Isolated polynucleotides, polypeptides and methods of using same for increasing abiotic stress tolerance, biomass and yield of plants (2024)

This application is a continuation of U.S. patent application Ser. No. 15/311,205 filed on Nov. 15, 2016, which is a National Phase of PCT Patent Application No. PCT/IL2015/050550 having International Filing Date of May 27, 2015 which claims benefit of under 35 USC § 119(e) of U.S. Provisional Patent Application Nos. 62/075,940 filed on Nov. 6, 2014 and 62/003,599 filed on May 28, 2014.

The contents of the above applications are all incorporated by reference as if fully set forth herein in their entirety.

The ASCII file, entitled 75107SequenceListing.txt, created on Aug. 14, 2018, comprising 28,554,070 bytes, submitted concurrently with the filing of this application is incorporated herein by reference.

The present invention, in some embodiments thereof, relates to isolated polypeptides and polynucleotides, nucleic acid constructs comprising same, transgenic cells comprising same, transgenic plants exogenously expressing same and more particularly, but not exclusively, to methods of using same for increasing yield (e.g., seed yield, oil yield), biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, fiber length, photosynthetic capacity, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or abiotic stress tolerance of a plant.

Yield is affected by various factors, such as, the number and size of the plant organs, plant architecture (for example, the number of branches), grains set length, number of filled grains, vigor (e.g. seedling), growth rate, root development, utilization of water, nutrients (e.g., nitrogen) and fertilizers, and stress tolerance.

Crops such as, corn, rice, wheat, canola and soybean account for over half of total human caloric intake, whether through direct consumption of the seeds themselves or through consumption of meat products raised on processed seeds or forage. Seeds are also a source of sugars, proteins and oils and metabolites used in industrial processes. The ability to increase plant yield, whether through increase dry matter accumulation rate, modifying cellulose or lignin composition, increase stalk strength, enlarge meristem size, change of plant branching pattern, erectness of leaves, increase in fertilization efficiency, enhanced seed dry matter accumulation rate, modification of seed development, enhanced seed filling or by increasing the content of oil, starch or protein in the seeds would have many applications in agricultural and non-agricultural uses such as in the biotechnological production of pharmaceuticals, antibodies or vaccines.

Vegetable or seed oils are the major source of energy and nutrition in human and animal diet. They are also used for the production of industrial products, such as paints, inks and lubricants. In addition, plant oils represent renewable sources of long-chain hydrocarbons which can be used as fuel. Since the currently used fossil fuels are finite resources and are gradually being depleted, fast growing biomass crops may be used as alternative fuels or for energy feedstocks and may reduce the dependence on fossil energy supplies. However, the major bottleneck for increasing consumption of plant oils as bio-fuel is the oil price, which is still higher than fossil fuel. In addition, the production rate of plant oil is limited by the availability of agricultural land and water. Thus, increasing plant oil yields from the same growing area can effectively overcome the shortage in production space and can decrease vegetable oil prices at the same time.

Studies aiming at increasing plant oil yields focus on the identification of genes involved in oil metabolism as well as in genes capable of increasing plant and seed yields in transgenic plants. Genes known to be involved in increasing plant oil yields include those participating in fatty acid synthesis or sequestering such as desaturase [e.g., DELTA6, DELTA12 or acyl-ACP (Ssi2; Arabidopsis Information Resource (TAIR; arabidopsis (dot) org/), TAIR No. AT2G43710)], OleosinA (TAIR No. AT3G01570) or FAD3 (TAR No. AT2G29980), and various transcription factors and activators such as Led 1 [TAIR No. AT1G21970, Lotan et al. 1998. Cell. 26; 93(7):1195-205], Lec2 [TAIR No. AT1G28300, Santos Mendoza et al. 2005, FEBS Lett. 579(20:4666-70], Fus3 (TAIR No. AT3G26790), ABI3 [TAIR No. AT3G24650, Lara et al. 2003. J Biol Chem. 278(23): 21003-11] and Wri1 [TAIR No. AT3G54320, Cernac and Benning, 2004. Plant J. 40(4): 575-85].

Genetic engineering efforts aiming at increasing oil content in plants (e.g., in seeds) include upregulating endoplasmic reticulum (FAD3) and plastidal (FAD7) fatty acid desaturases in potato (Zabrouskov V., et al., 2002; Physiol Plant. 116:172-185); over-expressing the GmDof4 and GmDof11 transcription factors (Wang H W et al., 2007; Plant J. 52:716-29); over-expressing a yeast glycerol-3-phosphate dehydrogenase under the control of a seed-specific promoter (Vigeolas H, et al. 2007, Plant Biotechnol J. 5:431-41; U.S. Pat. Appl. No. 20060168684); using Arabidopsis FAE1 and yeast SLC1-1 genes for improvements in erucic acid and oil content in rapeseed (Katavic V, et al., 2000, Biochem Soc Trans. 28:935-7).

Various patent applications disclose genes and proteins which can increase oil content in plants. These include for example, U.S. Pat. Appl. No. 20080076179 (lipid metabolism protein); U.S. Pat. Appl. No. 20060206961 (the Ypr140w polypeptide); U.S. Pat. Appl. No. 20060174373 [triacylglycerols synthesis enhancing protein (TEP)]; U.S. Pat. Appl. Nos. 20070169219, 20070006345, 20070006346 and 20060195943 (disclose transgenic plants with improved nitrogen use efficiency which can be used for the conversion into fuel or chemical feedstocks); WO2008/122980 (polynucleotides for increasing oil content, growth rate, biomass, yield and/or vigor of a plant).

A common approach to promote plant growth has been, and continues to be, the use of natural as well as synthetic nutrients (fertilizers). Thus, fertilizers are the fuel behind the “green revolution”, directly responsible for the exceptional increase in crop yields during the last 40 years, and are considered the number one overhead expense in agriculture. For example, inorganic nitrogenous fertilizers such as ammonium nitrate, potassium nitrate, or urea, typically accounts for 40% of the costs associated with crops such as corn and wheat. Of the three macronutrients provided as main fertilizers [Nitrogen (N), Phosphate (P) and Potassium (K)], nitrogen is often the rate-limiting element in plant growth and all field crops have a fundamental dependence on inorganic nitrogenous fertilizer. Nitrogen is responsible for biosynthesis of amino and nucleic acids, prosthetic groups, plant hormones, plant chemical defenses, etc. and usually needs to be replenished every year, particularly for cereals, which comprise more than half of the cultivated areas worldwide. Thus, nitrogen is translocated to the shoot, where it is stored in the leaves and stalk during the rapid step of plant development and up until flowering. In corn for example, plants accumulate the bulk of their organic nitrogen during the period of grain germination, and until flowering. Once fertilization of the plant has occurred, grains begin to form and become the main sink of plant nitrogen. The stored nitrogen can be then redistributed from the leaves and stalk that served as storage compartments until grain formation.

Since fertilizer is rapidly depleted from most soil types, it must be supplied to growing crops two or three times during the growing season. In addition, the low nitrogen use efficiency (NUE) of the main crops (e.g., in the range of only 30-70%) negatively affects the input expenses for the farmer, due to the excess fertilizer applied. Moreover, the over and inefficient use of fertilizers are major factors responsible for environmental problems such as eutrophication of groundwater, lakes, rivers and seas, nitrate pollution in drinking water which can cause methemoglobinemia, phosphate pollution, atmospheric pollution and the like. However, in spite of the negative impact of fertilizers on the environment, and the limits on fertilizer use, which have been legislated in several countries, the use of fertilizers is expected to increase in order to support food and fiber production for rapid population growth on limited land resources. For example, it has been estimated that by 2050, more than 150 million tons of nitrogenous fertilizer will be used worldwide annually.

Increased use efficiency of nitrogen by plants should enable crops to be cultivated with lower fertilizer input, or alternatively to be cultivated on soils of poorer quality and would therefore have significant economic impact in both developed and developing agricultural systems.

Genetic improvement of fertilizer use efficiency (FUE) in plants can be generated either via traditional breeding or via genetic engineering.

Attempts to generate plants with increased FUE have been described in U.S. Pat. Appl. Publication No. 20020046419 (U.S. Pat. No. 7,262,055 to Choo, et al.); U.S. Pat. Appl. No. 20050108791 to Edgerton et al.; U.S. Pat. Appl. No. 20060179511 to Chomet et al.; Good, A, et al. 2007 (Engineering nitrogen use efficiency with alanine aminotransferase. Canadian Journal of Botany 85: 252-262); and Good A G et al. 2004 (Trends Plant Sci. 9:597-605).

Yanagisawa et al. (Proc. Natl. Acad. Sci. U.S.A. 2004 101:7833-8) describe Dof1 transgenic plants which exhibit improved growth under low-nitrogen conditions.

U.S. Pat. No. 6,084,153 to Good et al. discloses the use of a stress responsive promoter to control the expression of Alanine Amine Transferase (AlaAT) and transgenic canola plants with improved drought and nitrogen deficiency tolerance when compared to control plants.

Abiotic stress (ABS; also referred to as “environmental stress”) conditions such as salinity, drought, flood, suboptimal temperature and toxic chemical pollution, cause substantial damage to agricultural plants. Most plants have evolved strategies to protect themselves against these conditions. However, if the severity and duration of the stress conditions are too great, the effects on plant development, growth and yield of most crop plants are profound. Furthermore, most of the crop plants are highly susceptible to abiotic stress and thus necessitate optimal growth conditions for commercial crop yields. Continuous exposure to stress causes major alterations in the plant metabolism which ultimately leads to cell death and consequently yield losses.

Drought is a gradual phenomenon, which involves periods of abnormally dry weather that persists long enough to produce serious hydrologic imbalances such as crop damage, water supply shortage and increased susceptibility to various diseases. In severe cases, drought can last many years and results in devastating effects on agriculture and water supplies. Furthermore, drought is associated with increase susceptibility to various diseases.

For most crop plants, the land regions of the world are too arid. In addition, overuse of available water results in increased loss of agriculturally-usable land (desertification), and increase of salt accumulation in soils adds to the loss of available water in soils.

Salinity, high salt levels, affects one in five hectares of irrigated land. None of the top five food crops, i.e., wheat, corn, rice, potatoes, and soybean, can tolerate excessive salt. Detrimental effects of salt on plants result from both water deficit, which leads to osmotic stress (similar to drought stress), and the effect of excess sodium ions on critical biochemical processes. As with freezing and drought, high salt causes water deficit; and the presence of high salt makes it difficult for plant roots to extract water from their environment. Soil salinity is thus one of the more important variables that determine whether a plant may thrive. In many parts of the world, sizable land areas are uncultivable due to naturally high soil salinity. Thus, salination of soils that are used for agricultural production is a significant and increasing problem in regions that rely heavily on agriculture, and is worsen by over-utilization, over-fertilization and water shortage, typically caused by climatic change and the demands of increasing population. Salt tolerance is of particular importance early in a plant's lifecycle, since evaporation from the soil surface causes upward water movement, and salt accumulates in the upper soil layer where the seeds are placed. On the other hand, germination normally takes place at a salt concentration which is higher than the mean salt level in the whole soil profile.

Salt and drought stress signal transduction consist of ionic and osmotic homeostasis signaling pathways. The ionic aspect of salt stress is signaled via the SOS pathway where a calcium-responsive SOS3-SOS2 protein kinase complex controls the expression and activity of ion transporters such as SOS1. The osmotic component of salt stress involves complex plant reactions that overlap with drought and/or cold stress responses.

Suboptimal temperatures affect plant growth and development through the whole plant life cycle. Thus, low temperatures reduce germination rate and high temperatures result in leaf necrosis. In addition, mature plants that are exposed to excess of heat may experience heat shock, which may arise in various organs, including leaves and particularly fruit, when transpiration is insufficient to overcome heat stress. Heat also damages cellular structures, including organelles and cytoskeleton, and impairs membrane function. Heat shock may produce a decrease in overall protein synthesis, accompanied by expression of heat shock proteins, e.g., chaperones, which are involved in refolding proteins denatured by heat. High-temperature damage to pollen almost always occurs in conjunction with drought stress, and rarely occurs under well-watered conditions. Combined stress can alter plant metabolism in novel ways. Excessive chilling conditions, e.g., low, but above freezing, temperatures affect crops of tropical origins, such as soybean, rice, maize, and cotton. Typical chilling damage includes wilting, necrosis, chlorosis or leakage of ions from cell membranes. The underlying mechanisms of chilling sensitivity are not completely understood yet, but probably involve the level of membrane saturation and other physiological deficiencies. Excessive light conditions, which occur under clear atmospheric conditions subsequent to cold late summer/autumn nights, can lead to photoinhibition of photosynthesis (disruption of photosynthesis). In addition, chilling may lead to yield losses and lower product quality through the delayed ripening of maize.

Common aspects of drought, cold and salt stress response [Reviewed in Xiong and Zhu (2002) Plant Cell Environ. 25: 131-139] include: (a) transient changes in the cytoplasmic calcium levels early in the signaling event; (b) signal transduction via mitogen-activated and/or calcium dependent protein kinases (CDPKs) and protein phosphatases; (c) increases in abscisic acid levels in response to stress triggering a subset of responses; (d) inositol phosphates as signal molecules (at least for a subset of the stress responsive transcriptional changes; (e) activation of phospholipases which in turn generates a diverse array of second messenger molecules, some of which might regulate the activity of stress responsive kinases; (f) induction of late embryogenesis abundant (LEA) type genes including the CRT/DRE responsive COR/RD genes; (g) increased levels of antioxidants and compatible osmolytes such as proline and soluble sugars; and (h) accumulation of reactive oxygen species such as superoxide, hydrogen peroxide, and hydroxyl radicals. Abscisic acid biosynthesis is regulated by osmotic stress at multiple steps. Both ABA-dependent and -independent osmotic stress signaling first modify constitutively expressed transcription factors, leading to the expression of early response transcriptional activators, which then activate downstream stress tolerance effector genes.

Several genes which increase tolerance to cold or salt stress can also improve drought stress protection, these include for example, the transcription factor AtCBF/DREB1, OsCDPK7 (Saijo et al. 2000, Plant J. 23: 319-327) or AVP1 (a vacuolar pyrophosphatase-proton pump, Gaxiola et al. 2001, Proc. Natl. Acad. Sci. USA 98: 11444-11449).

Studies have shown that plant adaptations to adverse environmental conditions are complex genetic traits with polygenic nature. Conventional means for crop and horticultural improvements utilize selective breeding techniques to identify plants having desirable characteristics. However, selective breeding is tedious, time consuming and has an unpredictable outcome. Furthermore, limited germplasm resources for yield improvement and incompatibility in crosses between distantly related plant species represent significant problems encountered in conventional breeding. Advances in genetic engineering have allowed mankind to modify the germplasm of plants by expression of genes-of-interest in plants. Such a technology has the capacity to generate crops or plants with improved economic, agronomic or horticultural traits.

Genetic engineering efforts, aimed at conferring abiotic stress tolerance to transgenic crops, have been described in various publications [Apse and Blumwald (Curr Opin Biotechnol. 13:146-150, 2002), Quesada et al. (Plant Physiol. 130:951-963, 2002), Holmström et al. (Nature 379: 683-684, 1996), Xu et al. (Plant Physiol 110: 249-257, 1996), Pilon-Smits and Ebskamp (Plant Physiol 107: 125-130, 1995) and Tarczynski et al. (Science 259: 508-510, 1993)].

Various patents and patent applications disclose genes and proteins which can be used for increasing tolerance of plants to abiotic stresses. These include for example, U.S. Pat. Nos. 5,296,462 and 5,356,816 (for increasing tolerance to cold stress); U.S. Pat. No. 6,670,528 (for increasing ABST); U.S. Pat. No. 6,720,477 (for increasing ABST); U.S. application Ser. Nos. 09/938,842 and 10/342,224 (for increasing ABST); U.S. application Ser. No. 10/231,035 (for increasing ABST); WO2004/104162 (for increasing ABST and biomass); WO2007/020638 (for increasing ABST, biomass, vigor and/or yield); WO2007/049275 (for increasing ABST, biomass, vigor and/or yield); WO2010/076756 (for increasing ABST, biomass and/or yield). WO2009/083958 (for increasing water use efficiency, fertilizer use efficiency, biotic/abiotic stress tolerance, yield and/or biomass); WO2010/020941 (for increasing nitrogen use efficiency, abiotic stress tolerance, yield and/or biomass); WO2009/141824 (for increasing plant utility); WO2010/049897 (for increasing plant yield).

Nutrient deficiencies cause adaptations of the root architecture, particularly notably for example is the root proliferation within nutrient rich patches to increase nutrient uptake. Nutrient deficiencies cause also the activation of plant metabolic pathways which maximize the absorption, assimilation and distribution processes such as by activating architectural changes. Engineering the expression of the triggered genes may cause the plant to exhibit the architectural changes and enhanced metabolism also under other conditions.

In addition, it is widely known that the plants usually respond to water deficiency by creating a deeper root system that allows access to moisture located in deeper soil layers. Triggering this effect will allow the plants to access nutrients and water located in deeper soil horizons particularly those readily dissolved in water like nitrates.

Cotton and cotton by-products provide raw materials that are used to produce a wealth of consumer-based products in addition to textiles including cotton foodstuffs, livestock feed, fertilizer and paper. The production, marketing, consumption and trade of cotton-based products generate an excess of $100 billion annually in the U.S. alone, making cotton the number one value-added crop.

Even though 90% of cotton's value as a crop resides in the fiber (lint), yield and fiber quality has declined due to general erosion in genetic diversity of cotton varieties, and an increased vulnerability of the crop to environmental conditions.

There are many varieties of cotton plant, from which cotton fibers with a range of characteristics can be obtained and used for various applications. Cotton fibers may be characterized according to a variety of properties, some of which are considered highly desirable within the textile industry for the production of increasingly high quality products and optimal exploitation of modem spinning technologies. Commercially desirable properties include length, length uniformity, fineness, maturity ratio, decreased fuzz fiber production, micronaire, bundle strength, and single fiber strength. Much effort has been put into the improvement of the characteristics of cotton fibers mainly focusing on fiber length and fiber fineness. In particular, there is a great demand for cotton fibers of specific lengths.

A cotton fiber is composed of a single cell that has differentiated from an epidermal cell of the seed coat, developing through four stages, i.e., initiation, elongation, secondary cell wall thickening and maturation stages. More specifically, the elongation of a cotton fiber commences in the epidermal cell of the ovule immediately following flowering, after which the cotton fiber rapidly elongates for approximately 21 days. Fiber elongation is then terminated, and a secondary cell wall is formed and grown through maturation to become a mature cotton fiber.

Several candidate genes which are associated with the elongation, formation, quality and yield of cotton fibers were disclosed in various patent applications such as U.S. Pat. No. 5,880,100 and U.S. patent application Ser. Nos. 08/580,545, 08/867,484 and 09/262,653 (describing genes involved in cotton fiber elongation stage); WO0245485 (improving fiber quality by modulating sucrose synthase); U.S. Pat. No. 6,472,588 and WO0117333 (increasing fiber quality by transformation with a DNA encoding sucrose phosphate synthase); WO9508914 (using a fiber-specific promoter and a coding sequence encoding cotton peroxidase); WO9626639 (using an ovary specific promoter sequence to express plant growth modifying hormones in cotton ovule tissue, for altering fiber quality characteristics such as fiber dimension and strength); U.S. Pat. Nos. 5,981,834, 5,597,718, 5,620,882, 5,521,708 and 5,495,070 (coding sequences to alter the fiber characteristics of transgenic fiber producing plants); U.S. patent applications U.S. 2002049999 and U.S. 2003074697 (expressing a gene coding for endoxyloglucan transferase, catalase or peroxidase for improving cotton fiber characteristics); WO 01/40250 (improving cotton fiber quality by modulating transcription factor gene expression); WO 96/40924 (a cotton fiber transcriptional initiation regulatory region associated which is expressed in cotton fiber); EP0834566 (a gene which controls the fiber formation mechanism in cotton plant); WO2005/121364 (improving cotton fiber quality by modulating gene expression); WO2008/075364 (improving fiber quality, yield/biomass/vigor and/or abiotic stress tolerance of plants).

WO publication No. 2004/104162 discloses methods of increasing abiotic stress tolerance and/or biomass in plants and plants generated thereby.

WO publication No. 2004/111183 discloses nucleotide sequences for regulating gene expression in plant trichomes and constructs and methods utilizing same.

WO publication No. 2004/081173 discloses novel plant derived regulatory sequences and constructs and methods of using such sequences for directing expression of exogenous polynucleotide sequences in plants.

WO publication No. 2005/121364 discloses polynucleotides and polypeptides involved in plant fiber development and methods of using same for improving fiber quality, yield and/or biomass of a fiber producing plant.

WO publication No. 2007/049275 discloses isolated polypeptides, polynucleotides encoding same, transgenic plants expressing same and methods of using same for increasing fertilizer use efficiency, plant abiotic stress tolerance and biomass.

WO publication No. 2007/020638 discloses methods of increasing abiotic stress tolerance and/or biomass in plants and plants generated thereby.

WO publication No. 2008/122980 discloses genes constructs and methods for increasing oil content, growth rate and biomass of plants.

WO publication No. 2008/075364 discloses polynucleotides involved in plant fiber development and methods of using same.

WO publication No. 2009/083958 discloses methods of increasing water use efficiency, fertilizer use efficiency, biotic/abiotic stress tolerance, yield and biomass in plant and plants generated thereby.

WO publication No. 2009/141824 discloses isolated polynucleotides and methods using same for increasing plant utility.

WO publication No. 2009/013750 discloses genes, constructs and methods of increasing abiotic stress tolerance, biomass and/or yield in plants generated thereby.

WO publication No. 2010/020941 discloses methods of increasing nitrogen use efficiency, abiotic stress tolerance, yield and biomass in plants and plants generated thereby.

WO publication No. 2010/076756 discloses isolated polynucleotides for increasing abiotic stress tolerance, yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, and/or nitrogen use efficiency of a plant.

WO2010/100595 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing plant yield and/or agricultural characteristics.

WO publication No. 2010/049897 discloses isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.

WO2010/143138 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, vigor, biomass, oil content, abiotic stress tolerance and/or water use efficiency

WO publication No. 2011/080674 discloses isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.

WO2011/015985 publication discloses polynucleotides and polypeptides for increasing desirable plant qualities.

WO2011/135527 publication discloses isolated polynucleotides and polypeptides for increasing plant yield and/or agricultural characteristics.

WO2012/028993 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing nitrogen use efficiency, yield, growth rate, vigor, biomass, oil content, and/or abiotic stress tolerance.

WO2012/085862 publication discloses isolated polynucleotides and polypeptides, and methods of using same for improving plant properties.

WO2012/150598 publication discloses isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.

WO2013/027223 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing plant yield and/or agricultural characteristics.

WO2013/080203 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing nitrogen use efficiency, yield, growth rate, vigor, biomass, oil content, and/or abiotic stress tolerance.

WO2013/098819 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing yield of plants.

WO2013/128448 publication discloses isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.

WO 2013/179211 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing plant yield and/or agricultural characteristics.

WO2014/033714 publication discloses isolated polynucleotides, polypeptides and methods of using same for increasing abiotic stress tolerance, biomass and yield of plants.

WO2014/102773 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing nitrogen use efficiency of plants.

WO2014/102774 publication discloses isolated polynucleotides and polypeptides, construct and plants comprising same and methods of using same for increasing nitrogen use efficiency of plants.

WO2014/188428 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing plant yield and/or agricultural characteristics.

WO2015/029031 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing plant yield and/or agricultural characteristics.

According to an aspect of some embodiments of the present invention there is provided a method of increasing yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least 80% identical to SEQ ID NO: 552-633, 635-725, 727-773, 775-780, 782-786, 789-885, 887-889, 891-897, 6029-7467, 7481, 7487, 7498-7499, 7501-7503, 7512-7513, 7515, 7517, 7522, 7525, 7529, 7533-7534, 7539-7541, 7545, 7549, 7552, 7555-7556, 7558, 7563, 7576, 7579, 7588, 7590, 7592-7593, 7595, 7609-7612, 7614-7615, 7620, 7624, 7627, 7631, 7633, 7637, 7639, 7643-7644, 7647, 7649, 7651, 7653-7658, 7660, 7662, 7664, 7666, 7672-7673, 7677-7678, 7680-7681, 7683-7684, 7688-7690, 7692, 7694, 7699-7703, 7705-7706, 7709-7711, 7716-7719, 7721-7723, 7726-7732, 7736-7738, 7740-7742, 7745, 7747-7748, 7751, 7758, 7760-7762, 7765-7766, 7769, 7773, 7777-7781, 7783-7785, 7787-7789, 7791, 7795-7800, 7802-7811, 7813, 7815-8160, 8162, 8164-8853, 8855-9215, 9238-9749, 9751-9803, 9805-9818, 9828, 9935-9968, 9970-9971, 9973-10187, 10189, 10191-10585, 10600-10605, 10609-10628 or 10629, thereby increasing the yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of the plant.

According to an aspect of some embodiments of the present invention there is provided a method of increasing yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide selected from the group consisting of SEQ ID NOs: 552-773, 775-780, 782-786, 789-885, 887-897, 6029-7781, 7783-9818, 9820-9823, 9827-9828, 9840-9841, 9849, 9852-9854, 9856, 9858-9859, 9867, 9870, 9872, 9874-9875, 9881, 9883-9885, 9887, 9891, 9893, 9896, 9898-9902, 9904, 9906-9908, 9911, 9915, 9917, 9919, 9921-9922, 9924-9926, 9929, 9933-10585, 10589, 10593, 10599-10605, 10607-10628 and 10629, thereby increasing the yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of the plant.

According to an aspect of some embodiments of the present invention there is provided a method of producing a crop comprising growing a crop plant transformed with an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least 80% hom*ologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 552-633, 635-725, 727-773, 775-780, 782-786, 789-885, 887-889, 891-897, 6029-7467, 7481, 7487, 7498-7499, 7501-7503, 7512-7513, 7515, 7517, 7522, 7525, 7529, 7533-7534, 7539-7541, 7545, 7549, 7552, 7555-7556, 7558, 7563, 7576, 7579, 7588, 7590, 7592-7593, 7595, 7609-7612, 7614-7615, 7620, 7624, 7627, 7631, 7633, 7637, 7639, 7643-7644, 7647, 7649, 7651, 7653-7658, 7660, 7662, 7664, 7666, 7672-7673, 7677-7678, 7680-7681, 7683-7684, 7688-7690, 7692, 7694, 7699-7703, 7705-7706, 7709-7711, 7716-7719, 7721-7723, 7726-7732, 7736-7738, 7740-7742, 7745, 7747-7748, 7751, 7758, 7760-7762, 7765-7766, 7769, 7773, 7777-7781, 7783-7785, 7787-7789, 7791, 7795-7800, 7802-7811, 7813, 7815-8160, 8162, 8164-8853, 8855-9215, 9238-9749, 9751-9803, 9805-9818, 9828, 9935-9968, 9970-9971, 9973-10187, 10189, 10191-10585, 10600-10605, 10609-10628 or 10629, wherein the crop plant is derived from plants which have been transformed with the exogenous polynucleotide and which have been selected for increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, increased nitrogen use efficiency, and/or increased abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant having the increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, increased nitrogen use efficiency, and/or increased abiotic stress tolerance, thereby producing the crop.

According to an aspect of some embodiments of the present invention there is provided a method of increasing yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence at least 80% identical to SEQ ID NO: 1-82, 84-174, 176-222, 224-229, 231-235, 238-302, 304-387, 389-473, 475-519, 521-526, 528-532, 535-551, 898-2468, 2485, 2492-2493, 2495, 2507-2508, 2510-2512, 2523-2524, 2526, 2528, 2533, 2537, 2541, 2545-2546, 2551-2553, 2557, 2564, 2567, 2573-2574, 2576-2577, 2583, 2594, 2599, 2602, 2611, 2613-2614, 2616-2617, 2619, 2635-2638, 2640-2642, 2648, 2652, 2655, 2660, 2662, 2666, 2668, 2673-2674, 2677, 2679, 2681, 2683-2688, 2691, 2693, 2695-2698, 2700, 2707-2708, 2713-2714, 2716-2717, 2719-2720, 2724-2726, 2728, 2730-2731, 2736-2742, 2744-2746, 2751-2753, 2757, 2759-2762, 2764-2766, 2769-2776, 2780-2783, 2785-2788, 2791, 2793-2795, 2798, 2805, 2807-2808, 2812, 2814-2815, 2818-2820, 2823, 2829, 2834-2838, 2840-2842, 2844-2846, 2848, 2852-2858, 2860-2872, 2874, 2876-3244, 3246, 3248-4015, 4017-4426, 4449-5012, 5015-5071, 5073-5090, 5101, 5255, 5267-5304, 5306-5307, 5309-5539, 5541, 5543-5976, 5994-5999, 6003-6027 and 6028, thereby increasing the yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of the plant.

According to an aspect of some embodiments of the present invention there is provided a method of increasing yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-82, 84-174, 176-222, 224-229, 231-235, 238-302, 304-387, 389-473, 475-519, 521-526, 528-532, 535-551, 898-2468, 2485, 2492-2493, 2495, 2507-2508, 2510-2512, 2523-2524, 2526, 2528, 2533, 2537, 2541, 2545-2546, 2551-2553, 2557, 2564, 2567, 2573-2574, 2576-2577, 2583, 2594, 2599, 2602, 2611, 2613-2614, 2616-2617, 2619, 2635-2638, 2640-2642, 2648, 2652, 2655, 2660, 2662, 2666, 2668, 2673-2674, 2677, 2679, 2681, 2683-2688, 2691, 2693, 2695-2698, 2700, 2707-2708, 2713-2714, 2716-2717, 2719-2720, 2724-2726, 2728, 2730-2731, 2736-2742, 2744-2746, 2751-2753, 2757, 2759-2762, 2764-2766, 2769-2776, 2780-2783, 2785-2788, 2791, 2793-2795, 2798, 2805, 2807-2808, 2812, 2814-2815, 2818-2820, 2823, 2829, 2834-2838, 2840-2842, 2844-2846, 2848, 2852-2858, 2860-2872, 2874, 2876-3244, 3246, 3248-4015, 4017-4426, 4449-5012, 5015-5071, 5073-5090, 5101, 5255, 5267-5304, 5306-5307, 5309-5539, 5541, 5543-5976, 5994-5999, 6003-6027 and 6028, thereby increasing the yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of the plant.

According to an aspect of some embodiments of the present invention there is provided a method of producing a crop comprising growing a crop plant transformed with an exogenous polynucleotide which comprises a nucleic acid sequence which is at least 80% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-82, 84-174, 176-222, 224-229, 231-235, 238-302, 304-387, 389-473, 475-519, 521-526, 528-532, 535-551, 898-2468, 2485, 2492-2493, 2495, 2507-2508, 2510-2512, 2523-2524, 2526, 2528, 2533, 2537, 2541, 2545-2546, 2551-2553, 2557, 2564, 2567, 2573-2574, 2576-2577, 2583, 2594, 2599, 2602, 2611, 2613-2614, 2616-2617, 2619, 2635-2638, 2640-2642, 2648, 2652, 2655, 2660, 2662, 2666, 2668, 2673-2674, 2677, 2679, 2681, 2683-2688, 2691, 2693, 2695-2698, 2700, 2707-2708, 2713-2714, 2716-2717, 2719-2720, 2724-2726, 2728, 2730-2731, 2736-2742, 2744-2746, 2751-2753, 2757, 2759-2762, 2764-2766, 2769-2776, 2780-2783, 2785-2788, 2791, 2793-2795, 2798, 2805, 2807-2808, 2812, 2814-2815, 2818-2820, 2823, 2829, 2834-2838, 2840-2842, 2844-2846, 2848, 2852-2858, 2860-2872, 2874, 2876-3244, 3246, 3248-4015, 4017-4426, 4449-5012, 5015-5071, 5073-5090, 5101, 5255, 5267-5304, 5306-5307, 5309-5539, 5541, 5543-5976, 5994-5999, 6003-6027 and 6028, wherein the crop plant is derived from plants which have been transformed with the exogenous polynucleotide and which have been selected for increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, increased nitrogen use efficiency, and/or increased abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant having the increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, increased nitrogen use efficiency, and/or increased abiotic stress tolerance, thereby producing the crop.

According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises an amino acid sequence at least 80% hom*ologous to the amino acid sequence set forth in SEQ ID NO: 552-633, 635-725, 727-773, 775-780, 782-786, 789-885, 887-889, 891-897, 6029-7467, 7481, 7487, 7498-7499, 7501-7503, 7512-7513, 7515, 7517, 7522, 7525, 7529, 7533-7534, 7539-7541, 7545, 7549, 7552, 7555-7556, 7558, 7563, 7576, 7579, 7588, 7590, 7592-7593, 7595, 7609-7612, 7614-7615, 7620, 7624, 7627, 7631, 7633, 7637, 7639, 7643-7644, 7647, 7649, 7651, 7653-7658, 7660, 7662, 7664, 7666, 7672-7673, 7677-7678, 7680-7681, 7683-7684, 7688-7690, 7692, 7694, 7699-7703, 7705-7706, 7709-7711, 7716-7719, 7721-7723, 7726-7732, 7736-7738, 7740-7742, 7745, 7747-7748, 7751, 7758, 7760-7762, 7765-7766, 7769, 7773, 7777-7781, 7783-7785, 7787-7789, 7791, 7795-7800, 7802-7811, 7813, 7815-8160, 8162, 8164-8853, 8855-9215, 9238-9749, 9751-9803, 9805-9818, 9828, 9935-9968, 9970-9971, 9973-10187, 10189, 10191-10585, 10600-10605, 10609-10628 or 10629, wherein the amino acid sequence is capable of increasing yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of a plant.

According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises the amino acid sequence selected from the group consisting of SEQ ID NOs: 552-773, 775-780, 782-786, 789-885, 887-897, 6029-7781, 7783-9818, 9820-9823, 9827-9828, 9840-9841, 9849, 9852-9854, 9856, 9858-9859, 9867, 9870, 9872, 9874-9875, 9881, 9883-9885, 9887, 9891, 9893, 9896, 9898-9902, 9904, 9906-9908, 9911, 9915, 9917, 9919, 9921-9922, 9924-9926, 9929, 9933-10585, 10589, 10593, 10599-10605, 10607-10628 and 10629.

According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising a nucleic acid sequence at least 80% identical to SEQ ID NOs: 1-82, 84-174, 176-222, 224-229, 231-235, 238-302, 304-387, 389-473, 475-519, 521-526, 528-532, 535-551, 898-2468, 2485, 2492-2493, 2495, 2507-2508, 2510-2512, 2523-2524, 2526, 2528, 2533, 2537, 2541, 2545-2546, 2551-2553, 2557, 2564, 2567, 2573-2574, 2576-2577, 2583, 2594, 2599, 2602, 2611, 2613-2614, 2616-2617, 2619, 2635-2638, 2640-2642, 2648, 2652, 2655, 2660, 2662, 2666, 2668, 2673-2674, 2677, 2679, 2681, 2683-2688, 2691, 2693, 2695-2698, 2700, 2707-2708, 2713-2714, 2716-2717, 2719-2720, 2724-2726, 2728, 2730-2731, 2736-2742, 2744-2746, 2751-2753, 2757, 2759-2762, 2764-2766, 2769-2776, 2780-2783, 2785-2788, 2791, 2793-2795, 2798, 2805, 2807-2808, 2812, 2814-2815, 2818-2820, 2823, 2829, 2834-2838, 2840-2842, 2844-2846, 2848, 2852-2858, 2860-2872, 2874, 2876-3244, 3246, 3248-4015, 4017-4426, 4449-5012, 5015-5071, 5073-5090, 5101, 5255, 5267-5304, 5306-5307, 5309-5539, 5541, 5543-5976, 5994-5999, 6003-6027 or 6028, wherein the nucleic acid sequence is capable of increasing yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of a plant.

According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-551, 898-6027 and 6028.

According to an aspect of some embodiments of the present invention there is provided a nucleic acid construct comprising the isolated polynucleotide of some embodiments of the invention, and a promoter for directing transcription of the nucleic acid sequence in a host cell.

According to an aspect of some embodiments of the present invention there is provided an isolated polypeptide comprising an amino acid sequence at least 80% hom*ologous to SEQ ID NO: 552-633, 635-725, 727-773, 775-780, 782-786, 789-885, 887-889, 891-897, 6029-7467, 7481, 7487, 7498-7499, 7501-7503, 7512-7513, 7515, 7517, 7522, 7525, 7529, 7533-7534, 7539-7541, 7545, 7549, 7552, 7555-7556, 7558, 7563, 7576, 7579, 7588, 7590, 7592-7593, 7595, 7609-7612, 7614-7615, 7620, 7624, 7627, 7631, 7633, 7637, 7639, 7643-7644, 7647, 7649, 7651, 7653-7658, 7660, 7662, 7664, 7666, 7672-7673, 7677-7678, 7680-7681, 7683-7684, 7688-7690, 7692, 7694, 7699-7703, 7705-7706, 7709-7711, 7716-7719, 7721-7723, 7726-7732, 7736-7738, 7740-7742, 7745, 7747-7748, 7751, 7758, 7760-7762, 7765-7766, 7769, 7773, 7777-7781, 7783-7785, 7787-7789, 7791, 7795-7800, 7802-7811, 7813, 7815-8160, 8162, 8164-8853, 8855-9215, 9238-9749, 9751-9803, 9805-9818, 9828, 9935-9968, 9970-9971, 9973-10187, 10189, 10191-10585, 10600-10605, 10609-10628 or 10629, wherein the amino acid sequence is capable of increasing yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of a plant.

According to an aspect of some embodiments of the present invention there is provided an isolated polypeptide comprising the amino acid sequence selected from the group consisting of SEQ ID NOs: 552-773, 775-780, 782-786, 789-885, 887-897, 6029-7781, 7783-9818, 9820-9823, 9827-9828, 9840-9841, 9849, 9852-9854, 9856, 9858-9859, 9867, 9870, 9872, 9874-9875, 9881, 9883-9885, 9887, 9891, 9893, 9896, 9898-9902, 9904, 9906-9908, 9911, 9915, 9917, 9919, 9921-9922, 9924-9926, 9929, 9933-10585, 10589, 10593, 10599-10605, 10607-10628 and 10629.

According to an aspect of some embodiments of the present invention there is provided a plant cell exogenously expressing the polynucleotide of some embodiments of the invention, or the nucleic acid construct of some embodiments of the invention.

According to an aspect of some embodiments of the present invention there is provided a plant cell exogenously expressing the polypeptide of some embodiments of the invention.

According to an aspect of some embodiments of the present invention there is provided a transgenic plant comprising the nucleic acid construct of some embodiments of the invention, or the plant cell of some embodiments of the invention.

According to an aspect of some embodiments of the present invention there is provided a method of growing a crop, the method comprising seeding seeds and/or planting plantlets of a plant transformed with the isolated polynucleotide of some embodiments of the invention, or with the nucleic acid construct of some embodiments of the invention, wherein the plant is derived from plants which have been transformed with the exogenous polynucleotide and which have been selected for at least one trait selected from the group consisting of: increased nitrogen use efficiency, increased abiotic stress tolerance, increased biomass, increased growth rate, increased vigor, increased yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and increased oil content as compared to a non-transformed plant, thereby growing the crop.

According to an aspect of some embodiments of the present invention there is provided a method of selecting a transformed plant having increased yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising:

(a) providing plants transformed with an exogenous polynucleotide encoding a polypeptide comprising an amino acid sequence at least 80% hom*ologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 552-633, 635-725, 727-773, 775-780, 782-786, 789-885, 887-889, 891-897, 6029-7467, 7481, 7487, 7498-7499, 7501-7503, 7512-7513, 7515, 7517, 7522, 7525, 7529, 7533-7534, 7539-7541, 7545, 7549, 7552, 7555-7556, 7558, 7563, 7576, 7579, 7588, 7590, 7592-7593, 7595, 7609-7612, 7614-7615, 7620, 7624, 7627, 7631, 7633, 7637, 7639, 7643-7644, 7647, 7649, 7651, 7653-7658, 7660, 7662, 7664, 7666, 7672-7673, 7677-7678, 7680-7681, 7683-7684, 7688-7690, 7692, 7694, 7699-7703, 7705-7706, 7709-7711, 7716-7719, 7721-7723, 7726-7732, 7736-7738, 7740-7742, 7745, 7747-7748, 7751, 7758, 7760-7762, 7765-7766, 7769, 7773, 7777-7781, 7783-7785, 7787-7789, 7791, 7795-7800, 7802-7811, 7813, 7815-8160, 8162, 8164-8853, 8855-9215, 9238-9749, 9751-9803, 9805-9818, 9828, 9935-9968, 9970-9971, 9973-10187, 10189, 10191-10585, 10600-10605, 10609-10628 or 10629,

(b) selecting from the plants of step (a) a plant having increased yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions,

thereby selecting the plant having the increased yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

According to an aspect of some embodiments of the present invention there is provided a method of selecting a transformed plant having increased yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising:

(a) providing plants transformed with an exogenous polynucleotide at least 80% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-82, 84-174, 176-222, 224-229, 231-235, 238-302, 304-387, 389-473, 475-519, 521-526, 528-532, 535-551, 898-2468, 2485, 2492-2493, 2495, 2507-2508, 2510-2512, 2523-2524, 2526, 2528, 2533, 2537, 2541, 2545-2546, 2551-2553, 2557, 2564, 2567, 2573-2574, 2576-2577, 2583, 2594, 2599, 2602, 2611, 2613-2614, 2616-2617, 2619, 2635-2638, 2640-2642, 2648, 2652, 2655, 2660, 2662, 2666, 2668, 2673-2674, 2677, 2679, 2681, 2683-2688, 2691, 2693, 2695-2698, 2700, 2707-2708, 2713-2714, 2716-2717, 2719-2720, 2724-2726, 2728, 2730-2731, 2736-2742, 2744-2746, 2751-2753, 2757, 2759-2762, 2764-2766, 2769-2776, 2780-2783, 2785-2788, 2791, 2793-2795, 2798, 2805, 2807-2808, 2812, 2814-2815, 2818-2820, 2823, 2829, 2834-2838, 2840-2842, 2844-2846, 2848, 2852-2858, 2860-2872, 2874, 2876-3244, 3246, 3248-4015, 4017-4426, 4449-5012, 5015-5071, 5073-5090, 5101, 5255, 5267-5304, 5306-5307, 5309-5539, 5541, 5543-5976, 5994-5999, 6003-6027 and 6028,

(b) selecting from the plants of step (a) a plant having increased yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions,

thereby selecting the plant having the increased yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

According to some embodiments of the invention, the nucleic acid sequence encodes an amino acid sequence selected from the group consisting of SEQ ID NOs: 552-773, 775-780, 782-786, 789-885, 887-897, 6029-7781, 7783-9818, 9820-9823, 9827-9828, 9840-9841, 9849, 9852-9854, 9856, 9858-9859, 9867, 9870, 9872, 9874-9875, 9881, 9883-9885, 9887, 9891, 9893, 9896, 9898-9902, 9904, 9906-9908, 9911, 9915, 9917, 9919, 9921-9922, 9924-9926, 9929, 9933-10585, 10589, 10593, 10599-10605, 10607-10628 and 10629.

According to some embodiments of the invention, the nucleic acid sequence is selected from the group consisting of SEQ ID NOs: 1-551, 898-6027 and 6028.

According to some embodiments of the invention, the polynucleotide consists of the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-551, 898-6027 and 6028.

According to some embodiments of the invention, the nucleic acid sequence encodes the amino acid sequence selected from the group consisting of SEQ ID NOs: 552-773, 775-780, 782-786, 789-885, 887-897, 6029-7781, 7783-9818, 9820-9823, 9827-9828, 9840-9841, 9849, 9852-9854, 9856, 9858-9859, 9867, 9870, 9872, 9874-9875, 9881, 9883-9885, 9887, 9891, 9893, 9896, 9898-9902, 9904, 9906-9908, 9911, 9915, 9917, 9919, 9921-9922, 9924-9926, 9929, 9933-10585, 10589, 10593, 10599-10605, 10607-10628 and 10629.

According to some embodiments of the invention, the plant cell forms part of a plant.

According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under the abiotic stress.

According to some embodiments of the invention, the abiotic stress is selected from the group consisting of salinity, drought, osmotic stress, water deprivation, flood, etiolation, low temperature, high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency, nitrogen deficiency, nutrient excess, atmospheric pollution and UV irradiation.

According to some embodiments of the invention, the yield comprises seed yield or oil yield.

According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under nitrogen-limiting conditions.

According to some embodiments of the invention, the promoter is heterologous to the isolated polynucleotide and/or to the host cell.

According to some embodiments of the invention, the non-transformed plant is a wild type plant of identical genetic background.

According to some embodiments of the invention, the non-transformed plant is a wild type plant of the same species.

According to some embodiments of the invention, the non-transformed plant is grown under identical growth conditions.

According to some embodiments of the invention, the method further comprising selecting a plant having an increased yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

According to some embodiments of the invention, selecting is performed under non-stress conditions.

According to some embodiments of the invention, selecting is performed under abiotic stress conditions.

Unless otherwise defined, all technical and/or scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the invention pertains. Although methods and materials similar or equivalent to those described herein can be used in the practice or testing of embodiments of the invention, exemplary methods and/or materials are described below. In case of conflict, the patent specification, including definitions, will control. In addition, the materials, methods, and examples are illustrative only and are not intended to be necessarily limiting.

Some embodiments of the invention are herein described, by way of example only, with reference to the accompanying drawings. With specific reference now to the drawings in detail, it is stressed that the particulars shown are by way of example and for purposes of illustrative discussion of embodiments of the invention. In this regard, the description taken with the drawings makes apparent to those skilled in the art how embodiments of the invention may be practiced.

In the drawings:

FIG. 1 is a schematic illustration of the modified pGI binary plasmid containing the new At6669 promoter (SEQ ID NO: 10654) and the GUSintron (pQYN 6669) used for expressing the isolated polynucleotide sequences of the invention. RB—T-DNA right border; LB—T-DNA left border; MCS—Multiple cloning site; RE—any restriction enzyme; NOS pro=nopaline synthase promoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopaline synthase terminator; Poly-A signal (polyadenylation signal); GUSintron—the GUS reporter gene (coding sequence and intron). The isolated polynucleotide sequences of the invention were cloned into the vector while replacing the GUSintron reporter gene.

FIG. 2 is a schematic illustration of the modified pGI binary plasmid containing the new At6669 promoter (SEQ ID NO: 10654) (pQFN or pQFNc or pQsFN) used for expressing the isolated polynucleotide sequences of the invention. RB—T-DNA right border; LB—T-DNA left border; MCS—Multiple cloning site; RE—any restriction enzyme; NOS pro=nopaline synthase promoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopaline synthase terminator; Poly-A signal (polyadenylation signal); The isolated polynucleotide sequences of the invention were cloned into the MCS of the vector.

FIGS. 3A-3F are images depicting visualization of root development of transgenic plants exogenously expressing the polynucleotide of some embodiments of the invention when grown in transparent agar plates under normal (FIGS. 3A-3B), osmotic stress (15% PEG; FIGS. 3C-3D) or nitrogen-limiting (FIGS. 3E-3F) conditions. The different transgenes were grown in transparent agar plates for 17 days (7 days nursery and 10 days after transplanting). The plates were photographed every 3-4 days starting at day 1 after transplanting. FIG. 3A—An image of a photograph of plants taken following 10 after transplanting days on agar plates when grown under normal (standard) conditions. FIG. 3B—An image of root analysis of the plants shown in FIG. 3A in which the lengths of the roots measured are represented by arrows. FIG. 3C—An image of a photograph of plants taken following 10 days after transplanting on agar plates, grown under high osmotic (PEG 15%) conditions. FIG. 3D—An image of root analysis of the plants shown in FIG. 3C in which the lengths of the roots measured are represented by arrows. FIG. 3E—An image of a photograph of plants taken following 10 days after transplanting on agar plates, grown under low nitrogen conditions. FIG. 3F—An image of root analysis of the plants shown in FIG. 3E in which the lengths of the roots measured are represented by arrows.

FIG. 4 is a schematic illustration of the modified pGI binary plasmid containing the Root Promoter (pQNa RP) used for expressing the isolated polynucleotide sequences of the invention. RB—T-DNA right border; LB—T-DNA left border; NOS pro=nopaline synthase promoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopaline synthase terminator; Poly-A signal (polyadenylation signal); The isolated polynucleotide sequences according to some embodiments of the invention were cloned into the MCS (Multiple cloning site) of the vector.

FIG. 5 is a schematic illustration of the pQYN plasmid.

FIG. 6 is a schematic illustration of the pQFN plasmid.

FIG. 7 is a schematic illustration of the pQFYN plasmid.

FIG. 8 is a schematic illustration of the modified pGI binary plasmid (pQXNc) used for expressing the isolated polynucleotide sequences of some embodiments of the invention. RB—T-DNA right border; LB—T-DNA left border; NOS pro=nopaline synthase promoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopaline synthase terminator; RE=any restriction enzyme; Poly-A signal (polyadenylation signal); 35S-the 35S promoter (pQXNc); SEQ ID NO: 10650). The isolated polynucleotide sequences of some embodiments of the invention were cloned into the MCS (Multiple cloning site) of the vector.

FIGS. 9A-9B are schematic illustrations of the pEBbVNi tDNA (FIG. 9A) and the pEBbNi tDNA (FIG. 9B) plasmids used in the Brachypodium experiments. pEBbVNi tDNA (FIG. 9A) was used for expression of the isolated polynucleotide sequences of some embodiments of the invention in Brachypodium. pEBbNi tDNA (FIG. 9B) was used for transformation into Brachypodium as a negative control. “RB”=right border; “2LBregion”=2 repeats of left border; “35S”=35S promoter (SEQ ID NO: 10666 in FIG. 9A); “Ubiquitin promoter (SEQ ID NO: 10640 in both of FIGS. 9A and 9B; “NOS ter”=nopaline synthase terminator; “Bar ORF”—BAR open reading frame (GenBank Accession No. JQ293091.1; SEQ ID NO: 10667); The isolated polynucleotide sequences of some embodiments of the invention were cloned into the Multiple cloning site of the vector using one or more of the indicated restriction enzyme sites.

FIG. 10 depicts seedling analysis of an Arabidopsis plant having shoots (upper part, marked “#1”) and roots (lower part, marked “#2”). Using an image analysis system the minimal convex area encompassed by the roots is determined. Such area corresponds to the root coverage of the plant.

FIG. 11 is a schematic illustration of the pQ6sVN plasmid. pQ6sVN was used for expression of the isolated polynucleotide sequences of some embodiments of the invention in Brachypodium. “35S(V)”=35S promoter (SEQ ID NO:10666); “NOS ter”=nopaline synthase terminator; “Bar_GA”=BAR open reading frame optimized for expression in Brachypodium (SEQ ID NO: 11335); “Hygro”=Hygromycin resistance gene. “Ubi1 promoter”=10640; The isolated polynucleotide sequences of some embodiments of the invention were cloned into the Multiple cloning site of the vector (downstream of the “35S(V)” promoter) using one or more of the indicated restriction enzyme sites.

FIG. 12 is a schematic illustration of the pQsFN plasmid containing the new At6669 promoter (SEQ ID NO: 10654) used for expression the isolated polynucleotide sequences of the invention in Arabidopsis. RB—T-DNA right border; LB—T-DNA left border; MCS—Multiple cloning site; RE—any restriction enzyme; NOS pro=nopaline synthase promoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopaline synthase terminator; Poly-A signal (polyadenylation signal); The isolated polynucleotide sequences of the invention were cloned into the MCS of the vector.

FIG. 13 is schematic illustration pQ6sN plasmid, which is used as a negative control (“empty vector”) of the experiments performed when the plants were transformed with the pQ6sVN vector. “Ubi1” promoter (SEQ ID NO: 10640); NOS ter=nopaline synthase terminator; “Bar_GA”=BAR open reading frame optimized for expression in Brachypodium (SEQ ID NO:11335).

The present invention, in some embodiments thereof, relates to isolated polynucleotides and polypeptides, nucleic acid constructs, transgenic cells and transgenic plants comprising same and methods of generating and using same, and, more particularly, but not exclusively, to methods of increasing yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality abiotic stress tolerance, and/or fertilizer use efficiency (e.g., nitrogen use efficiency) of a plant.

Before explaining at least one embodiment of the invention in detail, it is to be understood that the invention is not necessarily limited in its application to the details set forth in the following description or exemplified by the Examples. The invention is capable of other embodiments or of being practiced or carried out in various ways.

The present inventors have identified novel polypeptides and polynucleotides which can be used to generate nucleic acid constructs, transgenic plants and to increase nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance and/or water use efficiency of a plant, such as a wheat plant.

Thus, as shown in the Examples section which follows, the present inventors have utilized bioinformatics tools to identify polynucleotides which enhance/increase fertilizer use efficiency (e.g., nitrogen use efficiency), yield (e.g., seed yield, oil yield, oil content), growth rate, biomass, vigor, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant. Genes which affect the trait-of-interest were identified [SEQ ID NOs: 552-897 (for polypeptides); and SEQ ID NOs: 1-551 (for polynucleotides)] based on expression profiles of genes of several Arabidopsis, Barley, Sorghum, Maize, Brachypodium, soybean, cotton, Bean, wheat, tomato, and Foxtail millet ecotypes and accessions in various tissues and growth conditions, hom*ology with genes known to affect the trait-of-interest and using digital expression profile in specific tissues and conditions (Tables 1-232, Examples 1, and 3-24 of the Examples section which follows). hom*ologous (e.g., orthologous) polypeptides and polynucleotides having the same function in increasing fertilizer use efficiency (e.g., nitrogen use efficiency), yield (e.g., seed yield, oil yield, oil content), growth rate, biomass, vigor, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant were also identified [SEQ ID NOs: 6029-10629 (for polypeptides), and SEQ ID NOs: 898-6028 (for polynucleotides); Table 2, Example 2 of the Examples section which follows]. The polynucleotides of some embodiments of the invention were cloned into binary vectors (Examples 25-26, Table 233), and were further transformed into Arabidopsis and Brachypodium plants (Examples 27-28). Transgenic plants over-expressing the identified polynucleotides were found to exhibit increased biomass, growth rate, vigor and yield under normal growth conditions, nitrogen limiting growth conditions or abiotic stress conditions (Tables 234-275; Examples 29-33) as compared to control plants grown under the same growth conditions. Altogether, these results suggest the use of the novel polynucleotides and polypeptides of the invention (e.g., SEQ ID NOs: 552-897 and 6029-10629; and SEQ ID NOs: 1-551 and 898-6028) for increasing nitrogen use efficiency, fertilizer use efficiency, yield (e.g., oil yield, seed yield and oil content), growth rate, biomass, vigor, fiber yield, fiber quality, fiber length, photosynthetic capacity, water use efficiency and/or abiotic stress tolerance of a plant.

Thus, according to an aspect of some embodiments of the invention, there is provided method of increasing oil content, yield, growth rate, biomass, vigor, fiber yield, fiber quality, fiber length, photosynthetic capacity, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% hom*ologous (e.g., identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 552-897 and 6029-10629, e.g., using an exogenous polynucleotide which is at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% identical to the polynucleotide selected from the group consisting of SEQ ID NOs: 1-551 and 898-6028, thereby increasing the oil content, yield, growth rate, biomass, vigor, fiber yield, fiber quality, fiber length, photosynthetic capacity, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or abiotic stress tolerance of the plant.

According to an aspect of some embodiments of the invention, there is provided method of increasing oil content, yield, growth rate, biomass, vigor, fiber yield, fiber quality, fiber length, photosynthetic capacity, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% hom*ologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 552-633, 635-725, 727-773, 775-780, 782-786, 789-885, 887-889, 891-897, 6029-7467, 7481, 7487, 7498-7499, 7501-7503, 7512-7513, 7515, 7517, 7522, 7525, 7529, 7533-7534, 7539-7541, 7545, 7549, 7552, 7555-7556, 7558, 7563, 7576, 7579, 7588, 7590, 7592-7593, 7595, 7609-7612, 7614-7615, 7620, 7624, 7627, 7631, 7633, 7637, 7639, 7643-7644, 7647, 7649, 7651, 7653-7658, 7660, 7662, 7664, 7666, 7672-7673, 7677-7678, 7680-7681, 7683-7684, 7688-7690, 7692, 7694, 7699-7703, 7705-7706, 7709-7711, 7716-7719, 7721-7723, 7726-7732, 7736-7738, 7740-7742, 7745, 7747-7748, 7751, 7758, 7760-7762, 7765-7766, 7769, 7773, 7777-7781, 7783-7785, 7787-7789, 7791, 7795-7800, 7802-7811, 7813, 7815-8160, 8162, 8164-8853, 8855-9215, 9238-9749, 9751-9803, 9805-9818, 9828, 9935-9968, 9970-9971, 9973-10187, 10189, 10191-10585, 10600-10605, 10609-10628 and 10629, thereby increasing the oil content, yield, growth rate, biomass, vigor, fiber yield, fiber quality, fiber length, photosynthetic capacity, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or abiotic stress tolerance of the plant.

As used herein the phrase “plant yield” refers to the amount (e.g., as determined by weight or size) or quantity (numbers) of tissues or organs produced per plant or per growing season. Hence increased yield could affect the economic benefit one can obtain from the plant in a certain growing area and/or growing time.

It should be noted that a plant yield can be affected by various parameters including, but not limited to, plant biomass; plant vigor; growth rate; seed yield; seed or grain quantity; seed or grain quality; oil yield; content of oil, starch and/or protein in harvested organs (e.g., seeds or vegetative parts of the plant); number of flowers (florets) per panicle (expressed as a ratio of number of filled seeds over number of primary panicles); harvest index; number of plants grown per area; number and size of harvested organs per plant and per area; number of plants per growing area (density); number of harvested organs in field; total leaf area; carbon assimilation and carbon partitioning (the distribution/allocation of carbon within the plant); resistance to shade; number of harvestable organs (e.g. seeds), seeds per pod, weight per seed; and modified architecture [such as increase stalk diameter, thickness or improvement of physical properties (e.g. elasticity)].

As used herein the phrase “seed yield” refers to the number or weight of the seeds per plant, seeds per pod, or per growing area or to the weight of a single seed, or to the oil extracted per seed. Hence seed yield can be affected by seed dimensions (e.g., length, width, perimeter, area and/or volume), number of (filled) seeds and seed filling rate and by seed oil content. Hence increase seed yield per plant could affect the economic benefit one can obtain from the plant in a certain growing area and/or growing time; and increase seed yield per growing area could be achieved by increasing seed yield per plant, and/or by increasing number of plants grown on the same given area.

The term “seed” (also referred to as “grain” or “kernel”) as used herein refers to a small embryonic plant enclosed in a covering called the seed coat (usually with some stored food), the product of the ripened ovule of gymnosperm and angiosperm plants which occurs after fertilization and some growth within the mother plant.

The phrase “oil content” as used herein refers to the amount of lipids in a given plant organ, either the seeds (seed oil content) or the vegetative portion of the plant (vegetative oil content) and is typically expressed as percentage of dry weight (10% humidity of seeds) or wet weight (for vegetative portion).

It should be noted that oil content is affected by intrinsic oil production of a tissue (e.g., seed, vegetative portion), as well as the mass or size of the oil-producing tissue per plant or per growth period.

In one embodiment, increase in oil content of the plant can be achieved by increasing the size/mass of a plant's tissue(s) which comprise oil per growth period. Thus, increased oil content of a plant can be achieved by increasing the yield, growth rate, biomass and vigor of the plant.

As used herein the phrase “plant biomass” refers to the amount (e.g., measured in grams of air-dry tissue) of a tissue produced from the plant in a growing season, which could also determine or affect the plant yield or the yield per growing area. An increase in plant biomass can be in the whole plant or in parts thereof such as aboveground (harvestable) parts, vegetative biomass, roots and seeds.

As used herein the term “root biomass” refers to the total weight of the plant's root(s). Root biomass can be determined directly by weighing the total root material (fresh and/or dry weight) of a plant.

Additional or alternatively, the root biomass can be indirectly determined by measuring root coverage, root density and/or root length of a plant.

It should be noted that plants having a larger root coverage exhibit higher fertilizer (e.g., nitrogen) use efficiency and/or higher water use efficiency as compared to plants with a smaller root coverage.

As used herein the phrase “root coverage” refers to the total area or volume of soil or of any plant-growing medium encompassed by the roots of a plant.

According to some embodiments of the invention, the root coverage is the minimal convex volume encompassed by the roots of the plant.

It should be noted that since each plant has a characteristic root system, e.g., some plants exhibit a shallow root system (e.g., only a few centimeters below ground level), while others have a deep in soil root system (e.g., a few tens of centimeters or a few meters deep in soil below ground level), measuring the root coverage of a plant can be performed in any depth of the soil or of the plant-growing medium, and comparison of root coverage between plants of the same species (e.g., a transgenic plant exogenously expressing the polynucleotide of some embodiments of the invention and a control plant) should be performed by measuring the root coverage in the same depth.

According to some embodiments of the invention, the root coverage is the minimal convex area encompassed by the roots of a plant in a specific depth.

A non-limiting example of measuring root coverage is shown in FIG. 10.

As used herein the term “root density” refers to the density of roots in a given area (e.g., area of soil or any plant growing medium). The root density can be determined by counting the root number per a predetermined area at a predetermined depth (in units of root number per area, e.g., mm2, cm2 or m2).

As used herein the phrase “root length” refers to the total length of the longest root of a single plant.

As used herein the phrase “root length growth rate” refers to the change in total root length per plant per time unit (e.g., per day).

As used herein the phrase “growth rate” refers to the increase in plant organ/tissue size per time (can be measured in cm2 per day or cm/day).

As used herein the phrase “photosynthetic capacity” (also known as “Amax”) is a measure of the maximum rate at which leaves are able to fix carbon during photosynthesis. It is typically measured as the amount of carbon dioxide that is fixed per square meter per second, for example as μmol m−2 sec−1. Plants are able to increase their photosynthetic capacity by several modes of action, such as by increasing the total leaves area (e.g., by increase of leaves area, increase in the number of leaves, and increase in plant's vigor, e.g., the ability of the plant to grow new leaves along time course) as well as by increasing the ability of the plant to efficiently execute carbon fixation in the leaves. Hence, the increase in total leaves area can be used as a reliable measurement parameter for photosynthetic capacity increment.

As used herein the phrase “plant vigor” refers to the amount (measured by weight) of tissue produced by the plant in a given time. Hence increased vigor could determine or affect the plant yield or the yield per growing time or growing area. In addition, early vigor (seed and/or seedling) results in improved field stand.

Improving early vigor is an important objective of modern rice breeding programs in both temperate and tropical rice cultivars. Long roots are important for proper soil anchorage in water-seeded rice. Where rice is sown directly into flooded fields, and where plants must emerge rapidly through water, longer shoots are associated with vigour. Where drill-seeding is practiced, longer mesocotyls and coleoptiles are important for good seedling emergence. The ability to engineer early vigor into plants would be of great importance in agriculture. For example, poor early vigor has been a limitation to the introduction of maize (Zea mays L.) hybrids based on Corn Belt germplasm in the European Atlantic.

It should be noted that a plant trait such as yield, growth rate, biomass, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, fertilizer use efficiency (e.g., nitrogen use efficiency) can be determined under stress (e.g., abiotic stress, nitrogen-limiting conditions) and/or non-stress (normal) conditions.

As used herein, the phrase “non-stress conditions” refers to the growth conditions (e.g., water, temperature, light-dark cycles, humidity, salt concentration, fertilizer concentration in soil, nutrient supply such as nitrogen, phosphorous and/or potassium), that do not significantly go beyond the everyday climatic and other abiotic conditions that plants may encounter, and which allow optimal growth, metabolism, reproduction and/or viability of a plant at any stage in its life cycle (e.g., in a crop plant from seed to a mature plant and back to seed again). Persons skilled in the art are aware of normal soil conditions and climatic conditions for a given plant in a given geographic location. It should be noted that while the non-stress conditions may include some mild variations from the optimal conditions (which vary from one type/species of a plant to another), such variations do not cause the plant to cease growing without the capacity to resume growth.

Following is a non-limiting description of non-stress (normal) growth conditions which can be used for growing the transgenic plants expressing the polynucleotides or polypeptides of some embodiments of the invention.

For example, normal conditions for growing sorghum include irrigation with about 452,000 liter water per dunam (1000 square meters) and fertilization with about 14 units nitrogen per dunam per growing season.

Normal conditions for growing cotton include irrigation with about 580,000 liter water per dunam (1000 square meters) and fertilization with about 24 units nitrogen per dunam per growing season.

Normal conditions for growing bean include irrigation with about 524,000 liter water per dunam (1000 square meters) and fertilization with about 16 units nitrogen per dunam per growing season.

Normal conditions for growing B. Juncea include irrigation with about 861,000 liter water per dunam (1000 square meters) and fertilization with about 12 units nitrogen per dunam per growing season.

The phrase “abiotic stress” as used herein refers to any adverse effect on metabolism, growth, reproduction and/or viability of a plant. Accordingly, abiotic stress can be induced by suboptimal environmental growth conditions such as, for example, salinity, osmotic stress, water deprivation, drought, flooding, freezing, low or high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency (e.g., nitrogen deficiency or limited nitrogen), atmospheric pollution or UV irradiation. The implications of abiotic stress are discussed in the Background section.

The phrase “abiotic stress tolerance” as used herein refers to the ability of a plant to endure an abiotic stress without suffering a substantial alteration in metabolism, growth, productivity and/or viability.

Plants are subject to a range of environmental challenges. Several of these, including salt stress, general osmotic stress, drought stress and freezing stress, have the ability to impact whole plant and cellular water availability. Not surprisingly, then, plant responses to this collection of stresses are related. Zhu (2002) Ann. Rev. Plant Biol. 53: 247-273 et al. note that “most studies on water stress signaling have focused on salt stress primarily because plant responses to salt and drought are closely related and the mechanisms overlap”. Many examples of similar responses and pathways to this set of stresses have been documented. For example, the CBF transcription factors have been shown to condition resistance to salt, freezing and drought (Kasuga et al. (1999) Nature Biotech. 17: 287-291). The Arabidopsis rd29B gene is induced in response to both salt and dehydration stress, a process that is mediated largely through an ABA signal transduction process (Uno et al. (2000) Proc. Natl. Acad. Sci. USA 97: 11632-11637), resulting in altered activity of transcription factors that bind to an upstream element within the rd29B promoter. In Mesembryanthemum crystallinum (ice plant), Patharker and Cushman have shown that a calcium-dependent protein kinase (McCDPK1) is induced by exposure to both drought and salt stresses (Patharker and Cushman (2000) Plant J. 24: 679-691). The stress-induced kinase was also shown to phosphorylate a transcription factor, presumably altering its activity, although transcript levels of the target transcription factor are not altered in response to salt or drought stress. Similarly, Saijo et al. demonstrated that a rice salt/drought-induced calmodulin-dependent protein kinase (OsCDPK7) conferred increased salt and drought tolerance to rice when overexpressed (Saijo et al. (2000) Plant J. 23: 319-327).

Exposure to dehydration invokes similar survival strategies in plants as does freezing stress (see, for example, Yelenosky (1989) Plant Physiol 89: 444-451) and drought stress induces freezing tolerance (see, for example, Siminovitch et al. (1982) Plant Physiol 69: 250-255; and Guy et al. (1992) Planta 188: 265-270). In addition to the induction of cold-acclimation proteins, strategies that allow plants to survive in low water conditions may include, for example, reduced surface area, or surface oil or wax production. In another example increased solute content of the plant prevents evaporation and water loss due to heat, drought, salinity, osmoticum, and the like therefore providing a better plant tolerance to the above stresses.

It will be appreciated that some pathways involved in resistance to one stress (as described above), will also be involved in resistance to other stresses, regulated by the same or hom*ologous genes. Of course, the overall resistance pathways are related, not identical, and therefore not all genes controlling resistance to one stress will control resistance to the other stresses. Nonetheless, if a gene conditions resistance to one of these stresses, it would be apparent to one skilled in the art to test for resistance to these related stresses. Methods of assessing stress resistance are further provided in the Examples section which follows.

As used herein the phrase “water use efficiency (WUE)” refers to the level of organic matter produced per unit of water consumed by the plant, i.e., the dry weight of a plant in relation to the plant's water use, e.g., the biomass produced per unit transpiration.

As used herein the phrase “fertilizer use efficiency” refers to the metabolic process(es) which lead to an increase in the plant's yield, biomass, vigor, and growth rate per fertilizer unit applied. The metabolic process can be the uptake, spread, absorbent, accumulation, relocation (within the plant) and use of one or more of the minerals and organic moieties absorbed by the plant, such as nitrogen, phosphates and/or potassium.

As used herein the phrase “fertilizer-limiting conditions” refers to growth conditions which include a level (e.g., concentration) of a fertilizer applied which is below the level needed for normal plant metabolism, growth, reproduction and/or viability.

As used herein the phrase “nitrogen use efficiency (NUE)” refers to the metabolic process(es) which lead to an increase in the plant's yield, biomass, vigor, and growth rate per nitrogen unit applied. The metabolic process can be the uptake, spread, absorbent, accumulation, relocation (within the plant) and use of nitrogen absorbed by the plant.

As used herein the phrase “nitrogen-limiting conditions” refers to growth conditions which include a level (e.g., concentration) of nitrogen (e.g., ammonium or nitrate) applied which is below the level needed for normal plant metabolism, growth, reproduction and/or viability.

Improved plant NUE and FUE is translated in the field into either harvesting similar quantities of yield, while implementing less fertilizers, or increased yields gained by implementing the same levels of fertilizers. Thus, improved NUE or FUE has a direct effect on plant yield in the field. Thus, the polynucleotides and polypeptides of some embodiments of the invention positively affect plant yield, seed yield, and plant biomass. In addition, the benefit of improved plant NUE will certainly improve crop quality and biochemical constituents of the seed such as protein yield and oil yield. It should be noted that improved ABST will confer plants with improved vigor also under non-stress conditions, resulting in crops having improved biomass and/or yield e.g., elongated fibers for the cotton industry, higher oil content.

The term “fiber” is usually inclusive of thick-walled conducting cells such as vessels and tracheids and to fibrillar aggregates of many individual fiber cells. Hence, the term “fiber” refers to (a) thick-walled conducting and non-conducting cells of the xylem; (b) fibers of extraxylary origin, including those from phloem, bark, ground tissue, and epidermis; and (c) fibers from stems, leaves, roots, seeds, and flowers or inflorescences (such as those of Sorghum vulgare used in the manufacture of brushes and brooms).

Example of fiber producing plants, include, but are not limited to, agricultural crops such as cotton, silk cotton tree (Kapok, Ceiba pentandra), desert willow, creosote bush, winterfat, balsa, kenaf, roselle, jute, sisal abaca, flax, corn, sugar cane, hemp, ramie, kapok, coir, bamboo, spanish moss and Agave spp. (e.g. sisal).

As used herein the phrase “fiber quality” refers to at least one fiber parameter which is agriculturally desired, or required in the fiber industry (further described hereinbelow). Examples of such parameters, include but are not limited to, fiber length, fiber strength, fiber fitness, fiber weight per unit length, maturity ratio and uniformity (further described hereinbelow).

Cotton fiber (lint) quality is typically measured according to fiber length, strength and fineness. Accordingly, the lint quality is considered higher when the fiber is longer, stronger and finer.

As used herein the phrase “fiber yield” refers to the amount or quantity of fibers produced from the fiber producing plant.

As mentioned hereinabove, transgenic plants of the present invention can be used for improving myriad of commercially desired traits which are all interrelated as is discussed hereinbelow.

As used herein the term “trait” refers to a characteristic or quality of a plant which may overall (either directly or indirectly) improve the commercial value of the plant.

As used herein the term “increasing” refers to at least about 2%, at least about 3%, at least about 4%, at least about 5%, at least about 10%, at least about 15%, at least about 20%, at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, increase in the trait [e.g., yield, seed yield, oil yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, and/or nitrogen use efficiency)] of a plant as compared to a native plant or a wild type plant [i.e., a plant not modified with the biomolecules (polynucleotide or polypeptides) of the invention, e.g., a non-transformed plant of the same species which is grown under the same (e.g., identical) growth conditions].

The phrase “expressing within the plant an exogenous polynucleotide” as used herein refers to upregulating the expression level of an exogenous polynucleotide within the plant by introducing the exogenous polynucleotide into a plant cell or plant and expressing by recombinant means, as further described herein below.

As used herein “expressing” refers to expression at the mRNA and optionally polypeptide level.

As used herein, the phrase “exogenous polynucleotide” refers to a heterologous nucleic acid sequence which may not be naturally expressed within the plant (e.g., a nucleic acid sequence from a different species) or which overexpression in the plant is desired. The exogenous polynucleotide may be introduced into the plant in a stable or transient manner, so as to produce a ribonucleic acid (RNA) molecule and/or a polypeptide molecule. It should be noted that the exogenous polynucleotide may comprise a nucleic acid sequence which is identical or partially hom*ologous to an endogenous nucleic acid sequence of the plant.

The term “endogenous” as used herein refers to any polynucleotide or polypeptide which is present and/or naturally expressed within a plant or a cell thereof.

According to some embodiments of the invention, the exogenous polynucleotide of the invention comprises a nucleic acid sequence encoding a polypeptide having an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% hom*ologous (e.g., identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 552-633, 635-725, 727-773, 775-780, 782-786, 789-885, 887-889, 891-897, 6029-7467, 7481, 7487, 7498-7499, 7501-7503, 7512-7513, 7515, 7517, 7522, 7525, 7529, 7533-7534, 7539-7541, 7545, 7549, 7552, 7555-7556, 7558, 7563, 7576, 7579, 7588, 7590, 7592-7593, 7595, 7609-7612, 7614-7615, 7620, 7624, 7627, 7631, 7633, 7637, 7639, 7643-7644, 7647, 7649, 7651, 7653-7658, 7660, 7662, 7664, 7666, 7672-7673, 7677-7678, 7680-7681, 7683-7684, 7688-7690, 7692, 7694, 7699-7703, 7705-7706, 7709-7711, 7716-7719, 7721-7723, 7726-7732, 7736-7738, 7740-7742, 7745, 7747-7748, 7751, 7758, 7760-7762, 7765-7766, 7769, 7773, 7777-7781, 7783-7785, 7787-7789, 7791, 7795-7800, 7802-7811, 7813, 7815-8160, 8162, 8164-8853, 8855-9215, 9238-9749, 9751-9803, 9805-9818, 9828, 9935-9968, 9970-9971, 9973-10187, 10189, 10191-10585, 10600-10605, 10609-10628 and 10629.

hom*ologous sequences include both orthologous and paralogous sequences. The term “paralogous” relates to gene-duplications within the genome of a species leading to paralogous genes. The term “orthologous” relates to hom*ologous genes in different organisms due to ancestral relationship. Thus, orthologs are evolutionary counterparts derived from a single ancestral gene in the last common ancestor of given two species (Koonin EV and Galperin MY (Sequence—Evolution—Function: Computational Approaches in Comparative Genomics. Boston: Kluwer Academic; 2003. Chapter 2, Evolutionary Concept in Genetics and Genomics. Available from: ncbi (dot) nlm (dot) nih (dot) gov/books/NBK20255) and therefore have great likelihood of having the same function.

One option to identify orthologues in monocot plant species is by performing a reciprocal Basic Local Alignment Search Tool BLAST® (The National Library of Medicine) search. This may be done by a first BLAST® involving BLAST®ing the sequence-of-interest against any sequence database, such as the publicly available NCBI database which may be found at: ncbi (dot) nlm (dot) nih (dot) gov. If orthologues in rice were sought, the sequence-of-interest would be BLAST®ed against, for example, the 28,469 full-length cDNA clones from Oryza sativa Nipponbare available at NCBI. The BLAST® results may be filtered. The full-length sequences of either the filtered results or the non-filtered results are then BLAST®ed back (second BLAST®) against the sequences of the organism from which the sequence-of-interest is derived. The results of the first and second BLAST®s are then compared. An orthologue is identified when the sequence resulting in the highest score (best hit) in the first BLAST® identifies in the second BLAST® the query sequence (the original sequence-of-interest) as the best hit. Using the same rational a paralogue (hom*olog to a gene in the same organism) is found. In case of large sequence families, the ClustalW program may be used [ebi (dot) ac (dot) uk/Tools/clustalw2/index (dot) html], followed by a neighbor-joining tree (wikipedia (dot) org/wiki/Neighbor-joining) which helps visualizing the clustering.

hom*ology (e.g., percent hom*ology, sequence identity+sequence similarity) can be determined using any hom*ology comparison software computing a pairwise sequence alignment.

As used herein, “sequence identity” or “identity” in the context of two nucleic acid or polypeptide sequences includes reference to the residues in the two sequences which are the same when aligned. When percentage of sequence identity is used in reference to proteins it is recognized that residue positions which are not identical often differ by conservative amino acid substitutions, where amino acid residues are substituted for other amino acid residues with similar chemical properties (e.g. charge or hydrophobicity) and therefore do not change the functional properties of the molecule. Where sequences differ in conservative substitutions, the percent sequence identity may be adjusted upwards to correct for the conservative nature of the substitution. Sequences which differ by such conservative substitutions are considered to have “sequence similarity” or “similarity”. Means for making this adjustment are well-known to those of skill in the art. Typically this involves scoring a conservative substitution as a partial rather than a full mismatch, thereby increasing the percentage sequence identity. Thus, for example, where an identical amino acid is given a score of 1 and a non-conservative substitution is given a score of zero, a conservative substitution is given a score between zero and 1. The scoring of conservative substitutions is calculated, e.g., according to the algorithm of Henikoff S and Henikoff J G. [Amino acid substitution matrices from protein blocks. Proc. Natl. Acad. Sci. U.S.A. 1992, 89(22): 10915-9].

Identity (e.g., percent hom*ology) can be determined using any hom*ology comparison software, including for example, the BLAST®N software of the National Center of Biotechnology Information (NCBI) such as by using default parameters.

According to some embodiments of the invention, the identity is a global identity, i.e., an identity over the entire amino acid or nucleic acid sequences of the invention and not over portions thereof.

According to some embodiments of the invention, the term “hom*ology” or “hom*ologous” refers to identity of two or more nucleic acid sequences; or identity of two or more amino acid sequences; or the identity of an amino acid sequence to one or more nucleic acid sequence.

According to some embodiments of the invention, the hom*ology is a global hom*ology, i.e., an hom*ology over the entire amino acid or nucleic acid sequences of the invention and not over portions thereof.

The degree of hom*ology or identity between two or more sequences can be determined using various known sequence comparison tools. Following is a non-limiting description of such tools which can be used along with some embodiments of the invention.

Pairwise global alignment was defined by S. B. Needleman and C. D. Wunsch, “A general method applicable to the search of similarities in the amino acid sequence of two proteins” Journal of Molecular Biology, 1970, pages 443-53, volume 48).

For example, when starting from a polypeptide sequence and comparing to other polypeptide sequences, the EMBOSS-6.0.1 Needleman-Wunsch algorithm (available from emboss(dot)sourceforge(dot)net/apps/cvs/emboss/apps/needle(dot)html) can be used to find the optimum alignment (including gaps) of two sequences along their entire length—a “Global alignment”. Default parameters for Needleman-Wunsch algorithm (EMBOSS-6.0.1) include: gapopen=10; gapextend=0.5; datafile=EBLOSUM62; brief=YES.

According to some embodiments of the invention, the parameters used with the EMBOSS-6.0.1 tool (for protein-protein comparison) include: gapopen=8; gapextend=2; datafile=EBLOSUM62; brief=YES.

According to some embodiments of the invention, the threshold used to determine hom*ology using the EMBOSS-6.0.1 Needleman-Wunsch algorithm is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%.

When starting from a polypeptide sequence and comparing to polynucleotide sequences, the OneModel FramePlus algorithm [Halperin, E., Faigler, S. and Gill-More, R. (1999)—FramePlus: aligning DNA to protein sequences. Bioinformatics, 15, 867-873) (available from biocceleration(dot)com/Products(dot)html] can be used with following default parameters: model=frame+_p2n.model mode=local.

According to some embodiments of the invention, the parameters used with the OneModel FramePlus algorithm are model=frame+_p2n.model, mode=qglobal.

According to some embodiments of the invention, the threshold used to determine hom*ology using the OneModel FramePlus algorithm is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%.

When starting with a polynucleotide sequence and comparing to other polynucleotide sequences the EMBOSS-6.0.1 Needleman-Wunsch algorithm (available from emboss(dot)sourceforge(dot)net/apps/cvs/emboss/apps/needle(dot)html) can be used with the following default parameters: (EMBOSS-6.0.1) gapopen=10; gapextend=0.5; datafile=EDNAFULL; brief=YES.

According to some embodiments of the invention, the parameters used with the EMBOSS-6.0.1 Needleman-Wunsch algorithm are gapopen=10; gapextend=0.2; datafile=EDNAFULL; brief=YES.

According to some embodiments of the invention, the threshold used to determine hom*ology using the EMBOSS-6.0.1 Needleman-Wunsch algorithm for comparison of polynucleotides with polynucleotides is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%.

According to some embodiment, determination of the degree of hom*ology further requires employing the Smith-Waterman algorithm (for protein-protein comparison or nucleotide-nucleotide comparison).

Default parameters for GenCore 6.0 Smith-Waterman algorithm include: model=sw.model.

According to some embodiments of the invention, the threshold used to determine hom*ology using the Smith-Waterman algorithm is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%.

According to some embodiments of the invention, the global hom*ology is performed on sequences which are pre-selected by local hom*ology to the polypeptide or polynucleotide of interest (e.g., 60% identity over 60% of the sequence length), prior to performing the global hom*ology to the polypeptide or polynucleotide of interest (e.g., 80% global hom*ology on the entire sequence). For example, hom*ologous sequences are selected using the BLAST® software with the BLAST®p and tBLAST®n algorithms as filters for the first stage, and the needle (EMBOSS package) or Frame+ algorithm alignment for the second stage. Local identity (BLAST® alignments) is defined with a very permissive cutoff—60% Identity on a span of 60% of the sequences lengths because it is used only as a filter for the global alignment stage. In this specific embodiment (when the local identity is used), the default filtering of the BLAST® package is not utilized (by setting the parameter “-F F”).

In the second stage, hom*ologs are defined based on a global identity of at least 80% to the core gene polypeptide sequence.

According to some embodiments of the invention, two distinct forms for finding the optimal global alignment for protein or nucleotide sequences are used:

1. Between Two Proteins (Following the BLAST®p Filter):

EMBOSS-6.0.1 Needleman-Wunsch algorithm with the following modified parameters: gapopen=8 gapextend=2. The rest of the parameters are unchanged from the default options listed here:

Standard (Mandatory) qualifiers:

[-asequence] sequence Sequence filename and optional format, or reference (input USA)

[-bsequence] seqall Sequence(s) filename and optional format, or reference (input USA)

-gapopen float [10.0 for any sequence]. The gap open penalty is the score taken away when a gap is created. The best value depends on the choice of comparison matrix. The default value assumes you are using the EBLOSUM62 matrix for protein sequences, and the EDNAFULL matrix for nucleotide sequences. (Floating point number from 1.0 to 100.0)

-gapextend float [0.5 for any sequence]. The gap extension, penalty is added to the standard gap penalty for each base or residue in the gap. This is how long gaps are penalized. Usually you will expect a few long gaps rather than many short gaps, so the gap extension penalty should be lower than the gap penalty. An exception is where one or both sequences are single reads with possible sequencing errors in which case you would expect many single base gaps. You can get this result by setting the gap open penalty to zero (or very low) and using the gap extension penalty to control gap scoring. (Floating point number from 0.0 to 10.0)

[-outfile] align [*.needle] Output alignment file name

Additional (Optional) Qualifiers:

    • -datafile matrixf [EBLOSUM62 for protein, EDNAFULL for DNA]. This is the scoring matrix file used when comparing sequences. By default it is the file ‘EBLOSUM62’ (for proteins) or the file ‘EDNAFULL’ (for nucleic sequences). These files are found in the ‘data’ directory of the EMBOSS installation.
    • Advanced (Unprompted) Qualifiers:
    • -[no]brief boolean [Y] Brief identity and similarity

Associated Qualifiers:

    • “-asequence” associated qualifiers
    • -sbegin1 integer Start of the sequence to be used
    • -send1 integer End of the sequence to be used
    • -sreverse1 boolean Reverse (if DNA)
    • -sask1 boolean Ask for begin/end/reverse
    • -snucleotide1 boolean Sequence is nucleotide
    • -sprotein1 boolean Sequence is protein
    • -slower1 boolean Make lower case
    • -supper1 boolean Make upper case
    • -sformat1 string Input sequence format
    • -sdbname1 string Database name
    • -sid1 string Entryname
    • -ufo1 string UFO features
    • -fformat1 string Features format
    • -fopenfile1 string Features file name
    • “-bsequence” associated qualifiers
    • -sbegin2 integer Start of each sequence to be used
    • -send2 integer End of each sequence to be used
    • -sreverse2 boolean Reverse (if DNA)
    • -sask2 boolean Ask for begin/end/reverse
    • -snucleotide2 boolean Sequence is nucleotide
    • -sprotein2 boolean Sequence is protein
    • -slower2 boolean Make lower case
    • -supper2 boolean Make upper case
    • -sformat2 string Input sequence format
    • -sdbname2 string Database name
    • -sid2 string Entryname
    • -ufo2 string UFO features
    • -fformat2 string Features format
    • -fopenfile2 string Features file name
    • “-outfile” associated qualifiers
    • -aformat3 string Alignment format
    • -aextension3 string File name extension
    • -adirectory3 string Output directory
    • -aname3 string Base file name
    • -awidth3 integer Alignment width
    • -aaccshow3 boolean Show accession number in the header
    • -adesshow3 boolean Show description in the header
    • -ausashow3 boolean Show the full USA in the alignment
    • -aglobal3 boolean Show the full sequence in alignment

General Qualifiers:

    • -auto boolean Turn off prompts
    • -stdout boolean Write first file to standard output
    • -filter boolean Read first file from standard input, write first file to standard output
    • -options boolean Prompt for standard and additional values
    • -debug boolean Write debug output to program.dbg
    • -verbose boolean Report some/full command line options
    • -help boolean Report command line options. More information on associated and general qualifiers can be found with -help -verbose
    • -warning boolean Report warnings
    • -error boolean Report errors
    • -fatal boolean Report fatal errors
    • -die boolean Report dying program messages

2. Between a protein sequence and a nucleotide sequence (following the tBLAST®n filter): GenCore 6.0 OneModel application utilizing the Frame+ algorithm with the following parameters: model=frame+_p2n.model mode=qglobal -q=protein.sequence -db= nucleotide.sequence. The rest of the parameters are unchanged from the default options:

Usage:

om -model=<model_fname>[-q=]query [-db=]database [options]

-model=<model_fname> Specifies the model that you want to run. All models supplied by Compugen are located in the directory $CGNROOT/models/.

Valid command line parameters:

    • -dev=<dev_name> Selects the device to be used by the application.

Valid devices are:

    • bic—Bioccelerator (valid for SW, XSW, FRAME_N2P, and FRAME_P2N models).
    • xlg—BioXL/G (valid for all models except XSW).
    • xlp—BioXL/P (valid for SW, FRAME+_N2P, and FRAME_P2N models).
    • xlh—BioXL/H (valid for SW, FRAME+_N2P, and FRAME_P2N models).
    • soft—Software device (for all models).
      -q=<query> Defines the query set. The query can be a sequence file or a database reference. You can specify a query by its name or by accession number. The format is detected automatically. However, you may specify a format using the -qfmt parameter. If you do not specify a query, the program prompts for one. If the query set is a database reference, an output file is produced for each sequence in the query.
      -db=<database name> Chooses the database set. The database set can be a sequence file or a database reference. The database format is detected automatically. However, you may specify a format using -dfmt parameter.
      -qacc Add this parameter to the command line if you specify query using accession numbers.
      -dacc Add this parameter to the command line if you specify a database using accession numbers.
      -dfmt/-qfmt=<format_type> Chooses the database/query format type. Possible formats are:
    • fasta—fasta with seq type auto-detected.
    • fastap—fasta protein seq.
    • fastan—fasta nucleic seq.
    • gcg—gcg format, type is auto-detected.
    • gcg9seq—gcg9 format, type is auto-detected.
    • gcg9seqp—gcg9 format protein seq.
    • gcg9seqn—gcg9 format nucleic seq.
    • nbrf—nbrf seq, type is auto-detected.
    • nbrfp—nbrf protein seq.
    • nbrfn—nbrf nucleic seq.
    • embl—embl and swissprot format.
    • genbank—genbank format (nucleic).
    • BLAST®—BLAST® format.
    • nbrf_gcg—nbrf-gcg seq, type is auto-detected.
    • nbrf_gcgp—nbrf-gcg protein seq.
    • nbrf_gcgn—nbrf-gcg nucleic seq.
    • raw—raw ascii sequence, type is auto-detected.
    • rawp—raw ascii protein sequence.
    • rawn—raw ascii nucleic sequence.
    • pir—pir codata format, type is auto-detected.
    • profile—gcg profile (valid only for -qfmt
    • in SW, XSW, FRAME_P2N, and FRAME+_P2N).
      -out=<out_fname> The name of the output file.
      -suffix=<name> The output file name suffix.
      -gapop=<n> Gap open penalty. This parameter is not valid for FRAME+. For FrameSearch the default is 12.0. For other searches the default is 10.0.
      -gapext=<n> Gap extend penalty. This parameter is not valid for FRAME+. For FrameSearch the default is 4.0. For other models: the default for protein searches is 0.05, and the default for nucleic searches is 1.0.
      -qgapop=<n> The penalty for opening a gap in the query sequence. The default is 10.0. Valid for XSW.
      -qgapext=<n> The penalty for extending a gap in the query sequence. The default is 0.05. Valid for XSW.
      -start=<n> The position in the query sequence to begin the search.
      -end=<n> The position in the query sequence to stop the search.
      -qtrans Performs a translated search, relevant for a nucleic query against a protein database. The nucleic query is translated to six reading frames and a result is given for each frame.

Valid for SW and XSW.

-dtrans Performs a translated search, relevant for a protein query against a DNA database. Each database entry is translated to six reading frames and a result is given for each frame.

Valid for SW and XSW.

Note: “-qtrans” and “-dtrans” options are mutually exclusive.

-matrix=<matrix_file> Specifies the comparison matrix to be used in the search. The matrix must be in the BLAST® format. If the matrix file is not located in $CGNROOT/tables/matrix, specify the full path as the value of the -matrix parameter.

-trans=<transtab_name> Translation table. The default location for the table is $CGNROOT/tables/trans.

-onestrand Restricts the search to just the top strand of the query/database nucleic sequence.

-list=<n> The maximum size of the output hit list. The default is 50.

-docalign=<n> The number of documentation lines preceding each alignment. The default is 10.

-thr_score=<score_name> The score that places limits on the display of results. Scores that are smaller than -thr_min value or larger than -thr_max value are not shown. Valid options are: quality.

zscore.

escore.

-thr_max=<n> The score upper threshold. Results that are larger than -thr_max value are not shown.

-thr_min=<n> The score lower threshold. Results that are lower than -thr_min value are not shown.

-align=<n> The number of alignments reported in the output file.

-noalign Do not display alignment.

Note: “-align” and “-noalign” parameters are mutually exclusive.

-outfmt=<format_name> Specifies the output format type. The default format is PFS.

Possible values are:

PFS—PFS text format

FASTA—FASTA text format

BLAST®—BLAST® text format

-nonorm Do not perform score normalization.

-norm=<norm_name> Specifies the normalization method. Valid options are:

log—logarithm normalization.

std—standard normalization.

stat—Pearson statistical method.

Note: “-nonorm” and “-norm” parameters cannot be used together.

Note: Parameters -xgapop, -xgapext, -fgapop, -fgapext, -ygapop, -ygapext, -delop, and -delext apply only to FRAME+.

-xgapop=<n> The penalty for opening a gap when inserting a codon (triplet). The default is 12.0.

-xgapext=<n> The penalty for extending a gap when inserting a codon (triplet). The default is 4.0.

-ygapop=<n> The penalty for opening a gap when deleting an amino acid. The default is 12.0.

-ygapext=<n> The penalty for extending a gap when deleting an amino acid. The default is 4.0.

-fgapop=<n> The penalty for opening a gap when inserting a DNA base. The default is 6.0.

-fgapext=<n> The penalty for extending a gap when inserting a DNA base. The default is 7.0.

-delop=<n> The penalty for opening a gap when deleting a DNA base. The default is 6.0.

-delext=<n> The penalty for extending a gap when deleting a DNA base. The default is 7.0.

-silent No screen output is produced.

-host=<host_name> The name of the host on which the server runs. By default, the application uses the host specified in the file $CGNROOT/cgnhosts.

-wait Do not go to the background when the device is busy. This option is not relevant for the Parseq or Soft pseudo device.

-batch Run the job in the background. When this option is specified, the file “$CGNROOT/defaults/batch.defaults” is used for choosing the batch command. If this file does not exist, the command “at now” is used to run the job.

Note:“-batch” and “-wait” parameters are mutually exclusive.

-version Prints the software version number.

-help Displays this help message. To get more specific help type:

    • “om -model=<model_fname>-help”.

According to some embodiments the hom*ology is a local hom*ology or a local identity.

Local alignments tools include, but are not limited to the BLAST®P, BLAST® N, BLASTX® or TBLASTN® software of the National Center of Biotechnology Information (NCBI), FASTA, and the Smith-Waterman algorithm.

A tBLASN® search allows the comparison between a protein sequence to the six-frame translations of a nucleotide database. It can be a very productive way of finding hom*ologous protein coding regions in unannotated nucleotide sequences such as expressed sequence tags (ESTs) and draft genome records (HTG), located in the BLAST® databases est and htgs, respectively.

Default parameters for BLASTP® include: Max target sequences: 100; Expected threshold: e−5; Word size: 3; Max matches in a query range: 0; Scoring parameters: Matrix—BLOSUM62; filters and masking: Filter—low complexity regions.

Local alignments tools, which can be used include, but are not limited to, the tBLASTX® algorithm, which compares the six-frame conceptual translation products of a nucleotide query sequence (both strands) against a protein sequence database. Default parameters include: Max target sequences: 100; Expected threshold: 10; Word size: 3; Max matches in a query range: 0; Scoring parameters: Matrix—BLOSUM62; filters and masking: Filter—low complexity regions.

According to some embodiments of the invention, the exogenous polynucleotide of the invention encodes a polypeptide having an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% identical to the amino acid sequence selected from the group consisting of SEQ ID NOs: 552-633, 635-725, 727-773, 775-780, 782-786, 789-885, 887-889, 891-897, 6029-7467, 7481, 7487, 7498-7499, 7501-7503, 7512-7513, 7515, 7517, 7522, 7525, 7529, 7533-7534, 7539-7541, 7545, 7549, 7552, 7555-7556, 7558, 7563, 7576, 7579, 7588, 7590, 7592-7593, 7595, 7609-7612, 7614-7615, 7620, 7624, 7627, 7631, 7633, 7637, 7639, 7643-7644, 7647, 7649, 7651, 7653-7658, 7660, 7662, 7664, 7666, 7672-7673, 7677-7678, 7680-7681, 7683-7684, 7688-7690, 7692, 7694, 7699-7703, 7705-7706, 7709-7711, 7716-7719, 7721-7723, 7726-7732, 7736-7738, 7740-7742, 7745, 7747-7748, 7751, 7758, 7760-7762, 7765-7766, 7769, 7773, 7777-7781, 7783-7785, 7787-7789, 7791, 7795-7800, 7802-7811, 7813, 7815-8160, 8162, 8164-8853, 8855-9215, 9238-9749, 9751-9803, 9805-9818, 9828, 9935-9968, 9970-9971, 9973-10187, 10189, 10191-10585, 10600-10605, 10609-10628 and 10629.

According to some embodiments of the invention, the exogenous polynucleotide of the invention encodes a polypeptide having the amino acid sequence selected from the group consisting of SEQ ID NOs: 552-773, 775-780, 782-786, 789-885, 887-897, 6029-7781, 7783-9818, 9820-9823, 9827-9828, 9840-9841, 9849, 9852-9854, 9856, 9858-9859, 9867, 9870, 9872, 9874-9875, 9881, 9883-9885, 9887, 9891, 9893, 9896, 9898-9902, 9904, 9906-9908, 9911, 9915, 9917, 9919, 9921-9922, 9924-9926, 9929, 9933-10585, 10589, 10593, 10599-10605, 10607-10628 and 10629.

According to some embodiments of the invention, the method of increasing yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, and/or nitrogen use efficiency of a plant, is effected by expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% identical to the amino acid sequence selected from the group consisting of SEQ ID NOs: 552-633, 635-725, 727-773, 775-780, 782-786, 789-885, 887-889, 891-897, 6029-7467, 7481, 7487, 7498-7499, 7501-7503, 7512-7513, 7515, 7517, 7522, 7525, 7529, 7533-7534, 7539-7541, 7545, 7549, 7552, 7555-7556, 7558, 7563, 7576, 7579, 7588, 7590, 7592-7593, 7595, 7609-7612, 7614-7615, 7620, 7624, 7627, 7631, 7633, 7637, 7639, 7643-7644, 7647, 7649, 7651, 7653-7658, 7660, 7662, 7664, 7666, 7672-7673, 7677-7678, 7680-7681, 7683-7684, 7688-7690, 7692, 7694, 7699-7703, 7705-7706, 7709-7711, 7716-7719, 7721-7723, 7726-7732, 7736-7738, 7740-7742, 7745, 7747-7748, 7751, 7758, 7760-7762, 7765-7766, 7769, 7773, 7777-7781, 7783-7785, 7787-7789, 7791, 7795-7800, 7802-7811, 7813, 7815-8160, 8162, 8164-8853, 8855-9215, 9238-9749, 9751-9803, 9805-9818, 9828, 9935-9968, 9970-9971, 9973-10187, 10189, 10191-10585, 10600-10605, 10609-10628 and 10629, thereby increasing the yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, and/or nitrogen use efficiency of the plant.

According to some embodiments of the invention, the exogenous polynucleotide encodes a polypeptide consisting of the amino acid sequence set forth by SEQ ID NO: 552-773, 775-780, 782-786, 789-885, 887-897, 6029-7781, 7783-9818, 9820-9823, 9827-9828, 9840-9841, 9849, 9852-9854, 9856, 9858-9859, 9867, 9870, 9872, 9874-9875, 9881, 9883-9885, 9887, 9891, 9893, 9896, 9898-9902, 9904, 9906-9908, 9911, 9915, 9917, 9919, 9921-9922, 9924-9926, 9929, 9933-10585, 10589, 10593, 10599-10605, 10607-10628 or 10629.

According to an aspect of some embodiments of the invention, the method of increasing yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, and/or nitrogen use efficiency of a plant, is effected by expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide comprising an amino acid sequence selected from the group consisting of SEQ ID NOs: 552-773, 775-780, 782-786, 789-885, 887-897, 6029-7781, 7783-9818, 9820-9823, 9827-9828, 9840-9841, 9849, 9852-9854, 9856, 9858-9859, 9867, 9870, 9872, 9874-9875, 9881, 9883-9885, 9887, 9891, 9893, 9896, 9898-9902, 9904, 9906-9908, 9911, 9915, 9917, 9919, 9921-9922, 9924-9926, 9929, 9933-10585, 10589, 10593, 10599-10605, 10607-10628 and 10629, thereby increasing the yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, and/or nitrogen use efficiency of the plant.

According to an aspect of some embodiments of the invention, there is provided a method of increasing yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, and/or nitrogen use efficiency of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide selected from the group consisting of SEQ ID NOs: 552-773, 775-780, 782-786, 789-885, 887-897, 6029-7781, 7783-9818, 9820-9823, 9827-9828, 9840-9841, 9849, 9852-9854, 9856, 9858-9859, 9867, 9870, 9872, 9874-9875, 9881, 9883-9885, 9887, 9891, 9893, 9896, 9898-9902, 9904, 9906-9908, 9911, 9915, 9917, 9919, 9921-9922, 9924-9926, 9929, 9933-10585, 10589, 10593, 10599-10605, 10607-10628 and 10629, thereby increasing the yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, and/or nitrogen use efficiency of the plant.

According to some embodiments of the invention, the exogenous polynucleotide encodes a polypeptide consisting of the amino acid sequence set forth by SEQ ID NO: 552-773, 775-780, 782-786, 789-885, 887-897, 6029-7781, 7783-9818, 9820-9823, 9827-9828, 9840-9841, 9849, 9852-9854, 9856, 9858-9859, 9867, 9870, 9872, 9874-9875, 9881, 9883-9885, 9887, 9891, 9893, 9896, 9898-9902, 9904, 9906-9908, 9911, 9915, 9917, 9919, 9921-9922, 9924-9926, 9929, 9933-10585, 10589, 10593, 10599-10605, 10607-10628 or 10629.

According to some embodiments of the invention the exogenous polynucleotide comprises a nucleic acid sequence which is at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-82, 84-174, 176-222, 224-229, 231-235, 238-302, 304-387, 389-473, 475-519, 521-526, 528-532, 535-551, 898-2468, 2485, 2492-2493, 2495, 2507-2508, 2510-2512, 2523-2524, 2526, 2528, 2533, 2537, 2541, 2545-2546, 2551-2553, 2557, 2564, 2567, 2573-2574, 2576-2577, 2583, 2594, 2599, 2602, 2611, 2613-2614, 2616-2617, 2619, 2635-2638, 2640-2642, 2648, 2652, 2655, 2660, 2662, 2666, 2668, 2673-2674, 2677, 2679, 2681, 2683-2688, 2691, 2693, 2695-2698, 2700, 2707-2708, 2713-2714, 2716-2717, 2719-2720, 2724-2726, 2728, 2730-2731, 2736-2742, 2744-2746, 2751-2753, 2757, 2759-2762, 2764-2766, 2769-2776, 2780-2783, 2785-2788, 2791, 2793-2795, 2798, 2805, 2807-2808, 2812, 2814-2815, 2818-2820, 2823, 2829, 2834-2838, 2840-2842, 2844-2846, 2848, 2852-2858, 2860-2872, 2874, 2876-3244, 3246, 3248-4015, 4017-4426, 4449-5012, 5015-5071, 5073-5090, 5101, 5255, 5267-5304, 5306-5307, 5309-5539, 5541, 5543-5976, 5994-5999, 6003-6027 and 6028.

According to an aspect of some embodiments of the invention, there is provided a method of increasing yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, and/or nitrogen use efficiency of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-82, 84-174, 176-222, 224-229, 231-235, 238-302, 304-387, 389-473, 475-519, 521-526, 528-532, 535-551, 898-2468, 2485, 2492-2493, 2495, 2507-2508, 2510-2512, 2523-2524, 2526, 2528, 2533, 2537, 2541, 2545-2546, 2551-2553, 2557, 2564, 2567, 2573-2574, 2576-2577, 2583, 2594, 2599, 2602, 2611, 2613-2614, 2616-2617, 2619, 2635-2638, 2640-2642, 2648, 2652, 2655, 2660, 2662, 2666, 2668, 2673-2674, 2677, 2679, 2681, 2683-2688, 2691, 2693, 2695-2698, 2700, 2707-2708, 2713-2714, 2716-2717, 2719-2720, 2724-2726, 2728, 2730-2731, 2736-2742, 2744-2746, 2751-2753, 2757, 2759-2762, 2764-2766, 2769-2776, 2780-2783, 2785-2788, 2791, 2793-2795, 2798, 2805, 2807-2808, 2812, 2814-2815, 2818-2820, 2823, 2829, 2834-2838, 2840-2842, 2844-2846, 2848, 2852-2858, 2860-2872, 2874, 2876-3244, 3246, 3248-4015, 4017-4426, 4449-5012, 5015-5071, 5073-5090, 5101, 5255, 5267-5304, 5306-5307, 5309-5539, 5541, 5543-5976, 5994-5999, 6003-6027 and 6028, thereby increasing the yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, and/or nitrogen use efficiency of the plant.

According to some embodiments of the invention the exogenous polynucleotide is at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the polynucleotide selected from the group consisting of SEQ ID NOs: 1-82, 84-174, 176-222, 224-229, 231-235, 238-302, 304-387, 389-473, 475-519, 521-526, 528-532, 535-551, 898-2468, 2485, 2492-2493, 2495, 2507-2508, 2510-2512, 2523-2524, 2526, 2528, 2533, 2537, 2541, 2545-2546, 2551-2553, 2557, 2564, 2567, 2573-2574, 2576-2577, 2583, 2594, 2599, 2602, 2611, 2613-2614, 2616-2617, 2619, 2635-2638, 2640-2642, 2648, 2652, 2655, 2660, 2662, 2666, 2668, 2673-2674, 2677, 2679, 2681, 2683-2688, 2691, 2693, 2695-2698, 2700, 2707-2708, 2713-2714, 2716-2717, 2719-2720, 2724-2726, 2728, 2730-2731, 2736-2742, 2744-2746, 2751-2753, 2757, 2759-2762, 2764-2766, 2769-2776, 2780-2783, 2785-2788, 2791, 2793-2795, 2798, 2805, 2807-2808, 2812, 2814-2815, 2818-2820, 2823, 2829, 2834-2838, 2840-2842, 2844-2846, 2848, 2852-2858, 2860-2872, 2874, 2876-3244, 3246, 3248-4015, 4017-4426, 4449-5012, 5015-5071, 5073-5090, 5101, 5255, 5267-5304, 5306-5307, 5309-5539, 5541, 5543-5976, 5994-5999, 6003-6027 and 6028.

According to some embodiments of the invention the exogenous polynucleotide is set forth by SEQ ID NO: 1-551, 898-6027 or 6028.

According to some embodiments of the invention the exogenous polynucleotide is set forth by the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-551, 898-6027 and 6028.

According to some embodiments of the invention the method of increasing yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of a plant further comprising selecting a plant having an increased yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

It should be noted that selecting a transformed plant having an increased trait as compared to a native (or non-transformed) plant grown under the same growth conditions can be performed by selecting for the trait, e.g., validating the ability of the transformed plant to exhibit the increased trait using well known assays (e.g., seedling analyses, greenhouse assays, filed experiments) as is further described herein below.

According to some embodiments of the invention selecting is performed under non-stress conditions.

According to some embodiments of the invention selecting is performed under abiotic stress conditions.

According to some embodiments of the invention selecting is performed under nitrogen limiting (e.g., nitrogen deficient) conditions.

According to an aspect of some embodiments of the invention, there is provided a method of selecting a transformed plant having increased yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising:

(a) providing plants transformed with an exogenous polynucleotide encoding a polypeptide comprising an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% hom*ologous (e.g., having sequence similarity or sequence identity) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 552-633, 635-725, 727-773, 775-780, 782-786, 789-885, 887-889, 891-897, 6029-7467, 7481, 7487, 7498-7499, 7501-7503, 7512-7513, 7515, 7517, 7522, 7525, 7529, 7533-7534, 7539-7541, 7545, 7549, 7552, 7555-7556, 7558, 7563, 7576, 7579, 7588, 7590, 7592-7593, 7595, 7609-7612, 7614-7615, 7620, 7624, 7627, 7631, 7633, 7637, 7639, 7643-7644, 7647, 7649, 7651, 7653-7658, 7660, 7662, 7664, 7666, 7672-7673, 7677-7678, 7680-7681, 7683-7684, 7688-7690, 7692, 7694, 7699-7703, 7705-7706, 7709-7711, 7716-7719, 7721-7723, 7726-7732, 7736-7738, 7740-7742, 7745, 7747-7748, 7751, 7758, 7760-7762, 7765-7766, 7769, 7773, 7777-7781, 7783-7785, 7787-7789, 7791, 7795-7800, 7802-7811, 7813, 7815-8160, 8162, 8164-8853, 8855-9215, 9238-9749, 9751-9803, 9805-9818, 9828, 9935-9968, 9970-9971, 9973-10187, 10189, 10191-10585, 10600-10605, 10609-10628 and 10629,

(b) selecting from the plants of step (a) a plant having increased yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance (e.g., by selecting the plants for the increased trait),

thereby selecting the plant having increased yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

According to an aspect of some embodiments of the invention, there is provided a method of selecting a transformed plant having increased yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising:

(a) providing plants transformed with an exogenous polynucleotide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-82, 84-174, 176-222, 224-229, 231-235, 238-302, 304-387, 389-473, 475-519, 521-526, 528-532, 535-551, 898-2468, 2485, 2492-2493, 2495, 2507-2508, 2510-2512, 2523-2524, 2526, 2528, 2533, 2537, 2541, 2545-2546, 2551-2553, 2557, 2564, 2567, 2573-2574, 2576-2577, 2583, 2594, 2599, 2602, 2611, 2613-2614, 2616-2617, 2619, 2635-2638, 2640-2642, 2648, 2652, 2655, 2660, 2662, 2666, 2668, 2673-2674, 2677, 2679, 2681, 2683-2688, 2691, 2693, 2695-2698, 2700, 2707-2708, 2713-2714, 2716-2717, 2719-2720, 2724-2726, 2728, 2730-2731, 2736-2742, 2744-2746, 2751-2753, 2757, 2759-2762, 2764-2766, 2769-2776, 2780-2783, 2785-2788, 2791, 2793-2795, 2798, 2805, 2807-2808, 2812, 2814-2815, 2818-2820, 2823, 2829, 2834-2838, 2840-2842, 2844-2846, 2848, 2852-2858, 2860-2872, 2874, 2876-3244, 3246, 3248-4015, 4017-4426, 4449-5012, 5015-5071, 5073-5090, 5101, 5255, 5267-5304, 5306-5307, 5309-5539, 5541, 5543-5976, 5994-5999, 6003-6027 and 6028,

(b) selecting from the plants of step (a) a plant having increased yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance,

thereby selecting the plant having increased yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

As used herein the term “polynucleotide” refers to a single or double stranded nucleic acid sequence which is isolated and provided in the form of an RNA sequence, a complementary polynucleotide sequence (cDNA), a genomic polynucleotide sequence and/or a composite polynucleotide sequences (e.g., a combination of the above).

The term “isolated” refers to at least partially separated from the natural environment e.g., from a plant cell.

As used herein the phrase “complementary polynucleotide sequence” refers to a sequence, which results from reverse transcription of messenger RNA using a reverse transcriptase or any other RNA dependent DNA polymerase. Such a sequence can be subsequently amplified in vivo or in vitro using a DNA dependent DNA polymerase.

As used herein the phrase “genomic polynucleotide sequence” refers to a sequence derived (isolated) from a chromosome and thus it represents a contiguous portion of a chromosome.

As used herein the phrase “composite polynucleotide sequence” refers to a sequence, which is at least partially complementary and at least partially genomic. A composite sequence can include some exonal sequences required to encode the polypeptide of the present invention, as well as some intronic sequences interposing therebetween. The intronic sequences can be of any source, including of other genes, and typically will include conserved splicing signal sequences. Such intronic sequences may further include cis acting expression regulatory elements.

Nucleic acid sequences encoding the polypeptides of the present invention may be optimized for expression. Examples of such sequence modifications include, but are not limited to, an altered G/C content to more closely approach that typically found in the plant species of interest, and the removal of codons atypically found in the plant species commonly referred to as codon optimization.

The phrase “codon optimization” refers to the selection of appropriate DNA nucleotides for use within a structural gene or fragment thereof that approaches codon usage within the plant of interest. Therefore, an optimized gene or nucleic acid sequence refers to a gene in which the nucleotide sequence of a native or naturally occurring gene has been modified in order to utilize statistically-preferred or statistically-favored codons within the plant. The nucleotide sequence typically is examined at the DNA level and the coding region optimized for expression in the plant species determined using any suitable procedure, for example as described in Sardana et al. (1996, Plant Cell Reports 15:677-681). In this method, the standard deviation of codon usage, a measure of codon usage bias, may be calculated by first finding the squared proportional deviation of usage of each codon of the native gene relative to that of highly expressed plant genes, followed by a calculation of the average squared deviation. The formula used is: 1 SDCU=n=1 N [(Xn−Yn)/Yn] 2/N, where Xn refers to the frequency of usage of codon n in highly expressed plant genes, where Yn to the frequency of usage of codon n in the gene of interest and N refers to the total number of codons in the gene of interest. A Table of codon usage from highly expressed genes of dicotyledonous plants is compiled using the data of Murray et al. (1989, Nuc Acids Res. 17:477-498).

One method of optimizing the nucleic acid sequence in accordance with the preferred codon usage for a particular plant cell type is based on the direct use, without performing any extra statistical calculations, of codon optimization Tables such as those provided on-line at the Codon Usage Database through the NIAS (National Institute of Agrobiological Sciences) DNA bank in Japan (kazusa (dot) or (dot) jp/codon/). The Codon Usage Database contains codon usage tables for a number of different species, with each codon usage Table having been statistically determined based on the data present in Genbank.

By using the above Tables to determine the most preferred or most favored codons for each amino acid in a particular species (for example, rice), a naturally-occurring nucleotide sequence encoding a protein of interest can be codon optimized for that particular plant species. This is effected by replacing codons that may have a low statistical incidence in the particular species genome with corresponding codons, in regard to an amino acid, that are statistically more favored. However, one or more less-favored codons may be selected to delete existing restriction sites, to create new ones at potentially useful junctions (5′ and 3′ ends to add signal peptide or termination cassettes, internal sites that might be used to cut and splice segments together to produce a correct full-length sequence), or to eliminate nucleotide sequences that may negatively effect mRNA stability or expression.

The naturally-occurring encoding nucleotide sequence may already, in advance of any modification, contain a number of codons that correspond to a statistically-favored codon in a particular plant species. Therefore, codon optimization of the native nucleotide sequence may comprise determining which codons, within the native nucleotide sequence, are not statistically-favored with regards to a particular plant, and modifying these codons in accordance with a codon usage table of the particular plant to produce a codon optimized derivative. A modified nucleotide sequence may be fully or partially optimized for plant codon usage provided that the protein encoded by the modified nucleotide sequence is produced at a level higher than the protein encoded by the corresponding naturally occurring or native gene. Construction of synthetic genes by altering the codon usage is described in for example PCT Patent Application 93/07278.

According to some embodiments of the invention, the exogenous polynucleotide is a non-coding RNA.

As used herein the phrase ‘non-coding RNA″ refers to an RNA molecule which does not encode an amino acid sequence (a polypeptide). Examples of such non-coding RNA molecules include, but are not limited to, an antisense RNA, a pre-miRNA (precursor of a microRNA), or a precursor of a Piwi-interacting RNA (piRNA).

Non-limiting examples of non-coding RNA polynucleotides are provided in SEQ ID NOs: 251-261, 305-310, 547-551, 2495, 3836, 4999, and 5255.

Thus, the invention encompasses nucleic acid sequences described hereinabove; fragments thereof, sequences hybridizable therewith, sequences hom*ologous thereto, sequences encoding similar polypeptides with different codon usage, altered sequences characterized by mutations, such as deletion, insertion or substitution of one or more nucleotides, either naturally occurring or man induced, either randomly or in a targeted fashion.

According to some embodiments of the invention, the exogenous polynucleotide encodes a polypeptide comprising an amino acid sequence at least 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the amino acid sequence of a naturally occurring plant orthologue of the polypeptide selected from the group consisting of SEQ ID NOs: 552-773, 775-780, 782-786, 789-885, 887-897, 6029-7781, 7783-9818, 9820-9823, 9827-9828, 9840-9841, 9849, 9852-9854, 9856, 9858-9859, 9867, 9870, 9872, 9874-9875, 9881, 9883-9885, 9887, 9891, 9893, 9896, 9898-9902, 9904, 9906-9908, 9911, 9915, 9917, 9919, 9921-9922, 9924-9926, 9929, 9933-10585, 10589, 10593, 10599-10605, 10607-10628 and 10629.

According to some embodiments of the invention, the polypeptide comprising an amino acid sequence at least 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the amino acid sequence of a naturally occurring plant orthologue of the polypeptide selected from the group consisting of SEQ ID NOs: 552-773, 775-780, 782-786, 789-885, 887-897, 6029-7781, 7783-9818, 9820-9823, 9827-9828, 9840-9841, 9849, 9852-9854, 9856, 9858-9859, 9867, 9870, 9872, 9874-9875, 9881, 9883-9885, 9887, 9891, 9893, 9896, 9898-9902, 9904, 9906-9908, 9911, 9915, 9917, 9919, 9921-9922, 9924-9926, 9929, 9933-10585, 10589, 10593, 10599-10605, 10607-10628 and 10629.

The invention provides an isolated polynucleotide comprising a nucleic acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the polynucleotide selected from the group consisting of SEQ ID NOs: 1-82, 84-174, 176-222, 224-229, 231-235, 238-302, 304-387, 389-473, 475-519, 521-526, 528-532, 535-551, 898-2468, 2485, 2492-2493, 2495, 2507-2508, 2510-2512, 2523-2524, 2526, 2528, 2533, 2537, 2541, 2545-2546, 2551-2553, 2557, 2564, 2567, 2573-2574, 2576-2577, 2583, 2594, 2599, 2602, 2611, 2613-2614, 2616-2617, 2619, 2635-2638, 2640-2642, 2648, 2652, 2655, 2660, 2662, 2666, 2668, 2673-2674, 2677, 2679, 2681, 2683-2688, 2691, 2693, 2695-2698, 2700, 2707-2708, 2713-2714, 2716-2717, 2719-2720, 2724-2726, 2728, 2730-2731, 2736-2742, 2744-2746, 2751-2753, 2757, 2759-2762, 2764-2766, 2769-2776, 2780-2783, 2785-2788, 2791, 2793-2795, 2798, 2805, 2807-2808, 2812, 2814-2815, 2818-2820, 2823, 2829, 2834-2838, 2840-2842, 2844-2846, 2848, 2852-2858, 2860-2872, 2874, 2876-3244, 3246, 3248-4015, 4017-4426, 4449-5012, 5015-5071, 5073-5090, 5101, 5255, 5267-5304, 5306-5307, 5309-5539, 5541, 5543-5976, 5994-5999, 6003-6027 and 6028.

According to some embodiments of the invention the nucleic acid sequence is capable of increasing nitrogen use efficiency, fertilizer use efficiency, yield (e.g., seed yield, oil yield), growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance and/or water use efficiency of a plant.

According to some embodiments of the invention the isolated polynucleotide comprising the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-551, 898-6027 and 6028.

According to some embodiments of the invention the isolated polynucleotide is set forth by SEQ ID NO: 1-551, 898-6027 or 6028.

The invention provides an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% hom*ologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 552-633, 635-725, 727-773, 775-780, 782-786, 789-885, 887-889, 891-897, 6029-7467, 7481, 7487, 7498-7499, 7501-7503, 7512-7513, 7515, 7517, 7522, 7525, 7529, 7533-7534, 7539-7541, 7545, 7549, 7552, 7555-7556, 7558, 7563, 7576, 7579, 7588, 7590, 7592-7593, 7595, 7609-7612, 7614-7615, 7620, 7624, 7627, 7631, 7633, 7637, 7639, 7643-7644, 7647, 7649, 7651, 7653-7658, 7660, 7662, 7664, 7666, 7672-7673, 7677-7678, 7680-7681, 7683-7684, 7688-7690, 7692, 7694, 7699-7703, 7705-7706, 7709-7711, 7716-7719, 7721-7723, 7726-7732, 7736-7738, 7740-7742, 7745, 7747-7748, 7751, 7758, 7760-7762, 7765-7766, 7769, 7773, 7777-7781, 7783-7785, 7787-7789, 7791, 7795-7800, 7802-7811, 7813, 7815-8160, 8162, 8164-8853, 8855-9215, 9238-9749, 9751-9803, 9805-9818, 9828, 9935-9968, 9970-9971, 9973-10187, 10189, 10191-10585, 10600-10605, 10609-10628 and 10629.

According to some embodiments of the invention the amino acid sequence is capable of increasing nitrogen use efficiency, fertilizer use efficiency, yield, seed yield, growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance and/or water use efficiency of a plant.

The invention provides an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises the amino acid sequence selected from the group consisting of SEQ ID NOs: 552-773, 775-780, 782-786, 789-885, 887-897, 6029-7781, 7783-9818, 9820-9823, 9827-9828, 9840-9841, 9849, 9852-9854, 9856, 9858-9859, 9867, 9870, 9872, 9874-9875, 9881, 9883-9885, 9887, 9891, 9893, 9896, 9898-9902, 9904, 9906-9908, 9911, 9915, 9917, 9919, 9921-9922, 9924-9926, 9929, 9933-10585, 10589, 10593, 10599-10605, 10607-10628 and 10629.

According to an aspect of some embodiments of the invention, there is provided a nucleic acid construct comprising the isolated polynucleotide of the invention, and a promoter for directing transcription of the nucleic acid sequence in a host cell.

The invention provides an isolated polypeptide comprising an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% hom*ologous to an amino acid sequence selected from the group consisting of SEQ ID NOs: 552-633, 635-725, 727-773, 775-780, 782-786, 789-885, 887-889, 891-897, 6029-7467, 7481, 7487, 7498-7499, 7501-7503, 7512-7513, 7515, 7517, 7522, 7525, 7529, 7533-7534, 7539-7541, 7545, 7549, 7552, 7555-7556, 7558, 7563, 7576, 7579, 7588, 7590, 7592-7593, 7595, 7609-7612, 7614-7615, 7620, 7624, 7627, 7631, 7633, 7637, 7639, 7643-7644, 7647, 7649, 7651, 7653-7658, 7660, 7662, 7664, 7666, 7672-7673, 7677-7678, 7680-7681, 7683-7684, 7688-7690, 7692, 7694, 7699-7703, 7705-7706, 7709-7711, 7716-7719, 7721-7723, 7726-7732, 7736-7738, 7740-7742, 7745, 7747-7748, 7751, 7758, 7760-7762, 7765-7766, 7769, 7773, 7777-7781, 7783-7785, 7787-7789, 7791, 7795-7800, 7802-7811, 7813, 7815-8160, 8162, 8164-8853, 8855-9215, 9238-9749, 9751-9803, 9805-9818, 9828, 9935-9968, 9970-9971, 9973-10187, 10189, 10191-10585, 10600-10605, 10609-10628 and 10629.

According to some embodiments of the invention, the polypeptide comprising an amino acid sequence selected from the group consisting of SEQ ID NOs: 552-773, 775-780, 782-786, 789-885, 887-897, 6029-7781, 7783-9818, 9820-9823, 9827-9828, 9840-9841, 9849, 9852-9854, 9856, 9858-9859, 9867, 9870, 9872, 9874-9875, 9881, 9883-9885, 9887, 9891, 9893, 9896, 9898-9902, 9904, 9906-9908, 9911, 9915, 9917, 9919, 9921-9922, 9924-9926, 9929, 9933-10585, 10589, 10593, 10599-10605, 10607-10628 and 10629.

According to some embodiments of the invention, the polypeptide is set forth by SEQ ID NO: 552-773, 775-780, 782-786, 789-885, 887-897, 6029-7781, 7783-9818, 9820-9823, 9827-9828, 9840-9841, 9849, 9852-9854, 9856, 9858-9859, 9867, 9870, 9872, 9874-9875, 9881, 9883-9885, 9887, 9891, 9893, 9896, 9898-9902, 9904, 9906-9908, 9911, 9915, 9917, 9919, 9921-9922, 9924-9926, 9929, 9933-10585, 10589, 10593, 10599-10605, 10607-10628 or 10629.

The invention also encompasses fragments of the above described polypeptides and polypeptides having mutations, such as deletions, insertions or substitutions of one or more amino acids, either naturally occurring or man induced, either randomly or in a targeted fashion.

The term “plant” as used herein encompasses a whole plant, a grafted plant, ancestor(s) and progeny of the plants and plant parts, including seeds, shoots, stems, roots (including tubers), rootstock, scion, and plant cells, tissues and organs. The plant may be in any form including suspension cultures, embryos, meristematic regions, callus tissue, leaves, gametophytes, sporophytes, pollen, and microspores. Plants that are particularly useful in the methods of the invention include all plants which belong to the superfamily Viridiplantae, in particular monocotyledonous and dicotyledonous plants including a fodder or forage legume, ornamental plant, food crop, tree, or shrub selected from the list comprising Acacia spp., Acer spp., Actinidia spp., Aesculus spp., Agathis australis, Albizia amara, Alsophila tricolor, Andropogon spp., Arachis spp, Areca catechu, Astelia fragrans, Astragalus cicer, Baikiaea plurijuga, Betula spp., Brassica spp., Bruguiera gymnorrhiza, Burkea africana, Butea frondosa, Cadaba farinosa, Calliandra spp, Camellia sinensis, Canna indica, Capsicum spp., Cassia spp., Centroema pubescens, Chacoomeles spp., Cinnamomum cassia, Coffea arabica, Colophospermum mopane, Coronillia varia, Cotoneaster serotina, Crataegus spp., Cucumis spp., Cupressus spp., Cyathea dealbata, Cydonia oblonga, Cryptomeria japonica, Cymbopogon spp., Cynthea dealbata, Cydonia oblonga, Dalbergia monetaria, Davallia divaricata, Desmodium spp., Dicksonia squarosa, Dibeteropogon amplectens, Dioclea spp, Dolichos spp., Dorycnium rectum, Echinochloa pyramidalis, Ehraffia spp., Eleusine coracana, Eragrestis spp., Erythrina spp., Eucalypfus spp., Euclea schimperi, Eulalia vi/losa, Pagopyrum spp., Feijoa sellowlana, Fragaria spp., Flemingia spp, Freycinetia banksli, Geranium thunbergii, GinAgo biloba, Glycine javanica, Gliricidia spp, Gossypium hirsutum, Grevillea spp., Guibourtia coleosperma, Hedysarum spp., Hemaffhia altissima, Heteropogon contoffus, Hordeum vulgare, Hyparrhenia rufa, Hypericum erectum, Hypeffhelia dissolute, Indigo incamata, Iris spp., Leptarrhena pyrolifolia, Lespediza spp., Lettuca spp., Leucaena leucocephala, Loudetia simplex, Lotonus bainesli, Lotus spp., Macrotyloma axillare, Malus spp., Manihot esculenta, Medicago saliva, Metasequoia glyptostroboides, Musa sapientum, Nicotianum spp., Onobrychis spp., Ornithopus spp., Oryza spp., Peltophorum africanum, Pennisetum spp., Persea gratissima, Petunia spp., Phaseolus spp., Phoenix canariensis, Phormium cookianum, Photinia spp., Picea glauca, Pinus spp., Pisum sativam, Podocarpus otara, Pogonarthria fleckii, Pogonaffhria squarrosa, Populus spp., Prosopis cineraria, Pseudotsuga menziesii, Pterolobium stellatum, Pyrus communis, Quercus spp., Rhaphiolepsis umbellata, Rhopalostylis sapida, Rhus natalensis, Ribes grossularia, Ribes spp., Robinia pseudoacacia, Rosa spp., Rubus spp., Salix spp., Schyzachyrium sanguineum, Sciadopitys vefficillata, Sequoia sempervirens, Sequoiadendron giganteum, Sorghum bicolor, Spinacia spp., Sporobolus fimbriatus, Stiburus alopecuroides, Stylosanthos humilis, Tadehagi spp, Taxodium distichum, Themeda triandra, Trifolium spp., Triticum spp., Tsuga heterophylla, Vaccinium spp., Vicia spp., Vitis vinifera, Watsonia pyramidata, Zantedeschia aethiopica, Zea mays, amaranth, artichoke, asparagus, broccoli, Brussels sprouts, cabbage, canola, carrot, cauliflower, celery, collard greens, flax, kale, lentil, oilseed rape, okra, onion, potato, rice, soybean, straw, sugar beet, sugar cane, sunflower, tomato, squash tea, maize, wheat, barley, rye, oat, peanut, pea, lentil and alfalfa, cotton, rapeseed, canola, pepper, sunflower, tobacco, eggplant, eucalyptus, a tree, an ornamental plant, a perennial grass and a forage crop. Alternatively algae and other non-Viridiplantae can be used for the methods of the present invention.

According to some embodiments of the invention, the plant used by the method of the invention is a crop plant such as rice, maize, wheat, barley, peanut, potato, sesame, olive tree, palm oil, banana, soybean, sunflower, canola, sugarcane, alfalfa, millet, leguminosae (bean, pea), flax, lupinus, rapeseed, tobacco, poplar and cotton.

According to some embodiments of the invention the plant is a dicotyledonous plant.

According to some embodiments of the invention the plant is a monocotyledonous plant.

According to some embodiments of the invention, there is provided a plant cell exogenously expressing the polynucleotide of some embodiments of the invention, the nucleic acid construct of some embodiments of the invention and/or the polypeptide of some embodiments of the invention.

According to some embodiments of the invention, expressing the exogenous polynucleotide of the invention within the plant is effected by transforming one or more cells of the plant with the exogenous polynucleotide, followed by generating a mature plant from the transformed cells and cultivating the mature plant under conditions suitable for expressing the exogenous polynucleotide within the mature plant.

According to some embodiments of the invention, the transformation is effected by introducing to the plant cell a nucleic acid construct which includes the exogenous polynucleotide of some embodiments of the invention and at least one promoter for directing transcription of the exogenous polynucleotide in a host cell (a plant cell). Further details of suitable transformation approaches are provided hereinbelow.

As mentioned, the nucleic acid construct according to some embodiments of the invention comprises a promoter sequence and the isolated polynucleotide of some embodiments of the invention.

According to some embodiments of the invention, the isolated polynucleotide is operably linked to the promoter sequence.

A coding nucleic acid sequence is “operably linked” to a regulatory sequence (e.g., promoter) if the regulatory sequence is capable of exerting a regulatory effect on the coding sequence linked thereto.

As used herein, the term “promoter” refers to a region of DNA which lies upstream of the transcriptional initiation site of a gene to which RNA polymerase binds to initiate transcription of RNA. The promoter controls where (e.g., which portion of a plant) and/or when (e.g., at which stage or condition in the lifetime of an organism) the gene is expressed.

According to some embodiments of the invention, the promoter is heterologous to the isolated polynucleotide and/or to the host cell.

As used herein the phrase “heterologous promoter” refers to a promoter from a different species or from the same species but from a different gene locus as of the isolated polynucleotide sequence.

According to some embodiments of the invention, the isolated polynucleotide is heterologous to the plant cell (e.g., the polynucleotide is derived from a different plant species when compared to the plant cell, thus the isolated polynucleotide and the plant cell are not from the same plant species).

Any suitable promoter sequence can be used by the nucleic acid construct of the present invention. Preferably the promoter is a constitutive promoter, a tissue-specific, or an abiotic stress-inducible promoter.

According to some embodiments of the invention, the promoter is a plant promoter, which is suitable for expression of the exogenous polynucleotide in a plant cell.

Suitable promoters for expression in wheat include, but are not limited to, Wheat SPA promoter (SEQ ID NO: 10630; Albanietal, Plant Cell, 9: 171-184, 1997, which is fully incorporated herein by reference), wheat LMW (SEQ ID NO: 10631 (longer LMW promoter), and SEQ ID NO: 10632 (LMW promoter) and HMW glutenin-1 (SEQ ID NO: 10633 (Wheat HMW glutenin-1 longer promoter); and SEQ ID NO: 10634 (Wheat HMW glutenin-1 Promoter); Thomas and Flavell, The Plant Cell 2:1171-1180; Furtado et al., 2009 Plant Biotechnology Journal 7:240-253, each of which is fully incorporated herein by reference), wheat alpha, beta and gamma gliadins [e.g., SEQ ID NO: 10635 (wheat alpha gliadin, B genome, promoter); SEQ ID NO: 10636 (wheat gamma gliadin promoter); EMBO 3:1409-15, 1984, which is fully incorporated herein by reference], wheat TdPR60 [SEQ ID NO: 10637 (wheat TdPR60 longer promoter) or SEQ ID NO: 10638 (wheat TdPR60 promoter); Kovalchuk et al., Plant Mol Biol 71:81-98, 2009, which is fully incorporated herein by reference], maize Ub1 Promoter [cultivar Nongda 105 (SEQ ID NO: 10639); GenBank: DQ141598.1; Taylor et al., Plant Cell Rep 1993 12: 491-495, which is fully incorporated herein by reference; and cultivar B73 (SEQ ID NO: 10640); Christensen, A H, et al. Plant Mol. Biol. 18 (4), 675-689 (1992), which is fully incorporated herein by reference]; rice actin 1 (SEQ ID NO: 10641; Mc Elroy et al. 1990, The Plant Cell, Vol. 2, 163-171, which is fully incorporated herein by reference), rice GOS2 [SEQ ID NO: 10642 (rice GOS2 longer promoter) and SEQ ID NO: 10643 (rice GOS2 Promoter); De Pater et al. Plant J. 1992; 2: 837-44, which is fully incorporated herein by reference], arabidopsis Pho1 [SEQ ID NO: 10644 (arabidopsis Pho1 Promoter); Hamburger et al., Plant Cell. 2002; 14: 889-902, which is fully incorporated herein by reference], Expansin B promoters, e.g., rice ExpB5 [SEQ ID NO: 10645 (rice ExpB5 longer promoter) and SEQ ID NO: 10646 (rice ExpB5 promoter)] and Barley ExpB1 [SEQ ID NO: 10647 (barley ExpB1 Promoter), Won et al. Mol Cells. 2010; 30:369-76, which is fully incorporated herein by reference], barley SS2 (sucrose synthase 2) [(SEQ ID NO: 10648), Guerin and Carbonero, Plant Physiology May 1997 vol. 114 no. 1 55-62, which is fully incorporated herein by reference], and rice PG5a [SEQ ID NO: 10649, U.S. Pat. No. 7,700,835, Nakase et al., Plant Mol Biol. 32:621-30, 1996, each of which is fully incorporated herein by reference].

Suitable constitutive promoters include, for example, CaMV 35S promoter [SEQ ID NO: 10650 (CaMV 35S (pQXNc) Promoter); SEQ ID NO: 10651 (PJJ 35S from Brachypodium); SEQ ID NO: 10652 (CaMV 35S (OLD) Promoter) (Odell et al., Nature 313:810-812, 1985)], Arabidopsis At6669 promoter (SEQ ID NO: 10653 (Arabidopsis At6669 (OLD) Promoter); see PCT Publication No. WO04081173A2 or the new At6669 promoter (SEQ ID NO: 10654 (Arabidopsis At6669 (NEW) Promoter)); maize Ub1 Promoter [cultivar Nongda 105 (SEQ ID NO: 10639); GenBank: DQ141598.1; Taylor et al., Plant Cell Rep 1993 12: 491-495, which is fully incorporated herein by reference; and cultivar B73 (SEQ ID NO: 10640); Christensen, A H, et al. Plant Mol. Biol. 18 (4), 675-689 (1992), which is fully incorporated herein by reference]; rice actin 1 (SEQ ID NO: 10641, McElroy et al., Plant Cell 2:163-171, 1990); pEMU (Last et al., Theor. Appl. Genet. 81:581-588, 1991); CaMV 19S (Nilsson et al., Physiol. Plant 100:456-462, 1997); rice GOS2 [SEQ ID NO: 10642 (rice GOS2 longer Promoter) and SEQ ID NO: 10643 (rice GOS2 Promoter), de Pater et al, Plant J November; 2(6):837-44, 1992]; RBCS promoter (SEQ ID NO: 10655); Rice cyclophilin (Bucholz et al, Plant Mol Biol. 25(5):837-43, 1994); Maize H3 histone (Lepetit et al, Mol. Gen. Genet. 231: 276-285, 1992); Actin 2 (An et al, Plant J. 10(1); 107-121, 1996) and Synthetic Super MAS (Ni et al., The Plant Journal 7: 661-76, 1995). Other constitutive promoters include those in U.S. Pat. Nos. 5,659,026, 5,608,149; 5.608,144; 5,604,121; 5,569,597: 5,466,785; 5,399,680; 5,268,463; and 5,608,142.

Suitable tissue-specific promoters include, but not limited to, leaf-specific promoters [e.g., AT5G06690 (Thioredoxin) (high expression, SEQ ID NO: 10656), AT5G61520 (AtSTP3) (low expression, SEQ ID NO: 10657) described in Buttner et al 2000 Plant, Cell and Environment 23, 175-184, or the promoters described in Yamamoto et al., Plant J. 12:255-265, 1997; Kwon et al., Plant Physiol. 105:357-67, 1994; Yamamoto et al., Plant Cell Physiol. 35:773-778, 1994; Gotor et al., Plant J. 3:509-18, 1993; Orozco et al., Plant Mol. Biol. 23:1129-1138, 1993; and Matsuoka et al., Proc. Natl. Acad. Sci. USA 90:9586-9590, 1993; as well as Arabidopsis STP3 (AT5G61520) promoter (Buttner et al., Plant, Cell and Environment 23:175-184, 2000)], seed-preferred promoters [e.g., Napin (originated from Brassica napus which is characterized by a seed specific promoter activity; Stuitje A. R. et. al. Plant Biotechnology Journal 1 (4): 301-309; SEQ ID NO: 10658 (Brassica napus NAPIN Promoter) from seed specific genes (Simon, et al., Plant Mol. Biol. 5. 191, 1985; Scofield, et al., J. Biol. Chem. 262: 12202, 1987; Baszczynski, et al., Plant Mol. Biol. 14: 633, 1990), rice PG5a (SEQ ID NO: 10649; U.S. Pat. No. 7,700,835), early seed development Arabidopsis BAN (AT1G61720) (SEQ ID NO: 10659, US 2009/0031450 A1), late seed development Arabidopsis ABI3 (AT3G24650) (SEQ ID NO: 10660 (Arabidopsis ABI3 (AT3G24650) longer Promoter) or 10661 (Arabidopsis ABI3 (AT3G24650) Promoter)) (Ng et al., Plant Molecular Biology 54: 25-38, 2004), Brazil Nut albumin (Pearson′ et al., Plant Mol. Biol. 18: 235-245, 1992), legumin (Ellis, et al. Plant Mol. Biol. 10: 203-214, 1988), Glutelin (rice) (Takaiwa, et al., Mol. Gen. Genet. 208: 15-22, 1986; Takaiwa, et al., FEBS Letts. 221: 43-47, 1987), Zein (Matzke et al Plant Mol Biol, 143:323-32 1990), napA (Stalberg, et al, Planta 199: 515-519, 1996), Wheat SPA (SEQ ID NO: 10630; Albanietal, Plant Cell, 9: 171-184, 1997), sunflower oleosin (Cummins, et al., Plant Mol. Biol. 19: 873-876, 1992)], endosperm specific promoters [e.g., wheat LMW (SEQ ID NO: 10631 (Wheat LMW Longer Promoter), and SEQ ID NO: 10632 (Wheat LMW Promoter) and HMW glutenin-1 [(SEQ ID NO: 10633 (Wheat HMW glutenin-1 longer Promoter)); and SEQ ID NO: 10634 (Wheat HMW glutenin-1 Promoter), Thomas and Flavell, The Plant Cell 2:1171-1180, 1990; Mol Gen Genet 216:81-90, 1989; NAR 17:461-2), wheat alpha, beta and gamma gliadins (SEQ ID NO: 10635 (wheat alpha gliadin (B genome) promoter); SEQ ID NO: 10636 (wheat gamma gliadin promoter); EMBO 3:1409-15, 1984), Barley ltr1 promoter, barley B1, C, D hordein (Theor Appl Gen 98:1253-62, 1999; Plant J 4:343-55, 1993; Mol Gen Genet 250:750-60, 1996), Barley DOF (Mena et al, The Plant Journal, 116(1): 53-62, 1998), Biz2 (EP99106056.7), Barley SS2 (SEQ ID NO: 10648 (Barley SS2 Promoter); Guerin and Carbonero Plant Physiology 114: 1 55-62, 1997), wheat Tarp60 (Kovalchuk et al., Plant Mol Biol 71:81-98, 2009), barley D-hordein (D-Hor) and B-hordein (B-Hor) (Agnelo Furtado, Robert J. Henry and Alessandro Pellegrineschi (2009)], Synthetic promoter (Vicente-Carbajosa et al., Plant J. 13: 629-640, 1998), rice prolamin NRP33, rice -globulin Glb-1 (Wu et al, Plant Cell Physiology 39(8) 885-889, 1998), rice alpha-globulin REB/OHP-1 (Nakase et al. Plant Mol. Biol. 33: 513-S22, 1997), rice ADP-glucose PP (Trans Res 6:157-68, 1997), maize ESR gene family (Plant J 12:235-46, 1997), sorgum gamma-kafirin (PMB 32:1029-35, 1996)], embryo specific promoters [e.g., rice OSH1 (Sato et al, Proc. Natl. Acad. Sci. USA, 93: 8117-8122), KNOX (Postma-Haarsma et al, Plant Mol. Biol. 39:257-71, 1999), rice oleosin (Wu et at, J. Biochem., 123:386, 1998)], and flower-specific promoters [e.g., AtPRP4, chalene synthase (chsA) (Van der Meer, et al., Plant Mol. Biol. 15, 95-109, 1990), LAT52 (Twell et al Mol. Gen Genet. 217:240-245; 1989), Arabidopsis apetala—3 (Tilly et al., Development. 125:1647-57, 1998), Arabidopsis APETALA 1 (AT1G69120, AP1) (SEQ ID NO: 10662 (Arabidopsis (AT1G69120) APETALA 1)) (Hempel et al., Development 124:3845-3853, 1997)], and root promoters [e.g., the ROOTP promoter [SEQ ID NO: 10663]; rice ExpB5 (SEQ ID NO: 10646 (rice ExpB5 Promoter); or SEQ ID NO: 10645 (rice ExpB5 longer Promoter)) and barley ExpB1 promoter (SEQ ID NO: 10647) (Won et al. Mol. Cells 30: 369-376, 2010); arabidopsis ATTPS-CIN (AT3G25820) promoter (SEQ ID NO: 10664; Chen et al., Plant Phys 135:1956-66, 2004); arabidopsis Pho1 promoter (SEQ ID NO: 10644, Hamburger et al., Plant Cell. 14: 889-902, 2002), which is also slightly induced by stress].

Suitable abiotic stress-inducible promoters include, but not limited to, salt-inducible promoters such as RD29A (Yamaguchi-Shinozalei et al., Mol. Gen. Genet. 236:331-340, 1993); drought-inducible promoters such as maize rab17 gene promoter (Pla et. al., Plant Mol. Biol. 21:259-266, 1993), maize rab28 gene promoter (Busk et. al., Plant J. 11:1285-1295, 1997) and maize Ivr2 gene promoter (Pelleschi et. al., Plant Mol. Biol. 39:373-380, 1999); heat-inducible promoters such as heat tomato hsp80-promoter from tomato (U.S. Pat. No. 5,187,267).

The nucleic acid construct of some embodiments of the invention can further include an appropriate selectable marker and/or an origin of replication. According to some embodiments of the invention, the nucleic acid construct utilized is a shuttle vector, which can propagate both in E. coli (wherein the construct comprises an appropriate selectable marker and origin of replication) and be compatible with propagation in cells. The construct according to the present invention can be, for example, a plasmid, a bacmid, a phagemid, a cosmid, a phage, a virus or an artificial chromosome.

The nucleic acid construct of some embodiments of the invention can be utilized to stably or transiently transform plant cells. In stable transformation, the exogenous polynucleotide is integrated into the plant genome and as such it represents a stable and inherited trait. In transient transformation, the exogenous polynucleotide is expressed by the cell transformed but it is not integrated into the genome and as such it represents a transient trait.

There are various methods of introducing foreign genes into both monocotyledonous and dicotyledonous plants (Potrykus, I., Annu. Rev. Plant. Physiol., Plant. Mol. Biol. (1991) 42:205-225; Shimamoto et al., Nature (1989) 338:274-276).

The principle methods of causing stable integration of exogenous DNA into plant genomic DNA include two main approaches:

(i) Agrobacterium-mediated gene transfer: Klee et al. (1987) Annu. Rev. Plant Physiol. 38:467-486; Klee and Rogers in Cell Culture and Somatic Cell Genetics of Plants, Vol. 6, Molecular Biology of Plant Nuclear Genes, eds. Schell, J., and Vasil, L. K., Academic Publishers, San Diego, Calif. (1989) p. 2-25; Gatenby, in Plant Biotechnology, eds. Kung, S. and Arntzen, C. J., Butterworth Publishers, Boston, Mass. (1989) p. 93-112.

(ii) Direct DNA uptake: Paszkowski et al., in Cell Culture and Somatic Cell Genetics of Plants, Vol. 6, Molecular Biology of Plant Nuclear Genes eds. Schell, J., and Vasil, L. K., Academic Publishers, San Diego, Calif. (1989) p. 52-68; including methods for direct uptake of DNA into protoplasts, Toriyama, K. et al. (1988) Bio/Technology 6:1072-1074. DNA uptake induced by brief electric shock of plant cells: Zhang et al. Plant Cell Rep. (1988) 7:379-384. Fromm et al. Nature (1986) 319:791-793. DNA injection into plant cells or tissues by particle bombardment, Klein et al. Bio/Technology (1988) 6:559-563; McCabe et al. Bio/Technology (1988) 6:923-926; Sanford, Physiol. Plant. (1990) 79:206-209; by the use of micropipette systems: Neuhaus et al., Theor. Appl. Genet. (1987) 75:30-36; Neuhaus and Spangenberg, Physiol. Plant. (1990) 79:213-217; glass fibers or silicon carbide whisker transformation of cell cultures, embryos or callus tissue, U.S. Pat. No. 5,464,765 or by the direct incubation of DNA with germinating pollen, DeWet et al. in Experimental Manipulation of Ovule Tissue, eds. Chapman, G. P. and Mantell, S. H. and Daniels, W. Longman, London, (1985) p. 197-209; and Ohta, Proc. Natl. Acad. Sci. USA (1986) 83:715-719.

The Agrobacterium system includes the use of plasmid vectors that contain defined DNA segments that integrate into the plant genomic DNA. Methods of inoculation of the plant tissue vary depending upon the plant species and the Agrobacterium delivery system. A widely used approach is the leaf disc procedure which can be performed with any tissue explant that provides a good source for initiation of whole plant differentiation. See, e.g., Horsch et al. in Plant Molecular Biology Manual A5, Kluwer Academic Publishers, Dordrecht (1988) p. 1-9. A supplementary approach employs the Agrobacterium delivery system in combination with vacuum infiltration. The Agrobacterium system is especially viable in the creation of transgenic dicotyledonous plants.

There are various methods of direct DNA transfer into plant cells. In electroporation, the protoplasts are briefly exposed to a strong electric field. In microinjection, the DNA is mechanically injected directly into the cells using very small micropipettes. In microparticle bombardment, the DNA is adsorbed on microprojectiles such as magnesium sulfate crystals or tungsten particles, and the microprojectiles are physically accelerated into cells or plant tissues.

Following stable transformation plant propagation is exercised. The most common method of plant propagation is by seed. Regeneration by seed propagation, however, has the deficiency that due to heterozygosity there is a lack of uniformity in the crop, since seeds are produced by plants according to the genetic variances governed by Mendelian rules. Basically, each seed is genetically different and each will grow with its own specific traits. Therefore, it is preferred that the transformed plant be produced such that the regenerated plant has the identical traits and characteristics of the parent transgenic plant. Therefore, it is preferred that the transformed plant be regenerated by micropropagation which provides a rapid, consistent reproduction of the transformed plants.

Micropropagation is a process of growing new generation plants from a single piece of tissue that has been excised from a selected parent plant or cultivar. This process permits the mass reproduction of plants having the preferred tissue expressing the fusion protein. The new generation plants which are produced are genetically identical to, and have all of the characteristics of, the original plant. Micropropagation allows mass production of quality plant material in a short period of time and offers a rapid multiplication of selected cultivars in the preservation of the characteristics of the original transgenic or transformed plant. The advantages of cloning plants are the speed of plant multiplication and the quality and uniformity of plants produced.

Micropropagation is a multi-stage procedure that requires alteration of culture medium or growth conditions between stages. Thus, the micropropagation process involves four basic stages: Stage one, initial tissue culturing; stage two, tissue culture multiplication; stage three, differentiation and plant formation; and stage four, greenhouse culturing and hardening. During stage one, initial tissue culturing, the tissue culture is established and certified contaminant-free. During stage two, the initial tissue culture is multiplied until a sufficient number of tissue samples are produced from the seedlings to meet production goals. During stage three, the tissue samples grown in stage two are divided and grown into individual plantlets. At stage four, the transformed plantlets are transferred to a greenhouse for hardening where the plants' tolerance to light is gradually increased so that it can be grown in the natural environment.

According to some embodiments of the invention, the transgenic plants are generated by transient transformation of leaf cells, meristematic cells or the whole plant.

Transient transformation can be effected by any of the direct DNA transfer methods described above or by viral infection using modified plant viruses.

Viruses that have been shown to be useful for the transformation of plant hosts include CaMV, Tobacco mosaic virus (TMV), brome mosaic virus (BMV) and Bean Common Mosaic Virus (BV or BCMV). Transformation of plants using plant viruses is described in U.S. Pat. No. 4,855,237 (bean golden mosaic virus; BGV), EP-A 67,553 (TMV), Japanese Published Application No. 63-14693 (TMV), EPA 194,809 (BV), EPA 278,667 (BV); and Gluzman, Y. et al., Communications in Molecular Biology: Viral Vectors, Cold Spring Harbor Laboratory, New York, pp. 172-189 (1988). Pseudovirus particles for use in expressing foreign DNA in many hosts, including plants are described in WO 87/06261.

According to some embodiments of the invention, the virus used for transient transformations is avirulent and thus is incapable of causing severe symptoms such as reduced growth rate, mosaic, ring spots, leaf roll, yellowing, streaking, pox formation, tumor formation and pitting. A suitable avirulent virus may be a naturally occurring avirulent virus or an artificially attenuated virus. Virus attenuation may be effected by using methods well known in the art including, but not limited to, sub-lethal heating, chemical treatment or by directed mutagenesis techniques such as described, for example, by Kurihara and Watanabe (Molecular Plant Pathology 4:259-269, 2003), Gal-on et al. (1992), Atreya et al. (1992) and Huet et al. (1994).

Suitable virus strains can be obtained from available sources such as, for example, the American Type culture Collection (ATCC) or by isolation from infected plants. Isolation of viruses from infected plant tissues can be effected by techniques well known in the art such as described, for example by Foster and Taylor, Eds. “Plant Virology Protocols: From Virus Isolation to Transgenic Resistance (Methods in Molecular Biology (Humana Pr), Vol 81)”, Humana Press, 1998. Briefly, tissues of an infected plant believed to contain a high concentration of a suitable virus, preferably young leaves and flower petals, are ground in a buffer solution (e.g., phosphate buffer solution) to produce a virus infected sap which can be used in subsequent inoculations.

Construction of plant RNA viruses for the introduction and expression of non-viral exogenous polynucleotide sequences in plants is demonstrated by the above references as well as by Dawson, W. O. et al., Virology (1989) 172:285-292; Takamatsu et al. EMBO J. (1987) 6:307-311; French et al. Science (1986) 231:1294-1297; Takamatsu et al. FEBS Letters (1990) 269:73-76; and U.S. Pat. No. 5,316,931.

When the virus is a DNA virus, suitable modifications can be made to the virus itself. Alternatively, the virus can first be cloned into a bacterial plasmid for ease of constructing the desired viral vector with the foreign DNA. The virus can then be excised from the plasmid. If the virus is a DNA virus, a bacterial origin of replication can be attached to the viral DNA, which is then replicated by the bacteria. Transcription and translation of this DNA will produce the coat protein which will encapsidate the viral DNA. If the virus is an RNA virus, the virus is generally cloned as a cDNA and inserted into a plasmid. The plasmid is then used to make all of the constructions. The RNA virus is then produced by transcribing the viral sequence of the plasmid and translation of the viral genes to produce the coat protein(s) which encapsidate the viral RNA.

In one embodiment, a plant viral polynucleotide is provided in which the native coat protein coding sequence has been deleted from a viral polynucleotide, a non-native plant viral coat protein coding sequence and a non-native promoter, preferably the subgenomic promoter of the non-native coat protein coding sequence, capable of expression in the plant host, packaging of the recombinant plant viral polynucleotide, and ensuring a systemic infection of the host by the recombinant plant viral polynucleotide, has been inserted. Alternatively, the coat protein gene may be inactivated by insertion of the non-native polynucleotide sequence within it, such that a protein is produced. The recombinant plant viral polynucleotide may contain one or more additional non-native subgenomic promoters. Each non-native subgenomic promoter is capable of transcribing or expressing adjacent genes or polynucleotide sequences in the plant host and incapable of recombination with each other and with native subgenomic promoters. Non-native (foreign) polynucleotide sequences may be inserted adjacent the native plant viral subgenomic promoter or the native and a non-native plant viral subgenomic promoters if more than one polynucleotide sequence is included. The non-native polynucleotide sequences are transcribed or expressed in the host plant under control of the subgenomic promoter to produce the desired products.

In a second embodiment, a recombinant plant viral polynucleotide is provided as in the first embodiment except that the native coat protein coding sequence is placed adjacent one of the non-native coat protein subgenomic promoters instead of a non-native coat protein coding sequence.

In a third embodiment, a recombinant plant viral polynucleotide is provided in which the native coat protein gene is adjacent its subgenomic promoter and one or more non-native subgenomic promoters have been inserted into the viral polynucleotide. The inserted non-native subgenomic promoters are capable of transcribing or expressing adjacent genes in a plant host and are incapable of recombination with each other and with native subgenomic promoters. Non-native polynucleotide sequences may be inserted adjacent the non-native subgenomic plant viral promoters such that the sequences are transcribed or expressed in the host plant under control of the subgenomic promoters to produce the desired product.

In a fourth embodiment, a recombinant plant viral polynucleotide is provided as in the third embodiment except that the native coat protein coding sequence is replaced by a non-native coat protein coding sequence.

The viral vectors are encapsidated by the coat proteins encoded by the recombinant plant viral polynucleotide to produce a recombinant plant virus. The recombinant plant viral polynucleotide or recombinant plant virus is used to infect appropriate host plants. The recombinant plant viral polynucleotide is capable of replication in the host, systemic spread in the host, and transcription or expression of foreign gene(s) (exogenous polynucleotide) in the host to produce the desired protein.

Techniques for inoculation of viruses to plants may be found in Foster and Taylor, eds. “Plant Virology Protocols: From Virus Isolation to Transgenic Resistance (Methods in Molecular Biology (Humana Pr), Vol 81)”, Humana Press, 1998; Maramorosh and Koprowski, eds. “Methods in Virology” 7 vols, Academic Press, New York 1967-1984; Hill, S. A. “Methods in Plant Virology”, Blackwell, Oxford, 1984; Walkey, D. G. A. “Applied Plant Virology”, Wiley, New York, 1985; and Kado and Agrawa, eds. “Principles and Techniques in Plant Virology”, Van Nostrand-Reinhold, New York.

In addition to the above, the polynucleotide of the present invention can also be introduced into a chloroplast genome thereby enabling chloroplast expression.

A technique for introducing exogenous polynucleotide sequences to the genome of the chloroplasts is known. This technique involves the following procedures. First, plant cells are chemically treated so as to reduce the number of chloroplasts per cell to about one. Then, the exogenous polynucleotide is introduced via particle bombardment into the cells with the aim of introducing at least one exogenous polynucleotide molecule into the chloroplasts. The exogenous polynucleotides selected such that it is integratable into the chloroplast's genome via hom*ologous recombination which is readily effected by enzymes inherent to the chloroplast. To this end, the exogenous polynucleotide includes, in addition to a gene of interest, at least one polynucleotide stretch which is derived from the chloroplast's genome. In addition, the exogenous polynucleotide includes a selectable marker, which serves by sequential selection procedures to ascertain that all or substantially all of the copies of the chloroplast genomes following such selection will include the exogenous polynucleotide. Further details relating to this technique are found in U.S. Pat. Nos. 4,945,050; and 5,693,507 which are incorporated herein by reference. A polypeptide can thus be produced by the protein expression system of the chloroplast and become integrated into the chloroplast's inner membrane.

According to some embodiments, there is provided a method of improving nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, oil yield, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a grafted plant, the method comprising providing a scion that does not transgenically express a polynucleotide encoding a polypeptide at least 80% hom*ologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 552-773, 775-780, 782-786, 789-885, 887-897, 6029-7781, 7783-9818, 9820-9823, 9827-9828, 9840-9841, 9849, 9852-9854, 9856, 9858-9859, 9867, 9870, 9872, 9874-9875, 9881, 9883-9885, 9887, 9891, 9893, 9896, 9898-9902, 9904, 9906-9908, 9911, 9915, 9917, 9919, 9921-9922, 9924-9926, 9929, 9933-10585, 10589, 10593, 10599-10605, 10607-10628 and 10629 and a plant rootstock that transgenically expresses a polynucleotide encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% hom*ologous (or identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 552-633, 635-725, 727-773, 775-780, 782-786, 789-885, 887-889, 891-897, 6029-7467, 7481, 7487, 7498-7499, 7501-7503, 7512-7513, 7515, 7517, 7522, 7525, 7529, 7533-7534, 7539-7541, 7545, 7549, 7552, 7555-7556, 7558, 7563, 7576, 7579, 7588, 7590, 7592-7593, 7595, 7609-7612, 7614-7615, 7620, 7624, 7627, 7631, 7633, 7637, 7639, 7643-7644, 7647, 7649, 7651, 7653-7658, 7660, 7662, 7664, 7666, 7672-7673, 7677-7678, 7680-7681, 7683-7684, 7688-7690, 7692, 7694, 7699-7703, 7705-7706, 7709-7711, 7716-7719, 7721-7723, 7726-7732, 7736-7738, 7740-7742, 7745, 7747-7748, 7751, 7758, 7760-7762, 7765-7766, 7769, 7773, 7777-7781, 7783-7785, 7787-7789, 7791, 7795-7800, 7802-7811, 7813, 7815-8160, 8162, 8164-8853, 8855-9215, 9238-9749, 9751-9803, 9805-9818, 9828, 9935-9968, 9970-9971, 9973-10187, 10189, 10191-10585, 10600-10605, 10609-10628 and 10629 (e.g., in a constitutive, tissue specific or inducible, e.g., in an abiotic stress responsive manner), thereby improving the nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the grafted plant.

In some embodiments, the plant scion is non-transgenic.

Several embodiments relate to a grafted plant exhibiting improved nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance, comprising a scion that does not transgenically express a polynucleotide encoding a polypeptide at least 80% hom*ologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 552-773, 775-780, 782-786, 789-885, 887-897, 6029-7781, 7783-9818, 9820-9823, 9827-9828, 9840-9841, 9849, 9852-9854, 9856, 9858-9859, 9867, 9870, 9872, 9874-9875, 9881, 9883-9885, 9887, 9891, 9893, 9896, 9898-9902, 9904, 9906-9908, 9911, 9915, 9917, 9919, 9921-9922, 9924-9926, 9929, 9933-10585, 10589, 10593, 10599-10605, 10607-10628 and 10629 and a plant rootstock that transgenically expresses a polynucleotide encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% hom*ologous (or identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 552-633, 635-725, 727-773, 775-780, 782-786, 789-885, 887-889, 891-897, 6029-7467, 7481, 7487, 7498-7499, 7501-7503, 7512-7513, 7515, 7517, 7522, 7525, 7529, 7533-7534, 7539-7541, 7545, 7549, 7552, 7555-7556, 7558, 7563, 7576, 7579, 7588, 7590, 7592-7593, 7595, 7609-7612, 7614-7615, 7620, 7624, 7627, 7631, 7633, 7637, 7639, 7643-7644, 7647, 7649, 7651, 7653-7658, 7660, 7662, 7664, 7666, 7672-7673, 7677-7678, 7680-7681, 7683-7684, 7688-7690, 7692, 7694, 7699-7703, 7705-7706, 7709-7711, 7716-7719, 7721-7723, 7726-7732, 7736-7738, 7740-7742, 7745, 7747-7748, 7751, 7758, 7760-7762, 7765-7766, 7769, 7773, 7777-7781, 7783-7785, 7787-7789, 7791, 7795-7800, 7802-7811, 7813, 7815-8160, 8162, 8164-8853, 8855-9215, 9238-9749, 9751-9803, 9805-9818, 9828, 9935-9968, 9970-9971, 9973-10187, 10189, 10191-10585, 10600-10605, 10609-10628 and 10629.

In some embodiments, the plant root stock transgenically expresses a polynucleotide encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% hom*ologous (or identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 552-633, 635-725, 727-773, 775-780, 782-786, 789-885, 887-889, 891-897, 6029-7467, 7481, 7487, 7498-7499, 7501-7503, 7512-7513, 7515, 7517, 7522, 7525, 7529, 7533-7534, 7539-7541, 7545, 7549, 7552, 7555-7556, 7558, 7563, 7576, 7579, 7588, 7590, 7592-7593, 7595, 7609-7612, 7614-7615, 7620, 7624, 7627, 7631, 7633, 7637, 7639, 7643-7644, 7647, 7649, 7651, 7653-7658, 7660, 7662, 7664, 7666, 7672-7673, 7677-7678, 7680-7681, 7683-7684, 7688-7690, 7692, 7694, 7699-7703, 7705-7706, 7709-7711, 7716-7719, 7721-7723, 7726-7732, 7736-7738, 7740-7742, 7745, 7747-7748, 7751, 7758, 7760-7762, 7765-7766, 7769, 7773, 7777-7781, 7783-7785, 7787-7789, 7791, 7795-7800, 7802-7811, 7813, 7815-8160, 8162, 8164-8853, 8855-9215, 9238-9749, 9751-9803, 9805-9818, 9828, 9935-9968, 9970-9971, 9973-10187, 10189, 10191-10585, 10600-10605, 10609-10628 and 10629 in a stress responsive manner.

According to some embodiments of the invention, the plant root stock transgenically expresses a polynucleotide encoding a polypeptide selected from the group consisting of SEQ ID NOs: 552-773, 775-780, 782-786, 789-885, 887-897, 6029-7781, 7783-9818, 9820-9823, 9827-9828, 9840-9841, 9849, 9852-9854, 9856, 9858-9859, 9867, 9870, 9872, 9874-9875, 9881, 9883-9885, 9887, 9891, 9893, 9896, 9898-9902, 9904, 9906-9908, 9911, 9915, 9917, 9919, 9921-9922, 9924-9926, 9929, 9933-10585, 10589, 10593, 10599-10605, 10607-10628 and 10629.

According to some embodiments of the invention, the plant root stock transgenically expresses a polynucleotide comprising a nucleic acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the polynucleotide selected from the group consisting of SEQ ID NOs: 1-82, 84-174, 176-222, 224-229, 231-235, 238-302, 304-387, 389-473, 475-519, 521-526, 528-532, 535-551, 898-2468, 2485, 2492-2493, 2495, 2507-2508, 2510-2512, 2523-2524, 2526, 2528, 2533, 2537, 2541, 2545-2546, 2551-2553, 2557, 2564, 2567, 2573-2574, 2576-2577, 2583, 2594, 2599, 2602, 2611, 2613-2614, 2616-2617, 2619, 2635-2638, 2640-2642, 2648, 2652, 2655, 2660, 2662, 2666, 2668, 2673-2674, 2677, 2679, 2681, 2683-2688, 2691, 2693, 2695-2698, 2700, 2707-2708, 2713-2714, 2716-2717, 2719-2720, 2724-2726, 2728, 2730-2731, 2736-2742, 2744-2746, 2751-2753, 2757, 2759-2762, 2764-2766, 2769-2776, 2780-2783, 2785-2788, 2791, 2793-2795, 2798, 2805, 2807-2808, 2812, 2814-2815, 2818-2820, 2823, 2829, 2834-2838, 2840-2842, 2844-2846, 2848, 2852-2858, 2860-2872, 2874, 2876-3244, 3246, 3248-4015, 4017-4426, 4449-5012, 5015-5071, 5073-5090, 5101, 5255, 5267-5304, 5306-5307, 5309-5539, 5541, 5543-5976, 5994-5999, 6003-6027 and 6028.

According to some embodiments of the invention, the plant root stock transgenically expresses a polynucleotide selected from the group consisting of SEQ ID NOs: 1-551, 898-6027 and 6028.

Since processes which increase nitrogen use efficiency, fertilizer use efficiency, oil content, yield, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, growth rate, biomass, vigor and/or abiotic stress tolerance of a plant can involve multiple genes acting additively or in synergy (see, for example, in Quesda et al., Plant Physiol. 130:951-063, 2002), the present invention also envisages expressing a plurality of exogenous polynucleotides in a single host plant to thereby achieve superior effect on nitrogen use efficiency, fertilizer use efficiency, oil content, yield, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, growth rate, biomass, vigor and/or abiotic stress tolerance.

Expressing a plurality of exogenous polynucleotides in a single host plant can be effected by co-introducing multiple nucleic acid constructs, each including a different exogenous polynucleotide, into a single plant cell. The transformed cell can then be regenerated into a mature plant using the methods described hereinabove.

Alternatively, expressing a plurality of exogenous polynucleotides in a single host plant can be effected by co-introducing into a single plant-cell a single nucleic-acid construct including a plurality of different exogenous polynucleotides. Such a construct can be designed with a single promoter sequence which can transcribe a polycistronic messenger RNA including all the different exogenous polynucleotide sequences. To enable co-translation of the different polypeptides encoded by the polycistronic messenger RNA, the polynucleotide sequences can be inter-linked via an internal ribosome entry site (IRES) sequence which facilitates translation of polynucleotide sequences positioned downstream of the IRES sequence. In this case, a transcribed polycistronic RNA molecule encoding the different polypeptides described above will be translated from both the capped 5′ end and the two internal IRES sequences of the polycistronic RNA molecule to thereby produce in the cell all different polypeptides. Alternatively, the construct can include several promoter sequences each linked to a different exogenous polynucleotide sequence.

The plant cell transformed with the construct including a plurality of different exogenous polynucleotides, can be regenerated into a mature plant, using the methods described hereinabove.

Alternatively, expressing a plurality of exogenous polynucleotides in a single host plant can be effected by introducing different nucleic acid constructs, including different exogenous polynucleotides, into a plurality of plants. The regenerated transformed plants can then be cross-bred and resultant progeny selected for superior abiotic stress tolerance, water use efficiency, fertilizer use efficiency, growth, biomass, yield and/or vigor traits, using conventional plant breeding techniques.

According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under the abiotic stress.

Non-limiting examples of abiotic stress conditions include, salinity, osmotic stress, drought, water deprivation, excess of water (e.g., flood, waterlogging), etiolation, low temperature (e.g., cold stress), high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency (e.g., nitrogen deficiency or nitrogen limitation), nutrient excess, atmospheric pollution and UV irradiation.

According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under fertilizer limiting conditions (e.g., nitrogen-limiting conditions). Non-limiting examples include growing the plant on soils with low nitrogen content (40-50% Nitrogen of the content present under normal or optimal conditions), or even under sever nitrogen deficiency (0-10% Nitrogen of the content present under normal or optimal conditions), wherein the normal or optimal conditions include about 6-15 mM Nitrogen, e.g., 6-10 mM Nitrogen).

Thus, the invention encompasses plants exogenously expressing the polynucleotide(s), the nucleic acid constructs and/or polypeptide(s) of the invention.

Once expressed within the plant cell or the entire plant, the level of the polypeptide encoded by the exogenous polynucleotide can be determined by methods well known in the art such as, activity assays, Western blots using antibodies capable of specifically binding the polypeptide, Enzyme-Linked Immuno Sorbent Assay (ELISA), radio-immuno-assays (RIA), immunohistochemistry, immunocytochemistry, immunofluorescence and the like.

Methods of determining the level in the plant of the RNA transcribed from the exogenous polynucleotide are well known in the art and include, for example, Northern blot analysis, reverse transcription polymerase chain reaction (RT-PCR) analysis (including quantitative, semi-quantitative or real-time RT-PCR) and RNA-in situ hybridization.

The sequence information and annotations uncovered by the present teachings can be harnessed in favor of classical breeding. Thus, sub-sequence data of those polynucleotides described above, can be used as markers for marker assisted selection (MAS), in which a marker is used for indirect selection of a genetic determinant or determinants of a trait of interest (e.g., biomass, growth rate, oil content, yield, abiotic stress tolerance, water use efficiency, nitrogen use efficiency and/or fertilizer use efficiency). Nucleic acid data of the present teachings (DNA or RNA sequence) may contain or be linked to polymorphic sites or genetic markers on the genome such as restriction fragment length polymorphism (RFLP), microsatellites and single nucleotide polymorphism (SNP), DNA fingerprinting (DFP), amplified fragment length polymorphism (AFLP), expression level polymorphism, polymorphism of the encoded polypeptide and any other polymorphism at the DNA or RNA sequence.

Examples of marker assisted selections include, but are not limited to, selection for a morphological trait (e.g., a gene that affects form, coloration, male sterility or resistance such as the presence or absence of awn, leaf sheath coloration, height, grain color, aroma of rice); selection for a biochemical trait (e.g., a gene that encodes a protein that can be extracted and observed; for example, isozymes and storage proteins);

selection for a biological trait (e.g., pathogen races or insect biotypes based on host pathogen or host parasite interaction can be used as a marker since the genetic constitution of an organism can affect its susceptibility to pathogens or parasites).

The polynucleotides and polypeptides described hereinabove can be used in a wide range of economical plants, in a safe and cost effective manner.

Plant lines exogenously expressing the polynucleotide or the polypeptide of the invention are screened to identify those that show the greatest increase of the desired plant trait.

Thus, according to an additional embodiment of the present invention, there is provided a method of evaluating a trait of a plant, the method comprising: (a) expressing in a plant or a portion thereof the nucleic acid construct of some embodiments of the invention; and (b) evaluating a trait of a plant as compared to a wild type plant of the same type (e.g., a plant not transformed with the claimed biomolecules); thereby evaluating the trait of the plant.

According to an aspect of some embodiments of the invention there is provided a method of producing a crop comprising growing a crop of a plant expressing an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% hom*ologous (e.g., identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 552-633, 635-725, 727-773, 775-780, 782-786, 789-885, 887-889, 891-897, 6029-7467, 7481, 7487, 7498-7499, 7501-7503, 7512-7513, 7515, 7517, 7522, 7525, 7529, 7533-7534, 7539-7541, 7545, 7549, 7552, 7555-7556, 7558, 7563, 7576, 7579, 7588, 7590, 7592-7593, 7595, 7609-7612, 7614-7615, 7620, 7624, 7627, 7631, 7633, 7637, 7639, 7643-7644, 7647, 7649, 7651, 7653-7658, 7660, 7662, 7664, 7666, 7672-7673, 7677-7678, 7680-7681, 7683-7684, 7688-7690, 7692, 7694, 7699-7703, 7705-7706, 7709-7711, 7716-7719, 7721-7723, 7726-7732, 7736-7738, 7740-7742, 7745, 7747-7748, 7751, 7758, 7760-7762, 7765-7766, 7769, 7773, 7777-7781, 7783-7785, 7787-7789, 7791, 7795-7800, 7802-7811, 7813, 7815-8160, 8162, 8164-8853, 8855-9215, 9238-9749, 9751-9803, 9805-9818, 9828, 9935-9968, 9970-9971, 9973-10187, 10189, 10191-10585, 10600-10605, 10609-10628 and 10629, wherein the plant is derived from a plant (parent plant) that has been transformed to express the exogenous polynucleotide and that has been selected for increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a control plant, thereby producing the crop.

According to an aspect of some embodiments of the present invention there is provided a method of producing a crop comprising growing a crop plant transformed with an exogenous polynucleotide encoding a polypeptide at least 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% hom*ologous (e.g., identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 552-633, 635-725, 727-773, 775-780, 782-786, 789-885, 887-889, 891-897, 6029-7467, 7481, 7487, 7498-7499, 7501-7503, 7512-7513, 7515, 7517, 7522, 7525, 7529, 7533-7534, 7539-7541, 7545, 7549, 7552, 7555-7556, 7558, 7563, 7576, 7579, 7588, 7590, 7592-7593, 7595, 7609-7612, 7614-7615, 7620, 7624, 7627, 7631, 7633, 7637, 7639, 7643-7644, 7647, 7649, 7651, 7653-7658, 7660, 7662, 7664, 7666, 7672-7673, 7677-7678, 7680-7681, 7683-7684, 7688-7690, 7692, 7694, 7699-7703, 7705-7706, 7709-7711, 7716-7719, 7721-7723, 7726-7732, 7736-7738, 7740-7742, 7745, 7747-7748, 7751, 7758, 7760-7762, 7765-7766, 7769, 7773, 7777-7781, 7783-7785, 7787-7789, 7791, 7795-7800, 7802-7811, 7813, 7815-8160, 8162, 8164-8853, 8855-9215, 9238-9749, 9751-9803, 9805-9818, 9828, 9935-9968, 9970-9971, 9973-10187, 10189, 10191-10585, 10600-10605, 10609-10628 and 10629, wherein the crop plant is derived from plants which have been transformed with the exogenous polynucleotide and which have been selected for increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant having the increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency), thereby producing the crop.

According to some embodiments of the invention the polypeptide is selected from the group consisting of SEQ ID NOs: 552-773, 775-780, 782-786, 789-885, 887-897, 6029-7781, 7783-9818, 9820-9823, 9827-9828, 9840-9841, 9849, 9852-9854, 9856, 9858-9859, 9867, 9870, 9872, 9874-9875, 9881, 9883-9885, 9887, 9891, 9893, 9896, 9898-9902, 9904, 9906-9908, 9911, 9915, 9917, 9919, 9921-9922, 9924-9926, 9929, 9933-10585, 10589, 10593, 10599-10605, 10607-10628 and 10629.

According to an aspect of some embodiments of the invention there is provided a method of producing a crop comprising growing a crop of a plant expressing an exogenous polynucleotide which comprises a nucleic acid sequence which is at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-82, 84-174, 176-222, 224-229, 231-235, 238-302, 304-387, 389-473, 475-519, 521-526, 528-532, 535-551, 898-2468, 2485, 2492-2493, 2495, 2507-2508, 2510-2512, 2523-2524, 2526, 2528, 2533, 2537, 2541, 2545-2546, 2551-2553, 2557, 2564, 2567, 2573-2574, 2576-2577, 2583, 2594, 2599, 2602, 2611, 2613-2614, 2616-2617, 2619, 2635-2638, 2640-2642, 2648, 2652, 2655, 2660, 2662, 2666, 2668, 2673-2674, 2677, 2679, 2681, 2683-2688, 2691, 2693, 2695-2698, 2700, 2707-2708, 2713-2714, 2716-2717, 2719-2720, 2724-2726, 2728, 2730-2731, 2736-2742, 2744-2746, 2751-2753, 2757, 2759-2762, 2764-2766, 2769-2776, 2780-2783, 2785-2788, 2791, 2793-2795, 2798, 2805, 2807-2808, 2812, 2814-2815, 2818-2820, 2823, 2829, 2834-2838, 2840-2842, 2844-2846, 2848, 2852-2858, 2860-2872, 2874, 2876-3244, 3246, 3248-4015, 4017-4426, 4449-5012, 5015-5071, 5073-5090, 5101, 5255, 5267-5304, 5306-5307, 5309-5539, 5541, 5543-5976, 5994-5999, 6003-6027 and 6028, wherein the plant is derived from a plant selected for increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a control plant, thereby producing the crop.

According to an aspect of some embodiments of the present invention there is provided a method of producing a crop comprising growing a crop plant transformed with an exogenous polynucleotide at least 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-82, 84-174, 176-222, 224-229, 231-235, 238-302, 304-387, 389-473, 475-519, 521-526, 528-532, 535-551, 898-2468, 2485, 2492-2493, 2495, 2507-2508, 2510-2512, 2523-2524, 2526, 2528, 2533, 2537, 2541, 2545-2546, 2551-2553, 2557, 2564, 2567, 2573-2574, 2576-2577, 2583, 2594, 2599, 2602, 2611, 2613-2614, 2616-2617, 2619, 2635-2638, 2640-2642, 2648, 2652, 2655, 2660, 2662, 2666, 2668, 2673-2674, 2677, 2679, 2681, 2683-2688, 2691, 2693, 2695-2698, 2700, 2707-2708, 2713-2714, 2716-2717, 2719-2720, 2724-2726, 2728, 2730-2731, 2736-2742, 2744-2746, 2751-2753, 2757, 2759-2762, 2764-2766, 2769-2776, 2780-2783, 2785-2788, 2791, 2793-2795, 2798, 2805, 2807-2808, 2812, 2814-2815, 2818-2820, 2823, 2829, 2834-2838, 2840-2842, 2844-2846, 2848, 2852-2858, 2860-2872, 2874, 2876-3244, 3246, 3248-4015, 4017-4426, 4449-5012, 5015-5071, 5073-5090, 5101, 5255, 5267-5304, 5306-5307, 5309-5539, 5541, 5543-5976, 5994-5999, 6003-6027 and 6028, wherein the crop plant is derived from plants which have been transformed with the exogenous polynucleotide and which have been selected for increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant having the increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency), thereby producing the crop.

According to some embodiments of the invention the exogenous polynucleotide is selected from the group consisting of SEQ ID NOs: 1-551, 898-6027 and 6028.

According to an aspect of some embodiments of the invention there is provided a method of growing a crop comprising seeding seeds and/or planting plantlets of a plant transformed with the exogenous polynucleotide of the invention, e.g., the polynucleotide which encodes the polypeptide of some embodiments of the invention, wherein the plant is derived from plants which have been transformed with the exogenous polynucleotide and which have been selected for at least one trait selected from the group consisting of increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a non-transformed plant.

According to some embodiments of the invention the method of growing a crop comprising seeding seeds and/or planting plantlets of a plant transformed with an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to SEQ ID NO: 552-633, 635-725, 727-773, 775-780, 782-786, 789-885, 887-889, 891-897, 6029-7467, 7481, 7487, 7498-7499, 7501-7503, 7512-7513, 7515, 7517, 7522, 7525, 7529, 7533-7534, 7539-7541, 7545, 7549, 7552, 7555-7556, 7558, 7563, 7576, 7579, 7588, 7590, 7592-7593, 7595, 7609-7612, 7614-7615, 7620, 7624, 7627, 7631, 7633, 7637, 7639, 7643-7644, 7647, 7649, 7651, 7653-7658, 7660, 7662, 7664, 7666, 7672-7673, 7677-7678, 7680-7681, 7683-7684, 7688-7690, 7692, 7694, 7699-7703, 7705-7706, 7709-7711, 7716-7719, 7721-7723, 7726-7732, 7736-7738, 7740-7742, 7745, 7747-7748, 7751, 7758, 7760-7762, 7765-7766, 7769, 7773, 7777-7781, 7783-7785, 7787-7789, 7791, 7795-7800, 7802-7811, 7813, 7815-8160, 8162, 8164-8853, 8855-9215, 9238-9749, 9751-9803, 9805-9818, 9828, 9935-9968, 9970-9971, 9973-10187, 10189, 10191-10585, 10600-10605, 10609-10628 or 10629, wherein the plant is derived from plants which have been transformed with the exogenous polynucleotide and which have been selected for at least one trait selected from the group consisting of increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a non-transformed plant, thereby growing the crop.

According to some embodiments of the invention the polypeptide is selected from the group consisting of SEQ ID NOs: 552-773, 775-780, 782-786, 789-885, 887-897, 6029-7781, 7783-9818, 9820-9823, 9827-9828, 9840-9841, 9849, 9852-9854, 9856, 9858-9859, 9867, 9870, 9872, 9874-9875, 9881, 9883-9885, 9887, 9891, 9893, 9896, 9898-9902, 9904, 9906-9908, 9911, 9915, 9917, 9919, 9921-9922, 9924-9926, 9929, 9933-10585, 10589, 10593, 10599-10605, 10607-10628 and 10629.

According to some embodiments of the invention the method of growing a crop comprising seeding seeds and/or planting plantlets of a plant transformed with an exogenous polynucleotide comprising the nucleic acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to SEQ ID NO: 1-82, 84-174, 176-222, 224-229, 231-235, 238-302, 304-387, 389-473, 475-519, 521-526, 528-532, 535-551, 898-2468, 2485, 2492-2493, 2495, 2507-2508, 2510-2512, 2523-2524, 2526, 2528, 2533, 2537, 2541, 2545-2546, 2551-2553, 2557, 2564, 2567, 2573-2574, 2576-2577, 2583, 2594, 2599, 2602, 2611, 2613-2614, 2616-2617, 2619, 2635-2638, 2640-2642, 2648, 2652, 2655, 2660, 2662, 2666, 2668, 2673-2674, 2677, 2679, 2681, 2683-2688, 2691, 2693, 2695-2698, 2700, 2707-2708, 2713-2714, 2716-2717, 2719-2720, 2724-2726, 2728, 2730-2731, 2736-2742, 2744-2746, 2751-2753, 2757, 2759-2762, 2764-2766, 2769-2776, 2780-2783, 2785-2788, 2791, 2793-2795, 2798, 2805, 2807-2808, 2812, 2814-2815, 2818-2820, 2823, 2829, 2834-2838, 2840-2842, 2844-2846, 2848, 2852-2858, 2860-2872, 2874, 2876-3244, 3246, 3248-4015, 4017-4426, 4449-5012, 5015-5071, 5073-5090, 5101, 5255, 5267-5304, 5306-5307, 5309-5539, 5541, 5543-5976, 5994-5999, 6003-6027 and 6028, wherein the plant is derived from plants which have been transformed with the exogenous polynucleotide and which have been selected for at least one trait selected from the group consisting of increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a non-transformed plant, thereby growing the crop.

According to some embodiments of the invention the exogenous polynucleotide is selected from the group consisting of SEQ ID NOs: 1-551, 898-6027 and 6028.

According to an aspect of some embodiments of the present invention there is provided a method of growing a crop comprising:

(a) selecting a parent plant transformed with an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the polypeptide selected from the group consisting of SEQ ID NOs: 552-633, 635-725, 727-773, 775-780, 782-786, 789-885, 887-889, 891-897, 6029-7467, 7481, 7487, 7498-7499, 7501-7503, 7512-7513, 7515, 7517, 7522, 7525, 7529, 7533-7534, 7539-7541, 7545, 7549, 7552, 7555-7556, 7558, 7563, 7576, 7579, 7588, 7590, 7592-7593, 7595, 7609-7612, 7614-7615, 7620, 7624, 7627, 7631, 7633, 7637, 7639, 7643-7644, 7647, 7649, 7651, 7653-7658, 7660, 7662, 7664, 7666, 7672-7673, 7677-7678, 7680-7681, 7683-7684, 7688-7690, 7692, 7694, 7699-7703, 7705-7706, 7709-7711, 7716-7719, 7721-7723, 7726-7732, 7736-7738, 7740-7742, 7745, 7747-7748, 7751, 7758, 7760-7762, 7765-7766, 7769, 7773, 7777-7781, 7783-7785, 7787-7789, 7791, 7795-7800, 7802-7811, 7813, 7815-8160, 8162, 8164-8853, 8855-9215, 9238-9749, 9751-9803, 9805-9818, 9828, 9935-9968, 9970-9971, 9973-10187, 10189, 10191-10585, 10600-10605, 10609-10628 and 10629 for at least one trait selected from the group consisting of: increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, increased nitrogen use efficiency, and increased abiotic stress tolerance as compared to a non-transformed plant of the same species which is grown under the same growth conditions, and

(b) growing a progeny crop plant of the parent plant, wherein the progeny crop plant which comprises the exogenous polynucleotide has the increased yield, the increased growth rate, the increased biomass, the increased vigor, the increased oil content, the increased seed yield, the increased fiber yield, the increased fiber quality, the increased fiber length, the increased photosynthetic capacity, the increased nitrogen use efficiency, and/or the increased abiotic stress,

thereby growing the crop.

According to an aspect of some embodiments of the present invention there is provided a method of producing seeds of a crop comprising:

(a) selecting parent plant transformed with an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the polypeptide selected from the group consisting of SEQ ID NOs: 552-633, 635-725, 727-773, 775-780, 782-786, 789-885, 887-889, 891-897, 6029-7467, 7481, 7487, 7498-7499, 7501-7503, 7512-7513, 7515, 7517, 7522, 7525, 7529, 7533-7534, 7539-7541, 7545, 7549, 7552, 7555-7556, 7558, 7563, 7576, 7579, 7588, 7590, 7592-7593, 7595, 7609-7612, 7614-7615, 7620, 7624, 7627, 7631, 7633, 7637, 7639, 7643-7644, 7647, 7649, 7651, 7653-7658, 7660, 7662, 7664, 7666, 7672-7673, 7677-7678, 7680-7681, 7683-7684, 7688-7690, 7692, 7694, 7699-7703, 7705-7706, 7709-7711, 7716-7719, 7721-7723, 7726-7732, 7736-7738, 7740-7742, 7745, 7747-7748, 7751, 7758, 7760-7762, 7765-7766, 7769, 7773, 7777-7781, 7783-7785, 7787-7789, 7791, 7795-7800, 7802-7811, 7813, 7815-8160, 8162, 8164-8853, 8855-9215, 9238-9749, 9751-9803, 9805-9818, 9828, 9935-9968, 9970-9971, 9973-10187, 10189, 10191-10585, 10600-10605, 10609-10628 and 10629 for at least one trait selected from the group consisting of: increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, increased nitrogen use efficiency, and increased abiotic stress as compared to a non-transformed plant of the same species which is grown under the same growth conditions,

(b) growing a seed producing plant from the parent plant resultant of step (a), wherein the seed producing plant which comprises the exogenous polynucleotide having the increased yield, the increased growth rate, the increased biomass, the increased vigor, the increased oil content, the increased seed yield, the increased fiber yield, the increased fiber quality, the increased fiber length, the increased photosynthetic capacity, the increased nitrogen use efficiency, and/or the increased abiotic stress, and

(c) producing seeds from the seed producing plant resultant of step (b),

thereby producing seeds of the crop.

According to some embodiments of the invention, the seeds produced from the seed producing plant comprise the exogenous polynucleotide.

According to an aspect of some embodiments of the present invention there is provided a method of growing a crop comprising:

(a) selecting a parent plant transformed with an exogenous polynucleotide comprising a nucleic acid sequence encoding the polypeptide selected from the group consisting of set forth in SEQ ID NOs: 552-773, 775-780, 782-786, 789-885, 887-897, 6029-7781, 7783-9818, 9820-9823, 9827-9828, 9840-9841, 9849, 9852-9854, 9856, 9858-9859, 9867, 9870, 9872, 9874-9875, 9881, 9883-9885, 9887, 9891, 9893, 9896, 9898-9902, 9904, 9906-9908, 9911, 9915, 9917, 9919, 9921-9922, 9924-9926, 9929, 9933-10585, 10589, 10593, 10599-10605, 10607-10628 and 10629, for at least one trait selected from the group consisting of: increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, increased nitrogen use efficiency, and increased abiotic stress tolerance as compared to a non-transformed plant of the same species which is grown under the same growth conditions, and

(b) growing progeny crop plant of the parent plant, wherein the progeny crop plant which comprises the exogenous polynucleotide has the increased yield, the increased growth rate, the increased biomass, the increased vigor, the increased oil content, the increased seed yield, the increased fiber yield, the increased fiber quality, the increased fiber length, the increased photosynthetic capacity, the increased nitrogen use efficiency, and/or the increased abiotic stress,

thereby growing the crop.

According to an aspect of some embodiments of the present invention there is provided a method of producing seeds of a crop comprising:

(a) selecting parent plant transformed with an exogenous polynucleotide comprising a nucleic acid sequence encoding the polypeptide selected from the group consisting of set forth in SEQ ID NOs: 552-773, 775-780, 782-786, 789-885, 887-897, 6029-7781, 7783-9818, 9820-9823, 9827-9828, 9840-9841, 9849, 9852-9854, 9856, 9858-9859, 9867, 9870, 9872, 9874-9875, 9881, 9883-9885, 9887, 9891, 9893, 9896, 9898-9902, 9904, 9906-9908, 9911, 9915, 9917, 9919, 9921-9922, 9924-9926, 9929, 9933-10585, 10589, 10593, 10599-10605, 10607-10628 and 10629 for at least one trait selected from the group consisting of: increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, increased nitrogen use efficiency, and increased abiotic stress as compared to a non-transformed plant of the same species which is grown under the same growth conditions,

(b) growing a seed producing plant from the parent plant resultant of step (a), wherein the seed producing plant which comprises the exogenous polynucleotide having the increased yield, the increased growth rate, the increased biomass, the increased vigor, the increased oil content, the increased seed yield, the increased fiber yield, the increased fiber quality, the increased fiber length, the increased photosynthetic capacity, the increased nitrogen use efficiency, and/or the increased abiotic stress, and

(c) producing seeds from the seed producing plant resultant of step (b),

thereby producing seeds of the crop.

According to some embodiments of the invention the exogenous polynucleotide is selected from the group consisting of SEQ ID NOs: 1-551, 898-6027 and 6028.

The effect of the transgene (the exogenous polynucleotide encoding the polypeptide) on abiotic stress tolerance can be determined using known methods such as detailed below and in the Examples section which follows.

Abiotic stress tolerance—Transformed (i.e., expressing the transgene) and non-transformed (wild type) plants are exposed to an abiotic stress condition, such as water deprivation, suboptimal temperature (low temperature, high temperature), nutrient deficiency (e.g., nitrogen deficiency or limiting nitrogen conditions), nutrient excess, a salt stress condition, osmotic stress, heavy metal toxicity, anaerobiosis, atmospheric pollution and UV irradiation.

Salinity tolerance assay—Transgenic plants with tolerance to high salt concentrations are expected to exhibit better germination, seedling vigor or growth in high salt. Salt stress can be effected in many ways such as, for example, by irrigating the plants with a hyperosmotic solution, by cultivating the plants hydroponically in a hyperosmotic growth solution (e.g., Hoagland solution), or by culturing the plants in a hyperosmotic growth medium [e.g., 50% Murashige-Skoog medium (MS medium)]. Since different plants vary considerably in their tolerance to salinity, the salt concentration in the irrigation water, growth solution, or growth medium can be adjusted according to the specific characteristics of the specific plant cultivar or variety, so as to inflict a mild or moderate effect on the physiology and/or morphology of the plants (for guidelines as to appropriate concentration see, Bernstein and Kafkafi, Root Growth Under Salinity Stress In: Plant Roots, The Hidden Half 3rd ed. Waisel Y, Eshel A and Kafkafi U. (editors) Marcel Dekker Inc., New York, 2002, and reference therein).

For example, a salinity tolerance test can be performed by irrigating plants at different developmental stages with increasing concentrations of sodium chloride (for example 50 mM, 100 mM, 200 mM, 400 mM NaCl) applied from the bottom and from above to ensure even dispersal of salt. Following exposure to the stress condition the plants are frequently monitored until substantial physiological and/or morphological effects appear in wild type plants. Thus, the external phenotypic appearance, degree of wilting and overall success to reach maturity and yield progeny are compared between control and transgenic plants.

Quantitative parameters of tolerance measured include, but are not limited to, the average wet and dry weight, growth rate, leaf size, leaf coverage (overall leaf area), the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Transformed plants not exhibiting substantial physiological and/or morphological effects, or exhibiting higher biomass than wild-type plants, are identified as abiotic stress tolerant plants.

Osmotic tolerance test—Osmotic stress assays (including sodium chloride and mannitol assays) are conducted to determine if an osmotic stress phenotype was sodium chloride-specific or if it was a general osmotic stress related phenotype. Plants which are tolerant to osmotic stress may have more tolerance to drought and/or freezing. For salt and osmotic stress germination experiments, the medium is supplemented for example with 50 mM, 100 mM, 200 mM NaCl or 100 mM, 200 mM NaCl, 400 mM mannitol.

Drought tolerance assay/Osmoticum assay—Tolerance to drought is performed to identify the genes conferring better plant survival after acute water deprivation. To analyze whether the transgenic plants are more tolerant to drought, an osmotic stress produced by the non-ionic osmolyte sorbitol in the medium can be performed. Control and transgenic plants are germinated and grown in plant-agar plates for 4 days, after which they are transferred to plates containing 500 mM sorbitol. The treatment causes growth retardation, then both control and transgenic plants are compared, by measuring plant weight (wet and dry), yield, and by growth rates measured as time to flowering.

Conversely, soil-based drought screens are performed with plants overexpressing the polynucleotides detailed above. Seeds from control Arabidopsis plants, or other transgenic plants overexpressing the polypeptide of the invention are germinated and transferred to pots. Drought stress is obtained after irrigation is ceased accompanied by placing the pots on absorbent paper to enhance the soil-drying rate. Transgenic and control plants are compared to each other when the majority of the control plants develop severe wilting. Plants are re-watered after obtaining a significant fraction of the control plants displaying a severe wilting. Plants are ranked comparing to controls for each of two criteria: tolerance to the drought conditions and recovery (survival) following re-watering. Additional drought assays are described in the Examples section which follows (e.g., Examples 29 and 30 below).

Cold stress tolerance—To analyze cold stress, mature (25 day old) plants are transferred to 4° C. chambers for 1 or 2 weeks, with constitutive light. Later on plants are moved back to greenhouse. Two weeks later damages from chilling period, resulting in growth retardation and other phenotypes, are compared between both control and transgenic plants, by measuring plant weight (wet and dry), and by comparing growth rates measured as time to flowering, plant size, yield, and the like.

Heat stress tolerance—Heat stress tolerance is achieved by exposing the plants to temperatures above 34° C. for a certain period. Plant tolerance is examined after transferring the plants back to 22° C. for recovery and evaluation after 5 days relative to internal controls (non-transgenic plants) or plants not exposed to neither cold or heat stress.

Water use efficiency—can be determined as the biomass produced per unit transpiration. To analyze WUE, leaf relative water content can be measured in control and transgenic plants. Fresh weight (FW) is immediately recorded; then leaves are soaked for 8 hours in distilled water at room temperature in the dark, and the turgid weight (TW) is recorded. Total dry weight (DW) is recorded after drying the leaves at 60° C. to a constant weight. Relative water content (RWC) is calculated according to the following Formula I:
RWC=[(FW−DW)/(TW−DW)]×100  Formula I

Fertilizer use efficiency—To analyze whether the transgenic plants are more responsive to fertilizers, plants are grown in agar plates or pots with a limited amount of fertilizer, as described, for example, in Yanagisawa et al (Proc Natl Acad Sci USA. 2004; 101:7833-8). The plants are analyzed for their overall size, time to flowering, yield, protein content of shoot and/or grain. The parameters checked are the overall size of the mature plant, its wet and dry weight, the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Other parameters that may be tested are: the chlorophyll content of leaves (as nitrogen plant status and the degree of leaf verdure is highly correlated), amino acid and the total protein content of the seeds or other plant parts such as leaves or shoots, oil content, etc. Similarly, instead of providing nitrogen at limiting amounts, phosphate or potassium can be added at increasing concentrations. Again, the same parameters measured are the same as listed above. In this way, nitrogen use efficiency (NUE), phosphate use efficiency (PUE) and potassium use efficiency (KUE) are assessed, checking the ability of the transgenic plants to thrive under nutrient restraining conditions.

Nitrogen use efficiency—To analyze whether the transgenic plants (e.g., Arabidopsis plants) are more responsive to nitrogen, plant are grown in 0.75-3 mM (nitrogen deficient conditions) or 6-10 mM (optimal nitrogen concentration). Plants are allowed to grow for additional 25 days or until seed production. The plants are then analyzed for their overall size, time to flowering, yield, protein content of shoot and/or grain/seed production. The parameters checked can be the overall size of the plant, wet and dry weight, the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Other parameters that may be tested are: the chlorophyll content of leaves (as nitrogen plant status and the degree of leaf greenness is highly correlated), amino acid and the total protein content of the seeds or other plant parts such as leaves or shoots and oil content. Transformed plants not exhibiting substantial physiological and/or morphological effects, or exhibiting higher measured parameters levels than wild-type plants, are identified as nitrogen use efficient plants.

Nitrogen limiting conditions and Nitrogen Use efficiency assay using plantlets—The assay is done according to Yanagisawa-S. et al. with minor modifications (“Metabolic engineering with Dof1 transcription factor in plants: Improved nitrogen assimilation and growth under low-nitrogen conditions” Proc. Natl. Acad. Sci. USA 101, 7833-7838). Briefly, transgenic plants which are grown for 7-10 days in 0.5×MS [Murashige-Skoog] supplemented with a selection agent are transferred to two nitrogen-limiting conditions: MS media in which the combined nitrogen concentration (NH4NO3 and KNO3) was 0.75 mM (nitrogen deficient conditions) or 6-15 mM (optimal nitrogen concentration). Plants are allowed to grow for additional 30-40 days and then photographed, individually removed from the Agar (the shoot without the roots) and immediately weighed (fresh weight) for later statistical analysis. Constructs for which only T1 seeds are available are sown on selective media and at least 20 seedlings (each one representing an independent transformation event) are carefully transferred to the nitrogen-limiting media. For constructs for which T2 seeds are available, different transformation events are analyzed. Usually, 20 randomly selected plants from each event are transferred to the nitrogen-limiting media allowed to grow for 3-4 additional weeks and individually weighed at the end of that period. Transgenic plants are compared to control plants grown in parallel under the same conditions. Mock-transgenic plants expressing the uidA reporter gene (GUS) under the same promoter or transgenic plants carrying the same promoter but lacking a reporter gene are used as control. Additional assays for measuring tolerance to nitrogen limiting (deficient) conditions are described in Examples 29-32 in the Examples section which follows).

Nitrogen determination—The procedure for N (nitrogen) concentration determination in the structural parts of the plants involves the potassium persulfate digestion method to convert organic N to NO3 (Purcell and King 1996 Argon. J. 88:111-113, the modified Cd mediated reduction of NO3 to NO2 (Vodovotz 1996 Biotechniques 20:390-394) and the measurement of nitrite by the Griess assay (Vodovotz 1996, supra). The absorbance values are measured at 550 nm against a standard curve of NaNO2. The procedure is described in details in Samonte et al. 2006 Agron. J. 98:168-176.

Germination tests—Germination tests compare the percentage of seeds from transgenic plants that could complete the germination process to the percentage of seeds from control plants that are treated in the same manner. Normal conditions are considered for example, incubations at 22° C. under 22-hour light 2-hour dark daily cycles. Evaluation of germination and seedling vigor is conducted between 4 and 14 days after planting. The basal media is 50% MS medium (Murashige and Skoog, 1962 Plant Physiology 15, 473-497).

Germination is checked also at unfavorable conditions such as cold (incubating at temperatures lower than 10° C. instead of 22° C.) or using seed inhibition solutions that contain high concentrations of an osmolyte such as sorbitol (at concentrations of 50 mM, 100 mM, 200 mM, 300 mM, 500 mM, and up to 1000 mM) or applying increasing concentrations of salt (of 50 mM, 100 mM, 200 mM, 300 mM, 500 mM NaCl).

The effect of the transgene on plant's vigor, growth rate, biomass, yield and/or oil content can be determined using known methods.

Plant vigor—The plant vigor can be calculated by the increase in growth parameters such as leaf area, fiber length, rosette diameter, plant fresh weight and the like per time.

Growth rate—The growth rate can be measured using digital analysis of growing plants. For example, images of plants growing in greenhouse on plot basis can be captured every 3 days and the rosette area can be calculated by digital analysis. Rosette area growth is calculated using the difference of rosette area between days of sampling divided by the difference in days between samples.

It should be noted that an increase in rosette parameters such as rosette area, rosette diameter and/or rosette growth rate in a plant model such as Arabidopsis predicts an increase in canopy coverage and/or plot coverage in a target plant such as Brassica sp., soy, corn, wheat, Barley, oat, cotton, rice, tomato, sugar beet, and vegetables such as lettuce.

Evaluation of growth rate can be done by measuring plant biomass produced, rosette area, leaf size or root length per time (can be measured in cm2 per day of leaf area).

Relative growth area can be calculated using Formula II.
Relative growth rate area=Regression coefficient of area along time course  Formula II:

Thus, the relative growth area rate is in units of area units (e.g., mm2/day or cm2/day) and the relative length growth rate is in units of length units (e.g., cm/day or mm/day).

For example, RGR can be determined for plant height (Formula III), SPAD (Formula IV), Number of tillers (Formula V), root length (Formula VI), vegetative growth (Formula VII), leaf number (Formula VIII), rosette area (Formula IX), rosette diameter (Formula X), plot coverage (Formula XI), leaf blade area (Formula XII), and leaf area (Formula XIII)
Relative growth rate of Plant height=Regression coefficient of Plant height along time course (measured in cm/day).  Formula III:
Relative growth rate of SPAD=Regression coefficient of SPAD measurements along time course.  Formula IV:
Relative growth rate of Number of tillers=Regression coefficient of Number of tillers along time course (measured in units of “number of tillers/day”).  Formula V:
Relative growth rate of root length=Regression coefficient of root length along time course (measured in cm per day).  Formula VI:

Vegetative growth rate analysis—was calculated according to Formula VII below.
Relative growth rate of vegetative growth=Regression coefficient of vegetative dry weight along time course (measured in grams per day).  Formula VII:
Relative growth rate of leaf number=Regression coefficient of leaf number along time course (measured in number per day).  Formula VIII:
Relative growth rate of rosette area=Regression coefficient of rosette area along time course (measured in cm2 per day).  Formula IX:
Relative growth rate of rosette diameter=Regression coefficient of rosette diameter along time course (measured in cm per day).  Formula X:
Relative growth rate of plot coverage=Regression coefficient of plot (measured in cm2 per day).  Formula XI:
Relative growth rate of leaf blade area=Regression coefficient of leaf area along time course (measured in cm2 per day).  Formula XII:
Relative growth rate of leaf area=Regression coefficient of leaf area along time course (measured in cm2 per day).  Formula XIII:
1000 Seed Weight=number of seed in sample/sample weight×1000  Formula XIV:

The Harvest Index can be calculated using Formulas XV, XVI, XVII, XVIII and LXV below.
Harvest Index (seed)=Average seed yield per plant/Average dry weight.  Formula XV:
Harvest Index (Sorghum)=Average grain dry weight per Head/(Average vegetative dry weight per Head+Average Head dry weight)  Formula XVI:
Harvest Index (Maize)=Average grain weight per plant/(Average vegetative dry weight per plant plus Average grain weight per plant)  Formula XVII:

Harvest Index (for barley)—The harvest index is calculated using Formula XVIII.
Harvest Index (for barley and wheat)=Average spike dry weight per plant/(Average vegetative dry weight per plant+Average spike dry weight per plant)  Formula XVIII:

Following is a non-limited list of additional parameters which can be detected in order to show the effect of the transgene on the desired plant's traits:
Grain circularity=4×3.14 (grain area/perimeter2)  Formula XIX:
Internode volume=3.14×(d/2)2×1  Formula XX:
Total dry matter (kg)=Normalized head weight per plant+vegetative dry weight.  Formula XXI:
Root/Shoot Ratio=total weight of the root at harvest/total weight of the vegetative portion above ground at harvest. (=RBiH/BiH)  Formula XXII:
Ratio of the number of pods per node on main stem at pod set=Total number of pods on main stem/Total number of nodes on main stem.  Formula XXIII:
Ratio of total number of seeds in main stem to number of seeds on lateral branches=Total number of seeds on main stem at pod set/Total number of seeds on lateral branches at pod set.  Formula XXIV:
Petiole Relative Area=(Petiole area)/Rosette area (measured in %).  Formula XXV:
percentage of reproductive tiller=Number of Reproductive tillers/number of tillers)×100.  Formula XXVI:
Spikes Index=Average Spikes weight per plant/(Average vegetative dry weight per plant plus Average Spikes weight per plant).  Formula XXVII:
Relative growth rate of root coverage=Regression coefficient of root coverage along time course.  Formula XXVIII:
Seed Oil yield=Seed yield per plant (gr.)*Oil % in seed.  Formula XXIX:
shoot/root Ratio=total weight of the vegetative portion above ground at harvest/total weight of the root at harvest.  Formula XXX:
Spikelets Index=Average Spikelets weight per plant/(Average vegetative dry weight per plant plus Average Spikelets weight per plant).  Formula XXXI:
% Canopy coverage=(1−(PAR_DOWN/PAR_UP))×100 measured using AccuPAR Ceptometer Model LP-80.  Formula XXXII:
leaf mass fraction=Leaf area/shoot FW.  Formula XXXIII:
Relative growth rate based on dry weight=Regression coefficient of dry weight along time course.  Formula XXXIV:
Dry matter partitioning (ratio)—At the end of the growing period 6 plants heads as well as the rest of the plot heads were collected, threshed and grains were weighted to obtain grains yield per plot. Dry matter partitioning was calculated by dividing grains yield per plot to vegetative dry weight per plot.  Formula XXXV:
1000 grain weight filling rate (gr/day)—The rate of grain filling was calculated by dividing 1000 grain weight by grain fill duration.  Formula XXXVI:
Specific leaf area (cm2/gr)—Leaves were scanned to obtain leaf area per plant, and then were dried in an oven to obtain the leaves dry weight. Specific leaf area was calculated by dividing the leaf area by leaf dry weight.  Formula XXXVII:
Vegetative dry weight per plant at flowering/water until flowering (gr/lit)—Calculated by dividing vegetative dry weight (excluding roots and reproductive organs) per plant at flowering by the water used for irrigation up to flowering  Formula XXXVIII:
Yield filling rate (gr/day)—The rate of grain filling was calculated by dividing grains Yield by grain fill duration.  Formula XXXIX:
Yield per dunam/water until tan (kg/lit)—Calculated by dividing Grains yield per dunam by water used for irrigation until tan.  Formula XXXX:
Yield per plant/water until tan (gr/lit)—Calculated by dividing Grains yield per plant by water used for irrigation until tan  Formula XXXXI:
Yield per dunam/water until maturity (gr/lit)—Calculated by dividing grains yield per dunam by the water used for irrigation up to maturity. “Lit”=Liter.  Formula XXXXII:
Vegetative dry weight per plant/water until maturity (gr/lit): Calculated by dividing vegetative dry weight per plant (excluding roots and reproductive organs) at harvest by the water used for irrigation up to maturity.  Formula XXXXIII:
Total dry matter per plant/water until maturity (gr/lit): Calculated by dividing total dry matter at harvest (vegetative and reproductive, excluding roots) per plant by the water used for irrigation up to maturity.  Formula XXXXIV:
Total dry matter per plant/water until flowering (gr/lit): Calculated by dividing total dry matter at flowering (vegetative and reproductive, excluding roots) per plant by the water used for irrigation up to flowering.  Formula XXXXV:
Heads index (ratio): Average heads weight/(Average vegetative dry weight per plant plus Average heads weight per plant).  Formula XXXXVI:
Yield/SPAD (kg/SPAD units)—Calculated by dividing grains yield by average SPAD measurements per plot.  Formula XXXXVH:
Stem water content (percentage)—stems were collected and fresh weight (FW) was weighted. Then the stems were oven dry and dry weight (DW) was recorded. Stems dry weight was divided by stems fresh weight, subtracted from 1 and multiplied by 100.  Formula XXXXVIII:
Leaf water content (percentage)—Leaves were collected and fresh weight (FW) was weighted. Then the leaves were oven dry and dry weight (DW) was recorded. Leaves dry weight was divided by leaves fresh weight, subtracted from 1 and multiplied by 100.  Formula XXXXIX:
stem volume (cm3)—The average stem volume was calculated by multiplying the average stem length by (3.14*((mean lower and upper stem width)/2){circumflex over ( )}2).  Formula L:
NUE—is the ratio between total grain yield per total nitrogen (applied+content) in soil.  Formula LI:
NUpE—Is the ratio between total plant N content per total N (applied+content) in soil.  Formula LII:
Total NUtE—Is the ratio between total dry matter per N content of total dry matter.  Formula LIII:
Stem density—is the ratio between internode dry weight and internode volume.  Formula LIV:
Grain NUtE—Is the ratio between grain yield per N content of total dry matter  Formula LV:
N harvest index (Ratio)—Is the ratio between nitrogen content in grain per plant and the nitrogen of whole plant at harvest.  Formula LVI:
Biomass production efficiency—is the ratio between plant biomass and total shoot N.  Formula LVH:
Harvest index (plot) (ratio)—Average seed yield per plot/Average dry weight per plot.  Formula LVIII:
Relative growth rate of petiole relative area—Regression coefficient of petiole relative area along time course (measured in cm2 per day).  Formula LIX:
Yield per spike filling rate (gr/day)—spike filling rate was calculated by dividing grains yield per spike to grain fill duration.  Formula LX:
Yield per micro plots filling rate (gr/day)—micro plots filling rate was calculated by dividing grains yield per micro plots to grain fill duration.  Formula LXI:
Grains yield per hectare [ton/ha]—all spikes per plot were harvested threshed and grains were weighted after sun dry. The resulting value was divided by the number of square meters and multiplied by 10,000 (10,000 square meters=1 hectare).  Formula LXII:
Total dry matter (for Maize)=Normalized ear weight per plant+vegetative dry weight.  Formula LXIII:

Formula LXIV::

Agronomical N U E = Yield per plant ( Kg . ) X Nitrogen Fertilization - Yield per plant ( Kg . ) 0 % Nitrogen Fertilization Fertilizer X

Harvest Index (brachypodium)=Average grain weight/average dry (vegetative+spikelet) weight per plant.  Formula LXV:
Harvest Index for Sorghum* (* when the plants were not dried)=FW (fresh weight) Heads/(FW Heads+FW Plants)  Formula LXVI:

Grain protein concentration—Grain protein content (g grain protein m−2) is estimated as the product of the mass of grain N (g grain N m−2) multiplied by the N/protein conversion ratio of k-5.13 (Mosse 1990, supra). The grain protein concentration is estimated as the ratio of grain protein content per unit mass of the grain (g grain protein kg−1 grain).

Fiber length—Fiber length can be measured using fibrograph. The fibrograph system was used to compute length in terms of “Upper Half Mean” length. The upper half mean (UHM) is the average length of longer half of the fiber distribution. The fibrograph measures length in span lengths at a given percentage point (cottoninc (dot) com/ClassificationofCotton/?Pg=4#Length).

According to some embodiments of the invention, increased yield of corn may be manifested as one or more of the following: increase in the number of plants per growing area, increase in the number of ears per plant, increase in the number of rows per ear, number of kernels per ear row, kernel weight, thousand kernel weight (1000-weight), ear length/diameter, increase oil content per kernel and increase starch content per kernel.

As mentioned, the increase of plant yield can be determined by various parameters. For example, increased yield of rice may be manifested by an increase in one or more of the following: number of plants per growing area, number of panicles per plant, number of spikelets per panicle, number of flowers per panicle, increase in the seed filling rate, increase in thousand kernel weight (1000-weight), increase oil content per seed, increase starch content per seed, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.

Similarly, increased yield of soybean may be manifested by an increase in one or more of the following: number of plants per growing area, number of pods per plant, number of seeds per pod, increase in the seed filling rate, increase in thousand seed weight (1000-weight), reduce pod shattering, increase oil content per seed, increase protein content per seed, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.

Increased yield of canola may be manifested by an increase in one or more of the following: number of plants per growing area, number of pods per plant, number of seeds per pod, increase in the seed filling rate, increase in thousand seed weight (1000-weight), reduce pod shattering, increase oil content per seed, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.

Increased yield of cotton may be manifested by an increase in one or more of the following: number of plants per growing area, number of bolls per plant, number of seeds per boll, increase in the seed filling rate, increase in thousand seed weight (1000-weight), increase oil content per seed, improve fiber length, fiber strength, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.

Oil content—The oil content of a plant can be determined by extraction of the oil from the seed or the vegetative portion of the plant. Briefly, lipids (oil) can be removed from the plant (e.g., seed) by grinding the plant tissue in the presence of specific solvents (e.g., hexane or petroleum ether) and extracting the oil in a continuous extractor. Indirect oil content analysis can be carried out using various known methods such as Nuclear Magnetic Resonance (NMR) Spectroscopy, which measures the resonance energy absorbed by hydrogen atoms in the liquid state of the sample [See for example, Conway TF. and Earle FR., 1963, Journal of the American Oil Chemists' Society; Springer Berlin/Heidelberg, ISSN: 0003-021X (Print) 1558-9331 (Online)]; the Near Infrared (NI) Spectroscopy, which utilizes the absorption of near infrared energy (1100-2500 nm) by the sample; and a method described in WO/2001/023884, which is based on extracting oil a solvent, evaporating the solvent in a gas stream which forms oil particles, and directing a light into the gas stream and oil particles which forms a detectable reflected light.

Thus, the present invention is of high agricultural value for promoting the yield of commercially desired crops (e.g., biomass of vegetative organ such as poplar wood, or reproductive organ such as number of seeds or seed biomass).

Any of the transgenic plants described hereinabove or parts thereof may be processed to produce a feed, meal, protein or oil preparation, such as for ruminant animals.

The transgenic plants described hereinabove, which exhibit an increased oil content can be used to produce plant oil (by extracting the oil from the plant).

The plant oil (including the seed oil and/or the vegetative portion oil) produced according to the method of the invention may be combined with a variety of other ingredients. The specific ingredients included in a product are determined according to the intended use. Exemplary products include animal feed, raw material for chemical modification, biodegradable plastic, blended food product, edible oil, biofuel, cooking oil, lubricant, biodiesel, snack food, cosmetics, and fermentation process raw material. Exemplary products to be incorporated to the plant oil include animal feeds, human food products such as extruded snack foods, breads, as a food binding agent, aquaculture feeds, fermentable mixtures, food supplements, sport drinks, nutritional food bars, multi-vitamin supplements, diet drinks, and cereal foods. According to some embodiments of the invention, the oil comprises a seed oil.

According to some embodiments of the invention, the oil comprises a vegetative portion oil (oil of the vegetative portion of the plant).

According to some embodiments of the invention, the plant cell forms a part of a plant.

According to another embodiment of the present invention, there is provided a food or feed comprising the plants or a portion thereof of the present invention.

As used herein the term “about” refers to ±10%.

The terms “comprises”, “comprising”, “includes”, “including”, “having” and their conjugates mean “including but not limited to”.

The term “consisting of” means “including and limited to”.

The term “consisting essentially of” means that the composition, method or structure may include additional ingredients, steps and/or parts, but only if the additional ingredients, steps and/or parts do not materially alter the basic and novel characteristics of the claimed composition, method or structure.

As used herein, the singular form “a”, “an” and “the” include plural references unless the context clearly dictates otherwise. For example, the term “a compound” or “at least one compound” may include a plurality of compounds, including mixtures thereof.

Throughout this application, various embodiments of this invention may be presented in a range format. It should be understood that the description in range format is merely for convenience and brevity and should not be construed as an inflexible limitation on the scope of the invention. Accordingly, the description of a range should be considered to have specifically disclosed all the possible subranges as well as individual numerical values within that range. For example, description of a range such as from 1 to 6 should be considered to have specifically disclosed subranges such as from 1 to 3, from 1 to 4, from 1 to 5, from 2 to 4, from 2 to 6, from 3 to 6 etc., as well as individual numbers within that range, for example, 1, 2, 3, 4, 5, and 6. This applies regardless of the breadth of the range.

Whenever a numerical range is indicated herein, it is meant to include any cited numeral (fractional or integral) within the indicated range. The phrases “ranging/ranges between” a first indicate number and a second indicate number and “ranging/ranges from” a first indicate number “to” a second indicate number are used herein interchangeably and are meant to include the first and second indicated numbers and all the fractional and integral numerals therebetween.

As used herein the term “method” refers to manners, means, techniques and procedures for accomplishing a given task including, but not limited to, those manners, means, techniques and procedures either known to, or readily developed from known manners, means, techniques and procedures by practitioners of the chemical, pharmacological, biological, biochemical and medical arts.

When reference is made to particular sequence listings, such reference is to be understood to also encompass sequences that substantially correspond to its complementary sequence as including minor sequence variations, resulting from, e.g., sequencing errors, cloning errors, or other alterations resulting in base substitution, base deletion or base addition, provided that the frequency of such variations is less than 1 in 50 nucleotides, alternatively, less than 1 in 100 nucleotides, alternatively, less than 1 in 200 nucleotides, alternatively, less than 1 in 500 nucleotides, alternatively, less than 1 in 1000 nucleotides, alternatively, less than 1 in 5,000 nucleotides, alternatively, less than 1 in 10,000 nucleotides.

It is appreciated that certain features of the invention, which are, for clarity, described in the context of separate embodiments, may also be provided in combination in a single embodiment. Conversely, various features of the invention, which are, for brevity, described in the context of a single embodiment, may also be provided separately or in any suitable subcombination or as suitable in any other described embodiment of the invention. Certain features described in the context of various embodiments are not to be considered essential features of those embodiments, unless the embodiment is inoperative without those elements.

Various embodiments and aspects of the present invention as delineated hereinabove and as claimed in the claims section below find experimental support in the following examples.

Reference is now made to the following examples, which together with the above descriptions illustrate some embodiments of the invention in a non limiting fashion.

Generally, the nomenclature used herein and the laboratory procedures utilized in the present invention include molecular, biochemical, microbiological and recombinant DNA techniques. Such techniques are thoroughly explained in the literature. See, for example, “Molecular Cloning: A laboratory Manual” Sambrook et al., (1989); “Current Protocols in Molecular Biology” Volumes I-III Ausubel, R. M., ed. (1994); Ausubel et al., “Current Protocols in Molecular Biology”, John Wiley and Sons, Baltimore, Md. (1989); Perbal, “A Practical Guide to Molecular Cloning”, John Wiley & Sons, New York (1988); Watson et al., “Recombinant DNA”, Scientific American Books, New York; Birren et al. (eds) “Genome Analysis: A Laboratory Manual Series”, Vols. 1-4, Cold Spring Harbor Laboratory Press, New York (1998); methodologies as set forth in U.S. Pat. Nos. 4,666,828; 4,683,202; 4,801,531; 5,192,659 and 5,272,057; “Cell Biology: A Laboratory Handbook”, Volumes I-III Cellis, J. E., ed. (1994); “Current Protocols in Immunology” Volumes I-III Coligan J. E., ed. (1994); Stites et al. (eds), “Basic and Clinical Immunology” (8th Edition), Appleton & Lange, Norwalk, Conn. (1994); Mishell and Shiigi (eds), “Selected Methods in Cellular Immunology”, W. H. Freeman and Co., New York (1980); available immunoassays are extensively described in the patent and scientific literature, see, for example, U.S. Pat. Nos. 3,791,932; 3,839,153; 3,850,752; 3,850,578; 3,853,987; 3,867,517; 3,879,262; 3,901,654; 3,935,074; 3,984,533; 3,996,345; 4,034,074; 4,098,876; 4,879,219; 5,011,771 and 5,281,521; “Oligonucleotide Synthesis” Gait, M. J., ed. (1984); “Nucleic Acid Hybridization” Hames, B. D., and Higgins S. J., eds. (1985); “Transcription and Translation” Hames, B. D., and Higgins S. J., Eds. (1984); “Animal Cell Culture” Freshney, R. I., ed. (1986); “Immobilized Cells and Enzymes” IRL Press, (1986); “A Practical Guide to Molecular Cloning” Perbal, B., (1984) and “Methods in Enzymology” Vol. 1-317, Academic Press; “PCR Protocols: A Guide To Methods And Applications”, Academic Press, San Diego, Calif. (1990); Marshak et al., “Strategies for Protein Purification and Characterization—A Laboratory Course Manual” CSHL Press (1996); all of which are incorporated by reference as if fully set forth herein. Other general references are provided throughout this document. The procedures therein are believed to be well known in the art and are provided for the convenience of the reader. All the information contained therein is incorporated herein by reference.

General Experimental and Bioinformatics Methods

RNA extraction—Tissues growing at various growth conditions (as described below) were sampled and RNA was extracted using TRIzol Reagent from Invitrogen [invitrogen (dot) com/content (dot)cfm?pageid=469]. Approximately 30-50 mg of tissue was taken from samples. The weighed tissues were ground using pestle and mortar in liquid nitrogen and resuspended in 500 μl of TRIzol Reagent. To the hom*ogenized lysate, 100 μl of chloroform was added followed by precipitation using isopropanol and two washes with 75% ethanol. The RNA was eluted in 30 μl of RNase-free water. RNA samples were cleaned up using Qiagen's RNeasy minikit clean-up protocol as per the manufacturer's protocol (QIAGEN Inc, CA USA). For convenience, each micro-array expression information tissue type has received an expression Set ID.

Correlation analysis—was performed for selected genes according to some embodiments of the invention, in which the characterized parameters (measured parameters according to the correlation IDs) were used as “X axis” for correlation with the tissue transcriptome, which was used as the “Y axis”. For each gene and measured parameter a correlation coefficient “R” was calculated (using Pearson correlation) along with a p-value for the significance of the correlation. When the correlation coefficient (R) between the levels of a gene's expression in a certain tissue and a phenotypic performance across ecotypes/variety/hybrid is high in absolute value (between 0.5-1), there is an association between the gene (specifically the expression level of this gene) and the phenotypic characteristic (e.g., improved yield, growth rate, nitrogen use efficiency, abiotic stress tolerance and the like).

The present inventors have identified polynucleotides which expression thereof in plants can increase yield, seed yield, fiber yield, fiber quality, growth rate, vigor, biomass, growth rate, oil content, abiotic stress tolerance (ABST), fertilizer use efficiency (FUE) such as nitrogen use efficiency (NUE), and water use efficiency (WUE) of a plant, as follows.

All nucleotide sequence datasets used here were originated from publicly available databases or from performing sequencing using the Solexa technology (e.g. Barley and Sorghum). Sequence data from 100 different plant species was introduced into a single, comprehensive database. Other information on gene expression, protein annotation, enzymes and pathways were also incorporated.

Major databases used include:

Genomes

Arabidopsis genome [TAIR genome version 6 (arabidopsis (dot) org/)];

Rice genome [IRGSP build 4.0 (rgp (dot) dna (dot) affrc (dot) go (dot) jp/IRGSP/)];

Poplar [Populus trichocarpa release 1.1 from JGI (assembly release v1.0) (genome (dot) jgi-psf (dot) org/)];

Brachypodium [JGI 4× assembly, brachpodium (dot) org)];

Soybean [DOE-JGI SCP, version Glyma0 (phytozome (dot) net/)];

Grape [French-Italian Public Consortium for Grapevine Genome Characterization grapevine genome (genoscope (dot) cns (dot) fr/)];

Castobean [TIGR/J Craig Venter Institute 4× assembly [msc (dot) jcvi (dot) org/r communis];

Sorghum [DOE-JGI SCP, version Sbil [phytozome (dot) net/)];

Partially assembled genome of Maize [maizesequence (dot) org/];

Expressed EST and mRNA Sequences were Extracted from the Following Databases:

GenBank ncbi (dot) nlm (dot) nih (dot) gov/dbEST;

RefSeq (ncbi (dot) nlm (dot) nih (dot) gov/RefSeq/);

TAIR (arabidopsis (dot) org/);

Protein and Pathway Databases

Uniprot [uniprot (dot) org/];

AraCyc [arabidopsis (dot) org/biocyc/index (dot) jsp];

ENZYME [expasy (dot) org/enzyme/];

Microarray Datasets were Downloaded from:

GEO (ncbi (dot) nlm (dot) nih (dot) gov/geo/);

TAIR (Arabidopsis (dot) org/);

Proprietary microarray data (WO2008/122980);

QTL and SNPs Information

Gramene [gramene (dot) org/qtl/];

Panzea [panzea (dot) org/index (dot) html];

Database Assembly—was performed to build a wide, rich, reliable annotated and easy to analyze database comprised of publicly available genomic mRNA, ESTs DNA sequences, data from various crops as well as gene expression, protein annotation and pathway data QTLs, and other relevant information.

Database assembly is comprised of a toolbox of gene refining, structuring, annotation and analysis tools enabling to construct a tailored database for each gene discovery project. Gene refining and structuring tools enable to reliably detect splice variants and antisense transcripts, generating understanding of various potential phenotypic outcomes of a single gene. The capabilities of the “LEADS” platform of Compugen LTD for analyzing human genome have been confirmed and accepted by the scientific community [see e.g., “Widespread Antisense Transcription”, Yelin, et al. (2003) Nature Biotechnology 21, 379-85; “Splicing of Alu Sequences”, Lev-Maor, et al. (2003) Science 300 (5623), 1288-91; “Computational analysis of alternative splicing using EST tissue information”, Xie H et al. Genomics 2002], and have been proven most efficient in plant genomics as well.

EST clustering and gene assembly—For gene clustering and assembly of organisms with available genome sequence data (arabidopsis, rice, castorbean, grape, brachypodium, poplar, soybean, sorghum) the genomic LEADS version (GANG) was employed. This tool allows most accurate clustering of ESTs and mRNA sequences on genome, and predicts gene structure as well as alternative splicing events and anti-sense transcription.

For organisms with no available full genome sequence data, “expressed LEADS” clustering software was applied.

Gene annotation—Predicted genes and proteins were annotated as follows: BLAST® search [BLAST® (dot) ncbi (dot) nlm (dot) nih (dot) gov/BLAST® (dot) cgi] against all plant UniProt [uniprot (dot) org/] sequences was performed. Open reading frames of each putative transcript were analyzed and longest ORF with higher number of hom*ologues was selected as predicted protein of the transcript. The predicted proteins were analyzed by InterPro [ebi (dot) ac (dot) uk/interproa

BLAST® against proteins from AraCyc and ENZYME databases was used to map the predicted transcripts to AraCyc pathways.

Predicted proteins from different species were compared using BLAST® algorithm [ncbi (dot) nlm (dot) nih (dot) gov/BLAST® (dot) cgi] to validate the accuracy of the predicted protein sequence, and for efficient detection of orthologs.

Gene expression profiling—Several data sources were exploited for gene expression profiling, namely microarray data and digital expression profile (see below).

According to gene expression profile, a correlation analysis was performed to identify genes which are co-regulated under different development stages and environmental conditions and associated with different phenotypes.

Publicly available microarray datasets were downloaded from TAIR and NCBI GEO sites, renormalized, and integrated into the database. Expression profiling is one of the most important resource data for identifying genes important for yield.

A digital expression profile summary was compiled for each cluster according to all keywords included in the sequence records comprising the cluster. Digital expression, also known as electronic Northern Blot, is a tool that displays virtual expression profile based on the EST sequences forming the gene cluster. The tool provides the expression profile of a cluster in terms of plant anatomy (e.g., the tissue/organ in which the gene is expressed), developmental stage (the developmental stages at which a gene can be found) and profile of treatment (provides the physiological conditions under which a gene is expressed such as drought, cold, pathogen infection, etc.). Given a random distribution of ESTs in the different clusters, the digital expression provides a probability value that describes the probability of a cluster having a total of N ESTs to contain X ESTs from a certain collection of libraries. For the probability calculations, the following is taken into consideration: a) the number of ESTs in the cluster, b) the number of ESTs of the implicated and related libraries, c) the overall number of ESTs available representing the species. Thereby clusters with low probability values are highly enriched with ESTs from the group of libraries of interest indicating a specialized expression.

Recently, the accuracy of this system was demonstrated by Portnoy et al., 2009 (Analysis Of The Melon Fruit Transcriptome Based On 454 Pyrosequencing) in: Plant & Animal Genomes XVII Conference, San Diego, Calif. Transcriptomeic analysis, based on relative EST abundance in data was performed by 454 pyrosequencing of cDNA representing mRNA of the melon fruit. Fourteen double strand cDNA samples obtained from two genotypes, two fruit tissues (flesh and rind) and four developmental stages were sequenced. GS FLX pyrosequencing (Roche/454 Life Sciences) of non-normalized and purified cDNA samples yielded 1,150,657 expressed sequence tags, that assembled into 67,477 unigenes (32,357 singletons and 35,120 contigs). Analysis of the data obtained against the Cucurbit Genomics Database [icugi (dot) org/] confirmed the accuracy of the sequencing and assembly. Expression patterns of selected genes fitted well their qRT-PCR data.

The genes listed in Table 1 below were identified to have a major impact on plant yield, seed yield, fiber yield, fiber quality, growth rate, photosynthetic capacity, vigor, biomass, growth rate, oil content, abiotic stress tolerance, nitrogen use efficiency, water use efficiency and/or fertilizer use efficiency when expression thereof is increased in plants. The identified genes, their curated polynucleotide and polypeptide sequences, their updated sequences according to Genbank database and the sequences of the cloned genes and proteins are summarized in Table 1, hereinbelow.

TABLE I
Identified genes for increasing yield, seed yield, growth rate, vigor, biomass, growth rate, oil content,
fiber yield, fiber quality, photosynthetic capacity, abiotic stress tolerance, nitrogen use efficiency,
water use efficiency and fertilizer use efficiency of a plant Provided are the identified genes, their
annotation, organism and polynucleotide and polypeptide sequence identifiers.
GenePolyn. SEQPolyp. SEQ
NameCluster NameOrganismID NO:ID NO:
LBY16arabidopsis|13v2|AT1G22970arabidopsis1552
LBY17arabidopsis|13v2|AT2G33210arabidopsis2553
LBY18barley|12v1|AJ461405barley3554
LBY19barley|12v1|AJ480517barley4555
LBY20barley|12v1|AV833663barley5556
LBY21barley|12v1|BE602565barley6557
LBY22barley|12v1|BE603141barley7558
LBY23barley|12v1|BF260749barley8559
LBY24barley|12v1|BF623324barley9560
LBY25barley|12v1|BF628509barley10561
LBY26barley|12v1|BG309426barley11562
LBY27barley|12v1|BG414966barley12563
LBY28barley|12v1|BI947919barley13564
LBY29barley|12v1|BI950637barley14565
LBY30barley|12v1|BI957144barley15566
LBY31barley|12v1|BM370880barley16567
LBY32barley|12v1|BU981749barley17568
LBY33bean|13v1|CA912900bean18569
LBY34bean|13v1|HO799852bean19570
LBY35bean|13v1|SRR001335X308983bean20571
LBY36bean|13v1|SRR001335X369026bean21572
LBY37brachypodium|13v2|BRADI1G10360brachypodium22573
LBY39chlamydomonas|13v1|AF016902chlamydomonas23574
LBY40chlamydomonas|13v1|AV389131chlamydomonas24575
LBY41chlamydomonas|13v1|BE024238chlamydomonas25576
LBY42chlamydomonas|13v1|BE056699chlamydomonas26577
LBY43chlamydomonas|13v1|BE238232chlamydomonas27578
LBY44chlamydomonas|13v1|BG859395chlamydomonas28579
LBY45cotton|11v1|AI728213cotton29580
LBY46cotton|11v1|AW187962cotton30581
LBY47cotton|11v1|BE054714cotton31582
LBY48cotton|11v1|CA992719cotton32583
LBY49cotton|11v1|CD485858cotton33584
LBY50cotton|11v1|CO094458cotton34585
LBY51cotton|11v1|CO097155XX2cotton35586
LBY52cotton|11v1|DT048759XX2cotton36587
LBY53cotton|11v1|DT551860cotton37588
LBY54cotton|11v1|DT569254cotton38589
LBY55foxtail_millet|13v2|EC612531 foxtail_millet39590
LBY56foxtail_millet|13v2|PHY7SI011949Mfoxtail_millet 40591
LBY57foxtail_millet|13v2|PHY7SI024118Mfoxtail_millet 41592
LBY58foxtail_millet|13v2|PHY7SI031876Mfoxtail_millet 42593
LBY59foxtail_millet|13v2|PHY7SI032418Mfoxtail_millet 43594
LBY61foxtail_millet|13v2|SRR350548X103005foxtail_millet 44595
LBY62foxtail_millet|13v2|SRR350548X10518foxtail_millet 45596
LBY63foxtail_millet|13v2|SRR350548X107681foxtail_millet 46597
LBY64foxtail_millet|13v2|SRR350548X10799foxtail_millet 47598
LBY65foxtail_millet|13v2|SRR350548X10909foxtail_millet 48599
LBY66foxtail_millet|13v2|SRR350548X113858foxtail_millet 49600
LBY67foxtail_millet|13v2|SRR350548X115271foxtail_millet 50601
LBY68foxtail_millet|13v2|SRR350548X117047foxtail_millet 51602
LBY69foxtail_millet|13v2|SRR350548X122695foxtail_millet 52603
LBY70foxtail_millet|13v2|SRR350548X123794foxtail_millet 53604
LBY71foxtail_millet|13v2|SRR350548X12932foxtail_millet 54605
LBY72foxtail_millet|13v2|SRR350548X130312foxtail_millet 55606
LBY73foxtail_millet|13v2|SRR350548X132820foxtail_millet 56607
LBY74foxtail_millet|13v2|SRR350548X135074foxtail_millet 57608
LBY75foxtail_millet|13v2|SRR350548X141269foxtail_millet 58609
LBY76foxtail_millet|13v2|SRR350548X15437foxtail_millet 59610
LBY77foxtail_millet|13v2|SRR350548X157828foxtail_millet 60611
LBY78foxtail_millet|13v2|SRR350548X17296foxtail_millet 61612
LBY79foxtail_millet|13v2|SRR350548X177567foxtail_millet 62613
LBY80foxtail_millet|13v2|SRR350548X191757foxtail_millet 63614
LBY81foxtail_millet|13v2|SRR350548X196210foxtail_millet 64615
LBY82foxtail_millet|13v2|SRR350548X196859foxtail_millet 65616
LBY83foxtail_millet|13v2|SRR350548X218671foxtail_millet 66617
LBY84foxtail_millet|13v2|SRR350548X306788foxtail_millet 67618
LBY85foxtail_millet|13v2|SRR350548X349819foxtail_millet 68619
LBY86foxtail_millet|13v2|SRR350548X406093foxtail_millet 69620
LBY87foxtail_millet|13v2|SRR350548X410798foxtail_millet 70621
LBY88foxtail_millet|13v2|SRR350548X59197foxtail_millet 71622
LBY89foxtail_millet|13v2|SRR350548X77704foxtail_millet 72623
LBY90foxtail_millet|13v2|SRR350549X116153foxtail_millet 73624
LBY91foxtail_millet|13v2|SRR350549X131202foxtail_millet 74625
LBY92foxtail_millet|13v2|SRR350549X154401foxtail_millet 75626
LBY93gossypium_raimondii|13v1|AI055109gossypium_raimondii76627
LBY94gossypium_raimondii|13v1|AW187415gossypium_raimondii77628
LBY95gossypium_raimondii|13v1|BG440368gossypium_raimondii78629
LBY96gossypium_raimondii|13v1|CA993797gossypium_raimondii79630
LBY97gossypium_raimondii|13v1|DW518098gossypium_raimondii80631
LBY98grape|13v1|GSVIVT01008767001grape81632
LBY99grape|13v1|GSVIVT01022545001grape82633
LBY100grape|13v1|GSVIVT01027185001grape83634
LBY102grape|13v1|GSVIVT01033774001grape84635
LBY103maize|13v2|AI391771maize85636
LBY104maize|13v2|AI391832maize86637
LBY105maize|13v2|AI629879maize87638
LBY106maize|13v2|AI629976maize88639
LBY107maize|13v2|AI649422maize89640
LBY108maize|13v2|AI665281maize90641
LBY109maize|13v2|AI714974maize91642
LBY110maize|13v2|AI783421maize92643
LBY111maize|13v2|AI857222maize93644
LBY112maize|13v2|AW066591maize94645
LBY113maize|13v2|BE511523maize95646
LBY114maize|13v2|BG320464maize96647
LBY115maize|13v2|BG836613maize97648
LBY116maize|13v2|BM416753maize98649
LBY117maize|13v2|BM895232maize99650
LBY118maize|13v2|CF648041maize100651
LBY119maize|13v2|DW918922maize101652
LBY120maize|13v2|W21655maize102653
LBY121maize|13v2|W21748maize103654
LBY122maize|13v2|W49461maize104655
LBY123maize|13v2|X81831maize105656
LBY125medicago|13v1|AW696074medicago106657
LBY126medicago|13v1|BG457785medicago107658
LBY127medicago|13v1|BQ147900medicago108659
LBY128peanut|13v1|EE125510peanut109660
LBY129peanut|13v1|ES722517peanut110661
LBY131physcomitrella|13v1|AW738860physcomitrella111662
LBY132pine|10v2|BM492830pine112663
LBY133plantago|11v2|SRR066373X397343plantago113664
LBY134poplar|13v1|AI164180poplar114665
LBY135potato|10v1|BE919981potato115666
LBY136potato|10v1|BF460221potato116667
LBY137potato|10v1|BG595100potato117668
LBY138rice|11v1|AU069467rice118669
LBY139rice|13v2|AA750185rice119670
LBY140rice|13v2|AA750741rice120671
LBY141rice|13v2|AU077650rice121672
LBY142rice|13v2|AU173280rice122673
LBY143rice|13v2|BI796376rice123674
LBY144rice|13v2|BQ907720rice124675
LBY145rice|13v2|C28519rice125676
LBY146rice|13v2|GFXAC018727X13rice126677
LBY147rice|13v2|GFXAC090120X15rice127678
LBY148sorghum|12v1|SB03G032710sorghum128679
LBY149sorghum|13v2|AI723863sorghum129680
LBY150sorghum|13v2|AI723986sorghum130681
LBY151sorghum|13v2|AI724085sorghum131682
LBY152sorghum|13v2|AI724262sorghum132683
LBY153sorghum|13v2|AW283496sorghum133684
LBY154sorghum|13v2|AW285663sorghum134685
LBY155sorghum|13v2|AW564408sorghum135686
LBY156sorghum|13v2|AW565627sorghum136687
LBY157sorghum|13v2|AW671774sorghum137688
LBY158sorghum|13v2|AW676719sorghum138689
LBY159sorghum|13v2|AW679798sorghum139690
LBY160sorghum|13v2|AW746324sorghum140691
LBY161sorghum|13v2|AW747557sorghum141692
LBY162sorghum|13v2|BE126058sorghum142693
LBY163sorghum|13v2|BE355844sorghum143694
LBY164sorghum|13v2|BE356001sorghum144695
LBY165sorghum|13v2|BE357267sorghum145696
LBY166sorghum|13v2|BE358756sorghum146697
LBY167sorghum|13v2|BE360790sorghum147698
LBY168sorghum|13v2|BE364917sorghum148699
LBY170sorghum|13v2|BE594760sorghum149700
LBY171sorghum|13v2|BE597213sorghum150701
LBY173sorghum|13v2|BF421040sorghum151702
LBY174sorghum|13v2|BF585682sorghum152703
LBY175sorghum|13v2|BF586554sorghum153704
LBY176sorghum|13v2|BG049624sorghum154705
LBY177sorghum|13v2|BG050660sorghum155706
LBY178sorghum|13v2|BG053630sorghum156707
LBY179sorghum|13v2|BG411492sorghum157708
LBY180sorghum|13v2|BG488154sorghum158709
LBY181sorghum|13v2|BM322245sorghum159710
LBY182sorghum|13v2|CD222102sorghum160711
LBY183sorghum|13v2|CD223986sorghum161712
LBY184sorghum|13v2|CD224850sorghum162713
LBY185sorghum|13v2|CD226020sorghum163714
LBY186sorghum|13v2|CD227545sorghum164715
LBY187sorghum|13v2|CD431650sorghum165716
LBY188sorghum|13v2|CF757269sorghum166717
LBY189sorghum|13v2|CF760555sorghum167718
LBY190sorghum|13v2|CF761959sorghum168719
LBY191sorghum|13v2|XM_002441241sorghum169720
LBY192sorghum|13v2|XM_002457915sorghum170721
LBY193soybean|13v2|GLYMAO5G343soybean171722
LBY194soybean|13v2|GLYMA15G306soybean172723
LBY195soybean|13v2|GLYMA19G40920T2soybean173724
LBY196spruce|11v1|ES252179spruce174725
LBY197sunflower|12v1|AJ829034sunflower175726
LBY199sunflower|12v1|BU021733sunflower176727
LBY200sunflower|12v1|CD847948sunflower177728
LBY201sunflower|12v1|CD852615sunflower178729
LBY202sunflower|12v1|CD853598sunflower179730
LBY203sunflower|12v1|CX948055sunflower180731
LBY204sunflower|12v1|DY904031sunflower181732
LBY205sunflower|12v1|DY904769sunflower182733
LBY206sunflower|12v1|DY914980sunflower183734
LBY207sunflower|12v1|DY918107sunflower184735
LBY208sunflower|12v1|DY928062sunflower185736
LBY209sunflower|12v1|EE609275sunflower186737
LBY210sunflower|12v1|EE613413sunflower187738
LBY211sunflower|12v1|EE625930sunflower188739
LBY212tomato|13v1|BG123297tomato189740
LBY213tomato|13v1|BG129885tomato190741
LBY214wheat|12v3|AL820463wheat191742
LBY215wheat|12v3|AL821230wheat192743
LBY216wheat|12v3|BE402170wheat193744
LBY217wheat|12v3|BE402302wheat194745
LBY218wheat|12v3|BE413931wheat195746
LBY219wheat|12v3|BE415435wheat196747
LBY220wheat|12v3|BE419175wheat197748
LBY221wheat|12v3|BE419414wheat198749
LBY222wheat|12v3|BE422621wheat199750
LBY224wheat|12v3|BE442666wheat200751
LBY225wheat|12v3|BE446154wheat201752
LBY227wheat|12v3|BE515516wheat202753
LBY228wheat|12v3|BE516296wheat203754
LBY230wheat|12v3|CA608701wheat204755
LBY231wheat|12v3|CA662849wheat205756
LBY232wheat|12v3|CA706141wheat206757
LBY233maize|13v2|AI939887maize207758
LBY106_H3maize|13v2|BG320823maize208759
LBY119_H1sorghum|13v2|XM_002458388sorghum209760
LBY219_H9rice|13v2|BM422078rice210761
LBY27_H4maize|13v2|BE050333maize211762
LBY34_H2soybean|13v2|GLYMA09G42190soybean212763
LGN1wheat|12v3|BE405890wheat213764
LGN2soybean|12v1|GLYMA16G27050soybean214765
LGN3sorghum|13v2|CN131173sorghum215766
LGN4sorghum|13v2|BF587229sorghum216767
LGN5sorghum|13v2|BI643690sorghum217768
LGN6sorghum|13v2|BE598356sorghum218769
LGN7sorghum|13v2|BE363875sorghum219770
LGN9rice|gb170|OS02G48000rice220771
LGN13rice|11v1|CV722121rice221772
LGN14rice|11v1|CB663201rice222773
LGN17maize|13v2|CF647382maize223774
LGN18maize|13v2|AW562670maize224775
LGN20maize|13v2|AI920382maize225776
LGN23maize|10v1|CF011727maize226777
LGN24maize|10v1|CD943107maize227778
LGN26maize|10v1|BE051266maize228779
LGN33maize|10v1|AI857219maize229780
LGN34maize|10v1|AI691183maize230781
LGN35maize|10v1|AI668189maize231782
LGN36maize|10v1|AI666136maize232783
LGN39maize|10v1|AA979848maize233784
LGN40cotton|11v1|BG446873cotton234785
LGN41brachypodium|12v1|brachypodium235786
BRADI1G64560
LGN42barley|12v1|BI951707barley236787
LGN43barley|12v1|BI946826barley237788
LGN44barley|12v1|BF626012barley238789
LGN45barley|12v1|BF624588barley239790
LGN46barley|12v1|BF619715barley240791
LGN47barley|10v2|BI948139barley241792
LGN48barley|10v2|AV833757barley242793
LGN49maize|10v1|AI901839maize243794
LGN52foxtail_millet|11v3|SOLX00022696foxtail_millet 244795
LGN54sorghum|12v1|SB01G028500sorghum245796
LGN57sorghum|13v2|BE596729sorghum246797
LGN60foxtail_millet|13v2|SRR350548X10009foxtail_millet 247798
LGN61maize|13v2|AI941989maize248799
LGN62maize|13v2|CF626471maize249800
LGN62_H2foxtail_millet|13v2|SRR350548X213481foxtail_millet 250801
LBY1barley|12v1|BU976513barley251
LBY2cotton|11v1|DW509834XX1cotton252
LBY3foxtail_millet|11v3|PHY7SI024106Mfoxtail_millet 253
LBY4gossypium_raimondii|13v1|gossypium_raimondii254
GR13V1PRD019042
LBY5maize|13v2|AI001271maize255
LBY6maize|13v2|BQ528930maize256
LBY10maize|13v2|EXP1208S11302X009072496D1maize257
LBY12maize|13v2|SRR014549X246688maize258
LBY13maize|13v2|SRR014549X57533maize259
LBY14sorghum|13v2|BE359338sorghum260
LBY15maize|13v2|ZM13V1RFAM401maize261
LBY216wheat|12v3|BE402170wheat193813
LBY20barley|12v1|AV833663barley262556
LBY33bean|13v1|CA912900bean263802
LBY36bean|13v1|SRR001335X369026bean264803
LBY43chlamydomonas|13v1|BE238232chlamydomonas265804
LBY52cotton|11v1|DT048759XX2cotton266805
LBY61foxtail_millet|13v2|SRR350548X103005foxtail_millet 267595
LBY68foxtail_millet|13v2|SRR350548X117047foxtail_millet 268602
LBY69foxtail_millet|13v2|SRR350548X122695foxtail_millet 269806
LBY70foxtail_millet|13v2|SRR350548X123794foxtail_millet 270604
LBY72foxtail_millet|13v2|SRR350548X130312foxtail_millet 271606
LBY73foxtail_millet|13v2|SRR350548X132820foxtail_millet 272807
LBY74foxtail_millet|13v2|SRR350548X135074foxtail_millet 273608
LBY80foxtail_millet|13v2|SRR350548X191757foxtail_millet 274808
LBY84foxtail_millet|13v2|SRR350548X306788foxtail_millet 275618
LBY86foxtail_millet|13v2|SRR350548X406093foxtail_millet 276620
LBY92foxtail_millet|13v2|SRR350549X154401foxtail_millet 277809
LBY93gossypium_raimondii|13v1|AI055109gossypium_raimondii278627
LBY95gossypium_raimondiil 13v1|BG440368gossypium_raimondii279629
LBY106maize|13v2|A1629976maize280639
LBY135potato|10v1|BE919981potato281666
LBY140rice|13v2|AA750741rice282671
LBY145rice|13v1|C28519rice283676
LBY151sorghum|13v2|AI724085sorghum284682
LBY156sorghum|13v2|AW565627sorghum285687
LBY157sorghum|13v2|AW671774sorghum286688
LBY159sorghum|13v2|AW679798sorghum287810
LBY165sorghum|13v2|BE357267sorghum288696
LBY178sorghum|13v2|BG053630sorghum289707
LBY201sunflower|12v1|CD852615sunflower290729
LBY204sunflower|12v1|DY904031sunflower291811
LBY206sunflower|12v1|DY914980sunflower292734
LBY208sunflower|12v1|DY928062sunflower293812
LBY215wheat|12v3|AL821230wheat294743
LBY106_H3maize|13v2|BG320823maize295759
LBY119_H1sorghum|13v2|XM_002458388sorghum296814
LBY219_H9rice|13v2|BM422078rice297761
LBY27_H4maize|13v2|BE050333maize298815
LBY34_H2soybean|13v2|GLYMA09G42190soybean299763
LGN1wheat|12v3|BE405890wheat300764
LGN18maize|13v2|AW562670maize301816
LGN23maize|10v1|CF011727maize302777
LGN42barley|12v1|BI951707barley303787
LGN62_H2foxtail_millet|13v2|SRR350548X213481foxtail_millet 304801
LBY2cotton|11v1|DW509834XX1cotton305
LBY3foxtail_millet|11v3|PHY7SI024106Mfoxtail_millet 306
LBY4gossypium_raimondii|13v1|gossypium_raimondii307
GR13V1PRD019042
LBY5maize|13v2|AI001271maize308
LBY6maize|13v2|BQ528930maize309
LBY14sorghum|13v2|BE359338sorghum310
LBY15maize|13v2|ZM13V1RFAM401maize261
LBY16arabidopsis|13v2|AT1G22970arabidopsis311552
LBY17arabidopsis|13v2|AT2G33210arabidopsis312553
LBY18barley|12v1|AJ461405barley313554
LBY20barley|12v1|AV833663barley314817
LBY21barley|12v1|BE602565barley315557
LBY22barley|12v1|BE603141barley316558
LBY23barley|12v1|BF260749barley317559
LBY24barley|12v1|BF623324barley318818
LBY25barley|12v1|BF628509barley319561
LBY26barley|12v1|BG309426barley320562
LBY28barley|12v1|BI947919barley321819
LBY29barley|12v1|BI950637barley322565
LBY30barley|12v1|BI957144barley323566
LBY31barley|12v1|BM370880barley324820
LBY32barley|12v1|BU981749barley325568
LBY33bean|13v1|CA912900bean326821
LBY35bean|13v1|SRR001335X308983bean327822
LBY36bean|13v1|SRR001335X369026bean328823
LBY37brachypodium|13v2|BRADI1G10360brachypodium329573
LBY39chlamydomonas|13v1|AF016902chlamydomonas330574
LBY40chlamydomonas|13v1|AV389131chlamydomonas331575
LBY41chlamydomonas|13v1|BE024238chlamydomonas332576
LBY43chlamydomonas|13v1|BE238232chlamydomonas333578
LBY44chlamydomonas|13v1|BG859395chlamydomonas334579
LBY45cotton|11v1|AI728213cotton335580
LBY46cotton|11v1|AW187962cotton336824
LBY47cotton|11v1|BE054714cotton337825
LBY48cotton|11v1|CA992719cotton338826
LBY49cotton|11v1|CD485858cotton339827
LBY50cotton|11v1|CO094458cotton340828
LBY51cotton|11v1|CO097155XX2cotton341586
LBY52cotton|11v1|DT048759XX2cotton342829
LBY53cotton|11v1|DT551860cotton343830
LBY54cotton|11v1|DT569254cotton344589
LBY55foxtail_millet|13v2|EC612531 foxtail_millet345590
LBY56foxtail_millet|13v2|PHY7SI011949Mfoxtail_millet 346591
LBY57foxtail_millet|13v2|PHY7SI024118Mfoxtail_millet 347592
LBY58foxtail_millet|13v2|PHY7SI031876Mfoxtail_millet 348593
LBY59foxtail_millet|13v2|PHY7SI032418Mfoxtail_millet 349594
LBY61foxtail_millet|13v2|SRR350548X103005foxtail_millet 350595
LBY62foxtail_millet|13v2|SRR350548X10518foxtail_millet 351596
LBY63foxtail_millet|13v2|SRR350548X107681foxtail_millet 352597
LBY64foxtail_millet|13v2|SRR350548X10799foxtail_millet 353598
LBY65foxtail_millet|13v2|SRR350548X10909foxtail_millet 354599
LBY66foxtail_millet|13v2|SRR350548X113858foxtail_millet 355600
LBY68foxtail_millet|13v2|SRR350548X117047foxtail_millet 356602
LBY69foxtail_millet|13v2|SRR350548X122695foxtail_millet 357831
LBY70foxtail_millet|13v2|SRR350548X123794foxtail_millet 358604
LBY71foxtail_millet|13v2|SRR350548X12932foxtail_millet 359605
LBY72foxtail_millet|13v2|SRR350548X130312foxtail_millet 360832
LBY73foxtail_millet|13v2|SRR350548X132820foxtail_millet 361607
LBY74foxtail_millet|13v2|SRR350548X135074foxtail_millet 362833
LBY75foxtail_millet|13v2|SRR350548X141269foxtail_millet 363609
LBY76foxtail_millet|13v2|SRR350548X15437foxtail_millet 364610
LBY77foxtail_millet|13v2|SRR350548X157828foxtail_millet 365611
LBY78foxtail_millet|13v2|SRR350548X17296foxtail_millet 366612
LBY79foxtail_millet|13v2|SRR350548X177567foxtail_millet 367613
LBY80foxtail_millet|13v2|SRR350548X191757foxtail_millet 368614
LBY81foxtail_millet|13v2|SRR350548X196210foxtail_millet 369615
LBY82foxtail_millet|13v2|SRR350548X196859foxtail_millet 370616
LBY83foxtail_millet|13v2|SRR350548X218671foxtail_millet 371617
LBY84foxtail_millet|13v2|SRR350548X306788foxtail_millet 372618
LBY85foxtail_millet|13v2|SRR350548X349819foxtail_millet 373619
LBY86foxtail_millet|13v2|SRR350548X406093foxtail_millet 374620
LBY87foxtail_millet|13v2|SRR350548X410798foxtail_millet 375621
LBY88foxtail_millet|13v2|SRR350548X59197foxtail_millet 376622
LBY89foxtail_millet|13v2|SRR350548X77704foxtail_millet 377623
LBY90foxtail_millet|13v2|SRR350549X116153foxtail_millet 378624
LBY91foxtail_millet|13v2|SRR350549X131202foxtail_millet 379625
LBY92foxtail_millet|13v2|SRR350549X154401foxtail_millet 380626
LBY93gossypium_raimondii|13v1|gossypium_raimondii381834
AI055109
LBY94gossypium_raimondii|13v1|gossypium_raimondii382835
AW187415
LBY95gossypium_raimondii|13v1|gossypium_raimondii383836
BG440368
LBY96gossypium_raimondii|13v1|gossypium_raimondii384630
CA993797
LBY97gossypium_raimondii|13v1|gossypium_raimondii385837
DW518098
LBY98grape|13v1|GSVIVT01008767001grape386632
LBY99grape|13v1|GSVIVT01022545001grape387633
LBY100grape|13v1|GSVIVT01027185001grape388634
LBY102grape|13v1|GSVIVT01033774001grape389635
LBY103maize|13v2|AI391771maize390636
LBY104maize|13v2|AI391832maize391637
LBY105maize|13v2|AI629879maize392638
LBY107maize|13v2|AI649422maize393640
LBY108maize|13v2|AI665281maize394838
LBY109maize|13v2|AI714974maize395642
LBY110maize|13v2|AI783421maize396643
LBY111maize|13v2|AI857222maize397644
LBY112maize|13v2|AW066591maize398645
LBY113maize|13v2|BE511523maize399646
LBY114maize|13v2|BG320464maize400647
LBY115maize|13v2|BG836613maize401648
LBY116maize|13v2|BM416753maize402839
LBY117maize|13v2|BM895232maize403650
LBY118maize|13v2|CF648041maize404651
LBY120maize|13v2|W21655maize405840
LBY121maize|13v2|W21748maize406841
LBY122maize|13v2|W49461maize407842
LBY123maize|13v2|X81831maize408656
LBY125medicago|13v1|AW696074medicago409657
LBY126medicago|13v1|BG457785medicago410658
LBY127medicago|13v1|BQ147900medicago411843
LBY128peanut|13v1|EE125510peanut412660
LBY129peanut|13v1|ES722517peanut413661
LBY132pine|10v2|BM492830pine414663
LBY133plantago|11v2|SRR066373X397343plantago415664
LBY134poplar|13v1|AI164180poplar416665
LBY135potato|10v1|BE919981potato417666
LBY136potato|10v1|BF460221potato418844
LBY137potato|10v1|BG595100potato419845
LBY138rice|11v1|AU069467rice420669
LBY139rice|13v2|AA750185rice421846
LBY140rice|13v2|AA750741rice422671
LBY141rice|13v2|AU077650rice423672
LBY142rice|13v2|AU173280rice424673
LBY143rice|13v2|BI796376rice425674
LBY144rice|13v2|BQ907720rice426847
LBY145rice|13v2|C28519rice427676
LBY146rice|13v2|GFXAC018727X13rice428848
LBY148sorghum|12v1|SB03G032710sorghum429679
LBY149sorghum|13v2|AI723863sorghum430680
LBY150sorghum|13v2|AI723986sorghum431681
LBY151sorghum|13v2|AI724085sorghum432682
LBY152sorghum|13v2|AI724262sorghum433683
LBY153sorghum|13v2|AW283496sorghum434684
LBY154sorghum|13v2|AW285663sorghum435685
LBY155sorghum|13v2|AW564408sorghum436849
LBY156sorghum|13v2|AW565627sorghum437850
LBY157sorghum|13v2|AW671774sorghum438688
LBY158sorghum|13v2|AW676719sorghum439851
LBY159sorghum|13v2|AW679798sorghum440690
LBY160sorghum|13v2|AW746324sorghum441691
LBY161sorghum|13v2|AW747557sorghum442692
LBY162sorghum|13v2|BE126058sorghum443693
LBY163sorghum|13v2|BE355844sorghum444694
LBY164sorghum|13v2|BE356001sorghum445852
LBY165sorghum|13v2|BE357267sorghum446853
LBY166sorghum|13v2|BE358756sorghum447697
LBY167sorghum|13v2|BE360790sorghum448698
LBY170sorghum|13v2|BE594760sorghum449700
LBY171sorghum|13v2|BE597213sorghum450701
LBY173sorghum|13v2|BF421040sorghum451702
LBY174sorghum|13v2|BF585682sorghum452703
LBY175sorghum|13v2|BF586554sorghum453704
LBY176sorghum|13v2|BG049624sorghum454705
LBY177sorghum|13v2|BG050660sorghum455706
LBY178sorghum|13v2|BG053630sorghum456707
LBY179sorghum|13v2|BG411492sorghum457708
LBY180sorghum|13v2|BG488154sorghum458854
LBY181sorghum|13v2|BM322245sorghum459855
LBY182sorghum|13v2|CD222102sorghum460856
LBY183sorghum|13v2|CD223986sorghum461712
LBY184sorghum|13v2|CD224850sorghum462713
LBY185sorghum|13v2|CD226020sorghum463857
LBY186sorghum|13v2|CD227545sorghum464715
LBY187sorghum|13v2|CD431650sorghum465858
LBY188sorghum|13v2|CF757269sorghum466717
LBY190sorghum|13v2|CF761959sorghum467719
LBY191sorghum|13v2|XM_002441241sorghum468720
LBY192sorghum|13v2|XM_002457915sorghum469859
LBY193soybean|13v2|GLYMA05G34360soybean470860
LBY194soybean|13v2|GLYMA15G30610soybean471723
LBY195soybean|13v2|GLYMA19G40920T2soybean472861
LBY196spruce|11v1|ES252179spruce473725
LBY197sunflower|12v1|AJ829034sunflower474726
LBY199sunflower|12v1|BU021733sunflower475862
LBY200sunflower|12v1|CD847948sunflower476863
LBY201sunflower|12v1|CD852615sunflower477864
LBY202sunflower|12v1|CD853598sunflower478865
LBY203sunflower|12v1|CX948055sunflower479866
LBY204sunflower|12v1|DY904031sunflower480732
LBY205sunflower|12v1|DY904769sunflower481867
LBY206sunflower|12v1|DY914980sunflower482868
LBY207sunflower|12v1|DY918107sunflower483869
LBY208sunflower|12v1|DY928062sunflower484736
LBY209sunflower|12v1|EE609275sunflower485870
LBY210sunflower|12v1|EE613413sunflower486871
LBY211sunflower|12v1|EE625930sunflower487872
LBY212tomato|13v1|BG123297tomato488873
LBY213tomato|13v1|BG129885tomato489874
LBY214wheat|12v3|AL820463wheat490742
LBY216wheat|12v3|BE402170wheat491875
LBY217wheat|12v3|BE402302wheat492876
LBY218wheat|12v3|BE413931wheat493877
LBY220wheat|12v3|BE419175wheat494748
LBY221wheat|12v3|BE419414wheat495749
LBY222wheat|12v3|BE422621wheat496878
LBY224wheat|12v3|BE442666wheat497751
LBY225wheat|12v3|BE446154wheat498879
LBY227wheat|12v3|BE515516wheat499753
LBY228wheat|12v3|BE516296wheat500880
LBY230wheat|12v3|CA608701wheat501881
LBY231wheat|12v3|CA662849wheat502882
LBY232wheat|12v3|CA706141wheat503883
LBY233maize|13v2|AI939887maize504758
LBY106_H3maize|13v2|BG320823maize505884
LBY119_H1sorghum|13v2|XM_002458388sorghum506885
LBY219_H9rice|13v2|BM422078rice507761
LBY27_H4maize|13v2|BE050333maize508762
LBY34_H2soybean|13v2|GLYMA09G42190soybean509763
LGN1wheat|12v3|BE405890wheat510764
LGN2soybean|12v1|GLYMA16G27050soybean511765
LGN3sorghum|13v2|CN131173sorghum512766
LGN4sorghum|13v2|BF587229sorghum513767
LGN5sorghum|13v2|BI643690sorghum514768
LGN6sorghum|13v2|BE598356sorghum515769
LGN7sorghum|13v2|BE363875sorghum516770
LGN9rice|gb170|OS02G48000rice517771
LGN13rice|11v1|CV722121rice518772
LGN14rice|11v1|CB663201rice519773
LGN17maize|13v2|CF647382maize520886
LGN18maize|13v2|AW562670maize521887
LGN20maize|13v2|AI920382maize522888
LGN23maize|10v1|CF011727maize523777
LGN24maize|10v1|CD943107maize524889
LGN26maize|10v1|BE051266maize525779
LGN33maize|10v1|AI857219maize526780
LGN34maize|10v1|AI691183maize527890
LGN35maize|10v1|AI668189maize528782
LGN36maize|10v1|AI666136maize529783
LGN39maize|10v1|AA979848maize530891
LGN40cotton|11v1|BG446873cotton531785
LGN41brachypodium|12v1|BRADI1G64560brachypodium532786
LGN42barley|12v1|BI951707barley533787
LGN43barley|12v1|BI946826barley534788
LGN44barley|12v1|BF626012barley535789
LGN45barley|12v1|BF624588barley536892
LGN46barley|12v1|BF619715barley537791
LGN47barley|10v2|BI948139barley538893
LGN48barley|10v2|AV833757barley539793
LGN49maize|10v1|AI901839maize540894
LGN52foxtail_millet|11v3|SOLX00022696foxtail_millet 541795
LGN54sorghum|12v1|SB01G028500sorghum542796
LGN57sorghum|13v2|BE596729sorghum543895
LGN60foxtail_millet|13v2|SRR350548X10009foxtail_millet 544798
LGN61maize|13v2|AI941989maize545896
LGN62_H2foxtail_millet|13v2|SRR350548X213481foxtail_millet 546897
LBY3foxtail_millet|11v3|PHY7SI024106Mfoxtail_millet 547
LBY4gossypium_raimondii|13v1|gossypium_raimondii548
GR13V1PRD019042
LBY5maize|13v2|AI001271maize549
LBY6maize|13v2|BQ528930maize550
LBY14sorghum|13v2|BE359338sorghum551
“polyn.” = polynucleotide; “polyp.” = polypeptide.

The concepts of orthology and paralogy have recently been applied to functional characterizations and classifications on the scale of whole-genome comparisons. Orthologs and paralogs constitute two major types of hom*ologs: The first evolved from a common ancestor by specialization, and the latter is related by duplication events. It is assumed that paralogs arising from ancient duplication events are likely to have diverged in function while true orthologs are more likely to retain identical function over evolutionary time.

To further investigate and identify putative orthologs of the genes affecting plant yield, seed yield, fiber yield, fiber quality, oil yield, oil content, seed yield, growth rate, vigor, biomass, abiotic stress tolerance, and fertilizer use efficiency (FUE) and/or nitrogen use efficiency of a plant, all sequences were aligned using the BLAST® (Basic Local Alignment Search Tool). Sequences sufficiently similar were tentatively grouped. These putative orthologs were further organized under a Phylogram—a branching diagram (tree) assumed to be a representation of the evolutionary relationships among the biological taxa. Putative ortholog groups were analyzed as to their agreement with the phylogram and in cases of disagreements these ortholog groups were broken accordingly.

Expression data was analyzed and the EST libraries were classified using a fixed vocabulary of custom terms such as developmental stages (e.g., genes showing similar expression profile through development with up regulation at specific stage, such as at the seed filling stage) and/or plant organ (e.g., genes showing similar expression profile across their organs with up regulation at specific organs such as seed). The annotations from all the ESTs clustered to a gene were analyzed statistically by comparing their frequency in the cluster versus their abundance in the database, allowing the construction of a numeric and graphic expression profile of that gene, which is termed “digital expression”. The rationale of using these two complementary methods with methods of phenotypic association studies of QTLs, SNPs and phenotype expression correlation is based on the assumption that true orthologs are likely to retain identical function over evolutionary time. These methods provide different sets of indications on function similarities between two hom*ologous genes, similarities in the sequence level -identical amino acids in the protein domains and similarity in expression profiles.

The search and identification of hom*ologous genes involves the screening of sequence information available, for example, in public databases such as the DNA Database of Japan (DDBJ), Genbank, and the European Molecular Biology Laboratory Nucleic Acid Sequence Database (EMBL) or versions thereof or the MIPS database. A number of different search algorithms have been developed, including but not limited to the suite of programs referred to as BLAST® programs. There are five implementations of BLAST®, three designed for nucleotide sequence queries (BLASTN®, BLASTX®, and TBLASTX®) and two designed for protein sequence queries (BLASTP® and TBLASTN®) (Coulson, Trends in Biotechnology: 76-80, 1994; Birren et al., Genome Analysis, I: 543, 1997). Such methods involve alignment and comparison of sequences. The BLAST® algorithm calculates percent sequence identity and performs a statistical analysis of the similarity between the two sequences. The software for performing BLAST® analysis is publicly available through the National Centre for Biotechnology Information. Other such software or algorithms are GAP, BESTFIT, FASTA and TFASTA. GAP uses the algorithm of Needleman and Wunsch (J. Mol. Biol. 48: 443-453, 1970) to find the alignment of two complete sequences that maximizes the number of matches and minimizes the number of gaps.

The hom*ologous genes may belong to the same gene family. The analysis of a gene family may be carried out using sequence similarity analysis. To perform this analysis one may use standard programs for multiple alignments e.g. Clustal W. A neighbour-joining tree of the proteins hom*ologous to the genes in this invention may be used to provide an overview of structural and ancestral relationships. Sequence identity may be calculated using an alignment program as described above. It is expected that other plants will carry a similar functional gene (ortholog) or a family of similar genes and those genes will provide the same preferred phenotype as the genes presented here. Advantageously, these family members may be useful in the methods of the invention. Example of other plants are included here but not limited to, barley (Hordeum vulgare), Arabidopsis (Arabidopsis thaliana), maize (Zea mays), cotton (Gossypium), Oilseed rape (Brassica napus), Rice (Oryza sativa), Sugar cane (Saccharum officinarum), Sorghum (Sorghum bicolor), Soybean (Glycine max), Sunflower (Helianthus annuus), Tomato (Lycopersicon esculentum), Wheat (Triticum aestivum).

The above-mentioned analyses for sequence hom*ology can be carried out on a full-length sequence, but may also be based on a comparison of certain regions such as conserved domains. The identification of such domains, would also be well within the realm of the person skilled in the art and would involve, for example, a computer readable format of the nucleic acids of the present invention, the use of alignment software programs and the use of publicly available information on protein domains, conserved motifs and boxes. This information is available in the PRODOM (biochem (dot) ucl (dot) ac (dot) uk/bsm/dbbrowser/protocol/prodomqry (dot) html), PR (pir (dot) Georgetown (dot) edu/) or Pfam (sanger (dot) ac (dot) uk/Software/Pfam/) database. Sequence analysis programs designed for motif searching may be used for identification of fragments, regions and conserved domains as mentioned above. Preferred computer programs include, but are not limited to, MEME, SIGNALSCAN, and GENESCAN.

A person skilled in the art may use the hom*ologous sequences provided herein to find similar sequences in other species and other organisms. hom*ologues of a protein encompass, peptides, oligopeptides, polypeptides, proteins and enzymes having amino acid substitutions, deletions and/or insertions relative to the unmodified protein in question and having similar biological and functional activity as the unmodified protein from which they are derived. To produce such hom*ologues, amino acids of the protein may be replaced by other amino acids having similar properties (conservative changes, such as similar hydrophobicity, hydrophilicity, antigenicity, propensity to form or break a-helical structures or 3-sheet structures). Conservative substitution tables are well known in the art (see for example Creighton (1984) Proteins. W.H. Freeman and Company). hom*ologues of a nucleic acid encompass nucleic acids having nucleotide substitutions, deletions and/or insertions relative to the unmodified nucleic acid in question and having similar biological and functional activity as the unmodified nucleic acid from which they are derived.

Polynucleotides and polypeptides with significant hom*ology to the identified genes described in Table 1 (Example 1 above) were identified from the databases using BLAST® software with the BLASTP® and tBLASTN® algorithms as filters for the first stage, and the needle (EMBOSS package) or Frame+ algorithm alignment for the second stage. Local identity (BLAST® alignments) was defined with a very permissive cutoff—60% Identity on a span of 60% of the sequences lengths because it is used only as a filter for the global alignment stage. The default filtering of the BLAST® package was not utilized (by setting the parameter “-F F”).

In the second stage, hom*ologs were defined based on a global identity of at least 80% to the core gene polypeptide sequence. Two distinct forms for finding the optimal global alignment for protein or nucleotide sequences were used in this application:

1. Between two proteins (following the BLASTP® filter): EMBOSS-6.0.1 Needleman-Wunsch algorithm with the following modified parameters: gapopen=8 gapextend=2. The rest of the parameters were unchanged from the default options described hereinabove.

2. Between a protein sequence and a nucleotide sequence (following the tBLASTN® filter):

GenCore 6.0 OneModel application utilizing the Frame+ algorithm with the following parameters: model=frame+_p2n.model mode=qglobal -q=protein. sequence -db=nucleotide.sequence. The rest of the parameters are unchanged from the default options described hereinabove.

The query polypeptide sequences were SEQ ID NOs: 552-897 and the query polynucleotides were SEQ ID NOs: 1-551 and the identified orthologous and hom*ologous sequences having at least 80% global sequence identity are provided in Table 2, below. These hom*ologous genes are expected to increase plant yield, seed yield, oil yield, oil content, growth rate, fiber yield, fiber quality, fiber length, photosynthetic capacity, biomass, vigor, ABST and/or NUE of a plant.

Lengthy table referenced here
US10975383-20210413-T00001
Please refer to the end of the specification for access instructions.

The output of the functional genomics approach described herein is a set of genes highly predicted to improve yield and/or other agronomic important traits such as growth rate, vigor, oil content, fiber yield and/or quality, biomass, photosynthetic capacity, growth rate, abiotic stress tolerance, nitrogen use efficiency, water use efficiency and fertilizer use efficiency of a plant by increasing their expression. Although each gene is predicted to have its own impact, modifying the mode of expression of more than one gene is expected to provide an additive or synergistic effect on the plant yield and/or other agronomic important yields performance. Altering the expression of each gene described here alone or set of genes together increases the overall yield and/or other agronomic important traits, hence expects to increase agricultural productivity.

In order to produce a high throughput correlation analysis, the present inventors utilized a Barley oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 47,500 Barley genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 25 different Barley accessions were analyzed. Among them, 13 accessions encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Experimental Procedures

Four tissues at different developmental stages [meristem, flower, booting spike, stem], representing different plant characteristics were sampled and RNA was extracted as described hereinabove under “GENERAL EXPERIMENTAL AND BIOINFORMATICS METHODS”.

For convenience, each micro-array expression information tissue type has received a Set ID as summarized in Table 3 below.

TABLE 3
Barley transcriptome expression sets
Expression SetSet ID
Booting spike at flowering stage 1
under normal conditions
Flowering spike at flowering stage 2
under normal conditions
Meristem at flowering stage 3
under normal conditions
Stem at flowering stage under 4
normal conditions
Table 3: Provided are the identification (ID) letters of each of the Barley expression sets.

Barley yield components and vigor related parameters assessment—13 Barley accessions in 4 repetitive blocks (named A, B, C, and D), each containing 4 plants per plot were grown at net house under normal conditions as recommended for commercial growth [normal growth conditions included irrigation given 2-3 times a week, and fertilization given in the first 1.5 months of the growth period]; under low Nitrogen (80% percent less Nitrogen); or under drought stress (cycles of drought and re-irrigating were conducted throughout the whole experiment, overall 40% less water were given in the drought treatment). Plants were phenotyped on a daily basis following the standard descriptor of barley (Table 4, below). Harvest was conducted while 50% of the spikes were dry to avoid spontaneous release of the seeds. Plants were separated to the vegetative part and spikes, of them, 5 spikes were threshed (grains were separated from the glumes) for additional grain analysis such as size measurement, grain count per spike and grain yield per spike. All material was oven dried and the seeds were threshed manually from the spikes prior to measurement of the seed characteristics (weight and size) using scanning and image analysis. The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

TABLE 4
Barley standard descriptors
TraitParameterRangeDescription
Growth Scoring1-9Prostrate (1)
habitor Erect (9)
Hairiness ofScoringP (Presence)/Absence (1)
basal leavesA (Absence)or Presence (2)
StemScoring1-5Green (1), Basal only
pigmentationor Half or more (5)
Days toDaysDays from sowing to
Floweringemergence of awns
Plant heightCentimeter Height from
(cm)ground level to
top of the longest
spike excluding
awns
Spikes NumberTerminal
per plantCounting
Spike Centimeter Terminal Counting
length(cm)5 spikes per plant
Grains NumberTerminal Counting
per spike5 spikes per plant
Vegetative GramOven-dried for
dry weight48 hours at 70° C.
Spikes dryGramOven-dried for
weight48 hours at 30° C.
Table 4

At the end of the experiment (50% of the spikes were dry) all spikes from plots within blocks A-D were collected, and the following measurements were performed:

(i) Grains per spike—The total number of grains from 5 spikes that were manually threshed was counted. The average grain per spike was calculated by dividing the total grain number by the number of spikes.

(ii) Grain average size (cm)—The total grains from 5 spikes that were manually threshed were scanned and images were analyzed using the digital imaging system. Grain scanning was done using Brother scanner (model DCP-135), at the 200 dpi resolution and analyzed with Image J software. The average grain size was calculated by dividing the total grain size by the total grain number.

(iii) Grain average weight (mgr)—The total grains from 5 spikes that were manually threshed were counted and weight. The average weight was calculated by dividing the total weight by the total grain number.

(iv) Grain yield per spike (gr) (=seed yield of 5 spikes)—The total grains from 5 spikes that were manually threshed were weight. The grain yield was calculated by dividing the total weight by the spike number.

(v) Spike length analysis—The five chosen spikes per plant were measured using measuring tape excluding the awns.

(vi) Spike number analysis—The spikes per plant were counted.

Additional parameters were measured as follows:

Growth habit scoring—At growth stage 10 (booting), each of the plants was scored for its growth habit nature. The scale that was used was “1” for prostate nature till “9” for erect.

Hairiness of basal leaves—At growth stage 5 (leaf sheath strongly erect; end of tillering), each of the plants was scored for its hairiness nature of the leaf before the last. The scale that was used was “1” for prostate nature till “9” for erect.

Plant height—At harvest stage (50% of spikes were dry), each of the plants was measured for its height using measuring tape. Height was measured from ground level to top of the longest spike excluding awns.

Days to flowering—Each of the plants was monitored for flowering date. Days of flowering were calculated from sowing date till flowering date.

Stem pigmentation—At growth stage 10 (booting), each of the plants was scored for its stem color. The scale that was used was “1” for green till “5” for full purple.

Vegetative dry weight and spike yield—At the end of the experiment (50% of the spikes were dry) all spikes and vegetative material from plots within blocks A-D were collected. The biomass and spikes weight of each plot was separated, measured and divided by the number of plants.

Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours;

Spike yield per plant=total spike weight per plant (gr) after drying at 30° C. in oven for 48 hours.

TABLE 5
Barley correlated parameters (vectors)
Correlated parameter withCorrelation ID
Grain weight [milligrams]1
Grains size [mm2]2
Grains per spike [numbers]3
Growth habit [scores 1-9]4
Hairiness of basal leaves [scoring 1-2]5
Plant height (cm)6
Seed yield of 5 spikes [gr/spike]7
Spike length [cm]8
Spikes per plant [numbers]9
Stem pigmentation [scoring 1-5]10
Vegetative dry weight [gram]11
Days to flowering [days]12
Table 5. Provided are the Barley correlated parameters (vectors).

13 different Barley accessions were grown and characterized for 12 parameters as described above. The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 6 and 7 below. Subsequent correlation analysis between the various transcriptome expression sets (Table 3) and the average parameters was conducted. Follow, results were integrated to the database (Table 8 below).

TABLE 6
Measured parameters of correlation Ids in Barley accessions
Eco-
type/
Treat-Line-Line-Line-Line-Line-Line-Line-
ment1234567
135.0528.0628.7617.8741.2229.7325.22
20.270.230.240.170.290.280.22
320.2317.9817.2717.7314.4716.7812.12
42.602.001.923.174.332.693.60
51.531.331.691.081.421.691.30
6134.27130.50138.77114.58127.75129.38103.89
73.562.542.581.573.032.521.55
812.0410.9311.839.9011.6811.538.86
948.8548.2737.4261.9233.2741.6940.00
101.132.501.691.752.332.311.70
1178.8766.1468.4953.3968.3074.1735.35
1262.4064.0865.1558.9263.0070.5452.80
Table 6. Provided are the values of each of the parameters measured in Barley accessions (1-7) according to the correlation identifications (see Table 5).
TABLE 7
Barley accessions, additional measured parameters
Ecotype/Line-Line-Line-Line-Line-Line-
Treatment8910111213
134.9920.5827.5037.1329.5619.58
20.280.190.220.270.270.18
314.0721.5412.1013.4015.2817.07
43.503.003.672.473.503.00
51.191.001.171.601.081.17
6121.63126.8099.83121.40118.42117.17
72.622.301.682.682.351.67
811.2211.118.5810.1810.519.80
940.6362.0049.3350.6043.0951.40
102.192.301.833.071.582.17
1158.3362.2338.3268.3156.1542.68
1260.8858.1053.0060.4064.5856.00
Table 7. Provided are the values of each of the parameters measured in Barley accessions (8-13) according to the correlation identifications (see Table 5).
TABLE 8
Correlation between the expression level of selected genes of some
embodiments of the invention in various tissues and the phenotypic
performance undernormal fertilization conditions across barley accessions
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY200.721.32E−0239LBY210.812.27E−0312
LBY210.757.63E−0311LBY220.749.92E−0337
LBY250.757.51E−0339LBY260.883.49E−0432
LBY260.831.63E−0331LBY260.721.19E−0237
LBY260.812.69E−03312 LBY290.711.47E−02312 
LBY300.784.36E−0339LBY310.796.50E−03210 
LBY320.884.12E−0412LBY320.875.83E−0411
LBY320.701.56E−0239LGN420.866.89E−0439
LGN430.748.67E−0319LGN430.721.20E−0213
Table 8. Provided are the correlations (R) between the gene expression levels in various tissues and the phenotypic performance “Corr. ID”—correlation set ID according to the correlated parameters specified in Table 86. “Exp. Set”—Expression set specified in Table 84. “R” = Pearson correlation coefficient; “P” = p value.

In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a Barley oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 60K Barley genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 15 different Barley accessions were analyzed. Among them, 10 accessions encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Analyzed Barley tissues—six tissues at different developmental stages [leaf, meristem, root tip, adventitious root, booting spike and stem], representing different plant characteristics, were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Tables 9-11 below.

TABLE 9
Barley transcriptome expression sets
under drought and recovery conditions
Expression SetSet ID
Booting spike under 1
drought conditions
Leaf at reproductive stage 2
under drought conditions
Leaf at vegetative stage 3
under drought conditions
Meristem at vegetative stage 4
under drought conditions
Root tip at vegetative stage 5
under drought conditions
Root tip at vegetative 6
stage under recovery
from drought conditions
Table 9. Provided are the barley transcriptome expression sets under drought and recovery conditions.
TABLE 10
Barley transcriptome expression
sets under normal and low
nitrogen conditions (set 1)
Expression SetSet ID
Adventitious roots under 1
low nitrogen conditions
Adventitious roots 2
under normal conditions
Leaf under low nitrogen 3
conditions
Leaf under normal 4
conditions
Root tip under low 5
nitrogen conditions
Root tip under normal 6
conditions
Table 10. Provided are the barley transcriptome expression sets under normal and low nitrogen conditions (set 1-vegetative stage).
TABLE 11
Barley transcriptome expression
sets under normal and low
nitrogen conditions (set 2)
Expression SetSet ID
Booting spike under low 1
nitrogen conditions
Booting spike under 2
normal conditions
Leaf under low 3
nitrogen conditions
Leaf under normal 4
conditions
Stem under low nitrogen 5
conditions
Stem under normal 6
conditions
Table 11. Provided are the barley transcriptome expression sets under normal and low nitrogen conditions (set 2-reproductive stage).

Barley yield components and vigor related parameters assessment—15 Barley accessions in 5 repetitive blocks, each containing 5 plants per pot were grown at net house. Three different treatments were applied: plants were regularly fertilized and watered during plant growth until harvesting as recommended for commercial growth under normal conditions [normal growth conditions included irrigation 2-3 times a week and fertilization given in the first 1.5 months of the growth period]; under low Nitrogen (80% percent less Nitrogen); or under drought stress (cycles of drought and re-irrigating were conducted throughout the whole experiment, overall 40% less water as compared to normal conditions were given in the drought treatment). Plants were phenotyped on a daily basis following the standard descriptor of barley (Tables 12-15, below). Harvest was conducted while all the spikes were dry. All material was oven dried and the seeds were threshed manually from the spikes prior to measurement of the seed characteristics (weight and size) using scanning and image analysis. The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Grain yield (gr.)—At the end of the experiment all spikes of the pots were collected. The total grains from all spikes that were manually threshed were weighted. The grain yield was calculated by per plot or per plant.

Spike length and width analysis—At the end of the experiment the length and width of five chosen spikes per plant were measured using measuring tape excluding the awns.

Spike number analysis—The spikes per plant were counted.

Plant height—Each of the plants was measured for its height using a measuring tape. Height was measured from ground level to top of the longest spike excluding awns at two time points at the Vegetative growth (30 days after sowing) and at harvest.

Spike weight—The biomass and spikes weight of each plot were separated, measured and divided by the number of plants.

Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours at two time points at the Vegetative growth (30 days after sowing) and at harvest.

Spikelet per spike=number of spikelets per spike was counted.

Root/Shoot Ratio—The Root/Shoot Ratio is calculated using Formula XXII (above).

Total No. of tillers—all tillers were counted per plot at two time points at the Vegetative growth (30 days after sowing) and at harvest.

Percent of reproductive tillers—was calculated based on Formula XXVI (above).

SPAD [SPAD unit]—Chlorophyll content was determined using a Minolta

SPAD 502 chlorophyll meter and measurement was performed at time of flowering. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.

Root FW (gr.), root length (cm) and No. of lateral roots—3 plants per plot were selected for measurement of root weight, root length and for counting the number of lateral roots formed.

Shoot FW (fresh weight)—weight of 3 plants per plot were recorded at different time-points.

Average Grain Area (cm2)—At the end of the growing period the grains were separated from the spike. A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

Average Grain Length and width (cm)—At the end of the growing period the grains were separated from the spike. A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths or width (longest axis) was measured from those images and was divided by the number of grains

Average Grain perimeter (cm)—At the end of the growing period the grains were separated from the spike. A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain perimeter was measured from those images and was divided by the number of grains.

Heading date—the day in which booting stage was observed was recorded and number of days from sowing to heading was calculated.

Relative water content—was calculated based on Formula I.

Harvest Index (for barley)—The harvest index is calculated using Formula XVIII (above).

Relative growth rate: the relative growth rates (RGR) of Plant Height, SPAD and number of tillers were calculated based on Formulas III, IV and V respectively.

RATIO Drought/Normal: Represent ratio for the specified parameter of Drought condition results divided by Normal conditions results (maintenance of phenotype under drought in comparison to normal conditions).

Data parameters collected are summarized in Table 12-15, hereinbelow

TABLE 12
Barley correlated parameters (vectors)
under drought and recovery conditions
Correlation
Correlated parameter withID
Chlorophyll levels SPAD [unit]1
Dry weight at harvest [gr]2
Dry weight vegetative 3
growth [gr/day]
Fresh weight [gr]4
Grain number [num]5
Grain weight [gr]6
Harvest index 7
[yield/(yield + biomass)]
Heading date [days]8
Height Relative growth 9
rate [cm/day]
Number of tillers Relative 10
growth rate [num/day]
Plant height T2 [cm]11
Root/shoot [ratio]12
Relative water content [%]13
Root dry weight [gr]14
Root fresh weight [gr]15
Root length [cm]16
SPAD Relative growth rate 17
SPAD [unit/day]
Spike length [cm]18
Spike number [num]19
Spike weight per plant [gr]20
Spike width [cm]21
Tillers number T2 [num]22
Lateral root number [num]23
Table 12. Provided are the barley correlated parameters.
TABLE 13
Barley correlated parameters (vectors) for maintenance
of performance under drought conditions
Correlated Correlation
parameter withID
Chlorophyll 1
levels [ratio]
Dry weight at 2
harvest [ratio]
Dry weight vegetative 3
growth [ratio]
Fresh weight [ratio]4
Grain number [ratio]5
Grain weight [ratio]6
Harvest index [ratio]7
Heading date [ratio]8
Plant height [ratio]9
Root/shoot [ratio]10
Relative water 11
content [ratio]
Root dry weight [ratio]12
Root fresh weight [ratio]13
Root length [ratio]14
Spike length [ratio]15
Spike number [ratio]16
Spike weight per 17
plant [ratio]
Spike width [ratio]18
Tillers number [ratio]19
Lateral root 20
number [ratio]
Table 13. Provided are the barley correlated parameters. “ratio”-ratio for the specified parameter of Drought condition results divided by Normal conditions results (maintenance of phenotype under drought in comparison to normal conditions.
TABLE 14
Barley correlated parameters (vectors) under
low nitrogen and normal conditions (set 1)
Correlation
Correlated parameter withID
Lateral Roots under Normal growth conditions [number]1
Leaf Area, under Normal growth conditions [mm2]2
Leaf Number, TP4, under Low N 3
growth conditions [number]
Max Length, under Normal growth conditions [mm]4
Max Width, under Normal growth conditions [mm]5
Max Length, TP4, under Low N growth conditions [mm]6
Max Width, TP4, under Low N growth conditions [mm]7
No of lateral roots, under Low N 8
growth conditions, TP2 [number]
No of tillers, under Low N growth conditions, TP2 [number]9
Num Leaves, under Normal growth conditions [number]10
Num Seeds, under Normal growth conditions [number]11
Number of Spikes, under Normal 12
growth conditions [number]
Num Tillers, under Normal growth conditions[number]13
Plant Height, under Normal growth conditions, T2 [cm]14
Plant Height, under Low N growth conditions [cm]15
Plant Height, under Low N growth conditions, TP2 [cm]16
Root FW, under Normal growth conditions [gr.]17
Root Length, under Normal growth conditions [cm]18
Root FW, under Low N growth conditions, TP2 [gr.]19
Root length, under Low N growth conditions, TP2 [cm]20
SPAD, under Normal growth conditions SPAD [unit]21
SPAD, under Low N growth conditions, TP2 SPAD [unit]22
Seed Yield, under Normal growth conditions [gr.]23
Seed Number (per plot) under Low N 24
growth conditions [number]
Seed Yield, under Low N growth conditions [gr.]25
Seed Yield, under Normal growth conditions [gr.]26
Shoot FW, under Normal growth conditions [gr.]27
Spike Length, under Normal growth conditions [cm]28
Spike Width, under Normal growth conditions [cm]29
Spike weight, under Normal growth conditions [gr.]30
Spike Length, under Low N growth conditions [cm]31
Spike Width, under Low N growth conditions [cm]32
Spike total weight (per plot) under Low N 33
growth conditions [gr.]
Total Tillers, under Normal growth conditions [number]34
Total Leaf Area, TP4, under 35
Low N growth conditions [mm2]
Total No of Spikes (per plot) under Low N 36
growth conditions [number]
Total No of tillers (per plot) under Low N 37
growth conditions [number]
Shoot FW, under Low N growth conditions, TP2 [gr.]38
Table 14. Provided are the barley correlated parameters. “TP” = time point; “DW” = dry weight; “FW” = fresh weight; “Low N” = Low Nitrogen; “Normal” = regular growth conditions. “Max” = maximum.
TABLE 15
Barley correlated parameters (vectors) under
low nitrogen and normal conditions (set 2)
CorrelatedCorrelation
parameter withID
Grain Perimeter (cm)1
Grain area (cm2)2
Grain length (cm)3
Grain width (cm)4
Grains DW/Shoots DW (ratio)5
Grains per plot (number)6
Grains weight per plant (gr.)7
Grains weight per plot (gr.)8
Plant Height (cm)9
Roots DW (mg)10
Row number (number)11
Spikes FW (Harvest) (gr.)12
Spikes num (number)13
Tillering (Harvest) (number)14
Vegetative DW (Harvest) (gr.)15
percent of reproductive tillers (%)16
shoot/root ratio (ratio)17
Table 15. Provided are the barley correlated parameters. “TP” = time point; “DW” = dry weight; “FW” = fresh weight; “Low N” = Low Nitrogen; “Normal” = regular growth conditions. “Max” = maximum. Note that each of the parameters described in this Table was measured under both low N growth conditions and normal growth conditions.

15 different Barley accessions were grown and characterized for different parameters as described above. Tables 12-15 above describe the Barley correlated parameters. The average for each of the measured parameters was calculated using the JMP software and values are summarized in Tables 16-25 below. Subsequent correlation analysis between the various transcriptome sets and the average parameters (Tables 16-25) was conducted. Follow, results were integrated to the database (Tables 26-29).

TABLE 16
Measured parameters of correlation IDs in Barley
accessions under drought and recovery conditions
Corr.
ID/
Line123456789101112
Line-141.33 6.150.211.90170.005.550.4775.000.270.07046.000.013
Line-233.575.050.211.52267.509.800.6671.000.860.09752.800.012
Line-336.573.201.17111.003.550.5365.000.730.05935.000.008
Line-440.503.281.95205.337.200.690.880.07138.000.006
Line-545.074.761.90153.605.280.5366.750.400.16445.200.025
Line-639.733.550.171.22252.507.750.6990.000.940.06148.000.020
Line-738.334.521.75288.409.920.6990.000.700.10437.670.008
Line-836.173.381.58274.5010.250.750.710.04941.200.008
Line-942.135.670.251.88348.508.500.6090.000.770.10040.800.012
Line-1031.773.311.73358.0014.030.810.800.06149.860.007
Line-1133.472.651.00521.3917.520.870.920.06343.000.016
Line-1242.375.120.130.9071.502.050.2990.000.390.18347.400.023
Line-1342.276.860.190.90160.135.380.4481.600.880.14964.800.012
Line-1436.773.110.221.43376.6711.000.7890.000.130.02252.600.012
Line-1540.633.740.83105.002.560.410.200.44232.000.026
Table 16. Provided are the values of each of the parameters (as described above in Table 12) measured in Barley accessions (line) under drought growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 17
Additional measured parameters of correlation IDs in Barley
accessions under drought and recovery conditions
Corr.
ID/
Line1314151617181920212223
Line-180.6077.522.0721.670.08716.704.2017.728.6411.688.33
Line-253.4060.191.4820.330.12316.854.3624.249.079.048.67
Line-355.8727.131.1222.000.00113.277.6018.207.8210.927.33
Line-418.621.8724.000.01013.558.4418.007.3210.167.67
Line-543.21117.421.6720.670.03714.194.9219.508.7410.326.67
Line-669.7870.721.6818.330.07215.643.4315.007.628.786.67
Line-745.4937.341.6221.000.01315.666.9023.406.9813.007.67
Line-876.5125.560.8520.330.00317.495.8028.168.057.446.67
Line-987.4166.181.4521.670.06316.008.5521.966.0613.926.00
Line-1022.131.3819.670.03518.319.6733.036.7311.008.67
Line-1141.120.8216.670.05017.425.4234.809.556.787.67
Line-1258.32116.950.5817.000.00414.233.0511.737.848.456.33
Line-1380.5884.100.6315.170.07214.814.0718.787.819.157.00
Line-1473.0937.461.0727.000.02516.543.7221.008.355.127.00
Line-1598.860.7015.000.06312.723.219.885.4716.136.67
Table 17. Provided are the values of each of the parameters (as described above in Table 12) measured in Barley accessions (line) under drought growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 18
Measured parameters of correlation IDs in Barley accessions)
for maintenance of performance under drought conditions
Corr. ID/
Line12345678910
Line-10.980.610.930.600.120.080.540.000.511.55
Line-20.720.450.710.500.220.170.791.120.610.97
Line-31.300.590.000.470.110.060.581.300.671.12
Line-41.060.670.000.680.190.140.750.000.720.56
Line-51.030.410.000.460.170.150.701.000.611.72
Line-60.950.540.650.470.210.140.771.060.591.97
Line-70.820.750.000.580.220.150.751.370.700.67
Line-80.930.650.920.620.240.200.831.220.630.96
Line-90.930.771.010.740.250.140.670.000.661.14
Line-100.800.800.000.580.470.920.871.08
Line-110.940.680.000.810.430.320.930.861.38
Line-120.960.420.940.720.100.070.411.200.641.84
Line-131.010.650.000.370.100.070.501.000.791.31
Line-140.930.520.700.400.280.200.870.562.06
Line-151.030.460.000.430.320.820.511.46
Table 18. Provided are the values of each of the parameters (as described above in Table 13) measured in Barley accessions (line) for maintenance of performance under drought (calculated as % of change under drought vs. normal growth conditions). Growth conditions are specified in the experimental procedure section.
TABLE 19
Additional measured parameters of correlation IDs in Barley accessions)
for maintenance of performance under drought conditions
Corr. ID/
Line1112131415161718191920
Line-10.780.941.100.660.830.730.160.751.871.871.09
Line-20.580.441.000.740.820.960.230.771.571.570.74
Line-30.900.661.021.160.861.110.190.681.721.720.79
Line-40.000.371.670.780.771.300.230.671.801.800.88
Line-50.650.710.800.760.780.830.250.871.601.600.71
Line-60.561.060.810.760.940.620.180.661.611.610.65
Line-70.780.501.130.680.830.870.230.751.631.630.85
Line-80.830.620.340.770.891.120.340.741.591.590.77
Line-90.500.880.851.120.781.090.220.741.751.750.58
Line-100.870.580.560.941.090.680.861.331.330.96
Line-110.000.940.070.420.880.920.550.851.621.620.88
Line-120.000.771.060.820.770.490.180.791.331.330.95
Line-130.780.850.300.430.860.650.180.721.401.400.78
Line-140.551.060.440.710.970.990.270.721.221.220.66
Line-150.680.930.800.780.520.250.881.961.960.87
Table 19. Provided are the values of each of the parameters (as described above in Table 13) measured in Barley accessions (line) for maintenance of performance under drought (calculated as % of change under drought vs. normal growth conditions). Growth conditions are specified in the experimental procedure section.
TABLE 20
Measured parameters of correlation IDs in Barley accessions) under
low nitrogen and normal conditions (set 1)
Line/Line-Line-Line-Line-Line-Line-Line-Line-Line-Line-
Corr. ID12345678910
 38.008.007.508.5010.0011.508.606.337.5010.00
 6102.90107.78111.57142.42152.38149.33124.0895.00124.12135.17
 75.255.175.125.305.205.335.325.105.155.10
 85.006.004.336.006.336.006.674.675.677.33
 90.000.000.000.000.000.000.000.000.000.00
1541.0082.0061.4059.4065.8047.8053.8056.4081.8044.60
1616.3318.8317.3326.0022.5018.1719.6719.8319.1719.17
190.380.230.120.400.880.500.430.320.300.55
2024.6721.6722.0021.6722.1723.0030.5022.8323.8324.50
2224.0323.3026.4723.9026.6323.2025.4324.2325.0326.07
24230.20164.6088.25133.60106.00222.60219.20143.45201.80125.00
259.767.313.305.066.029.747.355.807.836.29
2646.3719.8110.8422.5830.3054.1336.9842.0435.3738.25
3115.1919.6116.3019.3290.2216.4420.4418.8418.7716.65
327.958.139.434.949.607.167.068.5110.019.40
3313.7413.449.1511.6411.3415.0612.1810.9512.1810.62
3539.4046.2751.5157.0767.7864.1552.4246.1568.0257.91
3612.209.0011.6025.007.8014.5015.007.005.408.40
3716.2014.6016.0020.7512.5018.8021.2011.006.7514.00
380.430.430.330.580.780.530.450.430.500.62
Table 20. Provided are the values of each of the parameters (as described above in Table 14) measured in Barley accessions (line) under low N and normal growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 21
Measured parameters of correlation IDs in Barley accessions) under normal conditions (set 1)
Line/Line-Line-Line-Line-Line-Line-Line-Line-Line-Line-
Corr. ID1 23456 78910
 17.008.678.339.6710.709.679.678.6710.009.67
 2294.0199.0273.0276.0313.0309.0259.0291.0299.0296.0
 4502.0348.0499.0594.0535.0551.0479.0399.0384.0470.0
 55.775.455.806.034.635.335.835.435.756.03
1024.218.222.725.523.228.322.219.017.322.0
111090.0510.0242.0582.0621.01070.0903.0950.0984.0768.0
1241.532.036.071.434.245.649.828.019.338.0
132.002.001.002.332.333.332.331.331.331.67
1464.784.067.482.072.056.665.862.891.666.2
170.270.270.250.350.620.270.350.320.230.27
1821.3015.0021.8020.3027.2016.0024.0013.5021.5015.20
2139.1041.4035.2033.7034.2042.8037.0036.9035.0036.80
2346.419.810.822.630.354.137.042.035.438.3
272.171.901.253.0015.603.022.581.752.181.82
2816.519.218.320.417.219.120.321.716.516.1
299.549.058.256.5510.508.837.3810.4010.2010.30
3069.4039.4034.9050.3060.8079.1062.7060.0055.9059.70
3446.741.640.048.834.648.649.229.027.538.8
Table 21. Provided are the values of each of the parameters (as described above in Table 15) measured in Barley accessions (line) under normal growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 22
Measured parameters of correlation IDs in Barley accessions) under normal conditions (set 2)
Line/ Line-Line-Line-Line-Line-Line-Line-Line-
Corr. ID1 23456 78
 12.2392.2432.1822.0472.0832.0282.2471.878
 20.2460.2410.2380.2320.2370.2480.2440.218
 30.8870.8740.8630.7960.8250.7780.9010.717
 40.3520.3500.3500.3690.3650.4060.3460.387
 50.3980.1561.0100.7930.4130.9870.6650.614
 6683.4510.51093.5767.6621.01069.0987.8903.2
 76.653.969.277.656.0610.837.947.40
 833.2419.8146.3738.2530.3054.1339.6936.98
 976.4084.0064.6766.2072.0056.6068.0065.80
10118.30150.6886.2885.19120.3190.7040.5890.51
116.06.06.06.06.02.86.02.0
1269.8439.8669.4059.7260.8379.1263.5062.74
1338.6032.0041.5038.0034.2045.6030.0049.80
1444.2541.6046.6738.8034.6048.6032.4055.20
1589.2099.6545.7949.3974.3255.1147.2960.32
1682.3077.7586.6994.2389.7493.7389.4990.27
171.480.640.840.821.150.691.260.72
Table 22. Provided are the values of each of the parameters (as described above in Table 15) measured in Barley accessions (line) under normal growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 23
Additional measured parameters of correlation IDs in Barley
accessions) under normal conditions (set 2)
Line/Line-Line-Line-Line-Line-Line-Line-
Corr. ID9101112131415
 12.0942.0282.0181.9841.6881.9791.891
 20.2320.2230.2350.2130.1770.1910.174
 30.8230.7940.7970.7990.6500.8240.773
 40.3590.3560.3740.3370.3460.2940.287
 50.2821.0370.1160.8590.5760.0500.079
 6581.8904.4242.4928.4984.2157.7263.3
 74.528.412.008.057.070.751.14
 822.5839.6810.8440.2635.373.735.68
 982.0062.8067.4076.2091.6044.0052.75
1092.5963.95286.6395.7934.04121.27206.75
112.05.26.06.06.04.74.0
1250.3059.9534.9260.0855.8816.9321.70
1371.4028.0036.0027.6023.6054.6748.00
1450.6029.0040.0028.5027.5026.00
1588.0138.8997.7148.3362.5257.9772.78
1691.2192.5091.7385.31
171.170.710.380.512.160.670.39
Table 23. Provided are the values of each of the parameters (as described above in Table 15) measured in Barley accessions (line) under normal growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 24
Measured parameters of correlation IDs in Barley accessions)
under low nitrogen conditions (set 2)
Line/Line-Line-Line-Line-Line-Line-Line-
Corr. ID1 23456 7
 12.282.332.282.082.131.962.09
 20.2500.2510.2550.2350.2490.2270.227
 30.900.920.930.820.860.760.83
 40.3510.3460.3490.3640.3660.3810.347
 50.390.421.250.690.430.870.77
 6153.2164.6230.2125.0100.0222.6159.4
 71.341.461.951.261.131.951.28
 86.687.319.766.295.679.746.40
 975.2082.0041.0044.6065.8047.8060.60
1039.9126.2417.3132.9133.8783.8429.65
116.06.06.06.06.02.06.0
1211.4013.4413.7410.6211.3415.0611.64
1310.809.0012.208.407.8014.508.40
1416.0014.6016.2014.0012.5018.8011.60
1517.4217.768.257.2813.2511.328.95
1668.6861.8576.9459.6365.6379.8473.85
170.691.080.770.380.830.420.28
Table 24. Provided are the values of each of the parameters (as described above in Table 15) measured in Barley accessions (line) under low N growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 25
Additional measured parameters of correlation IDs in Barley accessions)
under low nitrogen conditions (set 2)
Line/Line-Line-Line-Line-Line-Line-Line-Line-
Corr. ID89101112131415
 11.882.191.882.032.111.772.001.90
 20.2050.2350.2010.2220.2340.1930.1900.170
 30.730.860.730.810.850.680.810.79
 40.3550.3450.3490.3480.3480.3600.2950.275
 50.530.340.870.150.580.760.050.07
 6219.2133.6134.488.3174.3201.886.761.6
 71.470.981.160.921.331.570.290.22
 87.355.065.434.626.677.831.441.12
 953.8059.4056.4061.4065.6081.8069.0057.40
1037.2144.3814.4641.5423.7520.8749.6954.02
112.02.05.26.06.06.02.02.0
1212.1811.648.769.1512.4212.185.685.04
1315.0025.007.0011.607.605.4016.4012.00
1421.2023.5011.0016.0010.756.7535.00
1514.1815.686.4255.9211.5410.8858.9217.05
1671.0195.8364.8768.7574.2481.4037.14
170.570.600.552.881.360.892.490.40
Table 25. Provided are the values of each of the parameters (as described above in Table 15) measured in Barley accessions (line) under low N growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 26
Correlation between the expression level of selected genes of some
embodiments of the invention in various tissues and the phenotypic
performance under drought stress conditions across Barley accessions
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY180.731.00E−01123LBY180.705.29E−02311
LBY180.792.04E−02312LBY180.774.21E−02223
LBY180.821.32E−02511LBY180.801.75E−02514
LBY190.821.19E−02319LBY190.755.33E−0227
LBY190.755.10E−02221LBY190.822.51E−0225
LBY190.832.12E−0226LBY190.717.32E−0229
LBY190.774.11E−02212LBY190.745.55E−02220
LBY200.75 8.51E−0217LBY200.891.89E−02111
LBY200.891.78E−02118LBY200.711.15E−0115
LBY200.796.03E−0216LBY200.862.77E−02120
LBY200.914.26E−03223LBY210.749.14E−02111
LBY210.786.50E−02120LBY210.751.94E−0264
LBY220.884.03E−03319LBY220.841.87E−02211
LBY220.726.63E−02223LBY220.745.84E−02220
LBY220.761.66E−02419LBY230.901.56E−02111
LBY230.805.62E−02118LBY230.911.09E−0215
LBY230.824.70E−0216LBY230.758.69E−02120
LBY230.832.12E−02212LBY230.754.98E−02214
LBY240.824.61E−02111LBY240.777.62E−02116
LBY240.748.98E−02118LBY240.767.93E−0211
LBY240.721.06E−01120LBY240.761.81E−0267
LBY240.80 1.01E−0265LBY240.817.77E−0366
LBY240.722.75E−02620LBY240.815.18E−0258
LBY240.809.03E−03419LBY240.809.83E−03422
LBY240.713.05E−0244LBY250.767.88E−02513
LBY260.824.74E−02111LBY260.824.40E−02118
LBY260.701.20E−0116LBY260.953.89E−03112
LBY260.834.04E−0212LBY260.936.61E−03114
LBY260.777.07E−02120LBY260.764.81E−0225
LBY260.754.99E−02212LBY260.755.45E−02214
LBY260.714.76E−02519LBY260.777.38E−0258
LBY260.801.73E−0254LBY260.844.32E−03422
LBY260.809.77E−0344LBY260.742.27E−02415
LBY270.921.01E−02121LBY270.783.87E−02313
LBY270.755.29E−0268LBY280.796.17E−02111
LBY280.805.60E−02123LBY280.777.31E−0216
LBY280.739.69E−02120LBY280.821.34E−02319
LBY280.762.86E−0237LBY280.832.22E−02211
LBY280.772.68E−02519LBY280.835.45E−03419
LBY280.751.89E−02422LBY290.721.10E−01117
LBY290.724.59E−02319LBY290.732.52E−0261
LBY290.803.08E−02211LBY290.803.11E−02223
LBY300.872.34E−02116LBY300.758.62E−0219
LBY300.777.08E−0211LBY300.753.10E−02321
LBY300.781.30E−0267LBY300.872.10E−0365
LBY300.909.76E−0466LBY300.915.90E−04620
LBY300.803.14E−02216LBY300.812.64E−0221
LBY310.857.08E−0334LBY310.752.03E−0267
LBY310.881.74E−0365LBY310.891.41E−0366
LBY310.841.87E−0268LBY310.742.29E−02620
LBY310.755.39E−0225LBY310.951.31E−03212
LBY310.801.63E−02517LBY310.771.62E−02419
LBY320.714.86E−02320LBY320.851.61E−02221
LBY320.851.58E−0248LGN420.805.78E−0217
LGN420.796.30E−02118LGN420.758.76E−02120
LGN420.866.55E−03321LGN420.713.31E−0265
LGN420.713.13E−0266LGN420.831.07E−02511
LGN420.733.93E−02514LGN420.774.47E−02413
LGN430.749.43E−02121LGN430.862.70E−02123
LGN430.814.93E−02117LGN430.821.34E−02321
LGN430.742.25E−02619LGN430.764.63E−02216
LGN440.921.02E−02112LGN440.872.37E−0212
LGN440.928.31E−03114LGN440.772.62E−02312
LGN440.713.34E−02421LGN450.791.19E−02615
LGN450.958.48E−04216LGN450.717.10E−0221
LGN460.901.32E−02112LGN460.882.20E−021 2
LGN460.928.53E−03114LGN460.724.39E−02319
LGN460.791.98E−0235LGN460.861.24E−0238
LGN460.733.86E−02320LGN460.812.88E−0222
LGN460.896.58E−03214LGN460.732.43E−02419
LGN470.834.18E−02116LGN470.821.20E−02320
LGN470.752.07E−02614LGN470.732.66E−0261
LGN470.717.40E−0227LGN470.871.16E−02221
LGN470.745.78E−0225LGN470.774.14E−0226
LGN470.717.14E−02217LGN470.851.45E−02212
LGN470.831.97E−02220LGN470.734.03E−02510
LGN470.777.12E−02513LGN470.762.91E−0252
LGN470.974.74E−05514LGN470.733.92E−0251
LGN470.851.64E−02413LGN470.801.00E−02414
LGN470.933.28E−0441LGN480.724.35E−02318
LGN480.724.29E−0236LGN480.875.41E−03320
LGN480.745.87E−02221LGN480.834.06E−02513
Table 26 Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID“—correlation set ID according to the correlated parameters specified in Table 12. “Exp. Set”—Expression set specified in Table 9. “R” = Pearson correlation coefficient; “P” = p value.
TABLE 27
Correlation between the expression level of selected genes of some embodiments
of the invention in various tissues and the phenotypic performance of
maintenance of performance under drought conditions across Barley accessions
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY10.786.96E−02115LBY10.921.31E−03315
LBY10.897.36E−03216LBY180.853.23E−0211
LBY180.953.79E−03114LBY180.772.63E−02310
LBY190.772.60E−02316LBY190.745.55E−0229
LBY190.707.88E−02218LBY190.782.17E−0251
LBY200.795.90E−0216LBY200.796.23E−02117
LBY200.786.89E−0215LBY200.739.86E−02118
LBY200.795.92E−0217LBY200.736.22E−0226
LBY200.736.40E−02217LBY200.736.33E−02215
LBY200.831.96E−02220LBY200.707.89E−0229
LBY200.772.50E−0256LBY200.714.90E−02517
LBY200.782.28E−0255LBY210.834.21E−0216
LBY210.901.51E−02117LBY210.945.11E−03115
LBY210.796.41E−0215LBY210.749.34E−0219
LBY210.786.99E−02118LBY210.936.84E−04315
LBY210.906.41E−03216LBY210.743.64E−0255
LBY210.772.48E−02512LBY220.791.95E−0232
LBY220.905.10E−0326LBY220.898.08E−03217
LBY220.923.00E−0325LBY220.879.93E−0329
LBY220.889.01E−03218LBY220.811.48E−02515
LBY220.771.49E−0246LBY220.732.43E−02417
LBY220.761.78E−0245LBY230.805.42E−0216
LBY230.749.18E−02117LBY230.882.12E−0215
LBY230.882.11E−02118LBY230.891.70E−0212
LBY230.758.32E−02112LBY230.832.22E−0234
LBY230.721.04E−0124LBY230.857.72E−0351
LBY240.721.07E−01117LBY240.805.62E−02119
LBY240.833.95E−02113LBY240.743.62E−02314
LBY240.734.01E−02313LBY240.774.45E−0268
LBY240.752.09E−0267LBY240.882.23E−02211
LBY240.791.89E−02519LBY240.742.36E−0242
LBY250.734.10E−02512LBY260.701.21E−0116
LBY260.721.06E−0117LBY260.801.61E−02315
LBY260.743.77E−02314LBY260.713.31E−02613
LBY260.841.83E−02216LBY260.861.25E−02212
LBY260.801.81E−0256LBY260.801.83E−0255
LBY260.822.37E−0254LBY260.715.07E−0252
LBY260.853.87E−03419LBY260.705.13E−0244
LBY260.713.11E−0243LBY270.857.44E−0351
LBY280.891.78E−0216LBY280.872.53E−02117
LBY280.901.57E−0215LBY280.937.37E−0319
LBY280.882.10E−02118LBY280.701.19E−0117
LBY280.792.04E−0236LBY280.811.55E−02317
LBY280.831.05E−0235LBY280.714.70E−0232
LBY280.822.47E−0226LBY280.755.02E−02217
LBY280.803.20E−0225LBY280.771.58E−0242
LBY290.711.14E−01115LBY290.762.94E−02317
LBY290.889.55E−0326LBY290.831.97E−02217
LBY290.736.16E−02215LBY290.861.37E−0225
LBY290.774.23E−0229LBY290.793.55E−02218
LBY290.782.36E−02515LBY290.761.65E−02410
LBY290.742.20E−0241LBY300.815.04E−02116
LBY300.739.66E−02119LBY300.762.91E−0233
LBY300.742.20E−0266LBY300.826.23E−03617
LBY300.771.52E−0265LBY300.714.75E−0264
LBY300.826.84E−0369LBY300.808.90E−03618
LBY300.713.11E−0267LBY300.764.88E−02219
LBY300.861.26E−02214LBY300.902.17E−0351
LBY300.866.48E−0353LBY310.721.06E−0119
LBY310.812.73E−0234LBY310.745.67E−02210
LBY310.734.10E−0256LBY310.811.46E−02517
LBY310.762.74E−0255LBY320.834.19E−02116
LBY320.862.84E−0211LBY320.811.56E−0236
LBY320.874.91E−03317LBY320.753.23E−0235
LBY320.753.23E−02318LBY320.715.01E−0256
LBY320.772.46E−02510LBY320.724.51E−02517
LBY320.724.19E−02515LBY320.753.06E−0255
LBY320.893.29E−03512LGN420.805.73E−0217
LGN430.814.85E−02116LGN430.881.93E−02120
LGN430.742.29E−02616LGN430.896.74E−0321
LGN430.732.67E−02415LGN440.739.79E−0213
LGN440.865.94E−03310LGN440.821.20E−02312
LGN440.752.04E−0269LGN440.822.34E−02219
LGN440.811.42E−0251LGN450.755.31E−02216
LGN450.726.72E−02214LGN450.764.90E−02213
LGN460.777.35E−02112LGN460.856.91E−0336
LGN460.911.91E−03317LGN460.866.03E−0335
LGN460.745.74E−0234LGN460.762.73E−0232
LGN460.742.35E−02610LGN460.826.62E−03615
LGN460.755.38E−0268LGN460.858.19E−0351
LGN460.781.35E−0242LGN470.749.16E−02119
LGN470.777.20E−02113LGN470.921.16E−0336
LGN470.979.54E−05317LGN470.892.94E−0335
LGN470.839.98E−03318LGN470.764.68E−0226
LGN470.861.20E−02210LGN470.871.16E−02217
LGN470.726.78E−02215LGN470.774.37E−0225
LGN470.851.48E−0229LGN470.822.37E−02218
LGN470.707.79E−0227LGN470.755.21E−02212
LGN480.921.30E−0336LGN480.961.83E−04317
LGN480.892.83E−0335LGN480.883.88E−03318
Table 27. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID“—correlation set ID according to the correlated parameters specified in Table 13. “Exp. Set”—Expression set specified in Table 9. “R” = Pearson correlation coefficient; “P” = p value.
TABLE 28
Correlation between the expression level of selected genes of some embodiments
of the invention in various tissues and the phenotypic performance under normal
and low nitrogen growth conditions across Barley accessions (set 1)
GeneExp. Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY10.713.15E−02234LBY10.703.44E−02211
LBY180.772.51E−02428LBY180.713.32E−02218
LBY180.901.05E−03227LBY180.863.24E−03217
LBY190.702.36E−02519LBY190.833.14E−03538
LBY190.722.90E−02227LBY190.781.30E−02331
LBY190.809.83E−03319LBY190.891.28E−03338
LBY190.854.12E−0336LBY190.713.25E−02316
LBY200.713.15E−02132LBY210.835.99E−03324
LBY210.732.69E−02325LBY210.826.55E−03333
LBY220.743.63E−02410LBY220.853.54E−03227
LBY220.872.26E−03217LBY230.791.20E−02131
LBY230.818.03E−03119LBY230.809.98E−03135
LBY230.872.05E−03138LBY230.781.26E−0216
LBY230.924.36E−04227LBY230.844.29E−03217
LBY240.772.63E−02628LBY240.734.06E−02627
LBY240.772.56E−02617LBY240.732.67E−0217
LBY240.715.06E−02412LBY240.741.42E−0258
LBY240.805.91E−03520LBY250.881.81E−03221
LBY260.713.17E−02120LBY260.827.15E−03228
LBY260.809.94E−03316LBY270.734.17E−02621
LBY270.811.59E−02627LBY270.976.16E−05613
LBY270.702.40E−0258LBY270.741.38E−02520
LBY270.908.31E−04221LBY270.826.71E−0333
LBY270.781.26E−0238LBY280.762.89E−02618
LBY280.861.35E−0357LBY280.751.31E−02524
LBY280.702.36E−02533LBY280.991.21E−06227
LBY280.933.28E−04217LBY280.853.52E−0337
LBY280.781.38E−02320LBY290.702.31E−02519
LBY290.932.63E−04331LBY290.863.19E−03319
LBY290.722.74E−0233LBY290.827.14E−03338
LBY300.801.81E−02412LBY300.712.12E−0257
LBY300.771.60E−02332LBY310.811.44E−02617
LBY310.797.10E−03536LBY320.724.35E−02634
LBY320.743.75E−02610LBY320.705.14E−02627
LBY320.858.13E−03613LBY320.835.58E−03221
LGN420.751.32E−02524LGN420.731.67E−02525
LGN430.791.93E−02621LGN430.811.50E−02613
LGN430.881.66E−03132LGN430.703.41E−02229
LGN430.863.26E−03227LGN430.818.55E−03217
LGN430.872.05E−03331LGN430.781.37E−02338
LGN440.761.14E−0258LGN440.722.92E−02218
LGN440.971.76E−05227LGN440.941.29E−04217
LGN450.714.90E−02421LGN460.792.04E−02617
LGN460.881.77E−03131LGN460.844.20E−03119
LGN460.863.14E−03138LGN460.801.67E−02418
LGN460.842.44E−0353LGN460.742.24E−02214
LGN460.752.09E−02335LGN460.791.17E−02338
LGN470.944.33E−04612LGN470.724.30E−02618
LGN470.772.68E−0264LGN470.782.28E−02617
LGN471.003.30E−09131LGN470.791.08E−02119
LGN470.761.78E−02138LGN470.722.86E−02136
LGN470.844.27E−03116LGN470.734.11E−02410
LGN470.831.15E−02430LGN470.911.52E−03413
LGN470.743.45E−02423LGN470.823.71E−03536
LGN470.809.17E−03234LGN470.909.98E−04212
LGN470.703.45E−02210LGN470.713.16E−02214
LGN470.732.51E−02213LGN470.835.37E−03336
LGN470.751.97E−02316LGN480.805.58E−0357
LGN480.721.84E−02537LGN480.818.00E−03319
LGN480.722.86E−0233LGN480.752.08E−02338
Table 28. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID“—correlation set ID according to the correlated parameters specified Table 14. “Exp. Set”—Expression set specified in Table 10. “R” = Pearson correlation coefficient; “P” = p value.
TABLE 29
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under low nitrogen and
normal growth conditions across Barley accessions (set 2)
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY10.779.07E−03514LBY10.731.68E−02513
LBY180.814.82E−03113LBY180.761.10E−02116
LBY190.712.06E−02517LBY190.779.36E−03417
LBY200.805.61E−03613LBY210.702.35E−02514
LBY210.741.46E−02513LBY210.741.53E−02117
LBY220.814.84E−03517LBY230.741.51E−0224
LBY240.712.12E−0229LBY250.712.26E−0226
LBY260.741.52E−0231LBY260.805.88E−0341
LBY260.787.38E−0343LBY270.814.78E−03517
LBY320.814.28E−03517LGN420.761.07E−0259
LGN420.731.58E−02111LGN430.751.24E−0229
LGN430.702.38E−0231LGN440.761.09E−02313
LGN440.741.36E−02415LGN450.721.96E−0225
LGN450.741.35E−0232LGN450.721.82E−0233
LGN46 0.833.08E−0335LGN470.741.38E−02314
LGN470.814.94E−03517LGN480.931.22E−0426
LGN480.722.00E−0225LGN480.741.51E−0227
LGN480.731.72E−0228LGN480.805.51E−03313
LGN480.788.39E−03316LGN480.796.04E−03517
Table 29. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID“—correlation set ID according to the correlated parameters specified in Table 15. “Exp. Set”—Expression set specified in Table 11 (Exp. Set 1, 3, 5 under low N growth conditions. Exp. Set 2, 4, 6 under normal growth conditions). “R” = Pearson correlation coefficient; “P” = p value.

To produce a high throughput correlation analysis, the present inventors utilized an Arabidopsis thaliana oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 40,000 A. thaliana genes and transcripts designed based on data from the TIGR ATH1 v.5 database and Arabidopsis MPSS (University of Delaware) databases. To define correlations between the levels of RNA expression and yield, biomass components or vigor related parameters, various plant characteristics of 15 different Arabidopsis ecotypes were analyzed. Among them, nine ecotypes encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Analyzed Arabidopsis tissues—Five tissues at different developmental stages including root, leaf, flower at anthesis, seed at 5 days after flowering (DAF) and seed at 12 DAF, representing different plant characteristics, were sampled and RNA was extracted as described as described hereinabove under “GENERAL EXPERIMENTAL AND BIOINFORMATICS METHODS”. For convenience, each micro-array expression information tissue type has received a Set ID as summarized in Table 30 below.

TABLE 30
Tissues used for Arabidopsis
transcriptome expression sets
Expression SetSet ID
Leaf1
Root2
Seed 5 DAF3
Flower4
Seed 12 DAF5
Table 30: Provided are the identification (ID) digits of each of the Arabidopsis expression sets (1-5). DAF = days after flowering.

Yield components and vigor related parameters assessment—Eight out of the nine Arabidopsis ecotypes were used in each of 5 repetitive blocks (named A, B, C, D and E), each containing 20 plants per plot. The plants were grown in a greenhouse at controlled conditions in 22° C., and the N:P:K [nitrogen (N), phosphorus (P) and potassium (K)] fertilizer (20:20:20; weight ratios) was added. During this time data was collected, documented and analyzed. Additional data was collected through the seedling stage of plants grown in a tissue culture in vertical grown transparent agar plates. Most of chosen parameters were analyzed by digital imaging.

Digital imaging in Tissue culture (seedling assay)—A laboratory image acquisition system was used for capturing images of plantlets sawn in square agar plates. The image acquisition system consists of a digital reflex camera (Canon EOS 300D) attached to a 55 mm focal length lens (Canon EF-S series), mounted on a reproduction device (Kaiser RS), which included 4 light units (4×150 Watts light bulb) and located in a darkroom.

Digital imaging in Greenhouse—The image capturing process was repeated every 3-4 days starting at day 7 till day 30. The same camera attached to a 24 mm focal length lens (Canon EF series), placed in a custom made iron mount, was used for capturing images of larger plants sawn in white tubs in an environmental controlled greenhouse. The white tubs were square shape with measurements of 36×26.2 cm and 7.5 cm deep. During the capture process, the tubs were placed beneath the iron mount, while avoiding direct sun light and casting of shadows. This process was repeated every 3-4 days for up to 30 days.

An image analysis system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing program, which was developed at the U.S National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 6 Mega Pixels (3072×2048 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Leaf analysis—Using the digital analysis leaves data was calculated, including leaf number, area, perimeter, length and width. On day 30, 3-4 representative plants were chosen from each plot of blocks A, B and C. The plants were dissected, each leaf was separated and was introduced between two glass trays, a photo of each plant was taken and the various parameters (such as leaf total area, laminar length etc.) were calculated from the images. The blade circularity was calculated as laminar width divided by laminar length.

Root analysis—During 17 days, the different ecotypes were grown in transparent agar plates. The plates were photographed every 3 days starting at day 7 in the photography room and the roots development was documented (see examples in FIGS. 3A-3F). The growth rate of root coverage was calculated according to Formula XXVIII above.

Vegetative growth rate analysis—was calculated according to Formula VII above. The analysis was ended with the appearance of overlapping plants.

For comparison between ecotypes the calculated rate was normalized using plant developmental stage as represented by the number of true leaves. In cases where plants with 8 leaves had been sampled twice (for example at day 10 and day 13), only the largest sample was chosen and added to the Anova comparison.

Seeds in siliques analysis—On day 70, 15-17 siliques were collected from each plot in blocks D and E. The chosen siliques were light brown color but still intact. The siliques were opened in the photography room and the seeds were scatter on a glass tray, a high resolution digital picture was taken for each plot. Using the images the number of seeds per silique was determined.

Seeds average weight—At the end of the experiment all seeds from plots of blocks A-C were collected. An average weight of 0.02 grams was measured from each sample, the seeds were scattered on a glass tray and a picture was taken. Using the digital analysis, the number of seeds in each sample was calculated.

Oil percentage in seeds—At the end of the experiment all seeds from plots of blocks A-C were collected. Columbia seeds from 3 plots were mixed grounded and then mounted onto the extraction chamber. 210 ml of n-Hexane (Cat No. 080951 Biolab Ltd.) were used as the solvent. The extraction was performed for 30 hours at medium heat 50° C. Once the extraction has ended the n-Hexane was evaporated using the evaporator at 35° C. and vacuum conditions. The process was repeated twice. The information gained from the Soxhlet extractor (Soxhlet, F. Die gewichtsanalytische Bestimmung des Milchfettes, Polytechnisches J. (Dingler's) 1879, 232, 461) was used to create a calibration curve for the Low Resonance NMR. The content of oil of all seed samples was determined using the Low Resonance NMR (MARAN Ultra-Oxford Instrument) and its MultiQuant software package.

Silique length analysis—On day 50 from sowing, 30 siliques from different plants in each plot were sampled in block A. The chosen siliques were green-yellow in color and were collected from the bottom parts of a grown plant's stem. A digital photograph was taken to determine silique's length.

Dry weight and seed yield—On day 80 from sowing, the plants from blocks A-C were harvested and left to dry at 30° C. in a drying chamber. The vegetative portion above ground was separated from the seeds. The total weight of the vegetative portion above ground and the seed weight of each plot were measured and divided by the number of plants.

Dry weight (vegetative biomass)=total weight of the vegetative portion above ground (excluding roots) after drying at 30° C. in a drying chamber; all the above ground biomass that is not yield.

Seed yield per plant=total seed weight per plant (gr).

Oil yield—The oil yield was calculated using Formula XXIX above.

Harvest Index (seed)—The harvest index was calculated using Formula XV (described above).

Nine different Arabidopsis ecotypes were grown and characterized for 18 parameters (named as vectors).

TABLE 31
Arabidopsis correlated parameters (vectors)
Correlation
Correlated parameter withID
Blade circularity (cm)1
Dry matter per plant (gr)2
Harvest Index (value)3
Lamina length (cm)4
Lamina width (cm)5
Leaf width/length (ratio)6
Oil % per seed (percent)7
Oil yield per plant (mg)8
Seeds per silique (number)9
Silique length (cm)10
Total Leaf Area per plant (cm2)11
Vegetative growth rate (cm2/day)12
Until leaves were in overlap
Fresh weight (gr) (at bolting stage)13
Relative root growth (cm/day) 14
in early seedling stages
Root length day 13 (cm)15
Root length day 7 (cm)16
1000 Seed weight (gr)17
Seed yield per plant (gr)18
Table 31. Provided are the Arabidopsis correlated parameters (correlation ID Nos. 1-18). Abbreviations: Cm = centimeter(s); gr = gram(s); mg = milligram(s).

The characterized values are summarized in Table 32. Correlation analysis is provided in Table 52 below.

TABLE 32
Measured parameters in Arabidopsis ecotypes
Ecotype/Line-Line-Line-Line-Line-Line-Line-Line-Line-
Treatment12 3456789
 10.510.480.450.370.500.380.390.490.41
 20.641.271.051.281.691.340.811.211.35
 30.530.350.560.330.370.320.450.510.41
 42.773.543.273.783.694.603.883.724.15
 51.381.701.461.371.831.651.511.821.67
 60.350.290.320.260.360.270.300.340.31
 734.4231.1938.0527.7635.4932.9131.5630.7934.02
 8118.63138.73224.06116.26218.27142.11114.15190.06187.62
 945.4453.4758.4735.2748 .5637.0039.3840.5325.53
101.061.261.311.471.241.091.181.181.00
1146.86109.8958.3656.80114.66110.8288.49121.7993.04
120.310.380.480.470.430.640.430.380.47
131.513.611.942.083.564.343.473.483.71
140.630.661.181.090.910.770.610.700.78
154.428.535.624.835.966.375.657.067.04
160.941.760.700.730.991.161.281.411.25
170.020.020.030.030.020.030.020.020.02
180.340.440.590.420.610.430.360.620.55
Table 32. Provided are the values of each of the parameters measured in Arabidopsis ecotypes.
TABLE 33
Correlation between the expression level of selected genes of some embodiments
of the invention in various tissues and the phenotypic performance under normal
conditions across Arabidopsis accessions
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY160.821.37E−0254LBY160.724.38E−02512
LBY160.762.78E−02118LBY160.866.45E−0317
LBY160.874.99E−0318LBY170.782.22E−02217
LBY170.792.04E−02214LBY170.733.98E−0211
Table 33. Provided are the correlations (R) between the expression levels of yield improving genes and their hom*ologues in tissues [leaf, flower, seed and root; Expression sets (Exp)] and the phenotypic performance in various yield, biomass, growth rate and/or vigor components [Correlation vector (corr.)] under normal conditions across Arabidopsis accessions. “Corr. ID“—correlation set ID according to the correlated parameters specified in Table 31. “Exp. Set”—Expression set specified in Table 30. “R” = Pearson correlation
coefficient; “P” = p value.

In order to produce a high throughput correlation analysis between plant phenotype and gene expression level, the present inventors utilized a sorghum oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 44,000 sorghum genes and transcripts. In order to define correlations between the levels of RNA expression with ABST, yield and NUE components or vigor related parameters, various plant characteristics of 17 different sorghum hybrids were analyzed. Among them, 10 hybrids encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

I. Correlation of Sorghum Varieties Across Ecotypes Grown Under Regular Growth Conditions, Severe Drought Conditions and Low Nitrogen Conditions

17 Sorghum varieties were grown in 3 repetitive plots, in field. Briefly, the growing protocol was as follows:

1. Regular growth conditions: Sorghum plants were grown in the field using commercial fertilization and irrigation protocols (370,000 liter per dunam (1000 square meters), fertilization of 14 units of nitrogen per dunam entire growth period).

2. Drought conditions: Sorghum seeds were sown in soil and grown under normal condition until around 35 days from sowing, around stage V8 (eight green leaves are fully expanded, booting not started yet). At this point, irrigation was stopped, and severe drought stress was developed.

3. Low Nitrogen fertilization conditions: Sorghum plants were fertilized with 50% less amount of nitrogen in the field than the amount of nitrogen applied in the regular growth treatment. All the fertilizer was applied before flowering.

Analyzed Sorghum tissues—All 10 selected Sorghum hybrids were sampled per each treatment. Tissues [Flag leaf, Flower meristem and Flower] from plants growing under normal conditions, severe drought stress and low nitrogen conditions were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 34 below.

TABLE 34
Sorghum transcriptome expression sets
Expression SetSet ID
Flag leaf at flowering stage under 1
drought growth conditions
Flag leaf at flowering stage under 2
low nitrogen growth conditions
Flag leaf at flowering stage under 3
normal growth conditions
Flower meristem at flowering stage 4
under drought growth conditions
Flower meristem at flowering stage 5
under low nitrogen growth conditions
Flower meristem at flowering stage 6
under normal growth conditions
Flower at flowering stage under 7
drought growth conditions
Flower at flowering stage under low 8
nitrogen growth conditions
Flower at flowering stage under 9
normal growth conditions
Table 34: Provided are the sorghum transcriptome expression sets 1-9. Flag leaf = the leaf below the flower; Flower meristem = Apical meristem following panicle initiation; Flower = the flower at the anthesis day. Expression sets 3, 6, and 9 are from plants grown under normal conditions; Expression sets 2, 5 and 8 are from plants grown under Nitrogen-limiting conditions; Expression sets 1, 4 and 7 are from plants grown under drought conditions.

The following parameters were collected using digital imaging system:

At the end of the growing period the grains were separated from the Plant ‘Head’ and the following parameters were measured and collected:

Average Grain Area (cm2)—A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

Upper and Lower Ratio Average of Grain Area, width, length, diameter and perimeter—Grain projection of area, width, diameter and perimeter were extracted from the digital images using open source package imagej (nih). Seed data was analyzed in plot average levels as follows:

Average of all seeds;

Average of upper 20% fraction—contained upper 20% fraction of seeds;

Average of lower 20% fraction—contained lower 20% fraction of seeds;

Further on, ratio between each fraction and the plot average was calculated for each of the data parameters.

At the end of the growing period 5 ‘Heads’ were photographed and images were processed using the below described image processing system.

(i) Head Average Area (cm2)—At the end of the growing period 5 ‘Heads’ were photographed and images were processed using the below described image processing system. The ‘Head’ area was measured from those images and was divided by the number of ‘Heads’.

(ii) Head Average Length (cm)—At the end of the growing period 5 ‘Heads’ were photographed and images were processed using the below described image processing system. The ‘Head’ length (longest axis) was measured from those images and was divided by the number of ‘Heads’.

(iii) Head Average width (cm)—At the end of the growing period 5 ‘Heads’ were photographed and images were processed using the below described image processing system. The ‘Head’ width was measured from those images and was divided by the number of ‘Heads’.

(iv) Head Average perimeter (cm)—At the end of the growing period 5 ‘Heads’ were photographed and images were processed using the below described image processing system. The ‘Head’ perimeter was measured from those images and was divided by the number of ‘Heads’.

The image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

Additional parameters were collected either by sampling 5 plants per plot or by measuring the parameter across all the plants within the plot.

Total Grain Weight/Head (gr.) (grain yield)—At the end of the experiment (plant ‘Heads’) heads from plots within blocks A-C were collected. 5 heads were separately threshed and grains were weighted, all additional heads were threshed together and weighted as well. The average grain weight per head was calculated by dividing the total grain weight by number of total heads per plot (based on plot). In case of 5 heads, the total grains weight of 5 heads was divided by 5.

FW Head/Plant gram—At the end of the experiment (when heads were harvested) total and 5 selected heads per plots within blocks A-C were collected separately. The heads (total and 5) were weighted (gr.) separately and the average fresh weight per plant was calculated for total (FW Head/Plant gr. based on plot) and for 5 (FW Head/Plant gr. based on 5 plants) plants.

Plant height—Plants were characterized for height during growing period at 5 time points. In each measure, plants were measured for their height using a measuring tape. Height was measured from ground level to top of the longest leaf.

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed 64 days post sowing. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.

Vegetative fresh weight and Heads—At the end of the experiment (when Inflorescence were dry) all Inflorescence and vegetative material from plots within blocks A-C were collected. The biomass and Heads weight of each plot was separated, measured and divided by the number of Heads.

Plant biomass (Fresh weight)—At the end of the experiment (when Inflorescence were dry) the vegetative material from plots within blocks A-C were collected. The plants biomass without the Inflorescence were measured and divided by the number of Plants.

FW Heads/(FW Heads+FW Plants)—The total fresh weight of heads and their respective plant biomass were measured at the harvest day. The heads weight was divided by the sum of weights of heads and plants.

17 different sorghum varieties were grown and characterized for different parameters: The average for each of the measured parameters was calculated using the JMP software (Tables 36-37) and a subsequent correlation analysis between the various transcriptome sets (Table 34) and the average parameters, was conducted (Table 38). Results were then integrated to the database.

TABLE 35
Sorghum correlated parameters (vectors)
Correlation
Correlated parameter withID
Average Grain Area (cm2), Drought1
Average Grain Area (cm2), Low N2
Average Grain Area (cm2), Normal3
FW-Head/Plant (gr) (based on plot), Drought4
FW-Head/Plant (gr.) (based on plot), Low N5
FW-Head/Plant (gr.) (based on plot), Normal6
FW-Head/Plant (gr.) (based on 5 plants), Low N7
FW-Head/Plant (gr.) (based on 5 plants), Normal8
FW Heads/(FW Heads + FW Plants)9
(all plot), Drought
FW Heads/(FW Heads + FW Plants)10
(all plot), Low N
FW Heads/(FW Heads + FW Plants) 11
(all plot), Normal
FW/Plant (gr) (based on plot), Drought12
FW/Plant (gr.) (based on plot), Low N13
FW/Plant (gr.) (based on plot), Normal14
Final Plant Height (cm), Drought15
Final Plant Height (cm), Low N16
Final Plant Height (cm), Normal17
Head Average Area (cm2), Drought18
Head Average Area (cm2), Low N19
Head Average Area (cm2), Normal20
Head Average Length (cm), Drought21
Head Average Length (cm), Low N22
Head Average Length (cm), Normal23
Head Average Perimeter (cm), Drought24
Head Average Perimeter (cm), Low N25
Head Average Perimeter (cm), Normal26
Head Average Width (cm), Drought27
Head Average Width (cm), Low N28
Head Average Width (cm), Normal29
Leaf SPAD 64 DPS (Days Post Sowing), Drought30
Leaf SPAD 64 DPS (Days Post Sowing), Low N31
Leaf SPAD 64 DPS (Days Post Sowing), Normal32
Lower Ratio Average Grain Area (value), Low N33
Lower Ratio Average Grain Area (value), Normal34
Lower Ratio Average Grain Length (value), 35
Low N
Lower Ratio Average Grain Length (value), 36
Normal
Lower Ratio Average Grain Perimeter (value), 37
Low N
Lower Ratio Average Grain Perimeter, (value) 38
Normal
Lower Ratio Average Grain Width (value), 39
Low N
Lower Ratio Average Grain Width (value), 40
Normal
Total grain weight/Head (based on plot) 41
(gr.), Low N
Total grain weight/Head (gr.) (based on 5 heads), 42
Low N
Total grain weight/Head (gr.) (based on 5 heads), 43
Normal
Total grain weight/Head (gr.) (based on plot), 44
Normal
Total grain weight/Head (gr.) (based on plot), 45
Drought
Upper Ratio Average Grain Area, 46
Drought (value)
Upper Ratio Average Grain Area (value), 47
Low N
Upper Ratio Average Grain Area (value), 48
Normal
[Grain Yield + plant biomass/SPAD 64 DPS] 49
(gr.), Normal
[Grain Yield + plant biomass/SPAD 64 DPS] 50
(gr.), Low N
[Grain yield/SPAD 64 DPS] (gr.), Low N51
[Grain yield/SPAD 64 DPS] (gr.), Normal52
[Plant biomass (FW)/SPAD 64 DPS] (gr) 53
Drought
[Plant biomass (FW)/SPAD 64 DPS] (gr.), 54
Low N
[Plant biomass (FW)/SPAD 64 DPS] (gr.), 55
Normal
Table 35. Provided are the Sorghum correlated parameters (vectors). “gr.” = grams; “SPAD” = chlorophyll levels; “FW” = Plant Fresh weight; “normal” = standard growth conditions.
TABLE 36
Measured parameters in Sorghum accessions
Ecotype/Line- Line-Line- Line-Line-Line-Line-Line-Line-
Treatment123456789
 10.100.110.110.090.090.11
 20.110.110.140.120.140.130.120.120.12
 30.1050.1120.1310.1290.1390.1410.1100.1130.102
 4154.90122.02130.51241.1169.03186.4162.1139.0258.94
 5214.78205.0573.49122.96153.0793.23134.1177.43129.63
 6175.15223.4956.40111.6267.3466.90126.18107.74123.86
 7388.00428.67297.67280.00208.33303.67436.00376.33474.67
 8406.50518.00148.00423.0092.00101.33423.50386.50409.50
 90.420.470.420.370.230.310.410.440.40
100.510.510.170.390.210.190.480.370.42
110.510.510.120.260.120.180.460.430.42
12207.99138.02255.41402.22233.55391.7589.3150.6187.02
13204.78199.64340.51240.60537.78359.40149.20129.06178.71
14162.56212.59334.83313.46462.28318.26151.13137.60167.98
1589.4075.7392.1094.30150.80110.7399.2084.0099.00
16104.0080.93204.73125.40225.40208.07121.40100.27121.13
1795.2579.20197.85234.20189.40194.67117.2592.80112.65
1883.14107.7988.68135.9190.76123.9586.0685.20113.10
1996.24214.7298.59182.83119.64110.19172.3684.81156.25
20120.14167.6085.14157.26104.00102.48168.54109.32135.13
2121.6321.9421.5722.0120.9928.6021.3520.8124.68
2223.2225.5820.9328.4324.3222.6332.1120.3826.69
2325.5826.8421.0226.8423.1421.8231.3323.1825.70
2452.7864.4956.5964.3753.2171.6655.6152.9669.83
2556.3279.2053.2576.2167.2759.4979.2851.5269.88
2661.2267.9056.2665.3867.4667.4674.3556.1661.64
274.836.315.167.785.285.495.045.075.77
285.2610.415.938.256.196.126.805.257.52
295.977.924.877.435.585.886.785.996.62
3040.5840.8845.0142.3045.2440.5644.8045.0740.65
3138.3338.9842.3340.9043.1539.8542.6843.3139.01
3243.01.43.2644.7445.7641.6145.2145.1443.03
330.820.770.810.790.780.800.830.790.81
340.8250.7400.7780.8020.6970.6990.8270.8050.841
350.910.900.920.900.910.930.920.890.90
360.9140.8840.9210.9080.8900.8770.9130.9030.920
370.900.880.920.900.920.920.920.890.90
380.910.870.910.950.900.910.910.910.92
390.900.850.890.880.860.870.910.890.90
400.910.830.850.870.790.800.900.890.91
4125.9530.5719.3735.6225.1822.1849.9627.4851.12
4250.2750.9336.1373.1037.8736.4071.6735.0076.73
4347.4046.3028.3770.4032.1549.2363.4544.4556.65
4431.1226.3518.7238.3826.6728.8447.6731.0039.99
4522.1116.779.19104.443.2422.009.9718.5829.27
461.311.191.291.461.211.21
471.181.311.111.211.191.181.161.231.17
481.221.301.131.141.161.151.191.231.25
494.508.177.8710.688.344.403.744.833.67
506.025.918.506.7513.059.584.673.615.89
510.680.780.460.870.580.561.170.631.31
523.787.747.0110.107.653.343.053.902.83
535.133.385.679.515.169.661.991.122.14
545.345.128.055.8812.469.023.502.984.58
550.720.430.860.580.691.050.690.930.84
Table 36: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (ecotype) under normal, low nitrogen and drought conditions. Growth conditions are specified in the experimental procedure section.
TABLE 37
Additional measured parameters in Sorghum accessions
Ecotype/
TreatmentLine-10 Line-11 Line-12Line-13Line-14Line-15Line-16Line-17
 20.130.130.120.120.110.110.120.11
 30.1180.1210.1110.1170.1080.1050.1100.105
 476.3733.4742.2041.53131.6760.8444.33185.44
 599.8376.9584.2592.24138.83113.3295.50129.49
 6102.7582.3377.5991.17150.44109.10107.58130.88
 7437.67383.00375.00425.00434.00408.67378.50432.00
 8328.95391.00435.75429.50441.00415.75429.50428.50
 90.440.470.470.480.350.350.230.33
100.440.430.390.440.440.440.430.42
110.440.460.450.450.510.460.440.39
12120.4337.2148.1844.20231.60116.01123.08342.50
13124.27101.33132.12117.90176.99143.67126.98180.45
14128.9797.6299.32112.24157.42130.55135.66209.21
1592.2081.9398.8086.4799.6083.0083.5392.30
1694.53110.00115.07104.73173.67115.60138.80144.40
1797.5098.00100.00105.60151.15117.10124.45126.50
18100.7980.41126.8986.4192.2977.8976.93
19136.71137.7096.54158.19163.95138.39135.46165.64
20169.03156.10112.14154.74171.70168.51162. 51170.46
2124.2821.9524.9819.4920.4216.8118.88
2226.3125.4323.1127.8728.8827.6425.5230.33
2328.8228.1322.9728.0930.0030.5427.1729.26
2465.1455.2769.0653.3256.2949.1251.88
2566.1767.3757.9070.6173.7666.8765.4075.97
2671.4068.5656.4467.7971.5478.9467.0374.11
275.374.666.355.585.765.865.10
286.596.855.327.257.196.276.576.82
297.426.986.197.027.187.007.397.35
3045.4342.5844.1844.6042.4143.2540.3040.75
3142.7140.0843.9845.4444.7542.5843.8146.73
3245.5944.8345.3346.5443.9945.0945.1443.13
330.770.740.800.790.820.800.810.81
340.7880.7650.8030.8060.8210.8140.8180.817
350.910.890.900.890.910.890.890.90
360.9230.8930.9130.9070.9110.9040.9030.913
370.910.890.900.900.910.890.900.90
380.930.910.920.900.910.900.910.91
390.860.840.900.890.910.900.900.90
400.850.860.880.900.900.910.900.90
4136.8429.4526.7029.4251.1237.0439.8541.78
4257.5842.9336.4768.6071.8049.2743.8752.07
4360.0045.4558.1970.6070.1053.9559.8752.65
4438.3632.1032.6932.7951.5335.7138.3142.44
4510.4514.7712.8618.2411.6018.6516.36
46
471.221.241.191.231.161.341.211.21
481.241.321.221.181.181.221.251.22
492.892.913.124.753.693.855.84
503.773.263.613.245.104.253.814.76
510.860.730.610.651.140.870.910.89
522.182.192.413.582.903.014.85
532.650.871.090.995.462.683.058.40
542.912.533.002.603.963.382.903.86
550.720.720.701.170.790.850.98
Table 37: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (ecotype) under normal, low nitrogen and drought conditions. Growth conditions are specified in the experimental procedure section.
TABLE 38
Correlation between the expression level of selected genes of some embodiments
of the invention in various tissues and the phenotypic performance under low
nitrogen, normal or drought stress conditions across Sorghum accessions
GeneExp. Corr.GeneExp.Corr.
NameRP valueset Set IDNameRP valuesetSet ID
LBY140.721.91E−02617LBY140.805.97E−03644
LBY140.741.41E−02247LBY140.832.89E−03453
LBY140.731.74E−0244LBY140.832.86E−03412
LBY140.796.98E−0355LBY140.833.07E−03550
LBY140.796.21E−03554LBY140.896.00E−04513
LBY1480.712.02E−02652LBY1480.702.30E−02649
LBY1480.731.58E−0263LBY1480.779.54E−03247
LBY1480.731.70E−0252LBY1490.722.82E−02418
LBY1490.722.83E−02424LBY1490.732.69E−02421
LBY1490.787.48E−0355LBY1490.712.10E−02550
LBY1490.779.23E−03510LBY1490.702.35E−02513
LBY1500.805.82E−0352LBY1500.713.06E−02355
LBY1500.751.32E−02153LBY1500.741.40E−02112
LBY1510.731.61E−0285LBY1510.842.25E−03850
LBY1510.779.57E−03854LBY1510.731.60E−02835
LBY1510.814.63E−03813LBY1510.951.08E−04352
LBY1510.823.54E−0336LBY1510.923.92E−04349
LBY1510.842.50E−0338LBY1520.814.52E−03216
LBY1520.787.77E−03831LBY1520.814.63E−03317
LBY1520.787.80E−03344LBY1530.842.15E−03917
LBY1530.712.03E−02940LBY1530.741.48E−02938
LBY1530.842.36E−03944LBY1530.741.34E−02934
LBY1530.832.75E−03453LBY1530.721.83E−0244
LBY1530.832.73E−03412LBY1530.741.45E−02715
LBY1540.796.58E−03617LBY1540.712.11E−02623
LBY1540.796.33E−03644LBY1540.805.44E−03216
LBY1540.742.28E−02418LBY1540.752.10E−02427
LBY1540.731.59E−02453LBY1540.722.84E−02424
LBY1540.741.39E−02412LBY1540.721.86E−02550
LBY1540.721.92E−02513LBY1550.751.31E−0263
LBY1560.894.92E−04652LBY1560.702.33E−02614
LBY1560.904.08E−04649LBY1560.805.60E−03231
LBY1560.881.63E−03718LBY1560.722.77E−02727
LBY1560.809.08E−03724LBY1560.771.61E−02721
LBY1570.721.81E−0266LBY1570.761.13E−02247
LBY1580.871.09E−03453LBY1580.879.17E−0444
LBY1580.871.01E−03412LBY1590.741.53E−0279
LBY1590.761.65E−02118LBY1590.741.53E−02115
LBY1600.796.72E−03648LBY1600.851.70E−0363
LBY1600.721.78E−0252LBY1610.921.65E−04453
LBY1610.842.25E−0344LBY1610.921.73E−04412
LBY1610.912.66E−04835LBY1610.702.31E−02842
LBY1610.712.22E−02837LBY1610.861.51E−0355
LBY1610.895.33E−04550LBY1610.887.10E−04554
LBY1610.912.41E−04513LBY1610.761.03E−02153
LBY1610.814.72E−0314LBY1610.778.76E−03112
LBY1620.712.06E−0263LBY1620.731.73E−02231
LBY1620.779.20E−03837LBY1620.912.88E−04332
LBY1620.721.85E−02340LBY1620.771.52E−02355
LBY1620.805.47E−03338LBY1620.731.69E−02336
LBY1630.761.79E−02352LBY1630.742.41E−02349
LBY1630.788.21E−0338LBY1640.896.23E−04453
LBY1640.833.15E−0344LBY1640.904.03E−04412
LBY1640.761.11E−02847LBY1640.731.76E−02828
LBY1650.814.65E−0363LBY1650.761.08E−0252
LBY1650.881.74E−03352LBY1650.881.57E−03349
LBY1660.751.31E−02241LBY1660.787.83E−03242
LBY1660.721.96E−02251LBY1660.741.40E−02216
LBY1660.712.16E−02816LBY1660.809.36E−03352
LBY1660.852.03E−0336LBY1660.731.67E−02314
LBY1660.781.37E−02349LBY1660.787.40E−0338
LBY1670.778.71E−0363LBY1670.721.89E−02917
LBY1670.703.53E−02427LBY1670.781.24E−02352
LBY1670.722.86E−02349LBY1670.871.21E−0338
LBY1680.842.56E−0366LBY1680.814.40E−03614
LBY1680.769.94E−0327LBY1680.842.16E−03241
LBY1680.842.20E−03222LBY1680.833.03E−03251
LBY1680.771.50E−02721LBY1700.778.79E−03652
LBY1700.731.58E−02649LBY1700.741.47E−0268
LBY1710.702.39E−02611LBY1710.778.75E−03247
LBY1710.904.10E−04453LBY1710.842.20E−0344
LBY1710.895.28E−04412LBY1710.842.61E−0355
LBY1710.823.36E−03550LBY1710.824.06E−03554
LBY1710.842.13E−03513LBY1730.779.12E−03241
LBY1730.722.01E−02251LBY1730.787.72E−03237
LBY1730.761.05E−02216LBY1740.741.46E−02617
LBY1740.741.36E−02611LBY1740.751.22E−02644
LBY1740.871.06E−03241LBY1740.702.40E−02235
LBY1740.712.12E−02242LBY1740.861.36E−03251
LBY1740.805.02E−03237LBY1740.751.30E−02216
LBY1740.879.84E−0455LBY1740.879.19E−04550
LBY1740.814.20E−03554LBY1740.823.95E−03510
LBY1740.805.46E−03535LBY1740.842.36E−03513
LBY1740.908.09E−04352LBY1740.722.00E−0236
LBY1740.881.78E−03349LBY1740.805.36E−0338
LBY1750.732.44E−02418LBY1750.722.74E−02421
LBY1760.703.46E−02352LBY1760.894.94E−0436
LBY1770.871.07E−03617LBY1770.731.59E−02640
LBY1770.861.39E−03644LBY1770.712.07E−02643
LBY1770.712.16E−02636LBY1770.787.48E−03634
LBY1770.702.39E−0282LBY1770.796.60E−03533
LBY1770.741.49E−02539LBY1780.761.09E−02640
LBY1780.751.22E−02655LBY1780.721.98E−02643
LBY1780.814.70E−03914LBY1780.779.03E−03233
LBY1780.912.45E−04241LBY1780.731.68E−02239
LBY1780.702.28E−02235LBY1780.879.72E−04251
LBY1780.797.09E−03237LBY1780.912.35E−04216
LBY1780.832.91E−03453LBY1780.731.72E−0244
LBY1780.832.88E−03412LBY1780.721.87E−02531
LBY1780.769.95E−03516LBY1780.863.24E−03352
LBY1780.814.72E−0336LBY1780.844.57E−03349
LBY1780.731.71E−0238LBY1790.761.08E−02617
LBY1790.702.34E−02644LBY1790.921.95E−04453
LBY1790.832.91E−0344LBY1790.912.08E−04412
LBY1790.702.32E−02513LBY1800.731.68E−02648
LBY1800.751.17E−02816LBY1810.778.50E−03640
LBY1810.731.60E−02634LBY1810.761.78E−02955
LBY1810.742.38E−02745LBY1820.721.97E−02233
LBY1820.721.92E−02250LBY1820.904.10E−04235
LBY1820.779.14E−0355LBY1820.805.92E−03550
LBY1820.796.98E−03554LBY1820.741.41E−02513
LBY1820.796.72E−03311LBY1820.945.85E−0536
LBY1830.712.12E−02611LBY1830.741.51E−02911
LBY1830.761.13E−02810LBY1830.731.62E−02550
LBY1830.731.74E−02510LBY1830.721.90E−02311
LBY1860.805.01E−03917LBY1860.842.54E−03944
LBY1860.779.83E−03344LBY1880.814.23E−0352
LBY1890.751.28E−02216LBY1890.741.45E−0236
LBY1910.741.39E−02130LBY1920.741.35E−0282
LBY1920.787.83E−0355LBY1920.712.20E−02550
LBY1920.741.42E−02554LBY1920.712.06E−02513
LGN30.823.99E−03617LGN30.787.76E−03644
LGN30.844.41E−03952LGN30.835.83E−03949
LGN30.797.06E−0398LGN30.912.59E−04453
LGN30.842.38E−0344LGN30.921.64E−04412
LGN30.741.35E−02847LGN40.814.25E−03617
LGN40.779.90E−03644LGN40.703.52E−02952
LGN40.713.11E−02949LGN40.805.52E−03453
LGN40.741.35E−0244LGN40.823.99E−03412
LGN50.702.37E−02655LGN50.861.27E−03241
LGN50.761.05E−02235LGN50.879.62E−04251
LGN50.851.75E−03237LGN50.721.78E−02216
LGN50.796.72E−0352LGN50.731.56E−02317
LGN50.731.58E−0274LGN50.781.26E−02145
LGN540.702.31E−02914LGN540.814.13E−0398
LGN570.851.73E−03917LGN570.796.65E−03944
LGN570.751.23E−02241LGN570.805.40E−03216
LGN570.833.06E−03833LGN570.861.38E−03841
LGN570.712.15E−02839LGN570.823.75E−03835
LGN570.842.09E−03851LGN570.861.42E−03837
LGN570.788.45E−03816LGN570.742.26E−02355
LGN570.814.59E−03343LGN60.787.30E−03617
LGN60.842.54E−03644LGN60.702.40E−02550
LGN60.702.38E−02513LGN60.853.72E−03352
LGN60.881.83E−03349LGN60.712.08E−02730
LGN70.751.33E−02617LGN70.702.40E−02644
LGN70.702.40E−02636LGN70.761.07E−02453
LGN70.761.04E−02412LGN70.712.23E−02847
LGN70.761.14E−02541LGN70.751.25E−02522
LGN70.712.15E−02551LGN70.703.57E−02352
LGN70.887.09E−04153LGN70.851.97E−0314
LGN70.895.78E−04112
Table 38. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID“—correlation set ID according to the correlated parameters specified in Table 35. “Exp. Set”—Expression set specified in Table 34. “R” = Pearson correlation coefficient; “P” = p value.

II. Correlation of Sorghum Varieties Across Ecotype Grown Under Salinity Stress, Cold Stress, Low Nitrogen and Normal Conditions

Sorghum vigor related parameters under 100 mM NaCl and low temperature (10±2° C.)—Ten Sorghum varieties were grown in 3 repetitive plots, each containing 17 plants, at a net house under semi-hydroponics conditions. Briefly, the growing protocol was as follows: Sorghum seeds were sown in trays filled with a mix of vermiculite and peat in a 1:1 ratio. Following germination, the trays were transferred to the high salinity solution (100 mM NaCl in addition to the Full Hogland solution at 28±2° C.), low temperature (10±2° C. in the presence of Full Hogland solution), low nitrogen (1.2 mM Nitrogen at 28±2° C.) or at Normal growth solution [Full Hogland solution at 28±2° C.].

Full Hogland solution consists of: KNO3—0.808 grams/liter, MgSO4—0.12 grams/liter, KH2PO4—0.172 grams/liter and 0.01% (volume/volume) of ‘Super coratin’ micro elements (Iron-EDDHA [ethylenediamine-N,N′-bis(2-hydroxyphenylacetic acid)]—40.5 grams/liter; Mn—20.2 grams/liter; Zn 10.1 grams/liter; Co 1.5 grams/liter; and Mo 1.1 grams/liter), solution's pH should be 6.5-6.8].

All 10 selected varieties were sampled per each treatment. Two tissues [meristems and roots] growing at 100 mM NaCl, low temperature (10±2° C.), low nitrogen (1.2 mM Nitrogen) or under Normal conditions (full Hogland at a temperature between 28±2° C.) were sampled and RNA was extracted as described hereinabove under “GENERAL EXPERIMENTAL AND BIOINFORMATICS METHODS”.

TABLE 39
Sorghum transcriptome expression sets
Expression SetSet ID
root at vegetative stage (V4-V5) 1
under cold conditions
root vegetative stage (V4-V5) 2
under normal conditions
root vegetative stage (V4-V5) 3
under low nitrogen conditions
root vegetative stage (V4-V5) 4
under salinity conditions
vegetative meristem at 5
vegetative stage
(V4-V5) under cold conditions
vegetative meristem at 6
vegetative stage
(V4-V5) under low
nitrogen conditions
vegetative meristem at 7
vegetative stage
(V4-V5) under salinity
conditions
vegetative meristem at 8
vegetative stage
(V4-V5) under normal
conditions
Table 39: Provided are the Sorghum transcriptome expression sets. Cold conditions = 10 ± 2° C.; NaCl = 100 mM NaCl; low nitrogen Nitrogen; Normal conditions = 16 mM Nitrogen.

Sorghum Biomass, Vigor, Nitrogen Use Efficiency and Growth-Related Components

Root DW (dry weight)—At the end of the experiment, the root material was collected, measured and divided by the number of plants.

Shoot DW—At the end of the experiment, the shoot material (without roots) was collected, measured and divided by the number of plants.

Total biomass—total biomass including roots and shoots.

Plant leaf number—Plants were characterized for leaf number at 3 time points during the growing period. In each measure, plants were measured for their leaf number by counting all the leaves of 3 selected plants per plot.

Shoot/root Ratio—The shoot/root Ratio was calculated using Formula XXX above.

Percent of reduction of root biomass compared to normal—the difference (reduction in percent) between root biomass under normal and under low nitrogen conditions.

Percent of reduction of shoot biomass compared to normal—the difference (reduction in percent) between shoot biomass under normal and under low nitrogen conditions.

Percent of reduction of total biomass compared to normal—the difference (reduction in percent) between total biomass (shoot and root) under normal and under low nitrogen conditions

Plant height—Plants were characterized for height at 3 time points during the growing period. In each measure, plants were measured for their height using a measuring tape. Height was measured from ground level to top of the longest leaf

Relative Growth Rate of leaf number was calculated using Formula VIII above.

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed 64 days post sowing. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.

Root Biomass [DW-gr.]/SPAD—root biomass divided by SPAD results.

Shoot Biomass [DW-gr.]/SPAD—shoot biomass divided by SPAD results.

Total Biomass-Root+Shoot [DW-gr.]/SPAD—total biomass divided by SPAD results.

Plant nitrogen level (calculated as SPAD/leaf biomass)—The chlorophyll content of leaves is a good indicator of the nitrogen plant status since the degree of leaf greenness is highly correlated to this parameter.

10 different Sorghum varieties were grown and characterized for the following parameters: “Leaf number Normal”=leaf number per plant under normal conditions (average of five plants); “Plant Height Normal”=plant height under normal conditions (average of five plants); “Root DW 100 mM NaCl”—root dry weight per plant under salinity conditions (average of five plants); The average for each of the measured parameters was calculated using the JMP software and values are summarized in Table 41 below. Subsequent correlation analysis between the various transcriptome sets and the average parameters were conducted (Table 42). Results were then integrated to the database.

TABLE 40
Sorghum correlated parameters (vectors)
Correlated parameter withCorrelation ID
DW Root/Plant (gr./number) at 100 mM NaCl conditions1
DW Root/Plant (gr./number) at Cold conditions2
DW Root/Plant (gr./number) at Low Nitrogen conditions3
DW Root/Plant (gr./number) at Normal conditions4
DW Shoot/Plant (gr./number) at Low Nitrogen conditions5
DW Shoot/Plant (gr./number) at 100 mM NaCl conditions6
DW Shoot/Plant (gr./number) at Cold conditions7
DW Shoot/Plant (gr./number) at Normal conditions8
Leaf number (at time point 1) at 100 mM NaCl conditions9
Leaf number (at time point 1) at Cold conditions10
Leaf number (at time point 1) at Low Nitrogen conditions11
Leaf number (at time point 1) at Normal conditions12
Leaf number (at time point 2) at 100 mM NaCl conditions13
Leaf number (at time point 2) at Cold conditions14
Leaf number (at time point 2) at Low Nitrogen conditions15
Leaf number (at time point 2) at Normal conditions16
Leaf number (at time point 3) at 100 mM NaCl conditions17
Leaf number (at time point 3) at Cold conditions18
Leaf number (at time point 3) at Low Nitrogen conditions19
Leaf number (at time point 3) at Normal conditions20
total biomass DW (gr.) at Low N conditions21
Shoot/Root (ratio) at Low N conditions22
roots DW (gr.) at Low N conditions23
shoots DW (gr.) at Low N conditions24
percent root biomass at Low N compared to normal conditions25
percent shoot biomass at Low N compared to normal conditions26
percent total biomass reduction at Low N compared to normal conditions27
N level/Leaf (SPAD/gr.) at Low Nitrogen conditions28
N level/Leaf (SPAD/gr.) at 100 mM NaCl conditions29
N level/Leaf (SPAD/gr.) at Cold conditions30
N level/Leaf (SPAD/gr.) at Normal conditions31
Normal, Shoot/Root (ratio) at normal conditions32
Roots DW (gr.) at normal conditions33
Shoots DW (gr.) at normal conditions34
Total biomass (gr. at normal conditions35
Plant Height (at time point 1) (cm) at 100 mM NaCl conditions36
Plant Height (at time point 1) (cm) at Cold conditions37
Plant Height (at time point 1), (cm) at Low Nitrogen conditions38
Plant Height (at time point 1), (cm) at normal conditions39
Plant Height (at time point 2), (cm) at Cold conditions40
Plant Height (at time point 2), (cm) at Low Nitrogen conditions41
Plant Height (at time point 2), (cm) at normal conditions42
Plant Height (at time point 2), (cm) at 100 mM NaCl conditions43
Plant Height (at time point 3), (cm) at 100 mM NaCl conditions44
Plant Height (at time point 3), (cm) at Low Nitrogen conditions45
RGR Leaf Num at Normal conditions46
Root Biomass (DW-gr.)/SPAD at 100 mM NaCl conditions47
Root Biomass (DW, gr.)/SPAD at Cold conditions48
Root Biomass (DW, gr.)/SPAD at Low Nitrogen conditions49
Root Biomass [DW, gr.]/SPAD at Normal conditions50
SPAD, at Cold conditions51
SPAD (number) at Low Nitrogen conditions52
SPAD (number) at Normal conditions53
SPAD (number) at 100 mM NaCl conditions54
Shoot Biomass (DW, gr.)/SPAD at 100 mM NaCl conditions55
Shoot Biomass (DW, gr.)/SPAD at Cold conditions56
Shoot Biomass (DW, gr.)/SPAD at Low Nitrogen conditions57
Shoot Biomass (DW, gr.)/SPAD at Normal conditions58
Total Biomass (Root + Shoot; DW, gr.)/SPAD at 100 mM NaCl59
conditions
Total Biomass (Root + Shoot; DW, gr.)/SPAD at Cold conditions60
Total Biomass (Root + Shoot; DW, gr.)/SPAD at Low Nitrogen conditions61
Total Biomass (Root + Shoot; DW, gr.)/SPAD at Normal conditions62
Table 40: Provided are the Sorghum correlated parameters. Cold conditions = 10 ± 2° C.; NaCl = 100 mM NaCl; low nitrogen = 1.2 mM Nitrogen; Normal conditions = 16 mM Nitrogen.
TABLE 41
Sorghum accessions, measured parameters
Ecotype/Line-Line-Line-Line-Line-Line-Line-Line-Line-Line-
Treatment12345678910
40.050.130.170.100.110.120.140.120.100.11
80.100.240.310.160.190.190.240.240.190.24
123.003.073.803.203.233.233.133.433.003.00
164.174.504.804.604.534.974.604.934.504.57
205.335.876.205.805.805.735.736.005.606.07
397.479.3012.878.578.938.5310.6710.277.878.77
4214.9718.2322.1017.6018.0718.5322.8322.0320.0321.80
460.160.190.160.170.170.170.170.170.170.20
5326.7029.3329.8629.0924.9824.6230.7925.5032.8933.54
30.040.110.200.100.080.090.130.090.090.09
50.080.190.330.160.160.160.260.200.130.18
113.003.133.873.533.203.133.133.303.073.07
154.004.584.974.734.604.704.974.874.674.57
193.904.274.704.234.304.574.634.673.974.10
386.739.7712.708.679.779.2310.2710.107.938.23
4113.3020.6323.7018.0319.3319.2021.8722.1318.2021.00
4522.2331.0734.6730.0330.8329.8730.8732.4029.3730.70
5226.8828.0229.6431.5229.6126.8228.4828.2130.4827.63
10.050.100.120.070.080.080.140.100.160.14
60.090.190.200.140.130.130.150.190.100.12
93.003.133.403.073.333.073.073.273.003.07
134.004.374.874.604.504.534.504.774.324.20
174.004.134.574.434.074.334.134.503.784.20
367.909.5010.937.939.708.538.9010.377.007.83
4314.2016.2720.3713.3315.9016.5315.4718.9313.6815.77
4421.8023.1730.3722.8323.7023.3022.4726.8320.2823.57
5432.7335.1427.9730.9334.5329.9932.0931.8632.5134.32
20.070.110.160.090.080.110.140.130.110.14
70.080.150.190.110.130.160.150.150.110.14
103.003.003.503.173.403.203.133.073.073.00
143.904.134.634.174.274.234.204.304.174.00
184.735.335.435.505.335.074.505.405.375.18
376.508.7710.406.809.039.007.979.176.507.23
4011.1715.8718.4312.2016.0314.6314.6017.2713.4313.91
5128.6230.3127.0432.2828.2829.8932.4728.6331.7129.56
306.055.684.985.875.305.907.215.305.915.70
480.0020.0040.0060.0030.0030.0040.0040.0040.0030.005
560.0030.0050.0070.0030.0050.0060.0050.0050.0040.005
600.0050.0090.0130.0060.0080.0090.0090.0100.0070.009
2127.5364.12115.2358.0252.2235.1084.5763.7347.0360.00
221.871.711.731.572.101.812.062.101.502.00
239.6523.5443.8822.5816.8912.4428.1920.5318.7620.09
2417.8840.5971.3535.4435.3322.6656.3843.2028.2739.91
2584.5380.95117.00100.5272.5471.7893.4776.0586.8280.51
2681.5779.16104.75103.5083.7183.22107.6981.3970.3075.86
2782.5879.81109.10102.3279.7478.77102.4979.5976.0777.36
286.896.576.317.456.895.876.156.057.686.74
490.0020.0040.0070.0030.0030.0030.0050.0030.0030.003
570.0030.0070.0110.0050.0050.0060.0090.0070.0040.007
610.0050.0110.0180.0080.0080.0090.0140.0100.0070.010
298.188.506.126.988.496.927.767.088.608.17
470.0020.0030.0040.0020.0020.0030.0040.0030.0050.004
550.0030.0050.0070.0040.0040.0040.0050.0060.0030.004
590.0040.0080.0120.0070.0060.0070.0090.0090.0080.008
315.015.004.825.024.314.295.374.255.875.53
321.981.941.901.591.811.581.761.991.892.20
330.862.192.831.691.761.962.272.041.091.88
341.653.875.142.583.183.083.954.002.023.97
352.516.067.964.284.945.046.226.043.115.85
500.0020.0050.0060.0040.0040.0050.0050.0050.0030.003
580.0040.0080.0100.0050.0080.0080.0080.0100.0060.007
620.0060.0130.0160.0090.0120.0120.0120.0140.0090.011
Table 41: Provided are the measured parameters under 100 mM NaCl, low nitrogen (1.2 mM), low temperature (8-10 ° C. ) and normal conditions of Sorghum accessions (Seed ID) according to the Correlation ID numbers (described in Table 40 above).
TABLE 42
Correlation between the expression level of selected genes of some embodiments
of the invention in various tissues and the phenotypic performance under low
nitrogen, normal, cold or salinity stress conditions across Sorghum accessions
GeneExp. Corr.GeneExp.Corr.
NameRP valueset Set IDNameRP valuesetSet ID
LBY140.751.28E−02130LBY1480.732.60E−02510
LBY1480.761.80E−02514LBY1480.844.97E−03812
LBY1490.774.09E−02338LBY1490.722.97E−02649
LBY1490.732.52E−0263LBY1490.713.34E−0265
LBY1490.844.83E−03611LBY1490.732.52E−02623
LBY1490.713.34E−02624LBY1490.722.73E−02621
LBY1490.713.25E−02638LBY1490.854.13E−03246
LBY1500.791.06E−02729LBY1500.732.65E−02754
LBY1510.781.36E−02839LBY1510.752.01E−02833
LBY1510.732.61E−02850LBY1510.732.50E−0284
LBY1520.722.94E−02628LBY1530.751.98E−02729
LBY1530.713.29E−02754LBY1530.844.94E−03246
LBY1540.861.27E−02338LBY1560.791.11E−02548
LBY1560.732.54E−02510LBY1560.761.67E−02556
LBY1560.809.81E−03560LBY1560.835.18E−03514
LBY1570.732.49E−02212LBY1570.713.36E−02239
LBY1580.713.31E−0263LBY1580.742.39E−02645
LBY1580.818.44E−03611LBY1580.713.31E−02623
LBY1580.722.92E−02638LBY1590.707.77E−02325
LBY1610.755.23E−02349LBY1610.707.78E−0233
LBY1610.783.98E−0235LBY1610.783.68E−02361
LBY1610.717.58E−02338LBY1610.812.71E−02319
LBY1610.774.27E−02357LBY1610.751.99E−02729
LBY1610.722.75E−02754LBY1620.745.48E−02315
LBY1620.832.06E−02328LBY1620.751.88E−02551
LBY1620.827.09E−03530LBY1630.707.97E−02338
LBY1640.703.43E−02729LBY1650.755.44E−02327
LBY1650.889.23E−03326LBY1670.881.71E−03812
LBY1670.771.52E−02835LBY1670.751.99E−02834
LBY1670.932.25E−04839LBY1670.854.11E−03858
LBY1670.872.58E−03862LBY1670.791.16E−02833
LBY1670.881.77E−03850LBY1670.742.16E−0288
LBY1670.791.10E−0284LBY1670.844.41E−03744
LBY1670.751.96E−0279LBY1670.872.51E−03212
LBY1670.742.13E−02216LBY1670.721.85E−02151
LBY1700.703.46E−0257LBY1700.742.30E−02556
LBY1700.732.59E−02560LBY1700.713.18E−02537
LBY1700.835.43E−03540LBY1700.771.42E−0276
LBY1710.764.55E−02327LBY1710.707.89E−02311
LBY1710.871.14E−02326LBY1710.872.21E−0357
LBY1710.771.50E−02548LBY1710.713.07E−0252
LBY1710.881.55E−03556LBY1710.853.34E−03560
LBY1710.872.51E−03537LBY1710.862.70E−03540
LBY1710.863.26E−03514LBY1710.791.08E−02649
LBY1710.817.89E−0363LBY1710.713.04E−02625
LBY1710.713.13E−0265LBY1710.817.89E−03623
LBY1710.732.69E−02661LBY1710.713.13E−02624
LBY1710.761.78E−02621LBY1730.793.32E−02323
LBY1730.851.57E−02352LBY1730.736.06E−02324
LBY1730.774.11E−02321LBY1730.771.49E−02759
LBY1730.713.25E−0276LBY1740.755.31E−02328
LBY1740.771.61E−0257LBY1740.723.02E−02556
LBY1740.742.24E−02540LBY1740.703.49E−02831
LBY1750.755.08E−02361LBY1750.764.76E−02357
LBY1760.736.46E−02323LBY1760.755.20E−02352
LBY1760.717.49E−02324LBY1760.736.40E−02321
LBY1760.796.66E−03148LBY1760.712.27E−0212
LBY1760.761.10E−02160LBY1780.812.73E−02349
LBY1780.726.56E−0233LBY1780.726.64E−02361
LBY1780.717.39E−02341LBY1790.752.09E−0257
LBY1790.761.84E−02556LBY1790.818.31E−03537
LBY1790.826.58E−03540LBY1790.853.36E−03514
LBY1790.818.29E−03627LBY1790.732.53E−02625
LBY1790.771.46E−02626LBY1800.717.16E−02327
LBY1800.923.53E−03325LBY1800.703.47E−02833
LBY1800.713.26E−0279LBY1800.703.42E−02713
LBY1830.755.38E−02352LBY1830.755.21E−02328
LBY1830.742.38E−0257LBY1830.908.91E−04510
LBY1830.781.26E−02556LBY1830.881.93E−03537
LBY1830.791.20E−02540LBY1830.881.74E−03514
LBY1840.726.62E−02361LBY1840.717.31E−02357
LBY1840.751.93E−02246LBY1850.755.39E−02315
LBY1850.793.26E−02352LBY1850.742.33E−0263
LBY1850.703.52E−02615LBY1850.713.18E−02645
LBY1850.713.36E−02611LBY1850.742.33E−02623
LBY1850.713.16E−02621LBY1850.791.12E−02759
LBY1860.814.89E−03148LBY1860.779.92E−0312
LBY1870.726.75E−02322LBY1880.891.18E−03510
LBY1880.713.26E−02514LBY1900.736.10E−02349
LBY1900.736.40E−0233LBY1910.809.80E−03551
LGN30.726.78E−02322LGN30.761.78E−02556
LGN30.826.98E−03537LGN30.791.07E−02540
LGN30.818.13E−03514LGN40.822.25E−02315
LGN40.764.83E−02345LGN40.853.98E−0357
LGN40.742.17E−02548LGN40.713.24E−02510
LGN40.853.86E−03556LGN40.826.63E−03560
LGN40.808.96E−03537LGN40.809.21E−03540
LGN40.956.09E−05514LGN40.826.74E−03649
LGN40.835.67E−0363LGN40.781.30E−02625
LGN40.722.73E−0265LGN40.835.67E−03623
LGN40.751.93E−02661LGN40.722.73E−02624
LGN40.771.45E−02621LGN50.871.06E−02322
LGN50.781.39E−02812LGN50.732.70E−02622
LGN570.832.18E−02325LGN570.703.46E−02551
LGN570.722.96E−02530LGN570.791.15E−02231
LGN60.761.85E−0271LGN60.703.54E−02747
LGN70.745.77E−02311LGN70.717.22E−02324
LGN70.713.06E−02537LGN70.713.07E−02638
LGN70.771.48E−02619
Table 42 Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID“—correlation set ID according to the correlated parameters specified in Table 40.“Exp. Set”—Expression set specified in Table 39. “R” = Pearson correlation coefficient; “P” = p value.

In order to produce a high throughput correlation analysis between plant phenotype and gene expression level, the present inventors utilized a sorghum oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 60,000 sorghum genes and transcripts. In order to define correlations between the levels of RNA expression with vigor related parameters, various plant characteristics of 10 different sorghum hybrids were analyzed. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Correlation of Sorghum varieties across ecotypes grown in growth chambers under temperature of 30° C. or 14° C. at low light (100 μE) or high light (250 μE) conditions.

Analyzed Sorghum tissues—All 10 selected Sorghum hybrids were sampled per each condition. Leaf tissue growing under 30° C. and low light (100 μE m−2 sec−1), 14° C. and low light (100 μE m−2 sec−1), 30° C. and high light (250 μE m−2 sec−1), 14° C. and high light (250 μE m−2 sec−1) were sampled at vegetative stage of four-five leaves and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 43 below.

TABLE 43
Sorghum transcriptome expression sets in field experiments
Expression
Descriptionset
Sorghum/leaf, under 14 Celsius degrees 1
and high light (light on)
Sorghum/leaf, under 14 Celsius degrees 2
and low light (light on)
Sorghum/leaf, under 30 Celsius degrees 3
and high light (light on)
Sorghum/leaf, under 30 Celsius degrees 4
and low light (light on)
Table 43: Provided are the sorghum transcriptome expression sets.

The following parameters were collected by sampling 8-10 plants per plot or by measuring the parameter across all the plants within the plot (Table 44 below).

Relative Growth Rate of vegetative dry weight was performed using Formula VII.

Leaves number—Plants were characterized for leaf number during growing period. In each measure, plants were measured for their leaf number by counting all the leaves of selected plants per plot.

Shoot FW—shoot fresh weight (FW) per plant, measurement of all vegetative tissue above ground.

Shoot DW—shoot dry weight (DW) per plant, measurement of all vegetative tissue above ground after drying at 70° C. in oven for 48 hours.

The average for each of the measured parameters was calculated and values are summarized in Tables 45-48 below. Subsequent correlation analysis was performed (Table 49). Results were then integrated to the database.

TABLE 44
Sorghum correlated parameters (vectors)
Correlated parameter withCorrelation ID
Leaves number1
Leaves temperature [° C.]2
RGR (relative growth rate)3
Shoot DW (dry weight) (gr.)4
Shoot FW (fresh weight) (gr.)5
Table 44. Provided are the Sorghum correlated parameters (vectors).
TABLE 45
Measured parameters in Sorghum accessions under 14° C. and low light (100 μE m−2 sec−1)
Ecotype/Line-Line-Line-Line-Line-Line-Line-Line-Line-Line-
Treatment12345678910
13.003.002.752.752.633.003.502.752.432.00
30.032−0.014−0.0220.024−0.037−0.0450.083NA−0.050−0.073
40.0410.0130.0130.0090.0110.0110.0310.0090.0090.009
50.550.300.330.280.360.360.580.220.180.30
Table 45: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (Seed ID) under 14° C. and low light (100 μE m−2 sec−1).
TABLE 46
Measured parameters in Sorghum accessions under 30° C. and low light (100 μE m−2 sec−1)
Ecotype/Line-Line-Line-Line-Line-Line-Line-Line-Line-Line-
Treatment12345678910
15.275.004.754.004.004.005.254.503.754.00
228.14029.81324.21323.13819.90021.35023.36029.92221.52524.440
30.0990.0980.0900.1220.1080.0840.1130.1210.0420.039
40.1140.0790.0710.0560.0930.0770.0400.0550.0360.050
51.351.050.880.951.291.130.710.790.670.82
Table 46: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (Seed ID) under 30° C. and low light (100 μE m−2 sec−1).
TABLE 47
Measured parameters in Sorghum accessions under 30° C. and high light (250 μE m−2 sec−1)
Ecotype/Line-Line-Line-Line-Line-Line-Line-Line-Line-Line-
Treatment12345678910
14.003.703.503.334.004.003.603.403.303.40
30.0980.0960.0870.0700.0940.1180.0970.0990.1060.121
40.0760.0500.0470.0360.0650.0850.0490.0420.0420.062
50.770.520.490.380.710.860.490.450.440.67
Table 47: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (Seed ID) under 30° C. and high light (250 μE m−2 sec−1).
TABLE 48
Measured parameters in Sorghum accessions under 14° C. and high light (250 μE m−2 sec−1)
Ecotype/Line-Line-Line-Line-Line-Line-Line-Line-Line-Line-
Treatment12345678910
30.0530.0520.0340.0400.0560.0610.0490.0560.0680.063
40.0370.0260.0210.0230.0370.0360.0220.0220.0230.027
50.370.250.220.250.430.370.240.230.240.27
Table 48: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (Seed ID) under 14° C. and high light (250 μE m−2 sec−1).
TABLE 49
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under combinations of
temperature and light conditions treatments (14° C. or 30° C. ; high light (250 μE m−2 sec−1)
or low light (100 μE m−2 sec−1) across Sorghum accessions
GeneExp. Corr.GeneExp.Corr.
NameRP valueset Set IDNameRP valuesetSet ID
LBY1480.703.50E−0223LBY1500.872.55E−0235
LBY1500.901.32E−0234LBY1500.777.42E−0231
LBY1510.786.98E−0233LBY1520.887.21E−0442
LBY1570.731.66E−0215LBY1570.712.03E−0214
LBY1580.721.84E−0244LBY1580.721.94E−0225
LBY1580.801.04E−0223LBY1580.777.20E−0235
LBY1580.834.25E−0234LBY1590.778.88E−0342
LBY1620.861.37E−0325LBY1620.791.17E−0223
LBY1620.861.25E−0324LBY1640.779.28E−0325
LBY1650.843.76E−0233LBY1680.741.34E−0215
LBY1680.702.40E−0214LBY1680.731.68E−0241
LBY1700.721.77E−0225LBY1700.916.12E−0423
LBY1710.751.32E−0243LBY1730.751.17E−0242
LBY1730.721.07E−0134LBY1740.749.02E−0233
LBY1750.758.56E−0235LBY1750.815.27E−0234
LBY1770.771.60E−0223LBY1770.882.20E−0235
LBY1770.901.47E−0234LBY1770.758.33E−0231
LBY1780.761.07E−0225LBY1780.796.08E−0235
LBY1780.815.07E−0234LBY1780.815.15E−0231
LBY1800.722.82E−0223LBY1800.749.20E−0235
LBY1800.796.04E−0234LBY1830.742.19E−0223
LBY1870.711.15E−0133LBY1870.711.16E−0134
LBY1900.712.27E−0242LBY1920.751.33E−0225
LBY1920.814.58E−0324LGN50.854.01E−0323
LGN50.796.00E−0233LGN540.937.13E−0333
LGN70.936.90E−0335LGN70.962.94E−0334
LGN70.937.34E−0331
Table 49. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID“—correlation set ID according to the correlated parameters specified in Table 44. “Exp. Set”—Expression set specified in Table 43. “R” = Pearson correlation coefficient; “P” = p value.

In order to produce a high throughput correlation analysis between plant phenotype and gene expression level, the present inventors utilized a sorghum oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 65,000 sorghum genes and transcripts. In order to define correlations between the levels of RNA expression with ABST, drought and yield components or vigor related parameters, various plant characteristics of 12 different sorghum hybrids were analyzed. Among them, 8 hybrids encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

12 Sorghum varieties were grown in 6 repetitive plots, in field. Briefly, the growing protocol was as follows:

1. Regular growth conditions: sorghum plants were grown in the field using commercial fertilization and irrigation protocols, which include 452 m3 water per dunam (1000 square meters) per entire growth period and fertilization of 14 units nitrogen per dunam per entire growth period (normal conditions). The nitrogen can be obtained using URAN® 21% (Nitrogen Fertilizer Solution; PCS Sales, Northbrook, Ill., USA).

2. Drought conditions: sorghum seeds were sown in soil and grown under normal condition until flowering stage (59 days from sowing), drought treatment was imposed by irrigating plants with 50% water relative to the normal treatment from this stage [309 m3 water per dunam (1000 square meters) per the entire growth period)], with normal fertilization (i.e., 14 units nitrogen per dunam).

Analyzed Sorghum tissues—All 12 selected Sorghum hybrids were sampled per each treatment. Tissues [Flag leaf, upper stem, lower stem, flower, grain] representing different plant characteristics, from plants growing under normal conditions and drought stress conditions were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 50 below.

TABLE 50
Sorghum transcriptome expression sets in field experiment
under normal conditions
Expression SetSet ID
Basal head at grain filling stage under normal 1
conditions
Distal head at grain filling stage under normal 2
conditions
Flag leaf at flowering stage under normal conditions3
Flag leaf at grain filling stage under normal conditions4
Up stem at flowering stage under normal conditions5
Up stem at grain filling stage under normal conditions6
Table 50: Provided are the sorghum transcriptome expression sets. Flag leaf = the leaf below the flower.
TABLE 51
Sorghum transcriptome expression sets in field experiment
under drought conditions
Expression SetSet ID
Basal head at grain filling stage under drought 1
conditions
Distal head at grain filling stage under drought 2
conditions
Flag leaf at flowering stage under drought conditions3
Flag leaf at grain filling stage under drought conditions4
Up stem at flowering stage under drought conditions5
Up stem at grain filling stage under drought conditions6
Table 51: Provided are the sorghum transcriptome expression sets under drought conditions. Flag leaf = the leaf below the flower.

Sorghum yield components and vigor related parameters assessment—Plants were phenotyped as shown in Tables 53-56 below. Some of the following parameters were collected using digital imaging system:

Grains yield per plant (gr)—At the end of the growing period heads were collected (harvest stage). Selected heads were separately threshed and grains were weighted. The average grain weight per plant was calculated by dividing the total grain weight by the number of selected plants.

Heads weight per plant (RP) (kg)—At the end of the growing period heads of selected plants were collected (harvest stage) from the rest of the plants in the plot. Heads were weighted after oven dry (dry weight), and average head weight per plant was calculated.

Grains num (SP) (num)—was calculated by dividing seed yield from selected plants by a single seed weight.

1000 grain (seed) weight (gr)—was calculated based on Formula XIV.

Grain area (cm2)—At the end of the growing period the grains were separated from the Plant ‘Head’. A sample of ˜200 grains were weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

Grain Circularity—The circularity of the grains was calculated based on Formula XIX.

Main Head Area (cm2)—At the end of the growing period selected “Main Heads” were photographed and images were processed using the below described image processing system. The “Main Head” area was measured from those images and was divided by the number of “Main Heads”.

Main Head length (cm)—At the end of the growing period selected “Main Heads” were photographed and images were processed using the below described image processing system. The “Main Head” length (longest axis) was measured from those images and was divided by the number of “Main Heads”.

Main Head Width (cm)—At the end of the growing period selected “Main Heads” were photographed and images were processed using the below described image processing system. The “Main Head” width (longest axis) was measured from those images and was divided by the number of “Main Heads”.

An image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

Additional parameters were collected either by sampling selected plants in a plot or by measuring the parameter across all the plants within the plot.

All Heads Area (cm2)—At the end of the growing period (harvest) selected plants main and secondary heads were photographed and images were processed using the above described image processing system. All heads area was measured from those images and was divided by the number of plants.

All Heads length (cm)—At the end of the growing period (harvest) selected plants main and secondary heads were photographed and images were processed using the above described image processing system. All heads length (longest axis) was measured from those images and was divided by the number of plants.

All Heads Width (cm)—At the end of the growing period main and secondary heads were photographed and images were processed using the above described image processing system. All heads width (longest axis) was measured from those images and was divided by the number of plants.

Head weight per plant (RP)/water until maturity (gr./lit)—At the end of the growing period heads were collected (harvest stage) from the rest of the plants in the plot. Heads were weighted after oven dry (dry weight), and average head weight per plant was calculated. Head weight per plant was then divided by the average water volume used for irrigation until maturity.

Harvest index (SP)—was calculated based on Formula XVI above.

Heads index (RP)—was calculated based on Formula XXXXVI above.

Head dry weight (GF) (gr.)—selected heads per plot were collected at the grain filling stage (R2-R3) and weighted after oven dry (dry weight).

Heads per plant (RP) (num)—At the end of the growing period total number of rest of plot heads were counted and divided by the total number of rest of plot plants.

Leaves temperature 2 (° C.)—leaf temperature was measured using Fluke IR thermometer 568 device. Measurements were done on opened leaves at grain filling stage.

Leaves temperature 6 (° C.)—leaf temperature was measured using Fluke IR thermometer 568 device. Measurements were done on opened leaves at late grain filling stage.

Stomatal conductance (F) (mmol m2 s−1)—plants were evaluated for their stomata conductance using SC-1 Leaf Porometer (Decagon devices) at flowering (F) stage. Stomata conductance readings were done on fully developed leaf, for 2 leaves and 2 plants per plot.

Stomatal conductance (GF) (mmol m2 s−1)—plants were evaluated for their stomata conductance using SC-1 Leaf Porometer (Decagon devices) at grain filling

(GF) stage. Stomata conductance readings were done on fully developed leaf, for 2 leaves and 2 plants per plot.

Relative water content 2 (RWC, %)—was calculated based on Formula I at grain filling.

Specific leaf area (SLA) (GF)—was calculated based on Formula XXXVII above.

Waxy leaf blade—was defined by view of leaf blades % of Normal and % of grayish (powdered coating/frosted appearance). Plants were scored for their waxiness according to the scale 0=normal, 1=intermediate, 2=grayish.

SPAD 2 (SPAD unit)—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at flowering. SPAD meter readings were done on fully developed leaf. Three measurements per leaf were taken per plant.

SPAD 3 (SPAD unit)—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at grain filling. SPAD meter readings were done on fully developed leaf. Three measurements per leaf were taken per plant.

% yellow leaves number (F) (percentage)—At flowering stage, leaves of selected plants were collected. Yellow and green leaves were separately counted. Percent of yellow leaves at flowering was calculated for each plant by dividing yellow leaves number per plant by the overall number of leaves per plant and multiplying by 100.

% yellow leaves number (H) (percentage)—At harvest stage, leaves of selected plants were collected. Yellow and green leaves were separately counted. Percent of yellow leaves at flowering was calculated for each plant by dividing yellow leaves number per plant by the overall number of leaves per plant and multiplying by 100.

% Canopy coverage (GF)—was calculated based on Formula XXXII above.

LAI LP-80 (GF)—Leaf area index values were determined using an AccuPAR Centrometer Model LP-80 and measurements were performed at grain filling stage with three measurements per plot.

Leaves area per plant (GF) (cm2)—total leaf area of selected plants in a plot. This parameter was measured using a Leaf area-meter at the grain filling period (GF).

Plant height (H) (cm)—Plants were characterized for height at harvest. Plants were measured for their height using a measuring tape. Height was measured from ground level to top of the longest leaf.

Relative growth rate of Plant height (cm/day)—was calculated based on Formula III above.

Number days to Heading (num)—Calculated as the number of days from sowing till 50% of the plot arrives to heading.

Number days to Maturity (num)—Calculated as the number of days from sowing till 50% of the plot arrives to seed maturation.

Vegetative DW per plant (gr.)—At the end of the growing period all vegetative material (excluding roots) from plots were collected and weighted after oven dry (dry weight). The biomass per plant was calculated by dividing total biomass by the number of plants.

Lower Stem dry density (F) (gr/cm3)—measured at flowering. Lower internodes from selected plants per plot were separated from the plants and weighted (dry weight). To obtain stem density, internode dry weight was divided by the internode volume.

Lower Stem dry density (H) (gr/cm3)—measured at harvest. Lower internodes from selected plants per plot were separated from the plant and weighted (dry weight). To obtain stem density, internode dry weight was divided by the internode volume.

Lower Stem fresh density (F) (gr/cm3)—measured at flowering. Lower internodes from selected plants per plot were separated from the plants and weighted (fresh weight). To obtain stem density, internodes fresh weight was divided by the stem volume.

Lower Stem fresh density (H) (gr/cm3)—measured at harvest. Lower internodes from selected plants per plot were separated from the plants and weighted (fresh weight). To obtain stem density, internodes fresh weight was divided by the stem volume.

Lower Stem length (F) (cm)—Lower internodes from selected plants per plot were separated from the plants at flowering (F). Internodes were measured for their length using a ruler.

Lower Stem length (H) (cm)—Lower internodes from selected plants per plot were separated from the plant at harvest (H). Internodes were measured for their length using a ruler.

Lower Stem width (F) (cm)—Lower internodes from selected plants per plot were separated from the plant at flowering (F). Internodes were measured for their width using a caliber.

Lower Stem width (GF) (cm)—Lower internodes from selected plants per plot were separated from the plant at grain filling (GF). Internodes were measured for their width using a caliber.

Lower Stem width (H) (cm)—Lower internodes from selected plants per plot were separated from the plant at harvest (H). Internodes were measured for their width using a caliber.

Upper Stem dry density (F) (gr/cm3)—measured at flowering (F). Upper internodes from selected plants per plot were separated from the plant and weighted (dry weight). To obtain stem density, stem dry weight was divided by the stem volume.

Upper Stem dry density (H) (gr/cm3)—measured at harvest (H). Upper stems from selected plants per plot were separated from the plant and weighted (dry weight). To obtain stem density, stem dry weight was divided by the stem volume.

Upper Stem fresh density (F) (gr/cm3)—measured at flowering (F). Upper stems from selected plants per plot were separated from the plant and weighted (fresh weight). To obtain stem density, stem fresh weight was divided by the stem volume.

Upper Stem fresh density (H) (gr/cm3)—measured at harvest (H). Upper stems from selected plants per plot were separated from the plant and weighted (fresh weight). To obtain stem density, stem fresh weight was divided by the stem volume.

Upper Stem length (F) (cm)—Upper stems from selected plants per plot were separated from the plant at flowering (F). Stems were measured for their length using a ruler.

Upper Stem length (H) (cm)—Upper stems from selected plants per plot were separated from the plant at harvest (H). Stems were measured for their length using a ruler.

Upper Stem width (F) (cm)—Upper stems from selected plants per plot were separated from the plant at flowering (F). Stems were measured for their width using a caliber.

Upper Stem width (H) (cm)—Upper stems from selected plants per plot were separated from the plant at harvest (H). Stems were measured for their width using a caliber.

Upper Stem volume (H)—was calculated based on Formula L above.

Data parameters collected are summarized in Table 52, herein below.

TABLE 52
Sorghum correlated parameters under normal and drought
growth conditions (vectors)
Correlated parameter withCorrelation ID
% Canopy coverage (GF) [%]1
% yellow leaves number (F) [%]2
% yellow leaves number (H) [%]3
1000 grain weight [gr.]4
All Heads Area [cm2]5
All Heads Width [cm]6
All Heads length [cm]7
Grain Circularity [cm2/cm2]8
Grain area [cm2]9
Grains num (SP) [num]10
Grains yield per plant [gr.]11
Harvest index (SP)12
Head DW (GF) [gr.]13
Head weight per plant (RP)/water until maturity [gr./lit]14
Heads index (RP)15
Heads per plant (RP) [num]16
Heads weight per plant (RP) [kg]17
LAI LP-80 (GF)18
Leaves area per plant (GF) [cm2]19
Leaves temperature_2 [° C.]20
Leaves temperature_6 [° C.]21
Lower Stem dry density (F) [gr./cm3]22
Lower Stem dry density (H) [gr./cm3]23
Lower Stem fresh density (F) [gr./cm3]24
Lower Stem fresh density (H) [gr./cm3]25
Lower Stem length (F) [cm]26
Lower Stem length (H) [cm]27
Lower Stem width (F) [cm]28
Lower Stem width (GF) [cm]29
Lower Stem width (H) [cm]30
Main Head Area [cm2]31
Main Head Width [cm]32
Main Head length [cm]33
Num days to Heading [num]34
Num days to Maturity [num]35
Plant height (H) [cm]36
Plant height growth [cm/day]37
RWC 2 [%]38
SPAD 2 [SPAD unit]39
SPAD 3 [SPAD unit]40
Specific leaf area (GF) [cm2/gr]41
Stomatal conductance (F) [mmol m−2 s−1]42
Stomatal conductance (GF) [mmol m−2 s−1]43
Upper Stem dry density (F) [gr/cm3]44
Upper Stem dry density (H) [gr/cm3]45
Upper Stem fresh density (F) [gr/cm3]46
Upper Stem fresh density (H) [gr/cm3]47
Upper Stem length (F) [cm]48
Upper Stem length (H) [cm]49
Upper Stem volume (H) [cm3]50
Upper Stem width (F) [cm]51
Upper Stem width (H) [cm]52
Vegetative DW per plant [gr]53
Waxy leaf blade [scoring 0-2]54
Table 52. Provided are the Sorghum correlated parameters (vectors). “gr.” = grams; “kg” = kilograms“; “RP” = Rest of plot; “SP” = Selected plants; “num” = Number; “lit” = Liter; “SPAD” = chlorophyll levels; “FW” = Plant Fresh weight; “DW” = Plant Dry weight; “GF” = Grain filling growth stage; “F” = Flowering stage; “H” = Harvest stage; “cm” = Centimeter; “mmol” = millimole.

Twelve different sorghum hybrids were grown and characterized for different parameters (Table 52). The average for each of the measured parameter was calculated using the JMP software (Tables 53-56) and a subsequent correlation analysis was performed (Tables 57-58). Results were then integrated to the database.

TABLE 53
Measured parameters in Sorghum accessions under normal conditions
Line/Corr.
IDLine-1Line-2Line-3Line-4Line-5Line-6
194.98569.21997.52583.59192.77384.341
20.6110.8530.5480.3140.7130.573
30.4060.1110.3700.1260.4850.149
427.62322.81914.87618.46728.47127.138
5114.48379.68577.87379.688218.954100.146
65.5364.9256.1974.5589.9886.545
727.73821.36017.81123.73932.18519.449
80.87220.86530.87140.88210.86820.8856
90.1540.1190.0980.1220.1540.149
1012730.16281.94599.515182.612628.117505.0
1143.86718.0138.53633.16844.32660.190
120.2180.1850.0540.2530.2610.375
1329.30712.92427.94741.32038.86715.243
140.2480.1630.1360.1970.1780.285
150.3430.4020.2410.3380.3610.532
16NA1.4201.7421.2960.9741.727
170.05690.03740.03120.04520.04090.0655
186.272NA6.1115.4225.432NA
192825.81911.22030.02866.81554.72342.6
2032.439732.147933.199332.347232.400031.0687
2133.348633.933333.231533.329233.616733.8037
221.5721.3712.8112.1712.3491.404
231.8322.0273.4762.5273.0481.801
2410.466710.63808.550910.851511.317010.0379
259.79110.38210.52110.49011.2837.286
267.7873.50014.9003.41311.1218.158
277.9924.83012.8733.11710.7608.302
2819.48916.71814.70317.94214.82615.979
2920.04120.88514.66118.79715.29115.874
3019.12415.50814.36820.27715.15015.143
31114.48380.83777.87379.688218.954112.095
325.5364.9886.1974.5589.9887.191
3327.73821.61017.81123.73932.18520.663
3489.40065.66788.16774.00084.00071.500
3512610711510710792
36182.125104.563143.79299.010173.550170.063
372.8651.8522.5511.6533.1242.733
3872.07591.72179.53386.66474.00990.557
3947.80449.27544.66749.08041.68947.181
4047.65035.42245.78242.12241.44933.393
4180.187170.31854.25976.90051.450163.058
42670.3811017.614584.437640.600349.994553.500
43382.950809.436468.742486.858421.500633.092
44NA1.238NANA2.1091.230
452.0471.7672.3631.8341.7301.859
46NA9.790NANA10.4449.383
476.6058.9246.4258.2507.2434.635
48NA42.625NANANA9.208
4938.78345.04924.53052.49238.38534.019
502352.4832169.089968.8092452.5591997.7082767.520
518.2268.9787.1137.1256.81510.421
528.7427.4596.9857.6777.83310.072
530.12550.05030.12230.07600.09660.0619
54NA2.000NANANA1.063
Table 53: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (Line) under normal conditions. Growth conditions are specified in the experimental procedure section. ”NA” = not available.
TABLE 54
Measured parameters in additional Sorghum accessions under normal growth conditions
Line/Corr.
IDLine-7Line-8Line-9Line-10Line-11Line-12
180.61775.68180.17179.65865.91589.644
20.5840.5440.2080.4840.3510.574
30.0760.0220.0180.1290.0960.424
418.47018.45723.47925.93724.29420.366
585.403138.98970.04378.551152.012145.250
65.4536.3714.4794.5737.4086.316
721.29830.86319.17421.01627.84529.966
80.88790.88420.88950.89740.88730.8982
90.1170.1210.1220.1290.1230.125
1013887.921509.813138.716910.018205.224801.2
1132.05149.62938.99854.80855.26564.740
120.3090.4090.3430.3600.3140.318
1310.23527.60731.56325.84721.32674.493
140.2490.2710.2840.3150.2160.325
150.4770.5540.5380.5020.4710.478
161.3721.0812.2001.5231.1681.015
170.05710.06210.06520.07240.04950.0746
18NANANANANA5.790
192008.92212.01495.51997.82692.12647.7
2032.856233.033331.584432.408332.702132.7500
2133.569433.892632.276432.925532.376533.3296
221.9752.0492.2931.8711.7082.138
232.9332.4712.5572.4762.7441.640
2410.707210.818410.838110.836010.701310.5546
2510.08910.85311.00311.1997.3578.622
262.8333.2174.0174.8822.8188.786
272.9733.7195.9035.0693.7839.979
2817.75218.67713.54314.99914.67516.371
2921.45121.03719.48816.47319.93919.413
3017.38216.33413.31314.98216.36018.739
3185.403138.98998.915114.696154.742147.871
325.4536.3715.8976.2747.4976.404
3321.29830.86322.50324.72228.25630.450
3467.66763.66756.00059.00056.00075.333
3510792107107107107
3654.93894.771101.604112.97988.326163.792
370.8811.5661.7331.9111.5932.865
3888.84190.21190.76588.47586.67482.031
3952.08953.72752.56753.86251.77744.129
4050.17441.89846.82846.79648.59740.065
41194.138213.658212.049214.648157.44067.729
42473.775796.950879.000810.325889.012607.200
43485.718886.017730.573886.550784.958384.530
441.2611.5011.9381.9241.956NA
451.7561.7471.7881.6631.8681.674
4610.2159.6879.98110.73710.326NA
477.2347.3117.9237.0555.3964.820
4826.58360.36453.60055.00044.583NA
4928.80859.66351.98354.79445.54848.496
501607.6653510.6622907.8093639.4533045.6373301.794
519.4309.5378.0438.8537.9138.071
528.4178.6078.5139.1879.1369.311
530.04460.04460.04610.06260.08610.0991
541.1251.4381.0001.7501.000NA
Table 54: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (Seed ID) under normal conditions. Growth conditions are specified in the experimental procedure section. ”NA” = not available.
TABLE 55
Measured parameters in Sorghum accessions under drought growth conditions
Line/Corr.
IDLine-1Line-2Line-3Line-4Line-5Line-6
186.88761.33875.02377.78175.52480.375
20.3710.7280.4070.6950.4250.878
30.2860.4240.2560.4780.3660.394
424.16019.80314.20914.63925.54020.829
572.38693.83930.77055.311131.24276.546
64.2725.3953.5113.7226.9995.270
722.32524.38812.15919.92627.60318.164
80.87340.87180.86260.87540.87080.8866
90.14220.11430.09460.11150.14420.1309
106968545239609839648212403
1123.83313.6736.99118.23420.71734.426
120.1350.1580.0650.1870.2550.291
13NA12.10324.83137.04023.29311.722
140.1100.0940.0300.0940.0560.116
150.1570.3590.0710.2440.0560.511
16NA2.0171.0001.041NA1.058
170.02270.01940.00630.01950.01150.0239
183.582NA2.6423.4282.805NA
193308.11206.02464.61142.92116.31550.0
2036.08535.83335.46436.57635.86833.764
2135.84736.03036.52638.39935.91536.452
221.7581.4582.2672.7842.3931.276
231.9581.6052.2712.4943.5551.253
249.61710.4597.48710.78710.2509.660
259.6768.3157.38410.10610.7215.513
267.7874.02716.4603.28710.82910.818
277.0644.50916.2283.3059.88510.500
2819.20616.62714.92918.35315.79513.963
2918.97918.36516.01719.12515.48714.340
3020.08616.09914.43918.47115.46914.061
3172.38696.61632.82055.311131.24285.867
324.2725.5263.6963.7226.9995.806
3322.32524.78712.39619.92627.60319.408
3491.50066.33388.00074.66790.00071.000
35115.092.0115.0107.0107.0107.0
36104.64683.240113.03169.036104.200133.542
371.5861.5561.8311.2791.7982.024
3865.59478.50983.84054.86069.74174.513
3945.78746.96738.77538.18835.90743.352
4043.45826.98036.00034.14027.29125.840
4175.917143.32362.92844.43461.434106.055
4230.407774.84261.78868.26331.208330.458
43135.117561.18394.442276.21764.117217.192
44NA1.436NANANA1.376
452.3281.4322.1691.9231.8481.660
460.8609.887NANANA8.097
479.4515.7177.2588.6026.5333.604
4825.00040.000NANANA15.909
4926.60939.56715.49231.05531.10020.723
501288.22524.3468.41128.61370.31724.9
5110.0839.4226.4216.7737.8099.702
527.7888.9195.8736.6287.45310.203
530.08200.03920.08570.06230.01720.0475
54NA2.000NANANA1.000
Table 55: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (Seed ID) under drought conditions. Growth conditions are specified in the experimental procedure section.
TABLE 56
Measured parameters in additional Sorghum accessions under drought growth conditions
Line/Corr.
IDLine-7Line-8Line-9Line-10Line-11Line-12
164.24670.80264.11075.67772.09587.168
20.6780.8070.7880.7310.7410.831
30.3260.3290.3640.3770.4690.625
415.43213.29917.87720.23918.70617.951
567.460112.58082.793100.459122.87786.267
64.5704.9594.9945.5607.2924.721
719.61430.76320.98523.99224.82024.418
80.88980.88350.89520.89740.89890.8889
90.10940.10190.10670.11620.11120.1205
1099801749414526157291094913808
1119.09829.21631.74440.21325.22829.520
120.2350.3250.3350.3420.2220.223
139.32419.28633.14727.31524.68050.380
140.1270.1710.2030.2440.1600.151
150.4450.4800.5440.5240.4620.348
161.1391.0021.1811.1131.2940.851
170.02620.03530.04200.05030.03300.0312
18NANANANANA3.941
191476.21773.11052.71408.5417.21247.1
2037.46941.24236.47136.99436.76735.942
2136.24836.50735.01136.30435.79836.509
221.7481.6912.3751.6151.5162.031
232.3811.7051.6601.6412.3621.598
2410.87210.35711.27710.70210.7159.678
257.5077.5448.7548.3404.5257.762
262.8184.0384.7504.7253.2927.664
273.1154.1234.3135.7423.5305.896
2817.19514.90413.32214.52513.77217.270
2917.22820.03715.97916.87916.95119.561
3017.00116.37213.72214.66614.04119.479
3168.685114.58194.240104.215125.80487.375
324.6245.0195.5715.7027.3854.774
3319.90131.12122.15724.36225.33324.757
3468.33363.00056.00059.66756.00076.667
3592.092.092.092.092.0107.0
3647.82380.91793.427104.14675.804105.625
370.9241.4411.5981.8691.3281.895
3871.70366.86668.61568.24870.70176.334
3947.57944.66551.92148.83540.02137.598
4042.91930.92943.68637.80538.41532.486
41128.668132.895138.516133.25778.29347.343
42387.650582.067985.592834.958753.41754.162
4381.209129.775241.650322.917257.033127.167
441.4711.8062.1181.7922.073NA
451.5501.6541.6211.6341.7121.759
4610.69310.12210.48610.01210.557NA
474.6095.1825.3925.3992.9755.529
4825.77350.09146.84546.87544.250NA
4924.07248.60248.78148.73138.21326.050
501507.82865.32857.92956.01964.31288.5
519.0667.9258.1708.5437.6727.365
528.8788.6058.5868.7278.1267.850
530.03780.03280.03260.04350.06130.0761
541.2501.6881.1251.7501.375NA
Table 56: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (Seed ID) under drought conditions. Growth conditions are specified in the experimental procedure section.
TABLE 57
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under normal conditions across
Sorghum accessions
Corr.Corr.
GeneExp.Set GeneExp.Set
NameRP valuesetIDNameRP valuesetID
LBY140.793.45E−02251LBY140.721.09E−01216
LBY140.721.21E−02517LBY140.721.21E−02514
LBY140.797.04E−03452LBY140.812.75E−03351
LBY140.731.00E−02338LBY140.841.73E−02145
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LBY1880.717.13E−02149LBY1890.803.08E−0228
LBY1890.741.37E−02653LBY1890.707.81E−02346
LBY1890.717.23E−02344LBY1890.748.99E−03313
LBY1890.832.06E−02110LBY1890.726.91E−02122
LBY1890.871.16E−02113LBY1890.736.03E−02130
LBY1900.727.04E−02227LBY1900.755.10E−0223
LBY1900.923.14E−03213LBY1900.768.00E−02554
LBY1900.787.15E−03428LBY1900.842.55E−03445
LBY1900.911.10E−0436LBY1900.749.33E−03331
LBY1900.901.88E−04332LBY1900.757.88E−0335
LBY1910.793.64E−02252LBY1910.755.26E−02544
LBY1910.824.57E−02548LBY1910.761.05E−0248
LBY1910.712.10E−02415LBY1910.832.70E−03452
LBY1910.824.02E−03417LBY1910.824.02E−03414
LBY1910.741.45E−02411LBY1910.841.32E−03352
LBY1910.701.64E−02317LBY1910.701.64E−02314
LBY1910.793.51E−02151LBY1920.707.84E−02210
LBY1920.923.39E−03213LBY1920.741.46E−02516
LBY1920.882.24E−02548LBY1920.731.56E−02645
LBY1920.823.39E−0348LBY1920.731.71E−0246
LBY1920.741.52E−02437LBY1920.842.11E−03427
LBY1920.805.58E−03417LBY1920.712.15E−02431
LBY1920.805.58E−03414LBY1920.842.15E−03432
LBY1920.712.07E−02411LBY1920.823.34E−03426
LBY1920.764.59E−02110LBY1920.861.20E−02138
LBY1920.897.81E−03137LBY1920.889.35E−03127
LBY1920.707.91E−0213LBY1920.793.63E−02111
LBY1920.861.27E−02126LBY1920.861.38E−02136
LGN30.851.46E−02251LGN30.717.59E−02252
LGN30.774.49E−02245LGN30.802.94E−02546
LGN30.793.59E−02544LGN30.793.65E−03540
LGN30.731.62E−02651LGN30.731.57E−02445
LGN30.748.56E−03343LGN30.731.01E−02341
LGN30.721.33E−02339LGN30.717.45E−0214
LGN30.745.94E−02128LGN30.923.11E−03145
LGN30.745.53E−02135LGN50.932.78E−03210
LGN50.774.43E−02250LGN50.717.23E−02243
LGN50.707.72E−02211LGN50.774.41E−02213
LGN50.736.33E−02249LGN50.726.68E−02242
LGN50.701.59E−02553LGN50.793.68E−03535
LGN50.835.88E−03616LGN50.823.90E−03645
LGN50.702.32E−02635LGN50.814.78E−03443
LGN50.761.08E−02441LGN50.788.41E−03439
LGN50.945.85E−03448LGN50.796.58E−03442
LGN50.932.31E−03344LGN50.721.06E−01348
LGN50.764.70E−02117LGN50.764.70E−02114
LGN50.851.65E−02145LGN540.717.25E−02245
LGN540.897.01E−03544LGN540.901.48E−02548
LGN540.721.97E−0266LGN540.702.35E−0267
LGN540.741.46E−02631LGN540.814.71E−0363
LGN540.787.66E−0361LGN540.787.88E−0365
LGN540.741.54E−02422LGN540.774.38E−02346
LGN540.764.60E−02128LGN540.755.05E−0219
LGN540.941.97E−03145LGN570.764.91E−02227
LGN570.914.02E−03213LGN570.812.57E−03543
LGN570.777.17E−02554LGN570.866.84E−04542
LGN570.712.10E−02623LGN570.803.07E−02646
LGN570.965.21E−04644LGN570.741.53E−02631
LGN570.731.61E−02632LGN570.712.23E−0265
LGN570.778.75E−03624LGN570.741.44E−02447
LGN570.823.66E−03442LGN570.711.38E−02310
LGN570.726.92E−02344LGN570.793.43E−02110
LGN570.707.71E−02137LGN570.896.48E−0317
LGN570.851.66E−02127LGN570.745.98E−02131
LGN570.888.19E−03133LGN570.841.87E−0213
LGN570.736.36E−02126LGN570.906.07E−03113
LGN570.803.20E−0215LGN60.736.12E−02221
LGN60.851.56E−02544LGN60.777.16E−02548
LGN60.814.23E−03643LGN60.871.18E−03641
LGN60.851.80E−03639LGN70.812.74E−0228
LGN70.851.62E−02210LGN70.906.27E−03243
LGN70.727.05E−02217LGN70.793.27E−02241
LGN70.727.05E−02214LGN70.832.21E−02239
LGN70.793.46E−02249LGN70.755.45E−02242
LGN70.774.32E−02546LGN70.775.71E−03522
LGN70.803.06E−02544LGN70.767.11E−03513
LGN70.741.43E−02623LGN70.745.48E−02644
LGN70.862.80E−02648LGN70.814.33E−03624
LGN70.793.43E−02444LGN70.731.73E−02413
LGN70.832.03E−0218LGN70.726.67E−02110
LGN70.764.84E−02115LGN70.793.54E−02112
LGN70.812.65E−02138LGN70.717.46E−02122
LGN70.736.20E−02150LGN70.793.61E−02143
LGN70.793.40E−02117LGN70.872.55E−02116
LGN70.888.71E−03141LGN70.793.40E−02114
LGN70.793.44E−02139LGN70.717.11E−02111
LGN70.727.08E−02149
Table 57. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID“—correlation set ID according to the correlated parameters specified in Table 52. “Exp. Set”—Expression set specified in Table 50. “R” = Pearson correlation coefficient; “P” = p value
TABLE 58
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under drought conditions across
Sorghum accessions
Corr.Corr.
GeneExp.Set GeneExp.Set
NameRP valuesetIDNameRP valuesetID
LBY140.711.52E−02351LBY140.793.46E−03339
LBY1480.742.31E−02651LBY1480.701.59E−02552
LBY1480.793.60E−03315LBY1480.859.14E−04352
LBY1480.745.49E−02346LBY1480.901.75E−04341
LBY1480.793.64E−03339LBY1480.831.64E−03342
LBY1490.865.63E−03152LBY1490.705.27E−0212
LBY1490.707.96E−02546LBY1490.757.97E−0357
LBY1490.731.00E−02531LBY1490.766.35E−03533
LBY1490.721.04E−01554LBY1490.803.07E−02548
LBY1490.749.12E−0355LBY1490.701.62E−0252
LBY1490.901.57E−02444LBY1490.896.65E−03448
LBY1490.711.52E−02449LBY1490.831.63E−0334
LBY1490.775.98E−0336LBY1490.748.55E−03332
LBY1490.758.22E−0339LBY1490.711.39E−0235
LBY1500.937.82E−0417LBY1500.782.38E−02120
LBY1500.921.25E−03133LBY1500.721.04E−01154
LBY1500.832.08E−02148LBY1500.772.63E−0215
LBY1500.792.09E−02124LBY1500.835.40E−03647
LBY1500.843.86E−02644LBY1500.826.19E−03645
LBY1500.854.09E−03619LBY1500.766.94E−03427
LBY1500.793.79E−03426LBY1500.721.33E−02419
LBY1500.757.61E−03434LBY1500.775.56E−03435
LBY1500.867.81E−04347LBY1500.721.16E−02353
LBY1500.956.42E−06345LBY1500.749.71E−0331
LBY1500.711.39E−02319LBY1500.892.72E−04334
LBY1500.901.79E−04335LBY1500.705.30E−02221
LBY1510.791.06E−02650LBY1510.722.86E−02617
LBY1510.732.50E−02631LBY1510.722.86E−02614
LBY1510.726.74E−02648LBY1510.826.38E−03649
LBY1510.761.77E−0265LBY1510.775.18E−03350
LBY1510.724.23E−0224LBY1510.772.52E−02223
LBY1510.782.13E−0226LBY1510.772.46E−02232
LBY1520.801.81E−02152LBY1520.784.74E−0356
LBY1520.784.49E−03532LBY1520.794.08E−03421
LBY1520.711.53E−02321LBY1520.701.20E−01354
LBY1530.866.38E−0317LBY1530.758.41E−02144
LBY1530.801.66E−02120LBY1530.865.86E−03133
LBY1530.701.20E−01154LBY1530.923.37E−03148
LBY1530.857.37E−03149LBY1530.713.35E−02622
LBY1530.761.65E−02627LBY1530.917.69E−04653
LBY1530.809.94E−03626LBY1530.818.80E−03645
LBY1530.771.44E−02634LBY1530.801.02E−02635
LBY1530.775.75E−03453LBY1530.803.38E−03321
LBY1530.701.65E−02353LBY1530.749.35E−02354
LBY1540.705.19E−02145LBY1540.762.87E−02119
LBY1540.726.79E−02646LBY1540.752.09E−0266
LBY1540.862.74E−03650LBY1540.809.86E−03643
LBY1540.713.36E−02631LBY1540.763.02E−02616
LBY1540.836.19E−03641LBY1540.891.83E−02654
LBY1540.755.08E−02648LBY1540.818.74E−03649
LBY1540.891.34E−03642LBY1540.775.15E−03543
LBY1540.881.78E−03516LBY1540.711.13E−01444
LBY1540.711.47E−02420LBY1540.701.59E−02321
LBY1540.749.32E−02354LBY1540.793.47E−02348
LBY1540.724.46E−0224LBY1540.714.64E−02247
LBY1540.872.44E−02216LBY1540.753.04E−0229
LBY1540.821.34E−02219LBY1550.724.33E−02151
LBY1550.714.71E−02127LBY1550.705.09E−02126
LBY1550.724.61E−02135LBY1550.731.01E−02538
LBY1550.766.13E−03452LBY1550.803.32E−03319
LBY1550.866.10E−0324LBY1550.753.27E−0226
LBY1550.811.45E−02232LBY1550.858.02E−0329
LBY1560.714.81E−02152LBY1560.786.65E−02444
LBY1560.731.07E−0242LBY1560.831.52E−03315
LBY1560.883.52E−04352LBY1560.766.98E−03341
LBY1560.711.53E−0232LBY1570.753.22E−02129
LBY1570.801.65E−02120LBY1570.781.40E−02650
LBY1570.862.84E−02644LBY1570.713.25E−02617
LBY1570.713.13E−02641LBY1570.713.25E−02614
LBY1570.924.22E−04639LBY1570.761.66E−02649
LBY1570.844.78E−03642LBY1570.742.14E−02624
LBY1570.793.75E−03450LBY1570.936.34E−03444
LBY1570.701.64E−02441LBY1570.897.85E−03448
LBY1570.776.06E−03449LBY1570.785.00E−03442
LBY1570.757.51E−03315LBY1570.707.92E−02346
LBY1570.803.36E−03341LBY1570.784.69E−03339
LBY1570.859.19E−04342LBY1570.743.67E−02251
LBY1570.962.56E−03216LBY1570.753.28E−02240
LBY1580.772.63E−02128LBY1580.782.12E−0219
LBY1580.849.79E−03145LBY1580.893.13E−03119
LBY1580.938.62E−04134LBY1580.791.85E−02135
LBY1580.762.93E−02130LBY1580.817.60E−03647
LBY1580.781.23E−02645LBY1580.881.77E−03619
LBY1580.962.70E−03554LBY1580.784.82E−03545
LBY1580.956.52E−06519LBY1580.758.13E−03534
LBY1580.749.14E−02444LBY1580.766.79E−03347
LBY1580.758.15E−03345LBY1580.757.84E−03319
LBY1580.705.14E−02253LBY1580.774.22E−02213
LBY1580.911.66E−0321LBY1590.724.28E−02128
LBY1590.743.65E−0219LBY1590.831.00E−02134
LBY1590.752.07E−0266LBY1590.703.41E−02643
LBY1590.713.08E−02632LBY1590.791.07E−02516
LBY1590.805.50E−02354LBY1590.712.27E−02313
LBY1590.883.91E−03223LBY1600.863.19E−03615
LBY1600.761.81E−02652LBY1600.781.41E−02612
LBY1600.914.47E−03646LBY1600.732.60E−0266
LBY1600.881.54E−03650LBY1600.767.73E−02644
LBY1600.791.21E−02631LBY1600.863.16E−03641
LBY1600.732.41E−02632LBY1600.755.26E−02648
LBY1600.817.85E−03649LBY1600.742.13E−0265
LBY1600.863.01E−03642LBY1600.713.12E−0262
LBY1600.891.15E−03624LBY1600.821.90E−03410
LBY1600.758.22E−03412LBY1600.721.29E−02322
LBY1600.766.75E−03321LBY1610.801.67E−02110
LBY1610.814.97E−02144LBY1610.753.29E−0211
LBY1610.809.86E−0361LBY1610.784.29E−03410
LBY1610.822.08E−03310LBY1610.731.00E−02317
LBY1610.731.00E−02314LBY1610.711.40E−02311
LBY1610.865.58E−03210LBY1610.772.60E−02251
LBY1610.734.15E−02212LBY1610.714.85E−0227
LBY1610.714.73E−02250LBY1610.782.20E−02217
LBY1610.782.20E−02214LBY1610.743.69E−02233
LBY1610.874.65E−03211LBY1620.782.33E−0217
LBY1620.762.83E−02127LBY1620.772.46E−02133
LBY1620.834.12E−02154LBY1620.714.83E−02126
LBY1620.745.97E−02148LBY1620.772.55E−02135
LBY1620.831.72E−03538LBY1620.758.05E−03438
LBY1620.757.85E−03315LBY1620.749.60E−03352
LBY1620.841.81E−02346LBY1620.867.16E−04341
LBY1630.783.70E−02148LBY1630.752.12E−02615
LBY1630.915.00E−03646LBY1630.713.13E−0266
LBY1630.844.85E−03650LBY1630.714.79E−02616
LBY1630.853.56E−03641LBY1630.711.13E−01654
LBY1630.726.67E−02648LBY1630.771.45E−02649
LBY1630.916.26E−04642LBY1630.703.52E−02624
LBY1630.731.01E−02540LBY1630.749.03E−02454
LBY1630.841.70E−02448LBY1630.858.21E−0433
LBY1630.888.95E−04313LBY1630.831.12E−0227
LBY1630.911.55E−03220LBY1630.811.46E−02233
LBY1630.821.33E−02249LBY1640.792.02E−02150
LBY1640.805.36E−02144LBY1640.812.84E−02113
LBY1640.871.07E−02148LBY1640.884.30E−03149
LBY1640.801.60E−02142LBY1640.743.44E−02124
LBY1640.791.07E−02620LBY1640.713.32E−02649
LBY1640.858.49E−04520LBY1640.731.05E−02421
LBY1640.711.38E−02325LBY1640.721.17E−02323
LBY1640.757.75E−03347LBY1640.749.12E−03322
LBY1640.731.12E−02345LBY1640.848.80E−0323
LBY1640.932.70E−03213LBY1650.781.28E−02641
LBY1650.722.97E−02639LBY1650.752.04E−02642
LBY1650.826.80E−03624LBY1650.748.66E−03543
LBY1650.793.82E−03421LBY1650.731.11E−02325
LBY1650.803.33E−03323LBY1650.782.34E−0224
LBY1650.772.46E−0229LBY1660.762.71E−02150
LBY1660.911.27E−02144LBY1660.914.69E−03113
LBY1660.981.43E−04148LBY1660.937.15E−04149
LBY1660.721.98E−02413LBY1660.748.67E−0341
LBY1660.711.50E−02430LBY1660.793.99E−0333
LBY1660.787.39E−03313LBY1660.743.56E−02210
LBY1660.743.39E−02217LBY1660.724.46E−02241
LBY1660.743.39E−02214LBY1660.883.74E−03220
LBY1660.743.62E−02242LBY1670.761.76E−02628
LBY1670.817.70E−0369LBY1670.752.09E−0261
LBY1670.853.55E−03630LBY1670.766.88E−03423
LBY1670.784.35E−0339LBY1670.812.53E−0331
LBY1670.793.94E−03334LBY1670.721.29E−02335
LBY1670.945.26E−04251LBY1670.902.25E−03252
LBY1670.705.23E−02211LBY1680.801.75E−02110
LBY1680.772.66E−02150LBY1680.962.74E−03144
LBY1680.743.49E−02143LBY1680.792.08E−02117
LBY1680.792.08E−02114LBY1680.755.19E−02113
LBY1680.745.62E−02148LBY1680.782.17E−02149
LBY1680.811.37E−02142LBY1680.753.11E−02124
LBY1680.771.58E−02638LBY1680.713.30E−0267
LBY1680.844.64E−03620LBY1680.722.89E−02633
LBY1680.908.49E−0463LBY1680.791.20E−0269
LBY1680.722.99E−02630LBY1680.731.13E−0258
LBY1680.784.38E−03547LBY1680.749.46E−03522
LBY1680.911.10E−02544LBY1680.812.70E−03517
LBY1680.812.70E−03514LBY1680.748.90E−03553
LBY1680.859.11E−04545LBY1680.711.34E−02549
LBY1680.867.91E−04421LBY1680.793.80E−03320
LBY1680.743.67E−02241LBY1680.724.24E−02239
LBY1680.801.65E−02253LBY1700.815.27E−02216
LBY1700.791.96E−02219LBY1710.742.27E−02516
LBY1710.853.40E−02444LBY1710.749.57E−03341
LBY1710.758.36E−02216LBY1710.792.08E−02219
LBY1730.705.32E−02127LBY1730.792.04E−02126
LBY1730.722.81E−02625LBY1730.703.45E−02617
LBY1730.703.45E−02614LBY1730.732.49E−02639
LBY1730.818.66E−03620LBY1730.732.62E−02624
LBY1730.812.64E−03543LBY1730.713.09E−02516
LBY1730.853.23E−02554LBY1730.793.26E−02446
LBY1730.766.57E−03427LBY1730.749.24E−03420
LBY1730.711.48E−02426LBY1730.822.09E−03353
LBY1730.853.03E−02354LBY1730.794.04E−03335
LBY1730.811.51E−0224LBY1730.884.23E−0326
LBY1730.831.00E−02231LBY1730.892.78E−03232
LBY1730.839.92E−0329LBY1730.714.80E−0221
LBY1730.811.59E−0225LBY1730.782.20E−02234
LBY1730.724.30E−02235LBY1740.781.36E−0262
LBY1740.742.28E−02516LBY1740.721.25E−0238
LBY1740.721.29E−02315LBY1740.711.51E−02352
LBY1740.731.09E−02350LBY1740.731.12E−02341
LBY1740.749.56E−03342LBY1740.767.16E−03324
LBY1750.954.42E−03154LBY1750.774.23E−02148
LBY1750.724.37E−02149LBY1750.762.87E−02247
LBY1750.743.75E−02219LBY1760.781.41E−02628
LBY1760.781.40E−02647LBY1760.742.29E−02645
LBY1760.809.86E−03619LBY1760.761.80E−02630
LBY1760.721.17E−02538LBY1760.775.31E−03427
LBY1760.793.71E−03426LBY1760.776.07E−03445
LBY1760.721.23E−02419LBY1760.867.70E−04434
LBY1760.794.03E−03435LBY1760.883.94E−04353
LBY1760.712.02E−02313LBY1760.883.40E−04345
LBY1760.757.40E−0331LBY1760.803.01E−03334
LBY1760.866.68E−04335LBY1760.743.52E−0223
LBY1760.841.93E−02213LBY1770.767.95E−02116
LBY1770.762.84E−02153LBY1770.782.13E−02616
LBY1770.732.50E−02634LBY1770.752.03E−02635
LBY1770.766.48E−03443LBY1770.752.03E−02416
LBY1770.796.23E−02454LBY1770.711.36E−02329
LBY1770.711.15E−01354LBY1770.711.36E−0232
LBY1770.849.30E−03221LBY1780.714.93E−02153
LBY1780.971.45E−03644LBY1780.717.45E−02648
LBY1780.751.99E−02649LBY1780.711.45E−02529
LBY1780.867.32E−04520LBY1780.776.02E−03521
LBY1780.711.47E−02440LBY1780.775.39E−03310
LBY1780.721.31E−02322LBY1780.721.16E−02317
LBY1780.721.16E−02314LBY1780.731.04E−02339
LBY1780.937.82E−03354LBY1780.743.62E−02251
LBY1780.711.12E−01216LBY1780.782.28E−02253
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LGN60.859.65E−04441LGN60.841.36E−03439
LGN60.736.14E−02448LGN60.731.03E−02449
LGN60.892.77E−04442LGN60.766.16E−03341
LGN60.784.71E−03339LGN60.841.32E−03342
LGN70.801.72E−0218LGN70.945.46E−04110
LGN70.831.16E−02112LGN70.762.78E−02150
LGN70.872.36E−02144LGN70.848.42E−03117
LGN70.848.42E−03114LGN70.733.82E−02120
LGN70.755.39E−02148LGN70.762.92E−02149
LGN70.793.47E−02646LGN70.786.89E−02644
LGN70.732.60E−02617LGN70.732.60E−02614
LGN70.722.84E−02642LGN70.749.91E−03528
LGN70.721.29E−02525LGN70.758.48E−02554
LGN70.721.97E−02513LGN70.731.11E−0251
LGN70.883.35E−04530LGN70.749.26E−03422
LGN70.711.40E−0234LGN70.721.29E−02325
LGN70.721.23E−02347
Table 58. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID“—correlation set ID according to the correlated parameters specified in Table 52. “Exp. Set”—Expression set specified in Table 51. “R” = Pearson correlation coefficient; “P” = p value.

In order to produce a high throughput correlation analysis between plant phenotype and gene expression level, the present inventors utilized a sorghum oligonucleotide micro-array, produced by Agilent Technologies [World Wide Web (dot) chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 65,000 sorghum genes and transcripts. In order to define correlations between the levels of RNA expression with ABST, drought, low N and yield components or vigor related parameters, various plant characteristics of 36 different sorghum inbreds and hybrids were analyzed under normal (regular) conditions, 35 sorghum lines were analyzed under drought conditions and 34 sorghum lines were analyzed under low N (nitrogen) conditions. All the lines were sent for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [World Wide Web (dot) davidmlane (dot) com/hyperstat/A34739 (dot) html].

36 Sorghum varieties were grown in 5 repetitive plots, in field. Briefly, the growing protocol was as follows:

1. Regular growth conditions: sorghum plants were grown in the field using commercial fertilization and irrigation protocols, which include 549 m3 water per dunam (1000 square meters) per entire growth period and fertilization of 16 units of URAN® 21% (Nitrogen Fertilizer Solution; PCS Sales, Northbrook, Ill., USA) (normal growth conditions).

2. Drought conditions: sorghum seeds were sown in soil and grown under normal condition until vegetative stage (49 days from sowing), drought treatment was imposed by irrigating plants with approximately 60% of the water applied for the normal treatment [315 m3 water per dunam (1000 square meters) per entire growth period].

3. Low Nitrogen fertilization conditions: sorghum plants were sown in soil and irrigated with as the normal conditions (549 m3 water per dunam (1000 square meters) per entire growth period). No fertilization of nitrogen was applied, whereas other elements were fertilized as in the normal conditions.

Analyzed Sorghum tissues—All 36 Sorghum inbreds and hybrids were sample per each of the treatments. Tissues [Flag leaf and root] representing different plant characteristics, were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 59 below.

TABLE 59
Sorghum transcriptome expression sets in field experiment
Expression SetSet ID
Flag leaf at grain filling stage under normal conditions1
Root at seedling stage under normal conditions2
Flag leaf at grain filling stage under drought conditions3
Flag leaf at grain filling stage under low nitrogen 4
conditions
Table 59: Provided are the sorghum transcriptome expression sets. Flag leaf = the leaf below the flower.

Sorghum yield components and vigor related parameters assessment—Plants were phenotyped as shown in Tables 60-61 below. Some of the following parameters were collected using digital imaging system:

Grains yield per dunam (kg)—At the end of the growing period all heads were collected (harvest). Heads were separately threshed and grains were weighted (grain yield). Grains yield per dunam was calculated by multiplying grain yield per m2 by 1000 (dunam is 1000 m2).

Grains yield per plant (plot) (gr)—At the end of the growing period all heads were collected (harvest). Heads were separately threshed and grains were weighted (grain yield). The average grain weight per plant was calculated by dividing the grain yield by the number of plants per plot.

Grains yield per head (gr)—At the end of the growing period all heads were collected (harvest). Heads were separately threshed and grains were weighted (grain yield. Grains yield per head was calculated by dividing the grain yield by the number of heads.

Main head grains yield per plant (gr)—At the end of the growing period all plants were collected (harvest). Main heads were threshed and grains were weighted. Main head grains yield per plant was calculated by dividing the grain yield of the main heads by the number of plants.

Secondary heads grains yield per plant (gr)—At the end of the growing period all plants were collected (harvest). Secondary heads were threshed and grains were weighted. Secondary heads grain yield per plant was calculated by dividing the grain yield of the secondary heads by the number of plants.

Heads dry weight per dunam (kg)—At the end of the growing period heads of all plants were collected (harvest). Heads were weighted after oven dry (dry weight).

Heads dry weight per dunam was calculated by multiplying grain yield per m2 by 1000 (dunam is 1000 m2).

Average heads weight per plant at flowering (gr)—At flowering stage heads of 4 plants per plot were collected. Heads were weighted after oven dry (dry weight), and divided by the number of plants.

Leaf carbon isotope discrimination at harvest (%)—isotopic ratio of 13C to 12C in plant tissue was compared to the isotopic ratio of 13C to 12C in the atmosphere

Yield per dunam/water until maturity (kg/lit)—was calculated according to Formula XXXXII (above).

Vegetative dry weight per plant/water until maturity (gr/lit)—was calculated according to Formula XXXXIII above.

Total dry matter per plant at harvest/water until maturity (gr/lit)—was calculated according to Formula XXXXIV above.

Yield/SPAD at grain filling (kg/SPAD units) was calculated according to Formula XXXXVII above.

Grains number per dunam (num)—Grains yield per dunam divided by the average 1000 grain weight.

Grains per plant (num)—Grains yield per plant divided by the average 1000 grain weight.

Main head grains num per plant (num)—main head grain yield divided by the number of plants.

1000 grain weight (gr)—was calculated according to Formula XIV above.

Grain area (cm2)—At the end of the growing period the grains were separated from the head (harvest). A sample of ˜200 grains were weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

Grain fill duration (num)—Duration of grain filling period was calculated by subtracting the number of days to flowering from the number of days to maturity.

Grain fill duration (GDD)—Duration of grain filling period according to the growing degree units (GDD) method. The accumulated GDD during the grain filling period was calculated by subtracting the Num days to Anthesis (GDD) from Num days to Maturity (GDD).

Yield per dunam filling rate (kg/day)—was calculated according to Formula XXXIX (using grain yield per dunam).

Yield per plant filling rate (gr/day)—was calculated according to Formula XXXIX (using grain yield per plant).

Head area (cm2)—At the end of the growing period (harvest) 6 plants main heads were photographed and images were processed using the below described image processing system. The head area was measured from those images and was divided by the number of plants.

Number days to flag leaf senescence (num)—the number of days from sowing till 50% of the plot arrives to Flag leaf senescence (above half of the leaves are yellow).

Number days to flag leaf senescence (GDD)—Number days to flag leaf senescence according to the growing degree units method. The accumulated GDD from sowing until flag leaf senescence.

% yellow leaves number at flowering (percentage)—At flowering stage, leaves of 4 plants per plot were collected. Yellow and green leaves were separately counted. Percent of yellow leaves at flowering was calculated for each plant by dividing yellow leaves number per plant by the overall number of leaves per plant and multiplying by 100.

% yellow leaves number at harvest (percentage)—At the end of the growing period (harvest) yellow and green leaves from 6 plants per plot were separately counted. Percent of the yellow leaves was calculated per each plant by dividing yellow leaves number per plant by the overall number of leaves per plant and multiplying by 100.

Leaf temperature at flowering (° celsius)—Leaf temperature was measured at flowering stage using Fluke IR thermometer 568 device. Measurements were done on 4 plants per plot on an open flag leaf.

Specific leaf area at flowering (cm2/gr)—was calculated according to Formula XXXVII above.

Flag leaf thickness at flowering (mm)—At the flowering stage, flag leaf thickness was measured for 4 plants per plot. Micrometer was used to measure the thickness of a flag leaf at an intermediate position between the border and the midrib.

Relative water content at flowering (percentage)—was calculated based on Formula I above.

Leaf water content at flowering (percentage)—was calculated based on Formula XXXXIX above.

Stem water content at flowering (percentage)—was calculated based on Formula XXXXVIII above.

Total heads per dunam at harvest (number)—At the end of the growing period the total number of heads per plot was counted (harvest). Total heads per dunam was calculated by multiplying heads number per m2 by 1000 (dunam is 1000 m2).

Heads per plant (num)—At the end of the growing period total number of heads were counted and divided by the total number plants.

Tillering per plant (num)—Tillers of 6 plants per plot were counted at harvest stage and divided by the number of plants.

Harvest index (plot) (ratio)—The harvest index was calculated using Formula LVIII above.

Heads index (ratio)—Heads index was calculated using Formula XXXXVI above.

Total dry matter per plant at flowering (gr)—Total dry matter per plant was calculated at flowering. The vegetative portion above ground and all the heads dry weight of 4 plants per plot were summed and divided by the number of plants.

Total dry matter per plant (kg)—Total dry matter per plant at harvest was calculated by summing the average head dry weight and the average vegetative dry weight of 6 plants per plot.

Vegetative dry weight per plant at flowering (gr)—At the flowering stage, vegetative material (excluding roots) of 4 plants per plot were collected and weighted after (dry weight) oven dry. The biomass per plant was calculated by dividing total biomass by the number of plants.

Vegetative dry weight per plant (kg)—At the harvest stage, all vegetative material (excluding roots) were collected and weighted after (dry weight) oven dry.

Vegetative dry weight per plant was calculated by dividing the total biomass by the number of plants.

Plant height growth (cm/day)—The relative growth rate (RGR) of plant height was calculated based on Formula III above.

% Canopy coverage at flowering (percentage)—The % Canopy coverage at flowering was calculated based on Formula XXXII above.

PAR_LAI (Photosynthetic active radiance—Leaf area index)—Leaf area index values were determined using an AccuPAR Ceptometer Model LP-80 and measurements were performed at flowering stage with three measurements per plot.

Leaves area at flowering (cm2)—Green leaves area of 4 plants per plot was measured at flowering stage. Measurement was performed using a Leaf area-meter.

SPAD at vegetative stage (SPAD unit)—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at vegetative stage. SPAD meter readings were done on fully developed leaves of 4 plants per plot by performing three measurements per leaf per plant.

SPAD at flowering (SPAD unit)—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at flowering stage. SPAD meter readings were done on fully developed leaves of 4 plants per plot by performing three measurements per leaf per plant.

SPAD at grain filling (SPAD unit)—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at grain filling stage. SPAD meter readings were done on fully developed leaves of 4 plants per plot by performing three measurements per leaf per plant.

RUE (Radiation use efficiency)—(gr/% canopy coverage)—Total dry matter produced per intercepted PAR at flowering stage was calculated by dividing the average total dry matter per plant at flowering by the percent of canopy coverage.

Lower stem width at flowering (mm)—Lower stem width was measured at the flowering stage. Lower internodes from 4 plants per plot were separated from the plant and their diameter was measured using a caliber.

Upper stem width at flowering (mm)—Upper stem width was measured at flowering stage. Upper internodes from 4 plants per plot were separated from the plant and their diameter was measured using a caliber.

All stem volume at flowering (cm3)—was calculated based on Formula L above.

Number days to heading (num)—Number of days to heading was calculated as the number of days from sowing till 50% of the plot arrive heading.

Number days to heading (GDD)—Number days to heading according to the growing degree units method. The accumulated GDD from sowing until heading stage.

Number days to anthesis (num)—Number of days to flowering was calculated as the number of days from sowing till 50% of the plot arrive anthesis.

Number days to anthesis (GDD)—Number days to anthesis according to the growing degree units method. The accumulated GDD from sowing until anthesis stage.

Number days to maturity (GDD)—Number days to maturity according to the growing degree units method. The accumulated GDD from sowing until maturity stage.

N (Nitrogen) use efficiency (kg/kg)—was calculated based on Formula LI above.

Total NUtE—was calculated based on Formula LIII above.

Grain NUtE—was calculated based on Formula LV above.

NUpE (kg/kg)—was calculated based on Formula LII above.

N (Nitrogen) harvest index (Ratio)—was calculated based on Formula LVI above.

% N (Nitrogen) in shoot at flowering—% N content of dry matter in the shoot at flowering.

% N (Nitrogen) in head at flowering—% N content of dry matter in the head at flowering.

% N in (Nitrogen) shoot at harvest—% N content of dry matter in the shoot at harvest.

% N (Nitrogen) in grain at harvest—% N content of dry matter in the grain at harvest.

Data parameters collected are summarized in Tables 60-61 herein below.

TABLE 60
Sorghum correlated parameters
under normal and low N conditions (vectors)
Correlated parameter withCorrelation ID
% Canopy coverage (F) [%]1
% yellow leaves number (F) [%]2
% yellow leaves number (H) [%]3
% N in grain (H) [%]4
% N in head (F) [%]5
% N in shoot (F) [%]6
% N in shoot (H) [%]7
1000 grain weight [gr.]8
All stem volume (F) [cm3]9
Average heads weight per plant (F) [gr.]10
Flag Leaf thickness (F) [mm]11
Grain N utilization efficiency [ratio]12
Grain area [cm2]13
Grain fill duration [num]14
Grain fill duration (GDD)15
Grains yield per dunam [kg]16
Grains yield per head (RP) [gr.]17
Grains number per dunam [num]18
Grains per plant (plot) [num]19
Grains yield per plant (plot) [gr.]20
Harvest index (plot) [ratio]21
Head Area [cm2]22
Heads dry weight per dunam [kg]23
Heads index (SP) [Ratio]24
Heads per plant (RP) [num]25
Leaf carbon isotope discrimination (H) (%)26
Leaf temperature (F) [° C.]27
Leaf water content (F) [%]28
Leaves area (F) [cm2]29
Lower Stem width (F) [mm]30
Main head grains num per plant [num]31
Main head grains yield per plant [gr]32
N harvest index [ratio]33
N use efficiency [ratio]34
Number days to Anthesis [num]35
Number days to Anthesis (GDD)36
Number days to Flag leaf senescence [num]37
Number days to Flag leaf senescence (GDD)38
Number days to Heading (GDD)39
Number days to Maturity (GDD)40
NupE (H) [ratio]41
PAR_LAI (F) [μmol m−2 S−1]42
Plant height growth [cm/day]43
RUE [gr./% canopy coverage]44
RWC (F) [%]45
SPAD (F) [SPAD unit]46
SPAD (GF) [SPAD unit]47
SPAD_(veg) [SPAD unit]48
Secondary heads grains yield per plant [gr.]49
Specific leaf area (F) [cm2/gr]50
Stem water content (F) [%]51
TDM (F)/water until flowering [gr./lit]52
TDM (SP)/water until maturity [kg/lit]53
Tillering per plant (SP) [number]54
Total Heads per dunam (H) [number]55
Total N utilization efficiency (H) [ratio]56
Total dry matter per plant (F) [gr.]57
Total dry matter per plant (SP) [kg]58
Upper Stem width (F) [mm]59
VDW (F)/water until flowering [gr./lit]60
VDW (SP)/water until maturity [gr./lit]61
Vegetative DW per plant (F) [gr.]62
Vegetative DW per plant (RP) [kg]63
Yield per dunam filling rate [kg/day]64
Yield per dunam/water until maturity [kg/ml]65
Yield per plant filling rate [gr./day]66
Yield/SPAD (GF) [ratio]67
Table 60. Provided are the Sorghum correlated parameters (vectors). “kg” = kilograms; “gr.” = grams; “RP” = Rest of plot; “SP” = Selected plants; “lit” = liter; “ml” milliliter; “cm” = centimeter; “num” = number; “GDD” Growing degree day; “SPAD” = chlorophyll levels; “FW” = Plant Fresh weight; “DW” = Plant Dry weight; “GF” = grain filling growth stage; “F” = flowering stage; “H” = harvest stage; “N”—Nitrogen; “NupE”—Nitrogen uptake efficiency; “VDW” = vegetative dry weight; “TDM” = Total dry matter. “RUE” = radiation use efficiency; “RWC” relative water content; “veg” = vegetative stage.
TABLE 61
Sorghum correlated parameters under drought conditions (vectors)
Correlated parameter withCorrelation ID
% Canopy coverage (F) [%]1
% yellow leaves number (F) [%]2
% yellow leaves number (H) [%]3
1000 grain weight [gr.]4
All stem volume (F) [cm3]5
Average heads weight per plant (F) [gr.]6
Flag Leaf thickness (F) [mm]7
Grain area [cm2]8
Grain fill duration [number]9
Grain fill duration (GDD)10
Grains yield per dunam [kg]11
Grains yield per head (RP) [gr.]12
Grains number per dunam [number]13
Grains per plant (plot) [number]14
Grains yield per plant (plot) [gr.]15
Harvest index (plot) [ratio]16
Head Area [cm2]17
Heads dry weight per dunam [kg]18
Heads index (SP) [ratio]19
Heads per plant (RP) [number]20
Leaf carbon isotope discrimination (H) (%)21
Leaf temperature (F) [° C.]22
Leaf water content (F) [%]23
Leaves area (F) [cm2]24
Lower Stem width (F) [mm]25
Main head grains num per plant [num]26
Main head grains yield per plant [gr.]27
Number days to Anthesis [number]28
Number days to Anthesis (GDD)29
Number days to Flag leaf senescence [number]30
Number days to Flag leaf senescence (GDD)31
Number days to Heading (GDD)32
Number days to Maturity (GDD)33
PAR_LAI (F) [μmol m−2 S−1]34
Plant height growth [cm/day]35
RUE [gr./% canopy coverage]36
RWC (F) [%]37
SPAD (F) [SPAD unit]38
SPAD (GF) [SPAD unit]39
SPAD_(veg) [SPAD unit]40
Secondary heads grains yield per plant [gr.]41
Specific leaf area (F) [cm2/gr.]42
Stem water content (F) [%]43
TDM (F)/water until flowering [gr./lit]44
TDM (SP)/water until maturity [kg/lit]45
Tillering per plant (SP) [number]46
Total Heads per dunam (H) [number]47
Total dry matter per plant (F) [gr.]48
Total dry matter per plant (SP) [kg]49
Upper Stem width (F) [mm]50
VDW (F)/water until flowering [gr./lit]51
VDW (SP)/water until maturity [gr./lit]52
Vegetative DW per plant (F) [gr.]53
Vegetative DW per plant (RP) [kg]54
Yield per dunam filling rate [kg/day]55
Yield per dunam/water until maturity [kg/ml]56
Yield per plant filling rate [gr./day]57
Yield/SPAD (GF) [ratio]58
Table 61. Provided are the Sorghum correlated parameters (vectors). “kg” = kilograms; “gr.” = grams; “RP” = Rest of plot; “SP” = Selected plants; “lit” = liter; “ml”—milliliter; “cm” = centimeter; “num” = number; “GDD”—Growing degree day; “SPAD” = chlorophyll levels; “FW” = Plant Fresh weight; “DW” = Plant Dry weight; “GF” = grain filling growth stage; “F” = flowering stage; “H” = harvest stage; “N”—Nitrogen; “NupE”—Nitrogen uptake efficiency; “VDW” = vegetative dry weight; “TDM” = Total dry matter. “RUE” = radiation use efficiency; “RWC” relative water content; “veg” = vegetative stage.

Thirty-six different sorghum inbreds and hybrids lines were grown and characterized for different parameters (Tables 60-61). The average for each of the measured parameter was calculated using the JMP software (Tables 62-76) and a subsequent correlation analysis was performed (Tables 77-79). Results were then integrated to the database.

TABLE 62
Measured parameters in Sorghum accessions under normal conditions
L/
Corr.
IDL-1L-2L-3L-4L-5L-6L-7
187.28190.11175.67075.59976.13869.92884.375
20.1440.2440.0800.1340.2740.1320.101
30.2650.1570.3230.3890.3230.0950.139
41.910NA1.6212.086NA1.594NA
52.315NA2.7221.844NA1.970NA
61.729NA1.4141.303NA1.602NA
71.080NA0.5590.722NA1.112NA
829.79632.04433.78231.33529.96424.14618.356
923261.219941.614878.431092.439294.613029.433015.4
1017.00517.7209.72710.18337.67911.14011.271
110.1790.1440.1440.1640.1270.1860.138
1218.510NA35.87231.063NA30.945NA
130.1190.1330.1300.1360.1300.1050.092
1435.032.431.032.427.632.823.4
15459.6407.9396.8423.6358.8414.6305.6
16818.9893.2861.8912.8661.8612.2421.0
1730.31132.84925.40821.42737.29433.22617.030
1827117640277020002502102029202780212649802513246020308520
192766.23370.43162.24531.23464.53570.42267.5
2077.2103.5100.8130.3100.372.443.5
210.2250.2710.2810.3350.2710.3060.126
22134.40396.685112.799101.680106.06584.074105.631
231.0461.0620.9561.0100.7970.7680.747
240.3450.3990.3930.4530.3840.5360.344
251.1251.3061.7122.2801.1441.1511.287
26−12.858−13.200−13.116−12.834−13.160−13.047−13.160
2731.71929.18230.39529.62730.43329.99829.777
2865.971NA74.09071.84063.29377.50070.016
2916514.412058.412787.09932.211459.39116.49023.2
3019.96515.45914.23118.43615.98916.37615.415
311322.31669.91615.11624.31784.31480.91008.7
3238.22153.81155.64451.04153.35635.97919.751
330.354NA0.5820.648NA0.493NA
3445.49349.62347.87650.71336.76434.01123.390
3589.20083.00085.80088.40088.80084.25093.400
36777.6709.7740.6768.4773.0725.7831.9
37141.0119.0125.5139.0117.2NA126.8
381469.51165.81254.91441.21142.7NA1272.0
39739.4625.3709.0721.1763.8629.6769.5
401237.21117.61137.41191.91131.71137.41137.4
411.913NA1.3251.560NA1.101NA
425.3435.5814.4153.7633.6204.0094.920
431.2392.5492.0392.0112.7641.1182.183
442.2751.3391.0251.1112.1051.0711.959
4590.82191.67891.19288.71388.25984.49387.219
4656.86552.45249.17055.13248.23953.32348.915
4756.25556.29353.34759.05852.03954.24847.028
4848.51742.45043.11442.13139.27245.96733.339
492.4527.0042.20130.9875.7232.8382.331
50137.546148.278164.775175.755162.372150.487110.243
5153.79477.83179.82278.52767.25077.97571.874
520.6740.4550.2750.2820.5420.2780.454
530.0380.0470.0430.0480.0470.0300.037
541.2333.2764.1333.1721.1002.3333.067
5525950252503135037950159181625023200
5691.317NA123.16089.001NA93.670NA
57198.503120.89577.76383.147159.60770.670143.281
580.1930.2180.1980.2350.2170.1370.172
5911.2849.9328.12510.6649.8639.0228.265
600.6160.3880.2400.2480.4140.2360.418
610.0250.0280.0260.0260.0290.0130.024
62181.498103.17568.03672.964121.92859.530132.010
630.0970.1030.1060.0880.1010.0800.126
6423.35827.64927.84328.18823.94820.03217.887
651.6171.9191.8511.8511.4221.2610.904
661.1101.8801.8602.5422.1001.1330.932
6724.01633.69033.96648.08937.96028.38523.686
Table 62: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (“L” = Line) under normal conditions. Growth conditions are specified in the experimental procedure section.
TABLE 63
Measured parameters in additional Sorghum accessions under normal conditions
L/
Corr.
IDL-8L-9L-10L-11L-12L-13L-14
1NA89.50295.07692.84167.34280.36772.241
20.0000.0610.1450.1300.1830.0960.121
30.1660.5780.5500.3210.2310.0400.129
4NA1.796NANANANANA
5NA1.369NANANANANA
6NA1.795NANANANANA
7NA1.151NANANANANA
822.63623.19717.26526.97424.67722.56416.849
99480.221372.257928.142021.215340.910035.220685.1
106.76611.97322.37535.6958.80510.34723.983
11NA0.1790.1500.2060.1780.1970.173
12NA26.691NANANANANA
130.1190.0980.0860.1160.1050.1030.083
1437.032.420.835.237.441.029.3
15433.9425.1285.1479.2478.2528.2401.3
16154.3663.3457.0473.8257.0664.8297.9
178.57227.91730.83939.4699.21329.01315.133
186938386266209802356628016059440100478742496970015586667
19883.93870.33226.63209.91567.82899.63451.8
2018.789.457.386.937.167.962.4
210.1720.2950.0620.1770.1680.2910.150
22226.157156.424120.418210.453121.30274.783244.476
230.2410.8500.5880.6130.4950.8460.336
240.4140.4850.1270.3100.4760.4430.322
251.0381.3970.9501.0021.3171.2561.428
26−13.473−12.825−12.990−13.379−12.587−13.140NA
27NA29.51831.39828.67229.79229.70529.464
2870.19973.16471.10769.66080.11675.59770.564
293520.412434.218050.216771.27915.88866.218167.7
309.30320.50321.94822.63517.90213.73424.669
31450.11979.21582.71734.6932.81362.52390.5
329.95246.64828.46146.90622.19831.05843.412
33NA0.479NANANANANA
348.57436.85225.39026.32014.27936.93216.553
3577.75090.200119.000107.00083.80084.000113.333
36650.1790.91167.91008.4719.1721.11091.8
37112.6148.8149.3152.2148.7121.3152.0
381078.81581.41588.71630.51580.31198.41628.1
39630.5756.2NA945.3621.2663.5945.3
401084.01216.01453.01487.61197.21122.61493.0
41NA1.527NANANANANA
42NA6.0367.0903.8982.9354.5952.359
432.8390.8201.4861.1991.1061.1990.616
44NA1.2133.1282.5041.0930.8533.219
4591.50183.98185.87789.03685.51688.04389.730
46NA57.60753.64959.82250.90254.49758.942
4760.12759.92750.53558.64251.88752.72257.114
4848.86445.61739.56743.69445.17542.74736.967
490.1074.3720.215NA2.7501.4680.700
50191.109123.281143.880118.611171.938154.855121.095
5183.44872.34074.51463.23676.24275.93456.029
520.1230.3540.6190.5810.2590.2650.514
530.0140.0330.0740.0440.0280.0220.045
541.4332.9331.7002.2333.2672.1331.941
5517500223001475011450247002125018694
56NA88.485NANANANANA
5726.001108.460292.856232.74572.54068.447233.233
580.0600.1700.4150.2480.1320.1070.252
597.7779.9527.34111.8829.9389.1959.462
600.0920.3160.5890.4920.2280.2240.461
610.0080.0170.0640.0310.0150.0120.031
6219.23696.488278.538197.05063.73558.100209.250
630.0330.0740.4740.1780.0580.0780.126
643.96820.50021.87213.1936.88019.82710.751
650.3211.3110.8110.8410.5151.3860.529
660.2791.5791.3911.3580.6690.8551.507
677.54535.97432.96529.78220.16826.24842.091
Table 63: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (“L” = Line) under normal conditions. Growth conditions are specified in the experimental procedure section.
TABLE 64
Measured parameters in additional Sorghum accessions under normal conditions
L/
Corr.
IDL-15L-16L-17L-18L-19L-20L-21
172.68366.33890.91168.46192.99362.23285.473
20.1880.2290.2460.0360.1730.0150.147
30.1420.2130.2720.2410.3020.1410.042
4NANANANANANANA
5NANANANANANANA
6NANANANANANANA
7NANANANANANANA
828.15421.77216.87237.02618.16928.83517.383
912649.415432.614500.726609.817621.513556.312018.1
109.56614.1457.66024.73824.10013.47516.594
110.1690.1950.1440.2090.1620.2040.189
12NANANANANANANA
130.1220.1150.0820.1460.0930.1210.089
1429.025.226.229.829.829.823.2
15364.0331.6342.0390.9395.4385.1303.8
16731.8609.8378.1470.8291.5496.6611.0
1733.02529.50314.87822.1758.10029.57030.116
1823737260255345201931931612802788146296001664344231788060
193187.13304.82184.22187.11951.82731.13818.6
2088.072.939.176.037.075.967.5
210.3240.3220.1870.1790.1100.3510.264
2282.036106.139129.33586.31183.329114.02690.007
230.8600.7620.6460.6020.6190.5230.717
240.4720.5190.3020.3260.2780.5080.350
251.0920.9951.2381.5302.0571.0291.125
26−12.993−12.733−13.153−13.293−13.003−13.193−12.820
2731.27831.21930.15730.91428.89230.67730.455
2875.27563.08671.86576.10366.48378.47376.381
2916019.620833.013190.416299.612096.811573.211655.8
3016.07920.90216.86822.27416.30419.22119.066
311554.31950.9993.2848.9686.61329.01808.6
3243.15843.20817.96231.77812.95437.84932.471
33NANANANANANANA
3440.65533.87621.00726.15716.19527.58733.944
3584.60098.00090.60094.250101.75088.20094.400
36728.4892.5795.5843.1940.9769.5845.1
37124.6NANA152.0146.5NA137.0
381242.8NANA1628.11548.8NA1412.0
39697.4853.3728.4755.8892.4655.3763.8
401092.41224.11137.41234.01336.31154.51148.8
41NANANANANANANA
423.7613.5256.3773.8663.9753.0484.783
431.4100.8570.8991.2231.5160.7280.672
441.0572.4240.8923.9571.6311.3252.274
4591.94491.41183.59690.87987.87890.20189.471
4652.61649.06253.88561.51351.44251.58347.937
4754.25049.78754.84261.80354.22355.64851.650
4845.10042.95040.21142.36331.74649.62241.847
490.9470.2535.63210.9575.3655.8901.704
50179.108183.038159.180157.503111.333163.526142.593
5182.15454.69776.65948.34962.76581.03429.074
520.2590.4450.2700.7910.4090.2570.557
530.0280.0250.0270.0450.0280.0280.028
541.8001.3671.8934.5005.1252.7001.100
5519607183002315022688433481487418626
56NANANANANANANA
5774.384153.13081.275258.144151.94476.769187.014
580.1300.1260.1260.2260.1580.1320.132
598.00111.4337.68912.3116.84910.7617.708
600.2260.4040.2440.7150.3440.2120.508
610.0150.0120.0190.0310.0180.0130.019
6264.818138.98573.615233.406127.84463.294170.420
630.0780.0580.0520.1440.1310.0550.080
6425.24424.20914.89815.89310.41116.37827.151
651.5721.2040.8120.9430.5271.0671.313
661.5001.7180.8141.4480.6271.5191.498
6728.84539.38520.53319.31218.41327.83536.209
Table 64: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (“L” = Line) under normal conditions. Growth conditions are specified in the experimental procedure section.
TABLE 65
Measured parameters in additional Sorghum accessions under normal conditions
L/
Corr.
IDL-22L-23L-24L-25L-26L-27L-28
176.02592.10488.44662.17554.72894.41157.550
20.0430.1250.2450.1280.1140.3270.077
30.0590.4130.7880.1880.1520.6350.139
4NANA1.5421.604NANANA
5NANA1.8621.651NANANA
6NANA0.7951.293NANANA
7NANA0.4080.834NANANA
821.37827.97527.04628.95120.93729.44222.508
98397.128819.252862.123299.48716.9NA18934.9
108.59427.63517.49915.46315.008NA20.314
11NA0.1640.1750.1470.1530.1700.177
12NANA35.13039.995NANANA
130.1030.1290.1160.1290.1030.1250.112
1440.635.225.031.633.020.428.6
15500.3476.6343.1415.1423.7268.2363.8
16307.6221.0685.9792.0449.8626.1497.1
1713.2918.40337.59548.25225.12431.62630.856
181313096266534432393312024881460194562601963982021045320
192058.71109.83819.25346.82650.33204.73102.0
2044.333.6101.5153.456.493.669.0
210.2710.0760.1740.3670.2500.2380.245
2255.030200.519136.462192.12585.898119.330151.300
230.3610.4170.9810.8980.6360.7480.826
240.4170.2040.3370.5940.4530.3580.586
251.8232.1791.0591.2901.0221.4431.143
26−12.720−13.077−12.408−13.138−12.827−12.677−13.003
2728.56029.17328.56529.96331.46531.66131.462
28NA67.30369.97868.16072.92367.29576.050
296785.614171.821989.213038.310639.6NA14682.2
3014.97520.27721.86818.88818.94223.16321.965
31756.2573.12299.13152.21392.11579.31438.0
3216.79917.54062.19289.34529.96846.76033.521
33NANA0.5420.641NANANA
3417.08812.28038.10543.99824.98934.78227.619
3574.400106.000115.20089.60085.400102.00086.200
36611.9996.21115.4782.2736.1945.3745.5
37NA148.6143.0132.0NA150.8113.0
38NA1579.11498.61343.5NA1610.71084.0
39530.3945.3945.3740.6693.3879.3709.0
401112.21472.81458.51197.31159.81213.41109.2
41NANA1.2111.089NANANA
423.5644.3433.2592.8812.3727.2752.811
430.9711.1521.1161.5980.7820.9720.872
440.6653.1913.3622.5691.450NA1.450
4594.61588.73489.24789.33890.47691.91091.291
4652.65754.71252.45557.74253.53550.16254.922
4747.16855.99752.39557.60756.56552.33854.393
4840.92235.68941.16743.27844.88140.23942.969
494.1031.835NA5.0491.249NANA
50166.853108.385139.894164.925164.415NA156.660
51NA57.26768.46953.46079.583NA84.561
520.2420.7220.6270.4570.251NA0.277
530.0150.0440.0530.0490.0250.0350.026
543.5004.8331.0001.2002.0671.2001.000
5522218273331585013893163001715014650
56NANA169.680105.928NANANA
5749.924292.635293.874134.60070.658NA81.484
580.0680.2490.2980.2400.1190.1760.123
598.2448.40811.42910.4129.61811.29011.574
600.2000.6540.5890.4050.198NA0.208
610.0080.0360.0350.0200.0140.0220.011
6241.331265.000276.375119.13855.650NA61.170
630.0620.2340.2190.0870.0640.1530.089
647.5516.50027.78425.60213.99530.55517.432
650.6610.3921.2171.6180.9581.2531.068
660.5150.5792.4972.9010.9232.4221.173
6720.55211.45843.99153.27825.07431.33026.607
Table 65: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (“L” = Line) under normal conditions. Growth conditions are specified in the experimental procedure section.
TABLE 66
Measured parameters in additional Sorghum accessions under normal conditions
L-29L-30L-31L-32L-33L-34L-35L-36
85.79788.76792.56787.28681.63690.12966.24382.308
0.0900.1270.3000.1710.0330.0870.2400.131
0.0000.0180.1680.2560.1170.1480.2260.263
NANA1.841NANA1.557NA1.840
NANA1.927NANA1.704NA2.047
NANA1.324NANA1.235NA1.340
NANA0.971NANA1.231NA0.631
25.94928.40726.75221.83325.43223.45722.60928.331
14471.911682.412897.227195.918515.816533.514367.445771.7
14.80812.2399.89929.62737.96417.00918.98724.612
NANANA0.2140.1890.1720.1680.156
NANA32.593NANA26.714NA19.842
0.1100.1200.1110.1020.1110.1090.1040.116
42.542.540.226.832.530.031.433.4
525.9525.9493.6352.0425.1394.9413.3438.2
693.9663.0668.8861.9904.6757.3874.2653.2
35.49935.63229.95655.99952.70646.21848.68027.175
2543932522595225235162203590304035910300306379403788750022720400
3607.62713.33012.85869.75994.74733.14927.13710.2
91.974.180.3130.1122.6108.7112.899.9
0.3580.3450.3160.2840.3120.3070.3080.135
115.146141.71499.027174.094245.323194.992180.424136.020
0.8160.8100.8451.0271.0140.9681.1390.787
0.5450.5830.5490.4660.5560.4640.4720.223
1.1521.1241.2151.0601.1421.1001.0001.458
−13.360−13.000−13.074−12.850NA−12.561−12.790−13.138
28.57329.03328.02030.09530.45630.08230.04730.042
NANANA52.56144.28135.41875.14265.973
10885.39702.012009.220599.416039.317728.817360.815975.6
17.35616.62915.10221.63120.55619.40915.65720.886
1964.21191.61513.42925.23386.42454.22247.42021.1
50.81534.03040.86665.66979.76957.32062.72956.619
NANA0.600NANA0.416NA0.365
38.55036.83637.15447.88250.25742.07548.56936.288
74.00074.00074.00094.00088.50093.00090.00092.000
607.3607.3607.3840.0769.5826.7786.8814.0
NANANA146.2NANANA141.3
NANANA1544.8NANANA1473.8
563.9537.3591.0769.5715.1756.1756.1768.4
1133.11133.11100.81191.91194.61221.51200.01252.2
NANA1.259NANA1.475NA1.753
4.7674.9595.7476.0565.2456.6803.3874.763
1.0230.9560.9850.8361.1230.8780.9411.778
0.8150.6350.6354.9364.0533.0102.1002.885
92.40091.80791.37987.24187.94285.65690.90392.520
53.86360.08351.13049.70057.01955.10053.85353.908
51.47954.69450.47354.40755.75453.63352.79155.657
43.45047.83943.08644.08645.07946.69744.81141.231
0.5470.4126.9793.4426.6501.205NA7.502
173.345151.866167.177104.02282.27866.905172.576131.264
NANANA20.55337.99437.39870.13266.732
0.3300.2710.2861.2261.0980.8140.4780.751
0.0300.0240.0270.0510.0460.0400.0400.079
3.5833.5422.8932.1671.0001.0671.1332.733
1987517979216001406416583154001650021250
NANA91.382NANA88.568NA129.502
68.15656.02359.009403.078323.425264.537140.877231.139
0.1410.1100.1280.2500.2270.1980.1980.397
10.1018.9108.77110.07511.5038.8068.56410.101
0.2580.2120.2381.1360.9690.7610.4140.672
0.0140.0120.0130.0270.0200.0220.0210.061
53.34843.78449.111373.451285.461247.528121.890206.527
0.0560.0620.0740.1280.0720.0830.0830.283
16.31715.58816.52332.23127.38225.11327.84220.006
1.4911.4241.4371.7441.8111.5161.7731.289
1.1980.8051.1212.4992.3971.9232.0141.840
37.98721.98432.67054.30058.94146.08550.53039.929
Table 66: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (“L” = Line) under normal conditions. Growth conditions are specified in the experimental procedure section
TABLE 67
Measured parameters in Sorghum accessions under drought conditions
Line/
Corr.
IDLine-1Line-2Line-3Line-4Line-5Line-6Line-7
178.35278.01071.04463.41569.90873.11977.679
20.2650.3950.2500.2270.5720.1180.259
30.4820.6890.6270.6450.6480.4990.407
427.43928.68634.53128.11925.84222.91817.494
51300813795118832278831653974119460
617.99013.8359.45612.47125.5449.7459.906
70.1500.1310.1440.1340.1310.1870.109
80.1170.1260.1350.1300.1220.1030.092
931.832.232.031.625.432.623.4
10415.250404.350403.300409.850330.450408.850306.550
11539.551494.005653.565568.314358.361474.717364.646
1229.00716.97917.26022.34722.50635.35815.765
1319183840172659202015162018904060126529681924080018560870
142226.72367.62602.63022.62051.12957.72089.8
1559.17662.69077.53582.57053.30267.11137.943
160.2120.2190.2730.3060.1940.3600.126
17102.63379.92782.53178.49672.27672.38981.281
180.7050.6170.7240.6300.4920.5480.568
190.3370.3440.3810.4500.3320.5580.317
200.9911.8982.0721.7001.0851.0080.980
21−13.414−13.017−13.382−13.459−13.873−13.370−13.373
2231.24732.38333.13231.79030.90330.87730.608
2362.944NA70.94369.16552.28276.83560.839
2413806.810419.010992.010397.810516.76092.06199.8
2518.28714.35514.35519.09616.93214.93614.148
261095.968998.7321092.3351171.0341082.7011401.8981073.967
2730.35929.02437.87432.87928.81832.25719.801
2889.682.683.487.490.682.295.0
29784.8704.9714.2757.7795.5700.4853.3
30130.5114.2114.0122.4114.2126.7121.4
311325.31100.81098.11213.01100.81274.71199.2
32748.2634.9654.4723.6754.3624.8779.1
331200.01109.21117.51167.51125.91109.21159.8
344.0293.9663.7953.0483.0393.9213.843
350.8782.0661.5711.3261.8701.1302.069
362.1561.2931.2701.3812.1270.7841.403
3783.15284.26686.92681.74982.84089.48577.472
3852.36549.91045.25350.39743.08351.76245.108
3953.56149.29347.65751.11242.56254.85245.172
4048.93643.20842.79742.11735.54247.49235.083
410.0404.8544.63614.1923.0581.1453.180
42126.869146.608158.066160.683116.771135.76883.774
4342.91875.71375.80777.10666.00475.82071.374
440.9370.6250.5320.4980.8470.3700.577
450.0560.0630.0580.0550.0510.0360.061
461.1073.2003.4333.3001.0001.1004.379
4717250292573600023967152501268821430
48161.696.182.784.2145.356.0109.1
490.1570.1630.1520.1480.1340.0930.162
509.3279.1147.80210.1509.8248.7177.802
510.8330.5350.4720.4240.6980.3060.525
520.0390.0420.0360.0310.0340.0160.042
53143.63882.26073.27571.738119.79546.25599.235
540.0820.0860.0830.0750.0870.0460.105
5517.07015.35620.62417.89214.01114.57315.448
561.9361.9222.4812.1081.3861.8471.374
570.9781.0521.3541.3931.1621.0140.946
5820.59125.63829.81732.10327.30928.43426.690
Table 67: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (“L” = Line) under drought conditions. Growth conditions are specified in the experimental procedure section.
TABLE 68
Measured parameters in additional Sorghum accessions under drought conditions
Line/
Corr.
IDLine-8Line-9Line-10Line-11Line-12Line-13Line-14
1NA91.009NA80.98870.46779.80975.754
20.0000.3210.2780.3140.2340.1150.301
30.2100.6250.7600.6750.5730.3640.427
421.71821.76512.29928.29723.75223.52927.665
579251539146856266001323581019566
65.94211.0748.45515.9257.9069.8608.572
7NA0.1650.1450.1710.1450.1630.162
80.1130.0970.0700.1200.1060.1050.121
937.028.318.328.837.230.629.8
10453.500369.250193.900391.700469.150384.250374.550
11176.209586.83895.022321.492275.869459.694426.101
1210.82423.1906.56616.6969.49325.78122.166
13810615425074700647027610728240110828801781075014047530
14922.63192.61275.32368.51297.72280.51687.8
1518.75468.58517.45466.28829.76853.87846.381
160.1920.2960.0270.1740.1800.2520.349
17188.433128.80480.847114.85778.77570.47754.292
180.2650.7060.2270.3540.4430.5660.588
190.4640.4690.0830.2910.4210.4340.500
201.0481.3620.9481.1211.4581.1931.045
21−14.197−13.146−13.423−13.618−12.775−13.560−13.117
22NA31.738NA30.61230.14331.09032.813
2371.13068.44465.26563.31079.04975.83071.806
242894.09764.513474.814964.69651.06615.410532.6
259.01919.93523.12521.70517.47613.40317.250
26363.4331590.208817.4001579.043630.300898.267875.433
277.77535.16811.28245.21015.01721.26624.160
2876.090.3132.0112.480.483.484.2
29630.5791.91343.31080.7679.7713.9723.6
30111.8143.3150.0150.6147.3113.0114.0
311068.31501.61599.41607.31558.91084.01098.2
32630.5736.4NA945.3625.3607.3709.0
331092.41161.11602.81472.41148.81098.11098.1
34NA6.238NA3.2333.1674.8033.799
352.4700.6971.1001.0010.7951.0360.982
36NA1.062NA2.5470.9290.7970.822
3789.69079.575NA85.39286.91884.46084.347
38NA48.829NA50.91550.77852.04850.596
3955.54450.777NA52.81351.51052.92248.402
4047.15044.64239.31144.15342.03944.36946.417
410.4876.895NA0.8371.1190.3732.202
42188.735106.49496.881104.467161.086116.682152.401
4383.19968.18553.83856.66878.38974.75077.709
440.1790.5601.1770.8730.4290.4140.384
450.0140.0480.1090.0580.0330.0410.030
461.2002.8261.0671.6673.2672.8282.759
4716700230631245013300295001784318813
4822.496.9398.9209.761.063.061.6
490.0400.1190.3630.1950.0850.1050.077
507.2449.3167.95611.0118.5848.3218.269
510.1280.4961.1510.8060.3730.3500.330
520.0070.0260.1000.0410.0190.0230.016
5316.46785.863390.344193.77053.12453.16153.048
540.0350.0670.2800.1190.0440.0600.041
554.41520.9094.67610.4477.35514.82914.568
560.6362.2340.2860.9481.0731.7891.658
570.1631.3220.5291.5610.4110.6930.836
587.74833.179NA29.54613.34717.03818.455
Table 68: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (“L” = Line) under drought conditions. Growth conditions are specified in the experimental procedure section.
TABLE 69
Measured parameters in additional Sorghum accessions under drought conditions
Line/
Corr.
IDLine-15Line-16Line-17Line-18Line-19Line-20Line-21
163.08782.77461.84391.39769.40678.02372.962
20.3340.4370.1130.2980.0730.2930.134
30.3620.5890.6280.3120.3980.3560.151
423.39917.18036.53215.75524.58617.80621.837
5128131228619751127681109099246585
612.2609.46237.02510.63812.84620.4687.308
70.1950.1290.2070.1660.1630.169NA
80.1210.0820.1450.0870.1110.0920.105
923.628.030.323.032.622.440.2
10309.550365.550397.938311.800413.550291.750493.550
11267.312311.951289.762124.816507.414430.251254.426
1218.79014.78512.6263.99734.06723.35513.395
13108462781558242082478856942220185924802171338010884158
141724.41891.71683.0927.22955.12902.02221.1
1539.72834.49956.86215.11473.52552.51248.784
160.1960.1760.1630.0600.3620.2180.265
1765.790120.48184.26659.883116.99473.91160.152
180.3240.4410.3670.2780.5570.4760.298
190.3660.3410.3000.1870.5300.3130.405
200.7341.1601.8631.5901.0371.0901.855
21−13.373−13.297−13.463−13.000−13.203−13.147−13.527
2232.43132.05331.14629.93530.20831.47729.370
2368.13363.31372.54361.27375.18049.663NA
2415978.111762.417356.513226.212471.014010.04967.2
2521.79817.39121.64117.46419.07518.93714.289
261008.699932.233871.419440.9001460.1321488.968836.533
2723.65716.93631.8817.22736.16927.16519.778
2898.689.294.3109.083.694.074.0
29900.5777.6843.11032.8715.5840.0607.3
30NANA143.8148.0131.0114.5116.0
31NANA1508.41570.01332.11105.01126.0
32859.8733.3775.3945.3655.5757.7526.3
331210.01143.11241.11344.61129.01131.71100.8
342.4594.8822.6223.5993.5414.2233.209
350.6670.8890.9551.2710.8270.6770.811
362.7781.0124.2271.8781.1832.7880.645
3786.63178.46285.82886.58989.62482.92790.251
3850.10351.08257.48748.75353.70346.73850.180
3949.07253.95058.408NA55.63748.49347.695
4043.77540.13346.70338.44245.96140.67843.003
412.0292.3582.6281.4594.9340.1031.396
42153.212128.423145.79587.743182.98781.273115.342
4349.02874.30352.28958.04674.11733.404NA
440.9140.4891.3020.7220.5341.2130.377
450.0380.0470.0650.0390.0400.0520.027
462.7001.3214.0003.7672.3671.6794.900
4712750194932083328979146501695018229
48179.382.6240.6171.081.5219.447.1
490.1060.1200.1910.1230.1020.1320.069
509.9907.64411.8056.5839.7507.2597.540
510.8520.4331.0960.6460.4491.1020.319
520.0240.0240.0450.0310.0190.0370.016
53166.99473.170203.563152.47068.615198.94339.832
540.0740.0570.1180.1020.0540.0800.124
5511.24711.1859.8406.22015.75719.3316.372
560.9681.2140.9980.4051.9741.6740.990
571.0370.6401.1370.3811.1881.2340.531
5821.53018.17616.057NA27.64730.35318.934
Table 69: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (“L” = Line) under drought conditions. Growth conditions are specified in the experimental procedure section.
TABLE 70
Measured parameters in additional Sorghum accessions under drought conditions
Line/
Corr.
IDLine-22Line-23Line-24Line-25Line-26Line-27Line-28
190.72589.32263.40358.65690.32469.26678.521
20.2680.4410.3440.2150.4060.2390.225
30.7250.8430.6300.3960.7090.5170.283
426.52825.81427.59821.84826.82918.37324.199
5198592990418695751315653146068279
617.59414.91632.57510.57217.71020.43818.601
70.1570.1540.1470.1400.1750.157NA
80.1240.1130.1300.1050.1230.0980.107
932.425.429.232.825.026.640.3
10445.700349.800381.150418.800338.100337.300494.375
1173.585443.706475.258346.323243.625317.094537.350
126.22928.22833.82121.88011.81421.90532.903
13260762315608820164279201466006484947281510538019961625
14344.22572.23186.72510.21468.42754.93990.9
157.61966.81886.30454.75738.83353.78297.093
160.0260.1790.3090.3030.1360.2090.382
1785.966101.763116.92676.03447.587129.080105.902
180.1600.6450.5540.4630.2680.6520.598
190.1050.3450.5360.4940.2100.6030.576
201.4880.9221.1711.0481.1541.0131.794
21−13.460−13.526−13.860−13.320−13.280−12.893−13.197
2231.15029.90831.02531.74231.67530.97028.544
2361.60268.32052.74473.42358.11772.016NA
2414354.014782.29583.39224.812185.811844.810118.5
2521.33821.53317.56618.66619.55720.49714.358
26130.1671545.8981637.4601351.168533.7011425.0001736.125
273.52640.53745.36829.84116.07228.46341.775
28113.0116.288.884.8107.286.474.0
291086.61128.6773.0730.01010.7746.7607.3
30148.0144.8114.0118.0144.0113.0116.0
311570.21524.01098.21154.51512.21084.01126.0
32854.5945.3734.5688.7801.9709.0607.8
331532.31478.41154.11148.81348.81084.01101.6
343.5353.4392.7072.3994.5683.5374.244
350.8770.6971.4250.7450.8030.8211.134
362.4422.2852.0531.1181.5261.2041.035
3787.86887.15675.52484.97289.15185.96390.046
3844.02948.58547.35852.49847.10553.84751.967
3941.94048.00545.90251.15845.94853.49349.990
4039.20138.29442.15845.28139.60642.35045.856
410.538NA0.4341.4379.145NA3.368
4296.152113.450107.560144.48693.734143.428122.910
4355.47158.48961.58174.22063.84580.472NA
440.8870.7750.7500.3900.5880.4880.658
450.0450.0630.0580.0490.0450.0430.045
463.8001.0331.1432.1722.0671.0002.826
4720283134501280214000187171275016564
48222.3203.2126.764.4137.280.382.2
490.1520.2140.1530.1260.1380.1100.115
508.07311.18011.8758.7619.33410.7388.701
510.8170.7190.5570.3260.5110.3640.509
520.0400.0420.0260.0210.0360.0170.019
53204.688188.31094.10053.816119.45559.88563.629
540.1780.1160.0610.0520.1130.0940.063
552.49717.86416.29110.78010.57912.07213.243
560.2171.3091.8061.3480.7941.2342.091
570.1311.6331.5500.9451.0231.0771.047
584.43232.08535.92926.70618.68726.87035.317
Table 70: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (“L” = Line) under drought conditions. Growth conditions are specified in the experimental procedure section.
TABLE 71
Measured parameters in additional Sorghum accessions under drought conditions
Line/
Corr.
IDLine-29Line-30Line-31Line-32Line-33Line-34Line-35
181.12591.19491.25975.63584.77264.81981.827
20.1630.4530.3500.2200.2270.4080.416
30.3560.6020.6330.3610.3650.5610.591
425.92924.78121.28421.64423.47923.95925.378
58487104911882311730138691614325030
610.98211.53122.16749.00713.31332.10912.350
7NANA0.1740.1770.1780.1550.146
80.1140.1090.1010.1020.1120.1090.110
939.039.023.830.826.029.335.6
10476.750476.750311.250403.500341.250383.125470.650
11542.866561.268582.815506.799712.873625.018397.261
1232.22732.25839.81541.73245.25343.94217.384
1318615532214118602567930023005825292063002792002515769504
144001.92671.34808.24663.84845.44510.12317.9
15107.42867.195101.62498.272110.29999.76054.332
160.3510.3240.2740.3290.3170.2940.117
17147.091102.130142.655141.282157.432113.91180.454
180.6480.6930.6910.6480.8000.7480.455
190.6050.5580.4460.5380.4710.4390.195
201.7021.0901.1350.9611.3191.0401.580
21−13.110−13.302−13.168NA−12.932−12.773−13.641
2229.02029.21832.12731.51030.36734.52931.704
23NANA69.85465.96152.71468.98462.975
243717.87510.615198.415660.326643.716453.516261.8
2515.71515.00221.25417.99121.41218.68418.087
261588.5021445.3662590.1682483.4982041.5571695.6681071.869
2742.42836.05355.95854.93848.32739.82526.772
2874.074.093.489.595.089.593.4
29607.3607.3831.9781.0853.3781.0831.8
30115.3113.0136.6134.0136.5139.0143.3
311116.31084.01406.81369.01405.51442.01501.9
32534.3563.9775.3727.2779.1753.6761.3
331084.01084.01143.11184.51194.51164.11260.6
344.0925.5776.0983.9354.9083.2333.997
350.9591.0480.8880.8580.8191.0381.575
360.7350.6582.5634.1523.9132.7422.504
3791.80590.93776.22880.929NA81.23581.174
3858.13050.57548.28955.18552.58652.32851.328
3951.91250.60750.56556.93351.07250.31750.353
4052.57844.66943.08946.90447.91744.09743.414
4113.56016.2584.5924.2372.9733.4162.669
4290.902109.171130.887121.179100.865133.746113.632
43NANA31.22425.06933.72963.16661.858
440.4730.4801.2871.8181.7521.0271.114
450.0530.0460.0750.0630.0550.0600.090
462.1723.1071.5001.6251.1111.7082.900
4715183189061330010875147781400023500
4859.160.0233.7307.3331.2173.5205.7
490.1360.1170.1930.1750.1560.1580.276
508.5668.9818.5829.9188.5519.3558.996
510.3850.3871.1641.5281.6820.8371.046
520.0210.0200.0420.0290.0290.0330.073
5348.09148.428211.564258.277317.871141.388193.358
540.0690.0580.1080.0550.1030.0950.152
5513.92014.39124.75916.53727.69321.38111.370
562.1122.1842.2681.8362.5012.3521.293
571.3660.8642.4521.9051.8951.4250.829
5837.74725.92252.12445.98441.34235.70024.229
Table 71: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (“L” = Line) under drought conditions. Growth conditions are specified in the experimental procedure section.
TABLE 72
Measured parameters in Sorghum accessions under low N conditions
Line/
Corr.
IDLine-1Line-2Line-3Line-4Line-5Line-6Line-7
170.98280.77871.06262.93265.10474.27883.123
20.1490.2040.1230.1400.2890.0630.099
30.3030.1770.0910.3030.3210.0480.275
42.012NA1.6411.494NA1.565NA
51.617NA2.3061.380NA2.062NA
61.223NA1.0051.417NA1.674NA
70.925NA0.6670.580NA0.992NA
829.77530.57535.40430.66729.21823.38620.149
921836193191529124497446491371530944
1019.63517.3159.96511.71438.66012.44513.735
110.1790.1470.1530.1300.1350.2000.149
1224.772NA29.65737.888NA28.942NA
130.1210.1270.1320.1330.1300.1030.094
1433.829.635.028.526.333.621.8
15444.5380.4439.7373.5273.3428.2285.2
16661.8769.5745.2653.3610.1581.2324.5
1734.15035.09623.13218.83042.75538.92415.023
1822070840244380202150434021499680206850202182580016454200
193110.73929.42654.63987.64127.23314.92216.5
2088.128115.99587.409113.013114.98479.51242.224
210.2380.2810.2450.2940.2700.3000.126
22135.426108.347102.784108.131133.97794.10297.673
230.8710.8830.8180.7370.6850.6730.505
240.4190.4080.3640.4140.3900.4470.310
251.1541.3491.6352.1580.9901.1271.147
26−12.781−13.107−12.994−12.832−13.047−13.437−12.963
2730.75029.23330.85330.26229.00830.26829.357
2870.470NA71.85971.84961.25076.63865.094
2916770.410615.29361.412263.612503.97283.27295.8
3019.65714.27014.10117.05617.31715.07916.105
311700.32239.11281.71754.32275.71569.71123.2
3249.89868.28945.83953.94666.98237.49923.114
330.498NA0.4870.566NA0.453NA
34330.902384.754372.597326.628305.061290.601162.240
3592.00086.80081.20089.60089.50084.00095.800
36814.0751.3689.4782.2781.0720.7863.7
37139.0117.0122.6133.0115.3NA126.4
381442.01139.81215.21357.91115.5NA1266.7
39762.250669.063675.083757.650757.650649.438823.417
401258.51131.71129.01154.51123.31148.81148.8
4114.711NA12.0038.510NA9.037NA
423.9494.0993.3623.0232.1443.8194.352
430.8992.1781.9231.4762.0941.3702.046
442.7461.2711.2871.5573.2250.8991.665
4591.27090.88891.34987.33989.63087.14684.594
4656.30549.67746.96548.59842.80554.76343.717
4754.54051.73047.53848.72244.57452.84747.843
4850.16739.12842.38938.89736.19241.51437.042
496.4290.7893.95718.9035.8330.1372.175
50155.139162.491161.900181.391148.290144.063100.333
5149.46681.59076.05577.96160.22179.40172.605
520.5460.3600.3260.3080.6390.2430.407
530.03840.04970.04580.05290.05630.02810.0392
541.1432.2335.0342.2001.1002.7933.000
5519050.019500.030600.029007.113250.014125.019550.0
5693.293NA120.520126.608NA99.805NA
57166.039103.71585.70190.811205.65666.689138.327
580.2000.2310.2130.2430.2620.1310.183
5910.7189.6787.8799.47410.8359.7838.964
600.4820.3000.2870.2690.5220.1980.367
610.0220.0300.0290.0330.0340.0160.027
62146.54686.40075.73679.097166.99654.244124.591
630.1140.1140.1020.0830.1010.0850.127
6419.97726.22721.48521.74622.04816.90214.848
651.2771.6531.6011.3281.3111.2490.697
661.5742.3461.4302.4262.8551.1391.153
6732.65643.47230.90652.05957.15229.51925.534
Table 72: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (Line) under low N conditions. Growth conditions are specified in the experimental procedure section.
TABLE 73
Measured parameters in additional Sorghum accessions under low N conditions
Line/
Corr.
IDLine-8Line-9Line-10Line-11Line-12Line-13Line-14
1NA87.39385.48493.11655.44674.11667.367
20.0000.1050.2000.0370.2400.1650.244
30.1990.4160.5900.3440.1860.0320.206
4NA1.759NANANANANA
5NA1.160NANANANANA
6NA1.314NANANANANA
7NA0.892NANANANANA
823.74622.83816.50324.82025.57025.17729.479
9865422139481884627815265978513167
106.74510.98310.18031.7207.65010.1309.523
11NA0.1690.1310.1750.1680.1850.181
12NA22.900NANANANANA
130.1210.0960.0830.1110.1100.1080.123
1437.033.322.027.834.831.628.6
15453.5437.0303.1381.1448.5400.9366.1
16152.0633.4389.1306.5283.0558.3690.4
1712.90127.97027.66220.9119.96527.62534.066
186420783261927332115682010734122108205402158165022437200
191326.94021.63454.51697.21472.73041.22942.7
2031.06090.24058.67944.11835.68674.67484.101
210.1940.2250.0650.0850.1650.3570.296
22235.316156.903136.671190.285117.01975.92278.987
230.2000.7560.5090.4700.4990.6270.783
240.3600.3630.1220.1760.4690.5100.460
251.0671.4140.9491.1261.4641.2581.110
26−13.617−12.690−13.107−13.168−12.587−13.127−12.997
27NA30.04432.52332.46229.50329.28830.948
2871.93969.21068.57569.27979.73176.65873.608
293501.012503.715699.722712.48595.48279.614579.4
308.96719.41020.61522.69418.01713.93116.957
31520.91874.61912.8732.1810.61593.31572.2
3212.33143.66932.98319.06319.80140.77546.400
33NA0.403NANANANANA
3475.982316.713194.545153.235141.521279.168345.200
3576.00091.000120.600113.80085.80084.40086.800
36630.5802.31189.11097.1740.6725.2751.6
37112.0147.0145.5154.2148.0137.0119.0
381070.91554.51534.31659.71570.21412.01165.8
39630.500734.917NA945.250661.900670.000717.083
401084.01239.31492.21478.11189.11126.01117.6
41NA11.607NANANANANA
42NA5.2174.9756.2812.1474.0172.835
432.5000.6471.1530.9580.7110.9991.122
44NA1.3512.8752.1491.0600.8771.046
4592.26787.17186.65288.08786.86785.89191.490
46NA51.18946.23857.36349.61753.64748.521
4750.11253.10842.77756.93349.05250.50048.795
4841.90040.08336.01739.36936.29740.44245.400
495.20010.090NA5.2481.4509.657NA
50189.473125.519140.628160.009159.603178.499157.837
5184.08567.66873.14671.74882.45474.35079.973
520.1180.3810.4820.4370.1960.2320.231
530.01790.04360.07420.05180.02530.02690.0361
541.8262.4711.2002.2672.5333.8331.536
5512833.320833.313166.714150.025900.018950.018250.0
56NA104.355NANANANANA
5726.195119.974240.975200.84555.27164.62368.036
580.0780.2230.4180.2920.1220.1250.168
597.8949.5036.87611.0069.4278.6808.355
600.0860.3460.4620.3680.1690.1950.199
610.0110.0280.0630.0430.0140.0130.015
6219.450108.992230.795169.12547.62154.49358.513
630.0530.1190.4670.1920.0590.0520.071
643.97618.90717.98611.8768.17917.22524.337
650.3161.2460.6900.5440.5671.1991.483
660.4891.5111.5180.7470.6061.4171.635
6712.03440.63040.85813.33017.47134.93831.887
Table 73: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (Line) under low N conditions. Growth conditions are specified in the experimental procedure section.
TABLE 74
Measured parameters in additional Sorghum accessions under low N conditions
Line/
Corr.
IDLine-15Line-16Line-17Line-18Line-19Line-20Line-21
171.20487.74466.57788.72969.23682.99161.314
20.2800.1080.1420.1970.0440.1760.009
30.2760.2150.0800.2270.0340.1510.057
4NANANANANANANA
5NANANANANANANA
6NANANANANANANA
7NANANANANANANA
822.65416.49636.95916.85026.57717.79321.080
91493418163289621874612235154537724
109.86511.36319.74416.13517.34813.8608.299
110.1770.1650.1990.1600.1830.185NA
12NANANANANANANA
130.1160.0790.1440.0890.1130.0880.101
1422.229.229.530.035.424.642.6
15293.6384.4389.3405.6454.6323.1527.5
16605.1366.7423.1280.2590.6454.7263.7
1737.09617.57316.1015.70436.43228.13113.219
1825344720200359201158282314659840208187402329956011431484
193864.42620.71944.01369.33561.93839.11999.4
2085.48144.33566.85923.58095.69168.24143.298
210.3270.1960.1460.0740.3510.2580.290
22107.039176.32083.00766.675117.48098.12047.498
230.6930.5800.4740.5770.6790.5080.262
240.4920.3520.2570.2030.5260.3900.367
251.0641.1081.7792.2981.1541.2202.537
26−12.960−13.070−12.937−12.773−13.347−12.603−12.827
2729.69430.34330.74232.60829.95029.89827.933
2868.65470.91773.21065.33075.55162.980NA
2916710.413218.214464.511759.28621.813816.86363.6
3021.00720.01521.47617.65918.51820.68414.810
312037.51422.1854.8449.61466.91989.8659.5
3246.21324.50831.9027.67740.56235.60514.155
33NANANANANANANA
34302.543183.331211.574140.091295.283227.327131.841
35103.80094.00097.750107.40084.60095.80074.000
36967.4840.0889.31013.4726.8863.6607.3
37143.0NA149.0148.4144.0137.0NA
381498.3NA1584.51576.21512.81412.0NA
39892.583769.500814.250905.750641.550772.950534.250
401261.01224.41278.51419.01181.31186.61134.7
41NANANANANANANA
423.5675.9073.2186.0713.7014.3752.217
430.7730.7671.0741.2610.6950.6370.878
442.3471.0343.9321.5001.3181.6830.782
4591.39884.46992.50285.15088.16087.00692.399
4646.30750.00356.17149.74251.29248.13252.547
4747.38755.86055.53549.91851.23248.13344.398
4839.88639.14241.95341.99244.54239.44238.208
490.8520.4986.5373.6254.0360.61711.122
50153.250149.854148.157123.344147.837130.549150.061
5147.45878.79948.80865.76874.64143.761NA
520.4120.2770.6910.3190.3210.4110.233
530.02700.02650.05070.03450.02390.02650.0198
541.2411.3004.7924.2672.3671.4334.933
5515050.018650.026500.047771.415378.614791.323437.3
56NANANANANANANA
57159.39090.693240.230133.70588.750138.09848.102
580.1390.1340.2670.1940.1150.1290.092
599.7798.56612.7287.75310.9457.7537.522
600.3870.2420.6340.2800.2590.3680.193
610.0140.0170.0380.0280.0110.0160.012
62149.52579.330220.486117.57071.401123.36839.803
630.0690.0550.1470.1060.0710.0920.092
6427.27713.00214.8109.34116.67018.4926.211
651.1830.7310.7930.4971.2290.9340.566
662.1060.8851.3490.3661.2511.4600.593
6744.01626.27519.65411.96731.06941.68325.750
Table 74: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (Line) under low N conditions. Growth conditions are specified in the experimental procedure section.
TABLE 75
Measured parameters in additional Sorghum accessions under low N conditions
Line/
Corr.
IDLine-22Line-23Line-24Line-25Line-26Line-27Line-28
190.32885.73871.24160.07494.77960.58881.112
20.1940.2090.1450.151NA0.0740.012
30.4070.6930.2250.2770.4720.1790.050
4NA1.4661.411NANANANA
5NA1.9761.639NANANANA
6NA0.6950.986NANANANA
7NA0.4880.700NANANANA
826.72122.72331.56620.30731.21821.46825.958
93288062130280108133NA1876213549
1020.35819.75036.95510.978NA18.17014.521
110.1560.1640.1780.146NA0.188NA
12NA18.14240.260NANANANA
130.1290.1050.1360.1020.1330.1050.109
1429.029.232.831.822.429.442.3
15395.4404.3428.3411.5295.7380.9522.0
16145.5282.2605.5378.0581.1291.8671.5
179.49419.13136.40021.95936.59519.13833.894
184496747115415181874065016305080203823401216428623557125
19592.61907.33702.62806.63624.32363.93599.6
2017.46543.235111.35059.062109.25552.91293.946
210.0520.0860.3120.2370.2180.2060.364
22178.349124.018150.21082.476123.731113.667108.224
230.3470.4850.7100.5030.7200.6390.774
240.1580.2350.5180.4390.3420.4260.518
251.6870.9781.3411.0211.5311.1631.431
26−12.900−12.356−13.100−13.060−12.753−12.897−13.027
2728.39228.58030.16430.86330.92230.48528.167
2860.37272.78366.84273.948NA76.292NA
2916953.326482.615781.48543.0NA15080.69350.7
3020.91824.37318.20416.931NA21.53516.783
31161.41071.82162.91311.71900.61326.51619.0
324.76724.81366.88627.13858.63930.34342.588
33NA0.2660.568NANANANA
3472.738141.110302.756188.981290.536145.891335.752
35111.000118.00088.60086.600102.80087.80074.000
361060.41153.7771.5748.3955.2762.3607.3
37148.3149.2125.3134.0152.2NANA
381575.31586.71250.81369.01631.0NANA
39912.250NA751.550677.800901.250727.250574.750
401483.81558.01199.71159.81250.91143.11129.3
41NA8.7857.165NANANANA
424.0032.9812.9152.8846.8472.3193.891
430.8390.8541.5460.8170.8300.5720.740
443.3994.5572.6430.907NA1.3540.847
4588.58188.91689.90093.13490.59692.35693.272
4647.81947.10554.95050.33843.19250.74255.121
4748.95041.01349.18249.58748.73252.50052.931
4835.94638.51940.50348.41740.56441.08944.604
491.761NA3.73610.92436.7930.5026.363
5096.895165.864153.371165.165NA153.072143.283
5152.29562.87456.19278.702NA81.757NA
520.6290.8040.6140.185NA0.2740.340
530.03320.04430.04420.02680.05360.02960.0281
545.3331.0001.4331.8331.4001.0673.500
5526033.313200.014404.813600.015500.013466.720520.8
56NA194.870128.452NANANANA
57306.075385.010180.83153.288NA80.79570.308
580.2040.2500.2140.1270.2720.1380.133
599.42611.93712.7469.969NA10.9829.123
600.5910.7620.4890.147NA0.2130.270
610.0270.0340.0210.0150.0350.0170.014
62285.717365.260143.87642.310NA62.62555.786
630.2440.2670.0760.0690.1870.0640.057
647.5629.86819.78412.09325.9509.99915.852
650.3330.5011.2670.7991.1340.6271.409
660.3890.8692.1901.0092.4351.0451.125
674.99323.22044.88230.09336.30725.42633.842
Table 75: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (Line) under low N conditions. Growth conditions are specified in the experimental procedure section.
TABLE 76
Measured parameters in additional Sorghum accessions under low N conditions
Line/Corr.
IDLine-29Line-30Line-31Line-32Line-33Line-34
173.95688.15294.30684.53568.63284.006
20.0840.2540.0880.1180.2200.205
30.0920.0690.1750.1370.3260.404
4NA1.684NA1.326NA2.015
5NA1.532NA1.478NA1.703
6NA1.380NA1.137NA1.584
7NA0.856NA0.808NA0.539
827.92828.40220.91124.41423.54426.070
994921455427231182601832242073
1010.88311.09816.01422.55419.83714.741
11NANA0.2000.1780.1590.158
12NA35.158NA43.484NA15.477
130.1180.1160.0980.1130.1040.109
1442.342.026.331.329.833.2
15522.5518.8344.9412.3391.0437.0
16510.9774.6816.4922.4828.4485.5
1727.85840.00157.51350.77448.67726.396
18164794752574758036116975368606503356207518000140
192406.13436.26082.55855.74395.83020.8
2068.15795.293127.781139.390101.23976.087
210.3440.3340.2560.3660.3000.114
22138.647112.243185.571222.258140.774115.633
230.6350.9260.9690.9961.0400.585
240.6100.5330.4250.5350.4860.176
251.0801.1611.0181.1441.0621.281
26−13.023−12.976−13.033−12.842−12.637−13.032
2727.84627.98230.51729.68532.51729.522
28NANA67.30268.59071.74069.007
295454.09065.620008.021922.815977.018430.4
3015.37415.42021.19420.83717.49620.502
311259.41724.03230.23170.32099.31383.3
3236.01648.78169.21179.25049.55036.400
33NA0.592NA0.577NA0.312
34255.429387.307408.199461.182414.199242.755
3574.00074.00096.50096.00092.50092.000
36607.3607.3872.8866.3820.0813.4
37NA125.0145.0NA136.5135.5
38NA1247.51528.0NA1405.51392.6
39574.750607.250814.250749.083769.500772.950
401129.81126.01217.61278.61211.01250.3
41NA11.089NA10.961NA13.237
423.1775.3656.8614.9593.3854.381
430.8521.1740.8230.7720.9141.537
440.6000.6553.1273.2791.8374.079
4593.54094.22985.91087.60692.15992.029
4655.48349.84845.77551.03145.04250.562
4752.16749.88747.29253.75045.91250.865
4846.86441.39439.91341.77139.51938.342
495.1171.572NA12.8270.7655.673
50151.126142.923152.429133.144159.389139.693
51NANA30.29839.91172.54350.458
520.2200.2840.8660.8110.3851.105
530.02260.03100.05260.03980.03190.0801
543.4583.4002.2501.0001.0832.833
5516495.817950.012910.715812.515567.918400.0
56NA102.189NA112.370NA154.249
5745.40858.552293.949275.478124.359343.974
580.1050.1450.2630.2120.1630.405
598.6278.7819.0469.3969.4129.063
600.1670.2300.8190.7450.3241.058
610.0090.0150.0300.0180.0170.066
6234.52447.455277.935252.924104.523329.233
630.0450.0750.1470.0910.0830.217
6412.15418.44331.94429.92227.78414.902
651.0971.6641.6341.7401.6860.962
660.9101.1762.6732.6611.6711.316
6726.88535.28769.84461.56245.61031.897
Table 76: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (Line) under low N conditions. Growth conditions are specified in the experimental procedure section.
TABLE 77
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under normal conditions across
Sorghum accessions
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetIDNameRP valuesetID
LBY1490.793.32E−02212LBY1500.745.56E−02241
LBY1530.822.28E−0215LBY1550.932.49E−0315
LBY1560.822.43E−02233LBY1560.764.94E−02212
LBY1560.812.82E−02133LBY1580.841.75E−02233
LBY1580.774.12E−02212LBY1600.717.56E−0225
LBY1600.726.56E−02212LBY1600.762.20E−06163
LBY1600.712.01E−05153LBY1600.773.16E−0619
LBY1600.747.02E−06158LBY1600.712.65E−05161
LBY1610.914.87E−03256LBY1620.745.71E−02233
LBY1620.726.94E−02256LBY1620.832.20E−0215
LBY1630.804.11E−07163LBY1630.726.61E−02156
LBY1640.822.29E−02256LBY1640.871.08E−0215
LBY1650.793.59E−02133LBY1650.754.99E−02112
LBY1670.803.21E−0224LBY1670.897.78E−03241
LBY1680.726.66E−0217LBY1680.871.04E−0215
LBY1680.736.14E−0214LBY1680.812.60E−0216
LBY1700.774.08E−0214LBY1710.994.33E−06256
LBY1710.711.05E−04149LBY1710.793.49E−0214
LBY1730.727.08E−0225LBY1730.736.37E−02233
LBY1730.941.58E−03256LBY1770.851.56E−0227
LBY1770.707.82E−0226LBY1780.774.17E−0226
LBY1780.774.36E−0214LBY1790.736.07E−02256
LBY1800.973.03E−04256LBY1800.783.88E−02133
LBY1800.726.98E−02112LBY1850.796.32E−07163
LBY1850.722.10E−05162LBY1850.806.38E−0719
LBY1850.702.90E−05158LBY1850.722.31E−05157
LBY1850.832.03E−02156LBY1850.745.61E−06161
LBY1860.784.01E−0225LBY1860.736.40E−02212
LBY1860.707.76E−02256LBY1860.736.51E−02112
LBY1870.717.18E−0214LBY1870.755.46E−02141
LBY1890.764.94E−0227LBY1890.923.21E−0326
LBY1900.784.03E−0224LBY1910.764.58E−0214
LBY1920.736.34E−0214LGN30.717.66E−02233
LGN40.726.56E−02212LGN50.896.83E−0327
LGN50.774.14E−0226LGN50.793.31E−0217
LGN50.764.96E−0216LGN570.831.98E−02233
LGN70.951.09E−03256
Table 77. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID “—correlation set ID according to the correlated parameters specified in Table 60. “Exp. Set”—Expression set specified in Table 59. “R” = Pearson correlation coefficient; “P” = p value.
TABLE 78
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under drought stress conditions
across Sorghum accessions
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetIDNameRP valuesetID
LBY1630.716.44E−05352LBY1850.708.87E−05349
LBY1850.709.21E−05345LBY1850.708.32E−05352
Table 78. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance “Corr. ID “—correlation set ID according to the correlated parameters specified in Table 61. “Exp. Set”—Expression set specified in Table 59. “R” = Pearson correlation coefficient; “P” = p value
TABLE 79
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under Low N growth stress
conditions across Sorghum accessions
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetIDNameRP valuesetID
LBY140.736.20E−0246LBY1510.745.82E−02441
LBY1560.822.32E−02433LBY1560.831.98E−02412
LBY1590.802.92E−02433LBY1590.736.10E−02412
LBY1610.861.35E−0245LBY1620.736.00E−02433
LBY1620.764.85E−02412LBY1660.871.08E−0244
LBY1660.717.46E−02441LBY1680.736.48E−02456
LBY1770.812.81E−02456LBY1780.764.89E−0247
LBY1810.726.86E−0244LBY1860.905.68E−03456
LBY1920.802.97E−02456LGN540.889.25E−0347
LGN570.726.55E−0245LGN60.932.47E−0346
Table 79. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID “—correlation set ID according to the correlated parameters specified in Table 60. “Exp. Set”—Expression set specified in Table 59 “R” = Pearson correlation coefficient; “P” = p value

To produce a high throughput correlation analysis, the present inventors utilized a Maize oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 60K Maize genes and transcripts designed based on data from Public databases (Example 1). To define correlations between the levels of RNA expression and yield, biomass components or vigor related parameters, various plant characteristics of 12 different Maize hybrids were analyzed. Among them, 10 hybrids encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

All 10 selected maize hybrids were sampled in three time points (TP2=V2-V3 (when two to three collar leaf are visible, rapid growth phase and kernel row determination begins), TP5=R1-R2 (silking-blister), TP6=R3-R4 (milk-dough). Four types of plant tissues [Ear, flag leaf indicated in Table as leaf, grain distal part, and internode] were sampled and RNA was extracted as described in “GENERAL EXPERIMENTAL AND BIOINFORMATICS METHODS”. For convenience, each micro-array expression information tissue type has received a Set ID as summarized in Table 80 below.

TABLE 80
Tissues used for Maize transcriptome expression sets
Expression SetSet ID
Ear under normal conditions at reproductive stage: R1-R21
Ear under normal conditions at reproductive stage: R3-R42
Internode under normal conditions at vegetative stage: 3
Vegetative V2-3
Internode under normal conditions at reproductive stage: 4
R1-R2
Internode under normal conditions at reproductive stage: 5
R3-R4
Leaf under normal conditions at vegetative stage: 6
Vegetative V2-3
Leaf under normal conditions at reproductive stage: 7
R1-R2
Grain distal under normal conditions at reproductive 8
stage: R1-R2
Table 80: Provided are the identification (ID) number of each of the Maize expression sets

The following parameters were collected:

Grain Area (cm2)—At the end of the growing period the grains were separated from the ear. A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

Grain Length and Grain width (cm)—At the end of the growing period the grains were separated from the ear. A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths/or width (longest axis) was measured from those images and was divided by the number of grains.

Ear Area (cm2)—At the end of the growing period 6 ears were, photographed and images were processed using the below described image processing system. The Ear area was measured from those images and was divided by the number of Ears.

Ear Length and Ear Width (cm)—At the end of the growing period 6 ears were photographed and images were processed using the below described image processing system. The Ear length and width (longest axis) was measured from those images and was divided by the number of ears.

Filled per Whole Ear—it was calculated as the length of the ear with grains out of the total ear.

Percent Filled Ear—At the end of the growing period 6 ears were photographed and images were processed using the below described image processing system. The percent filled Ear grain was the ear with grains out of the total ear and was measured from those images and was divided by the number of Ears.

The image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

Additional parameters were collected either by sampling 6 plants per plot or by measuring the parameter across all the plants within the plot.

Normalized Grain Weight per plant (gr.), measurement of yield parameter—At the end of the experiment all ears from plots within blocks A-C were collected. Six ears were separately threshed and grains were weighted, all additional ears were threshed together and weighted as well. The grain weight was normalized using the relative humidity to be 0%. The normalized average grain weight per ear was calculated by dividing the total normalized grain weight by the total number of ears per plot (based on plot). In case of 6 ears, the total grains weight of 6 ears was divided by 6.

Ear fresh weight (FW) (gr.)—At the end of the experiment (when ears were harvested) total and 6 selected ears per plots within blocks A-C were collected separately. The plants' ears (total and 6) were weighted (gr.) separately and the average ear per plant was calculated for total (Ear FW per plot) and for 6 (Ear FW per plant).

Plant height and Ear height—Plants were characterized for height at harvesting. In each measure, 6 plants were measured for their height using a measuring tape. Height was measured from ground level to top of the plant below the tassel. Ear height was measured from the ground level to the place were the main ear is located Leaf number per plant—Plants were characterized for leaf number during growing period at 5 time points. In each measure, plants were measured for their leaf number by counting all the leaves of 3 selected plants per plot.

Relative Growth Rate was calculated using regression coefficient of leaf number change a long time course.

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed 64 days post sowing. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot. Data were taken after 46 and 54 days after sowing (DPS).

Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours.

Dry weight per plant—At the end of the experiment when all vegetative material from plots within blocks A-C were collected, weight and divided by the number of plants.

Ear diameter [cm]—The diameter of the ear at the mid of the ear was measured using a ruler.

Cob diameter [cm]—The diameter of the cob without grains was measured using a ruler.

Kernel Row Number per Ear—The number of rows in each ear was counted. The average of 6 ears per plot was calculated.

Leaf area index [LAI]=total leaf area of all plants in a plot. Measurement was performed using a Leaf area-meter.

Yield/LAI [kg]—is the ratio between total grain yields and total leaf area index.

TABLE 81
Maize correlated parameters (vectors)
Correlated parameter withCorrelation ID
Cob Diameter (mm)1
DW per Plant based on 6 (gr.)2
Ear Area (cm2)3
Ear FW per Plant based on 6 (gr.)4
Ear Height (cm)5
Ear Length (cm)6
Ear Width (cm)7
Ears FW per plant based on all (gr.)8
Filled per Whole Ear9
Grain Area (cm2)10
Grain Length (cm)11
Grain Width (cm)12
Growth Rate Leaf Number13
Kernel Row Number per Ear14
Leaf Number per Plant15
Normalized Grain Weight per Plant based on all (gr.)16
Normalized Grain Weight per plant based on 6 (gr.)17
Percent Filled Ear18
Plant Height per Plot (cm)19
SPAD R120
SPAD R221
Table 81.

Twelve maize varieties were grown and characterized for parameters, as described above. The average for each parameter was calculated using the JMP software, and values are summarized in Tables 82-83 below. Subsequent correlation between the various transcriptome sets for all or sub sets of lines was done by the bioinformatic unit and results were integrated into the database (Table 84 below).

TABLE 82
Measured parameters in Maize Hybrid
Ecotype/
TreatmentLine-1Line-2Line-3Line-4Line-5Line-6
128.9625.0828.0525.7328.7225.78
2657.50491.67641.11580.56655.56569.44
385.0685.8490.5195.9591.6272.41
4245.83208.33262.22263.89272.22177.78
5135.17122.33131.97114.00135.2894.28
619.6919.0520.5221.3420.9218.23
75.585.155.675.535.735.23
8278.19217.50288.28247.88280.11175.84
90.9160.9220.9270.9170.9080.950
100.750.710.750.770.810.71
111.171.091.181.201.231.12
120.810.810.800.800.820.80
130.280.220.280.270.310.24
1416.1714.6716.2015.8916.1715.17
1512.0011.1111.6911.7811.9412.33
16153.90135.88152.50159.16140.46117.14
17140.68139.54153.67176.98156.61119.67
1880.6286.7682.1492.7180.3882.76
19278.08260.50275.13238.50286.94224.83
2051.6756.4153.5555.2155.3059.35
2154.2857.1856.0159.6854.7759.14
Table 82.
TABLE 83
Measured parameters in Maize Hybrid additional parameters
Ecotype/
TreatmentLine-7Line-8Line-9Line-10Line-11Line-12
126.4325.1926.67
2511.11544.44574.17522.22
374.0376.5355.2095.36
4188.89197.22141.11261.11
5120.94107.7260.44112.50
619.0218.5716.6921.70
75.225.334.125.58
8192.47204.70142.72264.24
90.870.940.800.96
100.710.750.500.76
111.141.130.921.18
120.790.840.670.81
130.240.270.190.30
1416.0014.8314.2715.39
1512.4412.229.2812.56
16123.24131.2740.84170.66
17119.69133.5154.32173.23
1873.2581.0681.0691.60
19264.44251.61163.78278.44
2058.4855.8852.9853.8659.7549.99
2157.9960.3654.7751.3961.1453.34
Table 83
TABLE 84
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under normal conditions across
maize varieties
GeneCorr.GeneCorr.
NameRP valueExp. setSet IDNameRP valueExp. setSet ID
LBY1030.805.38E−0211LBY1030.834.17E−02212
LBY1040.777.55E−0271LBY1040.717.40E−02115
LBY1040.726.85E−0219LBY1040.764.90E−02112
LBY1040.831.07E−0281LBY1040.811.53E−02814
LBY1040.937.12E−04813LBY1040.921.32E−03811
LBY1040.743.47E−0286LBY1040.849.30E−03810
LBY1040.921.05E−0382LBY1040.961.42E−0487
LBY1040.792.05E−0288LBY1040.811.47E−0284
LBY1040.721.03E−01214LBY1040.796.28E−0229
LBY1050.774.07E−0243LBY1050.736.18E−02416
LBY1050.832.19E−02414LBY1050.726.98E−0246
LBY1050.803.15E−02419LBY1050.871.14E−0245
LBY1050.774.17E−0247LBY1050.923.50E−0348
LBY1050.822.37E−0244LBY1050.726.90E−02114
LBY1050.764.61E−02111LBY1050.764.84E−02110
LBY1050.726.82E−02119LBY1050.755.20E−0217
LBY1050.717.64E−02112LBY1050.772.57E−0289
LBY1050.723.00E−02314LBY1050.713.36E−02311
LBY1050.713.15E−02310LBY1050.781.28E−02318
LBY1050.742.13E−02319LBY1050.835.48E−0335
LBY1050.771.63E−0237LBY1050.818.53E−0338
LBY1050.722.95E−0234LBY1050.777.04E−02214
LBY1050.872.56E−0222LBY1050.815.01E−0225
LBY1060.714.65E−02512LBY1060.745.58E−0248
LBY1070.792.02E−0259LBY1070.717.11E−0246
LBY1070.774.25E−02418LBY1070.717.14E−0242
LBY1070.745.78E−02715LBY1070.755.06E−02721
LBY1070.822.37E−0279LBY1070.841.93E−02712
LBY1070.761.08E−0263LBY1070.779.15E−03616
LBY1070.761.06E−02617LBY1070.834.32E−0229
LBY1070.749.17E−02218LBY1070.721.05E−01212
LBY1100.707.69E−0273LBY1100.774.38E−02716
LBY1100.745.64E−02715LBY1100.913.87E−03713
LBY1100.793.46E−02721LBY1100.793.38E−02711
LBY1100.783.82E−0276LBY1100.764.61E−02710
LBY1100.755.09E−0277LBY1100.745.50E−0274
LBY1100.783.70E−02717LBY1100.724.21E−0281
LBY1100.771.51E−0239LBY1100.758.75E−02212
LBY1120.717.35E−02414LBY1120.783.73E−02115
LBY1120.783.89E−0219LBY1120.726.88E−02110
LBY1120.774.48E−02112LBY1120.739.94E−02214
LBY1130.803.14E−02115LBY1130.822.40E−0219
LBY1130.822.48E−02112LBY1130.782.26E−0281
LBY1130.921.35E−03813LBY1130.821.33E−02811
LBY1130.883.82E−03810LBY1130.801.70E−0282
LBY1130.821.19E−0287LBY1130.714.78E−0288
LBY1130.705.15E−0284LBY1140.736.49E−0243
LBY1160.743.44E−0256LBY1160.891.89E−0271
LBY1160.774.21E−0272LBY1160.734.16E−02813
LBY1160.763.00E−02811LBY1160.763.03E−0282
LBY1160.872.37E−02214LBY1170.774.17E−02115
LBY1170.783.82E−0219LBY1170.717.41E−02112
LBY1170.865.61E−03815LBY1170.971.59E−03214
LBY1170.929.96E−0325LBY1180.707.89E−0215
LBY1180.753.26E−02813LBY1180.801.63E−0282
LBY1180.796.29E−02214LBY1190.717.40E−02116
LBY1190.897.69E−03115LBY1190.764.62E−02111
LBY1190.941.93E−0319LBY1190.861.41E−02110
LBY1190.736.33E−02119LBY1190.803.21E−0217
LBY1190.932.20E−03112LBY1190.743.57E−02813
LBY1190.782.25E−0282LBY1200.721.08E−0141
LBY1200.705.17E−02814LBY1200.724.19E−02813
LBY1200.734.09E−02811LBY1200.857.21E−0382
LBY1200.811.55E−0287LBY1200.749.26E−02214
LBY1210.822.25E−02719LBY1210.736.24E−0275
LBY1210.755.18E−02712LBY1210.941.45E−0313
LBY1210.861.27E−02116LBY1210.822.43E−02114
LBY1210.745.70E−02113LBY1210.841.88E−02111
LBY1210.923.46E−0316LBY1210.793.31E−0219
LBY1210.774.36E−02110LBY1210.707.96E−02118
LBY1210.736.00E−02119LBY1210.822.31E−0215
LBY1210.803.00E−0217LBY1210.897.17E−0318
LBY1210.897.24E−03112LBY1210.951.07E−0314
LBY1210.914.34E−03117LBY1210.731.03E−01215
LBY1230.793.30E−02414LBY1230.793.62E−0213
LBY1230.745.72E−02116LBY1230.841.68E−02114
LBY1230.793.57E−02113LBY1230.717.65E−02111
LBY1230.861.36E−0216LBY1230.717.60E−02119
LBY1230.745.80E−0217LBY1230.906.03E−0318
LBY1230.871.07E−0214LBY1230.736.36E−02117
LBY1230.733.82E−0281LBY1230.791.06E−0233
LBY1230.761.82E−02311LBY1230.817.96E−0336
LBY1230.752.03E−02310LBY1230.781.34E−02319
LBY1230.722.89E−0237LBY1230.761.76E−0234
LBY1230.791.19E−02317LBY2330.882.10E−02214
LBY2330.711.13E−0125LBY50.764.59E−02715
LBY50.752.07E−0261LBY50.741.44E−02614
LBY50.761.09E−0262LBY50.731.67E−0265
LBY50.788.34E−0368LBY50.762.84E−0231
LBY50.786.53E−0229LBY50.786.57E−02218
LBY50.962.27E−03212LBY60.774.29E−02413
LBY60.783.67E−0246LBY60.871.03E−02113
LBY60.745.80E−0216LBY60.745.76E−0214
LGN170.724.42E−02518LGN170.843.85E−0241
LGN170.851.63E−0242LGN170.767.70E−0211
LGN170.745.57E−0212LGN170.891.71E−0229
LGN170.882.20E−02218LGN200.707.85E−0243
LGN200.812.63E−02418LGN200.736.22E−0273
LGN200.726.58E−0275LGN200.745.85E−02119
LGN200.717.17E−02112LGN200.722.97E−0233
LGN200.732.51E−02313LGN200.732.52E−02319
LGN200.742.37E−0235LGN200.751.91E−0238
LGN200.771.51E−0234LGN200.805.37E−02213
LGN200.711.15E−0129LGN200.921.04E−02210
LGN200.711.11E−01218LGN200.749.14E−02212
LGN200.731.02E−01217LGN230.916.58E−0461
LGN230.796.88E−03613LGN230.852.00E−0362
LGN230.832.68E−0368LGN230.787.60E−0364
LGN240.768.07E−0229LGN260.772.65E−02510
LGN260.739.62E−0211LGN260.821.22E−0281
LGN260.733.78E−02814LGN260.772.58E−02813
LGN260.714.85E−02811LGN260.734.08E−0282
LGN260.714.99E−0285LGN260.724.39E−0287
LGN260.705.25E−0288LGN330.731.02E−0129
LGN330.962.67E−03212LGN340.791.87E−0259
LGN340.851.43E−0243LGN340.923.81E−03416
LGN340.793.46E−02414LGN340.803.02E−02415
LGN340.861.40E−02411LGN340.793.40E−0246
LGN340.915.03E−0349LGN340.896.98E−03410
LGN340.922.89E−03419LGN340.905.43E−0345
LGN340.905.75E−0347LGN340.888.56E−0348
LGN340.871.09E−02412LGN340.822.39E−0244
LGN340.871.17E−02417LGN340.861.38E−0213
LGN340.923.40E−03116LGN340.784.06E−02114
LGN340.941.95E−03115LGN340.745.79E−02113
LGN340.932.15E−03111LGN340.774.40E−0216
LGN340.967.52E−0419LGN340.932.48E−03110
LGN340.861.37E−02119LGN340.888.85E−0315
LGN340.951.06E−0317LGN340.784.01E−0218
LGN340.861.37E−02112LGN340.793.47E−0214
LGN340.897.17E−03117LGN340.811.39E−0281
LGN340.753.17E−0282LGN340.835.24E−0333
LGN340.881.89E−03316LGN340.835.86E−03315
LGN340.881.92E−03313LGN340.901.08E−03311
LGN340.751.93E−0236LGN340.844.77E−0339
LGN340.932.61E−04310LGN340.835.17E−03319
LGN340.781.38E−0235LGN340.942.12E−0437
LGN340.826.92E−0338LGN340.891.28E−03312
LGN340.836.02E−0334LGN340.891.40E−03317
LGN340.777.59E−02215LGN350.772.45E−0255
LGN350.844.42E−0361LGN350.797.08E−0362
LGN350.701.19E−0127LGN360.748.96E−0271
LGN360.788.34E−03618LGN360.795.95E−02212
LGN390.717.54E−02416LGN390.745.83E−02415
LGN390.822.34E−02413LGN390.755.34E−0246
LGN390.749.14E−0211LGN390.745.97E−02114
LGN390.717.50E−02113LGN390.727.02E−0216
LGN390.717.30E−0218LGN390.736.52E−0214
LGN390.782.16E−02819LGN390.772.62E−0285
LGN490.707.73E−0249LGN490.821.27E−0281
LGN490.782.34E−0282LGN610.831.10E−0252
Table 84. Provided are the correlations (R) between the expression levels of the yield improving genes and their hom*ologs in various tissues [Expression (Exp) sets, Table 80] and the phenotypic performance [yield, biomass, growth rate and/or vigor components (Table 82-83) as determined using the Correlation vector (Corr.) in Table 81)] under normal conditions across maize varieties. P = p value.

Maize vigor related parameters under low nitrogen, 100 mM NaCl, low temperature (10±2° C.) and normal growth conditions—Twelve Maize hybrids were grown in 5 repetitive plots, each containing 7 plants, at a net house under semi-hydroponics conditions. Briefly, the growing protocol was as follows: Maize seeds were sown in trays filled with a mix of vermiculite and peat in a 1:1 ratio. Following germination, the trays were transferred to the high salinity solution (100 mM NaCl in addition to the Full Hoagland solution at 28±2° C., low temperature (“cold conditions” of 10±2° C. in the presence of Full Hoagland solution), low nitrogen solution (the amount of total nitrogen was reduced in 90% from the full Hoagland solution (i.e., to a final concentration of 10% from full Hoagland solution, final amount of 1.6 mM N, at 28±2° C.) or at Normal growth solution (Full Hoagland containing 16 mM N solution, at 28±2° C.). Plants were grown at 28±2° C.

Full Hoagland solution consists of: KNO3—0.808 grams/liter, MgSO4—0.12 grams/liter, KH2PO4—0.136 grams/liter and 0.01% (volume/volume) of ‘Super coratin’ micro elements (Iron-EDDHA [ethylenediamine-N,N′-bis(2-hydroxyphenylacetic acid)]—40.5 grams/liter; Mn—20.2 grams/liter; Zn 10.1 grams/liter; Co 1.5 grams/liter; and Mo 1.1 grams/liter), solution's pH should be 6.5-6.8].

Analyzed Maize tissues—Twelve selected Maize hybrids were sampled per each treatment. Two tissues [leaves and root tip] growing at 100 mM NaCl, low temperature (10±2° C.), low Nitrogen (1.6 mM N) or under Normal conditions were sampled at the vegetative stage (V4-5) and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 85-88 below.

TABLE 85
Maize transcriptome expression sets under semi
hydroponics and normal conditions
Expression setSet ID
leaf at vegetative stage (V4-V5) under Normal conditions1
root tip at vegetative stage (V4-V5) under Normal 2
conditions
Table 85: Provided are the Maize transcriptome expression sets at normal conditions.
TABLE 86
Maize transcriptome expression sets under semi hydroponics
and cold conditions
Expression setSet ID
leaf at vegetative stage (V4-V5) under cold conditions1
root tip at vegetative stage (V4-V5) under cold conditions2
Table 86: Provided are the Maize transcriptome expression sets at cold conditions.
TABLE 87
Maize transcriptome expression sets under semi hydroponics and
low N (Nitrogen deficient) conditions
Expression setSet ID
leaf at vegetative stage (V4-V5) under low N 1
conditions (1.6 mM N)
root tip at vegetative stage (V4-V5) under low N 2
conditions (1.6 mM N)
Table 87: Provided are the Maize transcriptome expression sets at low nitrogen conditions 1.6 mM Nitrogen.
TABLE 88
Maize transcriptome expression sets under semi hydroponics
and salinity conditions
Expression setSet ID
leaf at vegetative stage (V4-V5) under 1
salinity conditions (NaCl 100 mM)
root tip at vegetative stage (V4-V5) under 2
salinity conditions (NaCl 100 mM)
Table 88: Provided are the Maize transcriptome expression sets at 100 mM NaCl.

The following parameters were collected:

Leaves DW—leaves dry weight per plant (average of five plants).

Plant Height growth—was calculated as regression coefficient of plant height [cm] along time course (average of five plants).

Root DW—root dry weight per plant, all vegetative tissue above ground (average of four plants).

Root length—the length of the root was measured at V4 developmental stage.

Shoot DW—shoot dry weight per plant, all vegetative tissue above ground (average of four plants) after drying at 70° C. in oven for 48 hours.

Shoot FW—shoot fresh weight per plant, all vegetative tissue above ground (average of four plants).

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed 30 days post sowing. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.

12 different Maize hybrids were grown and characterized at the vegetative stage (V4-5) for different parameters. The correlated parameters are described in Table 89 below. The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 90-97 below. Subsequent correlation analysis was performed (Table 98-101). Results were then integrated to the database.

TABLE 89
Maize correlated parameters (vectors)
Correlated parameter withCorrelation ID
Leaves DW [gr]1
Plant height growth [cm/day]2
Root DW [gr]3
Root length [cm]4
SPAD5
Shoot DW [gr]6
Shoot FW [gr]7
Table 89: Provided are the Maize correlated parameters. “DW”-dry weight; “FW”-fresh weight.
TABLE 90
Maize accessions, measured parameters under low nitrogen
growth conditions
Ecotype/
TreatmentLine-1Line-2Line-3Line-4Line-5Line-6
10.570.450.460.480.360.51
20.750.810.880.690.830.84
30.380.350.250.360.310.30
444.5045.6344.2543.5940.6742.03
521.4321.2422.2324.5622.7526.47
62.561.962.011.941.942.52
723.2720.5819.2620.0217.9822.06
Table 90: Provided are the values of each of the parameters (as described above) measured in Maize accessions (Seed ID) under low nitrogen (nitrogen deficient) conditions. Growth conditions are specified in the experimental procedure section.
TABLE 91
Maize accessions, measured parameters under low nitrogen
growth conditions
Ecotype/
TreatmentLine-7Line-8Line-9Line-10Line-11Line-12
10.530.580.550.510.560.39
20.780.920.890.850.800.64
30.290.310.290.320.430.17
442.6545.0645.3142.1741.0337.65
522.0825.0923.7325.6825.0219.51
62.032.372.092.172.621.53
721.2822.1320.2919.9422.5015.93
Table 91: Provided are the values of each of the parameters (as described above) measured in Maize accessions (Seed ID) under low nitrogen (nitrogen deficient) conditions. Growth conditions are specified in the experimental procedure section.
TABLE 92
Maize accessions, measured parameters under 100 mM NaCl
growth conditions
Ecotype/
TreatmentLine-1Line-2Line-3Line-4Line-5Line-6
10.410.500.430.480.430.56
20.460.400.450.320.320.31
30.050.050.030.070.050.03
410.8811.2811.8210.088.4610.56
536.5539.9237.8241.3340.8244.40
62.432.192.252.261.541.94
719.5820.7818.4519.3515.6516.09
Table 92: Provided are the values of each of the parameters (as described above) measured in Maize accessions (Seed ID) under 100 mM NaCl (salinity) growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 93
Maize accessions, measured parameters under 100 mM NaCl
growth conditions
Ecotype/
TreatmentLine-7Line-8Line-9Line-10Line-11Line-12
10.330.510.470.980.480.15
20.290.360.370.350.310.27
30.100.060.020.040.050.01
410.1411.8310.5511.1810.098.90
537.9243.2239.8338.2038.1437.84
61.781.901.892.201.860.97
712.4616.9216.7517.6415.909.40
Table 93: Provided are the values of each of the parameters (as described above) measured in Maize accessions (Seed ID) under 100 mM NaCl (salinity) growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 94
Maize accessions, measured parameters under cold
growth conditions
Ecotype/
TreatmentLine-1Line-2Line-3Line-4Line-5Line-6
11.191.171.021.181.041.23
22.151.932.121.802.322.15
30.050.070.100.080.070.07
528.8829.1127.0832.3832.6832.89
65.744.863.984.224.634.93
773.7955.4653.2654.9258.9562.36
Table 94: Provided are the values of each of the parameters (as described above) measured in Maize accessions (Seed ID) under cold growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 95
Maize accessions, measured parameters under cold
growth conditions
Ecotype/
TreatmentLine-7Line-8Line-9Line-10Line-11Line-12
11.130.980.881.281.100.60
22.492.011.952.031.851.21
30.140.070.070.020.050.06
531.5833.0128.6531.4330.6430.71
64.824.033.573.994.641.89
763.6554.9048.2552.8355.0829.61
Table 95: Provided are the values of each of the parameters (as described above) measured in Maize accessions (Seed ID) under cold growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 96
Maize accessions, measured parameters under regular
growth conditions
Ecotype/
TreatmentLine-1Line-2Line-3Line-4Line-5Line-6
11.161.100.921.010.930.91
21.991.921.931.932.151.95
30.140.110.230.160.080.05
420.1515.8918.5918.7216.3814.93
534.5035.7734.7034.4235.2637.52
65.274.673.885.084.104.46
779.0062.8559.7363.9260.0664.67
Table 96: Provided are the values of each of the parameters (as described above) measured in Maize accessions (Seed ID) under regular growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 97
Maize accessions, measured parameters under regular
growth conditions
Ecotype/
TreatmentLine-7Line-8Line-9Line-10Line-11Line-12
11.111.011.011.021.230.44
22.231.941.972.051.741.26
30.170.100.070.100.140.03
417.4815.7415.7117.5816.1317.43
536.5036.0733.7434.3435.7429.04
64.684.594.084.615.422.02
768.1065.8158.3161.8770.0435.96
Table 97: Provided are the values of each of the parameters (as described above) measured in Maize accessions (Seed ID) under regular growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 98
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under normal conditions across
Maize accessions
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY1070.779.51E−0311LBY1140.742.34E−0224
LBY1200.732.64E−0227LBY1200.723.00E−0223
LGN170.801.03E−0227LGN330.778.77E−0317
LGN360.818.75E−0325LGN360.702.29E−0215
LGN490.732.53E−0227LGN490.781.35E−0225
Table 98. Provided are the correlations (R) between the expression levels of yield improving genes and their hom*ologues in tissues [Leaves or roots; Expression sets (Exp), Table 85] and the phenotypic performance in various biomass, growth rate and/or vigor components [Tables 96-97 using the Correlation vector (corr.) as described in Table 89] under normal conditions across Maize accessions. P = p value.
TABLE 99
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under low nitrogen conditions
across Maize accessions
GeneExp.Corr.GeneExp. Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LGN340.771.51E−0222LGN360.791.13E−0222
LGN360.835.33E−0325LGN490.881.76E−0325
LGN620.712.05E−0215LGN620.761.14E−0216
Table 99. Provided are the correlations (R) between the expression levels of yield improving genes and their hom*ologues in tissues [Leaves or roots; Expression sets (Exp), Table 87] and the phenotypic performance in various biomass, growth rate and/or vigor components [Tables 90-91 using the Correlation vector (corr.) as described in Table 89] under low nitrogen conditions across Maize accessions. P = p value.
TABLE 100
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under cold conditions across
Maize accessions
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY1040.713.27E−0226LBY1170.703.45E−0227
LBY50.714.78E−0216LGN170.811.42E−0213
LGN180.713.08E−0227
Table 100. Provided are the correlations (R) between the expression levels of yield improving genes and their hom*ologues in tissues [Leaves or roots; Expression sets (Exp), Table 86] and the phenotypic performance in various biomass, growth rate and/or vigor components [Tables 94-95 using the Correlation vector (corr.) as described in Table 89] under cold conditions (10 ± 2° C.) across Maize accessions. P = p value.
TABLE 101
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under salinity conditions across
Maize accessions
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY1050.723.00E−0222LBY1070.742.13E−0221
LBY1070.761.11E−0217LBY1130.771.60E−0223
LBY1210.752.10E−0221LBY1210.761.15E−0211
LGN260.809.46E−0323LGN360.797.08E−0312
Table 101. Provided are the correlations (R) between the expression levels of yield improving genes and their hom*ologues in tissues [Leaves or roots; Expression sets (Exp), Table 88] and the phenotypic performance in various biomass, growth rate and/or vigor components [Tables 92-93 using the Correlation vector (corr.) as described in Table 89] under salinity conditions (100 mM NaCl) across Maize accessions. P = p value.

To produce a high throughput correlation analysis, the present inventors utilized a Maize oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 60K Maize genes and transcripts designed based on data from Public databases (Example 1). To define correlations between the levels of RNA expression and yield, biomass components or vigor related parameters, various plant characteristics of 13 different Maize hybrids were analyzed under normal and defoliation conditions. Same hybrids were subjected to RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

13 maize hybrids lines were grown in 6 repetitive plots, in field. Maize seeds were planted and plants were grown in the field using commercial fertilization and irrigation protocols. After silking, 3 plots in every hybrid line underwent the defoliation treatment. In this treatment all the leaves above the ear (about 75% of the total leaves) were removed. After the treatment, all the plants were grown according to the same commercial fertilization and irrigation protocols.

Three tissues at flowering developmental (R1) and grain filling (R3) stage including leaf (flowering -R1), stem (flowering -R1 and grain filling -R3), and flowering meristem (flowering -R1) representing different plant characteristics, were sampled from treated and untreated plants. RNA was extracted as described in “GENERAL EXPERIMENTAL AND BIOINFORMATICS METHODS”. For convenience, each micro-array expression information tissue type has received a Set ID as summarized in Tables 102-103 below.

TABLE 102
Tissues used for Maize transcriptome expression sets
(Under normal conditions)
Expression SetSet ID
Female meristem at flowering stage under normal conditions1
leaf at flowering stage under normal conditions2
stem at flowering stage under normal conditions3
stem at grain filling stage under normal conditions4
Table 102: Provided are the identification (ID) numbers of each of the Maize expression sets.
TABLE 103
Tissues used for Maize transcriptome expression sets
(Under defoliation treatment)
Expression SetSet ID
Female meristem at flowering stage under defoliation treatment1
Leaf at flowering stage under defoliation treatment2
Stem at flowering stage under defoliation treatment3
Stem at grain filling stage under defoliation treatment4
Table 103: Provided are the identification (ID) numbers of each of the Maize expression sets.

The image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

The following parameters were collected by imaging.

1000 grain weight—At the end of the experiment all seeds from all plots were collected and weighed and the weight of 1000 was calculated.

Ear Area (cm2)—At the end of the growing period 5 ears were photographed and images were processed using the below described image processing system. The Ear area was measured from those images and was divided by the number of ears.

Ear Length and Ear Width (cm)—At the end of the growing period 6 ears were, photographed and images were processed using the below described image processing system. The Ear length and width (longest axis) was measured from those images and was divided by the number of ears.

Grain Area (cm2)—At the end of the growing period the grains were separated from the ear. A sample of ˜200 grains were weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

Grain Length and Grain width (cm)—At the end of the growing period the grains were separated from the ear. A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths/or width (longest axis) was measured from those images and was divided by the number of grains.

Grain Perimeter (cm)—At the end of the growing period the grains were separated from the ear. A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain perimeter was measured from those images and was divided by the number of grains.

Ear filled grain area (cm2)—At the end of the growing period 5 ears were photographed and images were processed using the below described image processing system. The Ear area filled with kernels was measured from those images and was divided by the number of Ears.

Filled per Whole Ear—was calculated as the length of the ear with grains out of the total ear.

Additional parameters were collected either by sampling 6 plants per plot or by measuring the parameter across all the plants within the plot.

Cob width [cm]—The diameter of the cob without grains was measured using a ruler.

Ear average weight [kg]—At the end of the experiment (when ears were harvested) total and 6 selected ears per plots were collected. The ears were weighted and the average ear per plant was calculated. The ear weight was normalized using the relative humidity to be 0%.

Plant height and Ear height—Plants were characterized for height at harvesting. In each measure, 6 plants were measured for their height using a measuring tape. Height was measured from ground level to top of the plant below the tassel. Ear height was measured from the ground level to the place were the main ear is located

Ear row num—The number of rows per ear was counted.

Ear fresh weight per plant (GF)—During the grain filling period (GF) and total and 6 selected ears per plot were collected separately. The ears were weighted and the average ear weight per plant was calculated.

Ears dry weight—At the end of the experiment (when ears were harvested) total and 6 selected ears per plots were collected and weighted. The ear weight was normalized using the relative humidity to be 0%.

Ears fresh weight—At the end of the experiment (when ears were harvested) total and 6 selected ears per plots were collected and weighted.

Ears per plant—number of ears per plant were counted.

Grains weight (Kg.)—At the end of the experiment all ears were collected. Ears from 6 plants from each plot were separately threshed and grains were weighted.

Grains dry weight (Kg.)—At the end of the experiment all ears were collected. Ears from 6 plants from each plot were separately threshed and grains were weighted. The grain weight was normalized using the relative humidity to be 0%.

Grain weight per ear (Kg.)—At the end of the experiment all ears were collected. 5 ears from each plot were separately threshed and grains were weighted. The average grain weight per ear was calculated by dividing the total grain weight by the number of ears.

Leaves area per plant at GF and HD [LAI, leaf area index]=Total leaf area of 6 plants in a plot his parameter was measured at two time points during the course of the experiment; at heading (HD) and during the grain filling period (GF). Measurement was performed using a Leaf area-meter at two time points in the course of the experiment; during the grain filling period and at the heading stage (VT).

Leaves fresh weight at GF and HD—This parameter was measured at two time points during the course of the experiment; at heading (HD) and during the grain filling period (GF). Leaves used for measurement of the LAI were weighted.

Lower stem fresh weight at GF, HD and H—This parameter was measured at three time points during the course of the experiment: at heading (HD), during the grain filling period (GF) and at harvest (H). Lower internodes from at least 4 plants per plot were separated from the plant and weighted. The average internode weight per plant was calculated by dividing the total grain weight by the number of plants.

Lower stem length at GF, HD and H—This parameter was measured at three time points during the course of the experiment; at heading (HD), during the grain filling period (GF) and at harvest (H). Lower internodes from at least 4 plants per plot were separated from the plant and their length was measured using a ruler. The average internode length per plant was calculated by dividing the total grain weight by the number of plants.

Lower stem width at GF, HD, and H—This parameter was measured at three time points during the course of the experiment: at heading (HD), during the grain filling period (GF) and at harvest (H). Lower internodes from at least 4 plants per plot were separated from the plant and their diameter was measured using a caliber. The average internode width per plant was calculated by dividing the total grain weight by the number of plants.

Plant height growth—the relative growth rate (RGR) of Plant Height was calculated as described in Formula III above.

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed 64 days post sowing. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot. Data were taken after 46 and 54 days after sowing (DPS).

Stem fresh weight at GF and HD—This parameter was measured at two time points during the course of the experiment: at heading (HD) and during the grain filling period (GF). Stems of the plants used for measurement of the LAI were weighted.

Total dry matter—Total dry matter was calculated using Formula XXI above.

Upper stem fresh weight at GF, HD and H—This parameter was measured at three time points during the course of the experiment; at heading (HD), during the grain filling period (GF) and at harvest (H). Upper internodes from at least 4 plants per plot were separated from the plant and weighted. The average internode weight per plant was calculated by dividing the total grain weight by the number of plants.

Upper stem length at GF, HD, and H—This parameter was measured at three time points during the course of the experiment; at heading (HD), during the grain filling period (GF) and at harvest (H). Upper internodes from at least 4 plants per plot were separated from the plant and their length was measured using a ruler. The average internode length per plant was calculated by dividing the total grain weight by the number of plants.

Upper stem width at GF, HD and H (mm)—This parameter was measured at three time points during the course of the experiment; at heading (HD), during the grain filling period (GF) and at harvest (H). Upper internodes from at least 4 plants per plot were separated from the plant and their diameter was measured using a caliber. The average internode width per plant was calculated by dividing the total grain weight by the number of plants.

Vegetative dry weight (Kg.)—total weight of the vegetative portion of 6 plants (above ground excluding roots) after drying at 70° C. in oven for 48 hours weight by the number of plants.

Vegetative fresh weight (Kg.)—total weight of the vegetative portion of 6 plants (above ground excluding roots).

Node number—nodes on the stem were counted at the heading stage of plant development.

TABLE 104
Maize correlated parameters (vectors) under normal grown
conditions and under the treatment of defoliation
Normal conditionsDefoliation treatment
Corr. Corr.
Correlated parameter withIDCorrelated parameter withID
1000 grains weight [gr.]11000 grains weight [gr.]1
Cob width [mm]2Cob width [mm]2
Ear Area [cm2]3Ear Area [cm2]3
Ear Filled Grain Area [cm2]4Ear Filled Grain Area [cm2]4
Ear Width [cm]5Ear Width [cm]5
Ear avr. Weight [gr.]6Ear avr weight [gr.]6
Ear height [cm]7Ear height [cm]7
Ear length [feret's diameter]8Ear length (feret's diameter)8
[cm][cm]
Ear row number [num]9Ear row number [num]9
Ears FW per plant (GF)10Ears dry weight (SP) [gr.]10
[gr./plant]
Ears dry weight (SP) [kg]11Ears fresh weight (SP) [kg]11
Ears fresh weight (SP) [kg]12Ears per plant (SP) [num]12
Ears per plant (SP) [num]13Filled/Whole Ear [ratio]13
Filled/Whole Ear [ratio]14Grain Perimeter [cm]14
Grain Perimeter [cm]15Grain area [cm2]15
Grain area [cm2]16Grain length [cm]16
Grain length [cm]17Grain width [mm]17
Grain width [cm]18Grains dry yield (SP) [kg]18
Grains dry yield (SP) [kg]19Grains yield (SP) [kg]19
Grains yield (SP) [kg]20Grains yield per ear (SP) 20
[kg]
Grains yield per ear (SP) [kg]21Leaves FW (HD) [gr.]21
Leaves FW (GF) [gr.]22Leaves area PP (HD) [cm2]22
Leaves FW (HD) [gr.]23Leaves 23
temperature_[GF] [° C.]
Leaves area PP (GF) [cm2]24Lower Stem FW [H] [gr.]24
Leaves area PP (HD) [cm2]25Lower Stem FW (HD) [gr.]25
Leaves temperature 26Lower Stem length [H] 26
(GF) [° C.][cm]
Lower Stem FW (GF) [gr.]27Lower Stem length (HD) 27
[cm]
Lower Stem FW (H) [gr.]28Lower Stem width [H] 28
[mm]
Lower Stem FW (HD) [gr.]29Lower Stem width 29
(HD) [mm]
Lower Stem length (GF) [cm]30Node number [num]30
Lower Stem length (H) [cm]31Plant_height [cm]31
Lower Stem length 32Plant height growth 32
(HD) [cm][cm/day]
Lower Stem width (GF) 33SPAD (GF) [SPAD unit]33
[mm]
Lower Stem width (H) [mm]34Stem FW (HD) [gr.]34
Lower Stem width 35Total dry matter (SP) [kg]35
(HD) [mm]
Node number [num]36Upper Stem FW (H) [gr.]36
Plant height [cm]37Upper Stem length (H) [cm]37
Plant height growth [cm/day]38Upper Stem width (H) [mm]38
SPAD (GF) [SPAD unit]39Vegetative DW (SP) [kg]39
Stem FW (GF) [gr.]40Vegetative FW (SP) [kg]40
Stem FW (HD) [gr.]41
Total dry matter (SP) [kg]42
Upper Stem FW (GF) [gr.]43
Upper Stem FW (H) [gr.]44
Upper Stem length (GF) [cm]45
Upper Stem length (H) [cm]46
Upper Stem width (GF) [mm]47
Upper Stem width (H) [mm]48
Vegetative DW (SP) [kg]49
Vegetative FW (SP) [kg]50
Table 104.

Thirteen maize varieties were grown, and characterized for parameters, as described above. The average for each parameter was calculated using the JMP software, and values are summarized in Tables 105-108 below. Subsequent correlation between the various transcriptome sets for all or sub set of lines was done and results were integrated into the database (Tables 109 and 110 below).

TABLE 105
Measured parameters in Maize Hybrid under normal conditions
Line/Corr.
IDLine-1Line-2Line-3Line-4Line-5Line-6Line-7
1296.50263.25303.61304.70281.18330.45290.88
224.6325.1123.2123.6922.8122.4023.18
382.3074.6377.0090.1583.8096.6378.36
480.8972.4273.4385.9680.6495.0374.41
54.6564.7874.9614.9984.6504.8024.786
6209.50164.63177.44218.53205.58135.77147.49
7121.67134.24149.64152.14143.83133.65118.39
822.0919.6220.0223.2122.6323.7420.31
913.0014.9414.5614.5613.5613.0616.12
10351.26323.08307.87330.60320.51434.60325.08
111.2571.0871.0651.3111.2341.3541.159
121.6871.4571.4121.6991.5191.7391.800
131.0001.1111.0001.0001.0001.0561.000
140.9820.9690.9530.9530.9490.9370.930
153.2993.2333.2753.3383.1783.3823.246
160.7200.6670.7060.7220.6710.7530.665
171.1251.1231.1331.1701.0811.1591.142
180.8080.7530.7890.7820.7870.8230.740
190.9070.8000.7660.9230.8330.9860.820
201.0370.9130.8691.0580.9531.1230.940
210.1510.1330.1280.1540.1390.1640.137
22230.13197.64201.03205.53224.81204.49212.41
23110.9780.57157.21128.83100.57111.80116.75
247034.606402.806353.076443.926835.506507.337123.48
254341.253171.004205.504347.503527.004517.333984.75
2633.1133.5233.8734.1833.7832.8533.19
2735.4025.0326.5121.7426.1334.4427.61
2823.5220.3425.0814.1817.5325.7420.60
2972.9959.9074.7290.4869.5266.9160.36
3019.3520.4020.9321.3820.0320.3118.08
3116.7620.0222.5921.6822.3421.3917.07
3214.5017.7520.0019.3520.3320.7515.00
3319.8616.8416.1416.3717.0117.5318.11
3419.4217.1916.0916.9217.5217.8817.96
3524.1420.5320.9724.4321.7019.4923.47
3615.2214.5614.6114.8315.0013.8314.28
37265.11255.94271.11283.89279.72268.78244.25
386.306.527.146.987.417.505.60
3959.7753.1753.2154.9553.9955.2455.38
40649.03489.32524.06512.66542.16627.76507.78
41758.61587.88801.32794.80721.87708.38660.70
422.572.062.322.442.362.572.23
4319.6115.5417.8210.7914.4120.3115.85
4412.9411.2112.986.507.9912.089.72
4516.6318.7518.3817.9217.6018.7917.07
4616.9318.7618.7220.0119.4019.6516.42
4716.0014.1113.5011.8913.0814.3415.04
4814.9313.0012.4412.0412.8913.2813.10
491.3080.9711.2511.1311.1281.2131.073
503.1572.2522.6072.5962.4162.6402.220
Table 105.
TABLE 106
Measured parameters in Maize Hybrid under normal conditions, additional maize lines
Line/Corr.
IDLine-8Line-9Line-10Line-11Line-12Line-13
1250.26306.20253.19277.03269.53274.81
224.8826.4723.0922.6923.5526.31
393.9196.7785.4476.7797.99
492.3195.4383.2874.3596.88
55.1825.0014.9524.7865.426
6207.11228.44215.92198.69188.50254.42
7145.24133.78143.71134.17143.00147.78
822.6023.8421.7420.0422.41
915.8914.0015.4414.8914.9416.78
10327.15363.70405.72338.24345.32369.69
111.2921.3711.2961.1921.1311.527
121.5951.7391.6811.5651.4211.891
131.0561.0001.0001.0001.0001.000
140.9820.9860.9740.9660.989
153.1823.2913.2693.2163.1553.384
160.6460.7050.6780.6700.6520.723
171.1181.1511.1631.1241.0901.206
180.7300.7740.7390.7560.7570.760
190.9211.0170.9420.8520.8131.142
201.0501.1551.0760.9740.9241.287
210.1540.1690.1570.1420.1360.190
22181.43199.22206.91168.54199.42200.12
23106.9585.97102.71105.73102.12143.06
246075.216597.676030.406307.066617.656848.03
253696.753926.673127.673942.753955.004854.00
2633.6633.7832.6433.9533.2833.90
2725.2626.1834.3125.5023.0625.59
2816.3518.9027.3022.3519.2622.82
2963.0755.8982.1360.0258.70116.12
3020.1819.8122.8919.8119.5321.40
3120.6918.4823.3119.3919.6619.97
3218.6820.5022.5719.8314.5020.33
3317.0916.8717.4916.6217.1017.38
3418.4217.4318.0717.6817.6118.93
3520.9721.4621.4122.1223.2524.31
3614.7215.4414.3314.4414.8914.39
37273.56273.22295.33259.25257.89277.19
386.967.027.836.986.567.25
3956.7655.8158.5451.6855.1654.16
40549.34509.74662.13527.43474.68544.03
41724.58618.46837.56612.81728.00950.29
422.732.332.402.202.082.84
4314.3917.8520.4213.9313.0516.45
446.989.4013.589.207.6910.17
4517.5218.1518.6117.6918.1518.64
4618.3416.6319.3816.7116.2715.92
4713.6314.7314.6113.1712.7714.15
4813.4813.4213.2713.1412.5313.79
491.4380.9611.1001.0070.9531.313
502.8972.2242.8272.2952.1512.900
Table 106.
TABLE 107
Measured parameters in Maize Hybrid under defoliation treatment
Line/
Corr. IDLine-1Line-2Line-3Line-4Line-5Line-6Line-7
1280.03251.86294.29295.36288.40308.25230.12
219.0322.1216.3121.5419.8418.2119.77
353.6045.5038.3158.4753.8963.5439.83
451.5042.9534.5955.6751.3661.4436.31
54.1814.2073.9194.7734.5064.6124.099
689.20100.7573.39129.84129.78115.0685.04
7119.44131.56145.53156.06145.28129.53123.38
816.3413.6312.8915.9415.3417.5313.21
912.7114.3613.0014.1213.4713.0714.06
100.7470.5830.4400.7420.7790.5760.454
110.9730.8330.6290.9791.0100.8030.648
121.0000.9441.0000.9441.0000.9410.889
130.9540.9150.8730.9500.9480.9610.905
143.1093.1443.1793.2073.1963.2303.130
150.6490.6320.6690.6750.6770.6830.631
161.0521.0801.0791.1101.0871.0941.066
170.7770.7400.7810.7650.7860.7880.750
180.5230.4000.2890.5170.5470.3980.302
190.6040.4560.3310.5880.6240.4580.345
200.0870.0690.0480.0900.0910.0800.056
21112.2794.99125.14144.48112.50116.16113.78
223914.003480.004276.504985.504643.504223.003436.00
2332.4733.0933.6432.2932.8733.4033.43
2423.0226.5026.9815.2418.1937.2127.88
2564.1653.8156.4180.9571.2766.6964.19
2616.2921.4420.8522.5822.9421.6218.76
2715.1518.5016.6718.0718.0019.8316.10
2819.5416.9015.7917.0117.1218.1718.21
2924.3020.5721.0624.8720.8520.4620.96
3015.1714.3915.0015.1114.5014.2214.39
31251.42248.64268.06285.11278.83261.88254.64
326.386.326.316.936.837.146.48
3361.2157.3658.0262.3660.7262.2259.65
34713.54538.04705.53803.33703.36664.23673.24
351.5391.3651.4401.5321.5711.5741.337
368.6811.0814.104.896.0413.9510.93
3716.2418.8317.7419.6420.7420.1417.18
3814.2712.8212.6911.0912.0013.0314.25
390.7920.7821.0000.7900.7920.9980.883
402.5111.9552.7972.1072.2052.7852.541
Table 107.
TABLE 108
Measured parameters in Maize Hybrid under defoliation treatment, additional maize lines
Line/Corr.
IDLine-8Line-9Line-10Line-11Line-12Line-13
1271.25259.43243.98262.41248.64244.16
222.4420.2819.6422.3223.3127.78
347.3365.9043.8343.2852.3058.31
443.3464.8039.5640.4349.2855.69
54.2024.6644.0564.0124.4074.975
633.10161.7689.3687.6888.18124.58
7135.00136.50136.39130.32139.71143.44
814.8217.6013.7813.7515.5314.87
913.7513.9412.7913.0014.2915.83
100.6300.8030.5360.5520.5120.748
110.8191.1480.8770.7910.6930.991
121.0000.8821.0001.0560.9441.000
130.9050.9830.8900.9180.9400.950
143.0163.1173.0863.0302.9763.153
150.6100.6230.6190.6000.5830.631
161.0241.0841.0541.0250.9951.095
170.7500.7240.7410.7380.7330.725
180.4390.6670.3590.3770.3440.531
190.5050.7670.4110.4350.3940.609
200.0730.1240.0600.0630.0590.088
2193.7489.8686.98117.27150.68161.65
224593.004315.504020.504154.004851.503750.00
2333.4233.9833.1232.6433.5533.27
2417.3320.5125.3628.4123.1638.80
2576.2357.8569.9867.3072.9083.58
2620.8817.8320.7020.4320.1124.13
2714.8317.5023.6719.0016.4520.60
2817.2317.8817.1217.5318.6319.87
2922.4721.2319.8521.2923.5821.37
3014.6715.6114.3914.0614.6114.00
31261.94268.88272.71262.50266.33279.14
326.287.047.207.346.947.27
3359.9956.7665.7057.9460.3157.71
34738.37692.23619.79729.23794.64847.52
351.4741.6631.4771.3141.4761.715
366.489.0110.6910.388.4912.29
3719.1216.7415.9617.3118.1917.77
3812.7713.5213.0813.4313.2114.72
390.8440.8600.9400.7620.9640.967
402.4752.3502.5952.4062.6992.721
Table 108.

Tables 109 and 110 hereinbelow provide the correlations (R) between the expression levels of yield improving genes and their hom*ologs in various tissues [Expression (Exp) sets, Tables 102-103] and the phenotypic performance [yield, biomass, growth rate and/or vigor components described in Tables 105-108 using the Correlation vector (Corr.) described in Table 104] under normal conditions (Table 109) and defoliation treatment (Table 110) across maize varieties. P=p value.

TABLE 109
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under normal conditions across
maize varieties
GeneExp. Corr.GeneExp.Corr.
NameRP valueset Set IDNameRP valuesetSet ID
LBY1040.863.65E−04346LBY1040.701.62E−02246
LBY1040.762.78E−03113LBY1050.811.39E−03346
LBY1050.746.40E−03310LBY1070.711.34E−02226
LBY1090.755.28E−03323LBY1110.701.11E−02346
LBY1140.701.59E−0229LBY1150.743.61E−03139
LBY1150.734.23E−03140LBY1160.847.06E−04323
LBY1160.764.45E−03325LBY1160.757.63E−03235
LBY1180.831.57E−0321LBY1200.731.12E−02314
LBY1200.892.52E−04237LBY1200.731.09E−02231
LBY1200.919.25E−05230LBY1200.749.23E−03238
LBY1210.743.50E−03133LBY1210.842.95E−04139
LBY1210.743.63E−03140LBY1210.762.73E−03150
LBY1220.711.03E−02310LBY1220.762.69E−03123
LBY1230.746.00E−03318LBY2330.731.08E−02237
LBY2330.823.90E−0328LBY50.701.05E−0232
LBY50.817.49E−04142LBY50.734.29E−03111
LBY60.866.98E−04243LBY60.731.12E−02227
LBY60.716.91E−03148LGN240.701.11E−0236
LGN240.716.18E−03133LGN240.744.09E−03148
LGN260.782.49E−03315LGN260.773.48E−03316
LGN260.783.07E−03325LGN260.763.86E−03310
LGN330.801.90E−03326LGN350.728.40E−03340
LGN350.736.49E−03310LGN350.711.01E−02328
LGN350.701.64E−02231LGN360.745.86E−03342
LGN360.701.07E−02319LGN360.719.84E−03311
LGN360.701.05E−02320LGN360.701.07E−02321
LGN390.763.77E−03345LGN390.711.38E−02228
LGN490.711.34E−02218LGN490.731.71E−0228
LGN620.758.49E−03228
Table 109: Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID”—correlation set ID according to the correlated parameters specified in Table 104. “Exp. Set”—Expression set specified in Table 102. “R” = Pearson correlation coefficient; “P” = p value.
TABLE 110
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under defoliation treatment
across maize varieties
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY1030.792.17E−03130LBY1050.736.78E−03333
LBY1050.701.08E−02134LBY1050.728.24E−03129
LBY1050.801.73E−03127LBY1070.773.31E−03131
LBY1070.811.30E−0315LBY1070.746.04E−03118
LBY1070.811.36E−0317LBY1070.728.14E−03110
LBY1070.755.02E−03119LBY1070.728.33E−03223
LBY1080.736.71E−0331LBY1080.763.96E−0312
LBY1080.727.93E−0319LBY1090.728.23E−03238
LBY1090.845.43E−04228LBY1100.728.37E−03129
LBY1110.783.02E−03127LBY1110.881.90E−04212
LBY1120.792.05E−03121LBY1150.811.54E−0312
LBY1160.773.37E−0319LBY1160.711.02E−02228
LBY1210.763.90E−03337LBY1210.727.83E−03317
LBY1210.728.01E−0339LBY1220.727.74E−03127
LBY130.719.28E−03139LBY130.745.59E−03127
LBY2330.728.71E−03333LBY2330.745.79E−03221
LBY2330.763.87E−03231LBY2330.745.61E−0325
LBY2330.839.17E−04234LBY2330.792.10E−03225
LBY2330.754.83E−0329LBY2330.764.36E−0327
LBY50.719.09E−03132LBY50.811.30E−03212
LBY60.728.87E−03111LBY60.764.09E−03118
LBY60.763.94E−03119LBY60.838.60E−04120
LGN180.728.27E−03230LGN200.755.28E−03329
LGN240.792.28E−0334LGN240.792.05E−0333
LGN240.855.35E−0438LGN240.773.46E−03111
LGN240.792.23E−03118LGN240.719.31E−03110
LGN240.792.00E−03119LGN240.801.79E−03120
LGN260.728.76E−0331LGN260.719.06E−03118
LGN260.701.06E−02119LGN260.782.98E−03120
LGN260.763.82E−0324LGN260.737.13E−03213
LGN260.763.75E−0326LGN260.727.74E−03218
LGN260.755.01E−0323LGN260.727.71E−03219
LGN260.846.89E−04220LGN330.711.03E−0231
LGN340.811.38E−03115LGN340.792.21E−03117
LGN390.764.26E−03337LGN390.745.82E−03130
LGN390.821.06E−03221LGN490.854.62E−04329
LGN490.727.97E−03115LGN490.782.67E−03117
Table 110: Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID”—correlation set ID according to the correlated parameters specified in Table 104. “Exp. Set”—Expression set specified in Table 103. “R” = Pearson correlation coefficient; “P” = p value.

In order to produce a high throughput correlation analysis between plant phenotype and gene expression level, the present inventors utilized a maize oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 60,000 maize genes and transcripts.

Correlation of Maize Hybrids Across Ecotypes Grown Under Low Nitrogen Conditions

12 Maize hybrids were grown in 3 repetitive plots in field. Maize seeds were planted and plants were grown in the field using commercial fertilization and irrigation protocols, which included 485 m3 water per dunam per entire growth period and fertilization of 30 units of nitrogen (using URAN® 21% fertilization) per dunam per entire growth period (normal conditions) or under low nitrogen conditions which included 50% percent less Nitrogen as compared to the amount of nitrogen provided under the normal conditions. In order to define correlations between the levels of RNA expression with NUE and yield components or vigor related parameters the 12 different maize hybrids were analyzed. Among them, 11 hybrids encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Analyzed Maize tissues—All 10 selected maize hybrids were sampled per each treatment (low N and normal conditions), in three time points (TP2=V6-V8 (six to eight collar leaf are visible, rapid growth phase and kernel row determination begins), TP5=R1-R2 (silking-blister), TP6=R3-R4 (milk-dough). Four types of plant tissues [Ear, “flag leaf” indicated in Table as “leaf”, grain distal part, and internode] were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Tables 111-112 below.

TABLE 111
Maize transcriptome expression sets under low nitrogen conditions
Expression SetSet ID
Ear under low nitrogen conditions at reproductive stage: R1-R21
Ear under low nitrogen conditions at reproductive stage: R3-R42
Internode under low nitrogen conditions at 3
vegetative stage: V6-V8
Internode under low nitrogen conditions 4
at reproductive stage: R1-R2
Internode under low nitrogen conditions at 5
reproductive stage: R3-R4
Leaf under low nitrogen conditions at vegetative stage: V6-V86
Leaf under low nitrogen conditions at reproductive stage: R1-R27
Leaf under low nitrogen conditions at reproductive stage: R3-R48
Table 111: Provided are the maize transcriptome expression sets under low nitrogen conditions Leaf = the leaf below the main ear; Flower meristem = Apical meristem following male flower initiation; Ear = the female flower at the anthesis day. Grain Distal = maize developing grains from the cob extreme area, Grain Basal = maize developing grains from the cob basal area; Internodes = internodes located above and below the main ear in the plant.
TABLE 112
Maize transcriptome expression sets under normal growth conditions
Expression SetSet ID
Ear at R1-R2 stage under normal conditions1
Grain distal at R4-R5 stage under normal conditions2
Internode at R3-R4 stage under normal conditions3
Leaf at R1-R2 stage under normal conditions4
Ear at R3-R4 stage under normal conditions5
Internode at R1-R2 stage under normal conditions6
Internode at V6-V8 stage under normal conditions7
Leaf at V6-V8 stage under normal conditions8
Table 112: Provided are the maize transcriptome expression sets under normal growth conditions. Leaf = the leaf below the main ear; Flower meristem = Apical meristem following male flower initiation; Ear = the female flower at the anthesis day. Grain Distal = maize developing grains from the cob extreme area, Grain Basal = maize developing grains from the cob basal area; Internodes = internodes located above and below the main ear in the plant.

The following parameters were collected using digital imaging system:

Grain Area (cm2)—At the end of the growing period the grains were separated from the ear. A sample of ˜200 grains were weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

Grain Length and Grain width (cm)—At the end of the growing period the grains were separated from the ear. A sample of ˜200 grains were weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths/or width (longest axis) was measured from those images and was divided by the number of grains.

Ear Area (cm2)—At the end of the growing period 5 ears were photographed and images were processed using the below described image processing system. The Ear area was measured from those images and was divided by the number of Ears.

Ear Length and Ear Width (cm)—At the end of the growing period 5 ears were photographed and images were processed using the below described image processing system. The Ear length and width (longest axis) was measured from those images and was divided by the number of ears.

The image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

Additional parameters were collected either by sampling 6 plants per plot or by measuring the parameter across all the plants within the plot.

Normalized Grain Weight per plant (gr.)—At the end of the experiment all ears from plots within blocks A-C were collected. Six ears were separately threshed and grains were weighted, all additional ears were threshed together and weighted as well. The average grain weight per ear was calculated by dividing the total grain weight by number of total ears per plot (based on plot). In case of 6 ears, the total grains weight of 6 ears was divided by 6.

Ear FW (gr.)—At the end of the experiment (when ears were harvested) total and 6 selected ears per plots within blocks A-C were collected separately. The plants (total and 6) were weighted (gr.) separately and the average ear per plant was calculated for total (Ear FW per plot) and for 6 (Ear FW per plant).

Plant height and Ear height—Plants were characterized for height at harvesting. In each measure, 6 plants were measured for their height using a measuring tape. Height was measured from ground level to top of the plant below the tassel. Ear height was measured from the ground level to the place were the main ear is located.

Leaf number per plant—Plants were characterized for leaf number during growing period at 5 time points. In each measure, plants were measured for their leaf number by counting all the leaves of 3 selected plants per plot.

Relative Growth Rate was calculated using Formulas II-XIII, XXVIII, and/or XXXIV (described above).

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at early stages of grain filling (R1-R2) and late stage of grain filling (R3-R4). SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot. Data were taken after 46 and 54 days after sowing (DPS).

Dry weight per plant—At the end of the experiment (when inflorescence were dry) all vegetative material from plots within blocks A-C were collected.

Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours.

Harvest Index (HI) (Maize)—The harvest index per plant was calculated using Formula XVII above.

Percent Filled Ear [%]—The percent of filled ear was calculated as the percentage of the Ear area with grains out of the total ear.

Cob diameter [cm]—The diameter of the cob without grains was measured using a ruler.

Kernel Row Number per Ear—The number of rows in each ear was counted.

11 different maize hybrids were grown and characterized for different parameters. Tables 111-112 describe the Maize expression sets, and Tables 113-114 below describe the Maize correlated parameters. The average for each of the measured parameters was calculated using the JMP software (Tables 115-118) and a subsequent correlation analysis was performed (Table 119-120). Results were then integrated to the database.

TABLE 113
Maize correlated parameters (vectors) under low nitrogen conditions
Correlation
Correlated parameter withID
Ear Length under Low N conditions [cm]1
Ear Length of filled area under Low N conditions [cm]2
Ear width under Low N conditions [mm]3
Final Leaf Number under Low N conditions [num]4
Final Main Ear Height under Low N conditions [cm]5
Final Plant Height under Low N conditions [cm]6
No of rows per ear under Low N conditions [num]7
SPAD at R1-R2 under Low N conditions [SPAD unit]8
SPAD at R3-R4 under Low N conditions [SPAD unit]9
Stalk width at TP5 under Low N conditions [mm]10
Ears weight per plot under Low N conditions [kg]11
Final Plant DW under Low N conditions [kg]12
NUE yield/N applied in soil under Low N conditions [ratio]13
NUE at early grain filling (R1-R2) yield [kg]/N in plant per14
SPAD under Low N conditions
NUE at grain filling (R3-R4) yield [kg]/N in plant per SPAD15
under Low N conditions
NUpE under Low N conditions [biomass/N applied]16
Seed yield per dunam under Low N conditions [kg]17
Yield/LAI under Low N conditions [ratio]18
Yield/stalk width under Low N conditions [ratio]19
seed yield per plant under Low N conditions [kg]20
Table 113. “cm” = centimeters' “mm” = millimeters; “kg” = kilograms; SPAD at R1-R2 and SPAD R3-R4: Chlorophyll level after early and late stages of grain filling; “NUE” = nitrogen use efficiency; “NUpE” = nitrogen uptake efficiency; “LAI” = leaf area index; “N” = nitrogen; Low N = under low Nitrogen conditions; “dunam” = 1000 m2.
TABLE 114
Maize correlated parameters (vectors) under normal conditions
Correlated parameter withCorr. ID
Final Plant DW under Normal conditions [kg]1
Ear Length under Normal conditions [cm]2
Ear Length of filled area under Normal conditions [cm]3
Ear width under Normal conditions [mm]4
Final Leaf Number under Normal conditions [num]5
Final Main Ear Height under Normal conditions [cm]6
Final Plant Height under Normal conditions [cm]7
No of rows per ear under Normal conditions [num]8
SPAD at R1-R2 under Normal conditions [SPAD unit]9
SPAD at R3-R4 under Normal conditions [SPAD unit]10
Stalk width at TP5 under Normal conditions [cm]11
Ears weight per plot under Normal conditions [kg]12
NUE yield/N applied in soil under Normal conditions [ratio]13
NUE at early grain filling [R1-R2] yield [kg]/N in plant 14
per SPAD under Normal conditions [ratio]
NUE at grain filling [R3-R4] yield [kg]/N in plant per 15
SPAD under Normal conditions [ratio]
NUpE under Normal conditions [biomass/N applied]16
Seed yield per dunam [kg]under Normal conditions [kg]17
Yield/LAI under Normal conditions [ratio]18
Yield/stalk width under Normal conditions [ratio]19
Seed yield per plant under Normal conditions [kg]20
Table 114. “cm” = centimeters' “mm” = millimeters; “kg” = kilograms; SPAD at R1-R2 and SPAD R3-R4: Chlorophyll level after early and late stages of grain filling; “NUE” = nitrogen use efficiency; “NUpE” = nitrogen uptake efficiency; “LAI” = leaf area index; “N” = nitrogen; “Normal” = under normal conditions; “dunam” = 1000 m2.
TABLE 115
Measured parameters in Maize accessions under Low nitrogen conditions
Line/
Corr. ID12345678910
Line-120.61418.39846.71315.024158.076305.83614.18160.23659.2862.764
Line-220.97618.41748.22211.643136.238270.92915.21457.93857.6212.419
Line-320.22219.77848.32313.500128.389290.61115.00058.76158.4002.650
Line-420.11118.83349.86311.611133.056252.16715.66759.47859.1892.767
Line-520.11116.22252.87311.833137.833260.22216.00058.50058.1942.672
Line-618.50016.00047.43611.88999.556227.22215.94464.03962.6672.594
Line-719.05615.27849.60912.556130.167271.72215.55656.42261.0442.983
Line-818.25015.69448.56711.667114.611248.61114.50060.00059.8672.611
Line-920.09516.77152.40612.443143.862279.32916.41058.31757.4672.650
Line-1017.80614.05642.6349.27861.611171.27814.36753.06149.6112.278
Line-1121.25019.55650.00313.167114.444269.77815.74461.71761.8672.817
Table 115. Provided are the values of each of the parameters (as described above) measured in maize accessions (line) under low nitrogen growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 116
Additional parameters in Maize accessions under Low nitrogen conditions
Line/
Corr.
ID11121314151617192018
Line-16.6051.5937.22518.02318.3520.01061083.749416.5320.135341.501
Line-27.9741.4298.41121.78721.9190.00951261.635528.3830.158408.093
Line-39.6341.53310.32826.33526.4790.01021549.245583.4580.194464.768
Line-49.2221.9509.98625.14425.3330.01301497.865541.0170.187522.258
Line-57.6301.4837.62619.54719.6850.00991143.850428.0890.143439.525
Line-67.2151.6007.72818.04918.5410.01071159.260444.2940.145312.581
Line-77.9171.5838.04921.38819.7850.01061207.424407.2000.151345.901
Line-828.9611.2838.33420.78820.9170.00861250.052477.4380.156287.735
Line-97.7971.5147.64019.67619.9350.01011146.036445.6040.143
Line-102.4100.4332.5557.2137.7220.0029383.219167.9020.048
Line-119.7751.51710.59925.70225.9020.01011589.914562.2940.199501.239
Table 116. Provided are the values of each of the parameters (as described above) measured in maize accessions (line) under low nitrogen growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 117
Measured parameters in Maize accessions under normal growth conditions
Line/
Corr.
ID12345678910
Line-11.26719.94416.23351.07511.800130.311273.45616.11156.88959.933
Line-21.30020.16717.50046.29011.111122.333260.50014.66757.16160.900
Line-31.33318.11117.72245.91913.278127.667288.00015.44459.27256.892
Line-41.50019.88918.44447.63211.778113.022238.50015.88961.61158.700
Line-51.30019.50015.66751.40711.944135.278286.94416.16758.62858.700
Line-61.58317.72214.66747.42012.33394.278224.83315.16761.22863.158
Line-71.41717.66712.94447.25312.444120.944264.44416.00060.16759.750
Line-81.36717.27814.02846.84612.222107.722251.61114.83361.08962.350
Line-911.38320.50018.77849.27512.556112.500278.44415.38962.20061.925
Line-101.70017.50012.33348.28311.667139.667279.00017.66757.50657.225
Line-110.41719.85616.06741.8379.27860.444163.77814.26752.04449.342
Table 117. Provided are the values of each of the parameters (as described above) measured in maize accessions (line) under normal growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 118
Additional measured parameters in Maize accessions under normal growth conditions
Line/
Corr.
ID11121314151617192018
Line-12.9118.9434.45223.43124.9780.00841335.625456.7070.167426.086
Line-22.6447.0233.62419.05217.8070.00871087.058412.4430.136312.975
Line-32.7117.5334.00820.29320.3320.00891202.532443.3680.150307.277
Line-42.9007.9914.23720.71919.9570.01001271.204438.7050.159362.442
Line-52.7008.4834.01020.48619.0260.00871202.966446.6590.150314.138
Line-62.6225.6323.12415.36013.9040.0106 937.083356.9500.117224.582
Line-72.9226.1003.28616.38316.2340.0094 985.893337.4860.123266.437
Line-82.7226.6593.50017.19117.2140.00911050.131385.7900.131261.664
Line-92.8448.4024.55121.95521.0170.07591365.293481.9420.171482.329
Line-102.6568.2154.08720.99421.5290.00381226.077471.5680.153
Line-112.2561.8791.003 5.725 5.5190.0028 300.928139.7280.038
Table 118. Provided are the values of each of the parameters (as described above) measured in maize accessions (line) under normal growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 119
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under low nitrogen conditions
across maize accession
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY1030.771.56E−02510LBY1030.809.38E−03516
LBY1030.924.29E−0459LBY1030.713.27E−0253
LBY1030.809.37E−0358LBY1030.809.38E−03512
LBY1030.853.33E−0265LBY1030.721.03E−0166
LBY1030.712.18E−02317LBY1030.712.18E−02313
LBY1030.712.18E−02320LBY1030.871.02E−02818
LBY1030.743.46E−0282LBY1030.705.20E−0281
LBY1030.733.86E−02210LBY1030.724.41E−0229
LBY1030.753.05E−0223LBY1030.849.84E−03211
LBY1030.745.68E−02411LBY1040.965.49E−04110
LBY1040.717.37E−02116LBY1040.832.05E−0219
LBY1040.889.55E−0313LBY1040.755.31E−0215
LBY1040.745.97E−02111LBY1040.717.11E−0216
LBY1040.717.37E−02112LBY1040.962.61E−0365
LBY1040.901.48E−0266LBY1040.726.67E−0245
LBY1040.871.02E−0248LBY1040.851.60E−0247
LBY1050.812.73E−02117LBY1050.707.80E−02116
LBY1050.774.13E−0215LBY1050.812.73E−02113
LBY1050.906.26E−03119LBY1050.783.75E−0216
LBY1050.822.43E−02114LBY1050.707.80E−02112
LBY1050.749.58E−02118LBY1050.973.17E−0412
LBY1050.914.16E−0311LBY1050.812.73E−02120
LBY1050.861.40E−02115LBY1050.722.97E−0254
LBY1050.911.29E−0265LBY1050.815.33E−0266
LBY1050.731.58E−02310LBY1050.811.38E−02816
LBY1050.831.11E−0289LBY1050.865.96E−0385
LBY1050.801.70E−0288LBY1050.743.71E−0287
LBY1050.811.52E−0286LBY1050.811.38E−02812
LBY1050.745.58E−02818LBY1050.893.15E−03717
LBY1050.753.33E−0279LBY1050.945.63E−0474
LBY1050.762.87E−0273LBY1050.893.15E−03713
LBY1050.849.72E−03719LBY1050.782.14E−0276
LBY1050.866.76E−03714LBY1050.753.16E−0272
LBY1050.893.15E−03720LBY1050.865.79E−03715
LBY1050.707.97E−02416LBY1050.812.78E−0245
LBY1050.932.02E−0346LBY1050.793.36E−02414
LBY1050.707.97E−02412LBY1060.965.18E−04818
LBY1060.762.73E−0282LBY1070.731.02E−01617
LBY1070.721.08E−0164LBY1070.768.05E−0263
LBY1070.853.20E−0268LBY1070.711.15E−0167
LBY1070.731.02E−01613LBY1070.731.02E−01620
LBY1070.753.21E−02817LBY1070.801.62E−0289
LBY1070.782.29E−0283LBY1070.705.31E−0287
LBY1070.753.21E−02813LBY1070.734.08E−02814
LBY1070.753.21E−02820LBY1070.733.98E−02717
LBY1070.772.47E−0274LBY1070.791.84E−0278
LBY1070.733.98E−02713LBY1070.743.57E−02719
LBY1070.811.39E−0272LBY1070.893.43E−0371
LBY1070.733.98E−02720LBY1070.705.13E−02715
LBY1070.801.78E−0229LBY1070.745.79E−0249
LBY1070.736.09E−0244LBY1070.812.70E−0247
LBY1080.802.97E−0244LBY1080.923.40E−0346
LBY1090.707.92E−0218LBY1090.831.97E−02111
LBY1090.745.94E−0246LBY1100.774.48E−0218
LBY1100.731.62E−0238LBY1100.724.38E−02711
LBY1100.791.95E−0229LBY1100.866.62E−0328
LBY1100.745.53E−0249LBY1110.872.44E−02118
LBY1110.711.16E−01610LBY1110.786.66E−0265
LBY1110.721.08E−0166LBY1110.743.55E−0281
LBY1110.753.35E−0228LBY1120.707.69E−0219
LBY1120.812.70E−0213LBY1120.822.35E−0215
LBY1120.774.24E−0216LBY1120.701.19E−0163
LBY1130.888.41E−03110LBY1140.739.84E−02118
LBY1140.764.76E−0211LBY1140.752.08E−02510
LBY1140.761.64E−02516LBY1140.771.55E−0254
LBY1140.713.18E−0256LBY1140.761.64E−02512
LBY1140.761.65E−0252LBY1140.703.57E−0251
LBY1140.834.29E−0265LBY1140.739.64E−0266
LBY1140.743.48E−02810LBY1140.822.37E−0245
LBY1160.796.12E−0265LBY1160.755.31E−02818
LBY1160.889.23E−03417LBY1160.802.97E−0243
LBY1160.889.84E−0345LBY1160.889.23E−03413
LBY1160.755.01E−0246LBY1160.905.51E−03414
LBY1160.861.23E−02418LBY1160.889.23E−03420
LBY1160.841.71E−02415LBY1170.774.09E−02110
LBY1170.906.40E−03111LBY1170.818.68E−03517
LBY1170.817.98E−03510LBY1170.752.07E−02516
LBY1170.781.35E−0253LBY1170.818.68E−03513
LBY1170.791.05E−02514LBY1170.752.07E−02512
LBY1170.714.81E−02518LBY1170.818.68E−03520
LBY1170.781.33E−02515LBY1180.812.74E−02110
LBY1180.717.65E−0215LBY1180.834.19E−0261
LBY1190.812.69E−02110LBY1190.755.24E−02116
LBY1190.803.20E−0219LBY1190.717.15E−0214
LBY1190.803.12E−0213LBY1190.755.46E−0215
LBY1190.745.86E−0217LBY1190.726.95E−0216
LBY1190.755.24E−02112LBY1200.851.55E−02111
LBY1200.862.91E−0265LBY1200.782.33E−0285
LBY1200.841.89E−02718LBY1200.871.08E−0248
LBY1210.932.68E−03117LBY1210.897.74E−03116
LBY1210.745.51E−0219LBY1210.783.72E−0214
LBY1210.841.89E−0213LBY1210.783.83E−0215
LBY1210.717.14E−0217LBY1210.932.68E−03113
LBY1210.851.44E−02119LBY1210.717.49E−0216
LBY1210.906.39E−03114LBY1210.897.74E−03112
LBY1210.707.74E−0212LBY1210.871.15E−0211
LBY1210.932.68E−03120LBY1210.915.00E−03115
LBY1210.742.32E−0254LBY1210.721.04E−01610
LBY1210.901.55E−0265LBY1210.862.81E−0266
LBY1210.705.28E−02711LBY1210.705.29E−0229
LBY1210.755.30E−0249LBY1210.726.88E−0245
LBY1220.901.39E−02118LBY1220.783.69E−0212
LBY1220.783.81E−0211LBY1220.724.41E−0286
LBY1230.745.70E−02117LBY1230.764.76E−0214
LBY1230.803.26E−0215LBY1230.745.70E−02113
LBY1230.832.16E−02119LBY1230.841.74E−0216
LBY1230.774.33E−02114LBY1230.701.20E−01118
LBY1230.736.17E−0212LBY1230.803.01E−0211
LBY1230.745.70E−02120LBY1230.745.67E−02115
LBY1230.793.33E−0246LBY130.707.91E−02110
LBY130.726.86E−0213LBY130.755.46E−0215
LBY130.844.63E−03516LBY130.809.98E−0355
LBY130.844.63E−03512LBY130.805.81E−0265
LBY130.772.51E−02816LBY130.782.36E−0285
LBY130.772.51E−02812LBY130.714.65E−02216
LBY130.714.65E−02212LBY2330.872.31E−0264
LBY2330.721.09E−0166LBY2330.803.06E−02218
LBY2330.871.07E−0249LBY50.711.11E−01118
LBY50.761.69E−02510LBY50.791.08E−0253
LBY50.872.56E−02610LBY50.946.07E−0363
LBY50.761.11E−02310LBY50.893.02E−03816
LBY50.724.53E−0285LBY50.893.02E−03812
LBY50.782.36E−02716LBY50.865.74E−0379
LBY50.856.96E−0378LBY50.772.49E−0277
LBY50.782.36E−02712LBY60.901.35E−0269
LBY60.726.74E−02818LBY60.803.16E−02218
LBY60.848.43E−0322LBY60.714.77E−0221
LGN170.755.26E−0214LGN170.726.62E−02119
LGN170.793.65E−0212LGN170.707.78E−02115
LGN170.751.34E−0235LGN170.832.75E−0331
LGN180.822.48E−0218LGN180.731.03E−01617
LGN180.731.03E−01613LGN180.777.38E−02618
LGN180.786.48E−0261LGN180.731.03E−01620
LGN180.743.59E−02811LGN180.724.32E−0274
LGN180.762.73E−0272LGN180.753.32E−0271
LGN180.812.81E−02411LGN200.764.59E−0215
LGN200.764.88E−02119LGN200.745.47E−0212
LGN200.831.98E−0211LGN200.707.84E−02115
LGN200.732.51E−02511LGN200.758.85E−0261
LGN200.902.30E−0384LGN200.821.34E−0285
LGN200.911.50E−0386LGN200.743.48E−02717
LGN200.782.31E−0273LGN200.705.11E−0275
LGN200.743.48E−02713LGN200.743.44E−02719
LGN200.733.83E−02714LGN200.734.14E−0272
LGN200.865.55E−0371LGN200.743.48E−02720
LGN200.753.13E−02715LGN200.783.79E−0243
LGN230.815.02E−02616LGN230.815.02E−02612
LGN230.923.11E−03818LGN230.905.96E−03718
LGN230.745.74E−0247LGN240.922.90E−0345
LGN240.793.56E−0246LGN260.991.68E−04118
LGN260.783.69E−02417LGN260.783.69E−02413
LGN260.888.52E−03419LGN260.727.03E−0246
LGN260.871.11E−02414LGN260.793.36E−02418
LGN260.851.45E−0242LGN260.793.37E−0241
LGN260.783.69E−02420LGN260.888.31E−03415
LGN330.911.27E−0265LGN330.739.89E−0266
LGN330.911.93E−0385LGN330.831.08E−0286
LGN330.849.65E−0375LGN340.941.42E−03117
LGN340.764.79E−02110LGN340.871.11E−02116
LGN340.831.94E−0219LGN340.841.94E−0214
LGN340.941.72E−0313LGN340.973.64E−0415
LGN340.941.80E−0318LGN340.941.42E−03113
LGN340.941.58E−03119LGN340.941.98E−0316
LGN340.951.16E−03114LGN340.871.11E−02112
LGN340.726.72E−0212LGN340.841.73E−0211
LGN340.941.42E−03120LGN340.932.14E−03115
LGN340.781.33E−02516LGN340.771.62E−0259
LGN340.781.33E−02512LGN340.752.09E−0251
LGN340.861.47E−03317LGN340.796.21E−03316
LGN340.796.29E−0339LGN340.814.15E−0338
LGN340.861.47E−03313LGN340.871.15E−03319
LGN340.751.33E−02311LGN340.814.89E−03314
LGN340.796.21E−03312LGN340.779.35E−0332
LGN340.787.88E−0331LGN340.861.47E−03320
LGN340.842.58E−03315LGN340.705.09E−02811
LGN340.753.06E−0278LGN340.792.08E−0277
LGN340.763.00E−0272LGN340.743.43E−0271
LGN340.911.70E−03210LGN340.939.01E−04216
LGN340.911.73E−0329LGN340.714.74E−0224
LGN340.811.51E−0223LGN340.902.66E−0325
LGN340.772.58E−0226LGN340.939.01E−04212
LGN340.707.84E−02417LGN340.707.84E−02413
LGN340.832.13E−02419LGN340.871.06E−0242
LGN340.841.86E−0241LGN340.707.84E−02420
LGN350.764.54E−02111LGN350.739.65E−02610
LGN350.882.20E−0263LGN350.937.85E−0365
LGN350.731.02E−0166LGN350.755.38E−0245
LGN350.861.29E−0241LGN360.805.60E−02617
LGN360.805.60E−02613LGN360.853.21E−02619
LGN360.901.55E−0266LGN360.901.32E−02614
LGN360.796.42E−02618LGN360.843.47E−0262
LGN360.805.60E−02620LGN360.901.49E−02615
LGN360.707.74E−0244LGN360.906.28E−0348
LGN360.717.47E−0246LGN390.736.51E−02119
LGN390.786.87E−02118LGN390.871.06E−0212
LGN390.889.78E−0311LGN390.843.85E−02619
LGN390.786.56E−02618LGN390.758.58E−0262
LGN390.739.65E−0261LGN390.768.15E−02615
LGN390.734.04E−0284LGN390.772.63E−02711
LGN390.875.35E−03210LGN390.831.16E−02216
LGN390.865.63E−0325LGN390.733.89E−0226
LGN390.831.16E−02212LGN390.832.01E−0245
LGN390.707.99E−02419LGN490.812.66E−02117
LGN490.774.42E−02110LGN490.717.31E−02116
LGN490.803.26E−0214LGN490.897.61E−0313
LGN490.951.20E−0315LGN490.812.66E−02113
LGN490.755.30E−02119LGN490.923.41E−0316
LGN490.871.07E−02114LGN490.717.31E−02112
LGN490.812.81E−0211LGN490.812.66E−02120
LGN490.822.44E−02115LGN490.886.75E−04310
LGN490.751.23E−02316LGN490.751.23E−02312
LGN490.911.95E−03711LGN490.841.94E−02411
LGN610.793.41E−0214LGN610.707.75E−0216
LGN610.772.47E−02216LGN610.705.12E−0224
LGN610.792.00E−0225LGN610.772.47E−02212
Table 119. Correlations (R) between the genes expression levels in various tissues and the phenotypic performance under low nitrogen conditions. “Corr. ID” = correlation set ID according to the correlated parameters Table 113 above. “Exp. Set” = Expression set (According to Table 111). “R” = Pearson correlation coefficient; “P” = p value.
TABLE 120
Correlation between the expression level of selected genes of some
embodiments of the invention in various tissues and the phenotypic
performance under normal conditions across maize accessions
GeneP Exp.Corr.GeneP Exp.Corr.
NameRvaluesetSet IDNameRvaluesetSet ID
LBY1030.753.25E-02212LBY1030.883.76E−0324
LBY1040.861.35E−0217LBY1040.774.18E−02112
LBY1040.717.30E−02111LBY1040.736.09E−0215
LBY1040.803.01E−02114LBY1040.764.77E−02113
LBY1040.783.95E−02115LBY1040.905.25E−03110
LBY1040.905.22E−0316LBY1040.764.77E−02117
LBY1040.764.77E−02120LBY1040.793.53E−0219
LBY1040.822.51E−02119LBY1040.805.74E−02511
LBY1040.805.36E−0256LBY1040.937.49E−0358
LBY1040.724.61E−02213LBY1040.724.61E−02217
LBY1040.724.61E−02220LBY1040.714.78E−02219
LBY1040.853.11E−02418LBY1040.811.52E−0235
LBY1040.749.02E−02618LBY1050.755.16E−02111
LBY1050.736.14E−0215LBY1050.803.00E−0218
LBY1050.717.13E−0219LBY1050.954.44E−0355
LBY1050.865.88E−0325LBY1050.714.69E−0237
LBY1050.841.88E−0267LBY1050.717.13E−02612
LBY1050.774.35E−0265LBY1050.755.00E−02614
LBY1050.717.46E−02613LBY1050.774.48E−02615
LBY1050.861.39E−0266LBY1050.717.46E−02617
LBY1050.717.46E−02620LBY1050.745.63E−02619
LBY1050.703.50E−0277LBY1050.809.87E−03712
LBY1050.722.83E−0275LBY1050.818.79E−03714
LBY1050.752.05E−02713LBY1050.872.08E−03715
LBY1050.722.72E−0276LBY1050.752.05E−02717
LBY1050.752.05E−02720LBY1050.722.78E−02719
LBY1050.791.06E−0272LBY1060.862.92E−0255
LBY1060.721.07E−01418LBY1070.881.98E−02118
LBY1070.862.81E−02510LBY1070.928.90E−0359
LBY1070.721.99E−02812LBY1070.751.23E−02814
LBY1070.761.11E−02813LBY1070.761.11E−02817
LBY1070.761.11E−02820LBY1070.751.25E−02819
LBY1070.941.42E−03410LBY1070.724.29E−02310
LBY1070.717.42E−0267LBY1070.774.20E−0264
LBY1070.812.80E−02610LBY1070.755.42E−0266
LBY1070.745.66E−0268LBY1070.717.22E−02619
LBY1080.853.24E−0255LBY1080.921.42E−03216
LBY1080.921.42E−0321LBY1090.853.02E−0258
LBY1090.724.52E−02211LBY1100.786.65E−02510
LBY1100.714.64E−02212LBY1100.938.42E−0424
LBY1100.783.86E−02412LBY1100.755.19E−02416
LBY1100.851.62E−02411LBY1100.755.06E−02414
LBY1100.803.23E−02413LBY1100.783.75E−0244
LBY1100.764.88E−02415LBY1100.803.23E−02417
LBY1100.774.13E−0248LBY1100.803.23E−02420
LBY1100.755.19E−0241LBY1100.736.05E−0249
LBY1100.891.79E−02418LBY1100.745.65E−02419
LBY1100.781.38E−02710LBY1110.862.79E−02516
LBY1110.862.79E−0251LBY1110.901.32E−0259
LBY1110.745.85E−0242LBY1120.764.86E−0215
LBY1120.736.41E−0214LBY1120.871.08E−02110
LBY1120.717.51E−0216LBY1120.783.70E−0219
LBY1120.736.40E−02119LBY1120.749.50E−02511
LBY1120.834.09E−0258LBY1120.724.34E−0225
LBY1120.783.91E−02612LBY1120.774.31E−02611
LBY1120.803.20E−02614LBY1120.793.46E−02613
LBY1120.717.54E−0264LBY1120.755.11E−02615
LBY1120.793.46E−02617LBY1120.851.59E−0268
LBY1120.793.46E−02620LBY1120.783.83E−02619
LBY1130.851.51E−02110LBY1130.834.24E−02511
LBY1130.953.52E−0358LBY1130.811.48E−02212
LBY1130.921.08E−0324LBY1130.724.45E−0228
LBY1140.911.16E−0255LBY1140.831.15E−02216
LBY1140.831.15E−0221LBY1140.726.98E−0266
LBY1150.911.29E−0255LBY1150.714.64E−0225
LBY1160.937.12E−0358LBY1160.753.34E−02311
LBY1160.822.24E−0262LBY1170.861.34E−02110
LBY1170.805.39E−0255LBY1170.862.87E−0256
LBY1170.796.30E−0258LBY1170.753.07E−02216
LBY1170.753.07E−0221LBY1170.714.98E−0229
LBY1180.727.00E−0216LBY1180.701.18E−0158
LBY1180.724.54E−0224LBY1190.736.00E−0217
LBY1190.764.66E−02112LBY1190.774.14E−02114
LBY1190.764.94E−02113LBY1190.784.01E−0214
LBY1190.736.08E−02115LBY1190.932.78E−03110
LBY1190.793.44E−0216LBY1190.764.94E−02117
LBY1190.764.94E−02120LBY1190.726.77E−0219
LBY1190.803.17E−02119LBY1190.739.89E−02511
LBY1190.834.24E−0258LBY1210.802.99E−0217
LBY1210.861.28E−02112LBY1210.897.02E−03111
LBY1210.717.45E−0215LBY1210.851.66E−02114
LBY1210.861.39E−02113LBY1210.871.14E−02115
LBY1210.783.74E−02110LBY1210.841.67E−0216
LBY1210.861.39E−02117LBY1210.861.38E−0218
LBY1210.861.39E−02120LBY1210.739.72E−02118
LBY1210.812.66E−02119LBY1210.767.70E−02516
LBY1210.711.15E−0158LBY1210.767.70E−0251
LBY1210.971.37E−0359LBY1210.911.69E−0324
LBY1210.822.53E−0247LBY1210.745.68E−02412
LBY1210.736.20E−02414LBY1210.717.30E−02413
LBY1210.764.68E−02415LBY1210.774.09E−0246
LBY1210.717.30E−02417LBY1210.717.30E−02420
LBY1210.736.27E−02419LBY1220.711.10E−0155
LBY1230.736.37E−0217LBY1230.717.26E−02112
LBY1230.803.01E−0215LBY1230.736.44E−02114
LBY1230.736.01E−02113LBY1230.745.82E−02115
LBY1230.736.34E−0213LBY1230.736.01E−02117
LBY1230.774.40E−0218LBY1230.736.01E−02120
LBY1230.726.63E−02119LBY1230.753.09E−02211
LBY1230.857.42E−0324LBY1230.753.14E−0228
LBY1230.996.95E−09816LBY1230.996.95E−0981
LBY1230.723.03E−02818LBY1230.905.18E−0368
LBY1230.817.80E−0377LBY1230.732.45E−0276
LBY1230.713.19E−02719LBY130.758.76E−0254
LBY130.724.33E−02212LBY130.801.67E−0224
LBY130.714.95E−02215LBY130.763.03E−02218
LBY2330.786.46E−0255LBY50.755.37E−0245
LBY60.717.39E−02111LBY60.717.28E−0218
LBY60.811.49E−0225LBY60.959.24E−04416
LBY60.959.24E−0441LBY60.834.31E−02418
LBY60.896.72E−03616LBY60.896.72E−0361
LBY60.853.03E−02618LGN170.712.02E−0283
LGN170.741.35E−0282LGN170.753.12E−02316
LGN170.753.12E−0231LGN170.736.02E−0267
LGN170.707.71E−0263LGN170.745.73E−0266
LGN200.701.19E−01512LGN200.711.17E−01513
LGN200.833.97E−0254LGN200.711.17E−01517
LGN200.711.17E−01520LGN200.815.18E−02519
LGN200.811.48E−02216LGN200.705.09E−02210
LGN200.811.48E−0221LGN200.734.01E−0229
LGN200.736.45E−0246LGN200.762.94E−0232
LGN200.841.85E−0263LGN200.796.32E−02618
LGN200.793.44E−0262LGN200.791.07E−02712
LGN200.761.66E−02714LGN200.713.15E−02713
LGN200.791.10E−0274LGN200.817.58E−03715
LGN200.722.79E−0276LGN200.713.15E−02717
LGN200.713.15E−02720LGN230.767.90E−02118
LGN230.707.80E−0212LGN230.954.30E−0355
LGN240.777.61E−02418LGN260.875.49E−03212
LGN260.791.99E−02214LGN260.782.28E−02213
LGN260.902.39E−0324LGN260.782.33E−02215
LGN260.705.20E−0226LGN260.782.28E−02217
LGN260.831.00E−0228LGN260.782.28E−02220
LGN260.762.73E−02218LGN260.861.21E−02616
LGN260.861.21E−0261LGN260.805.36E−02618
LGN330.831.06E−02210LGN330.726.57E−0248
LGN340.932.19E−0317LGN340.932.40E−03112
LGN340.871.19E−02111LGN340.932.53E−0315
LGN340.951.28E−03114LGN340.941.59E−03113
LGN340.932.60E−0314LGN340.941.80E−03115
LGN340.871.11E−02110LGN340.905.48E−0316
LGN340.941.59E−03117LGN340.784.07E−0218
LGN340.941.59E−03120LGN340.905.43E−0319
LGN340.967.23E−04119LGN340.724.41E−02212
LGN340.975.99E−0524LGN340.932.18E−03416
LGN340.932.18E−0341LGN340.767.81E−02418
LGN340.753.27E−02311LGN340.791.88E−02310
LGN340.923.33E−0367LGN340.923.51E−03612
LGN340.832.22E−02611LGN340.822.33E−0265
LGN340.932.12E−03614LGN340.923.53E−03613
LGN340.861.40E−0264LGN340.914.76E−03615
LGN340.841.71E−02610LGN340.923.31E−0366
LGN340.923.53E−03617LGN340.803.26E−0268
LGN340.923.53E−03620LGN340.783.69E−0269
LGN340.951.07E−03619LGN340.826.64E−0377
LGN340.891.15E−03712LGN340.844.23E−03711
LGN340.751.87E−0275LGN340.891.31E−03714
LGN340.901.00E−03713LGN340.826.32E−0374
LGN340.863.21E−03715LGN340.809.97E−03710
LGN340.752.00E−0276LGN340.901.00E−03717
LGN340.901.00E−03720LGN340.732.62E−0279
LGN340.932.40E−04719LGN350.815.27E−02118
LGN350.971.69E−0355LGN350.945.78E−04718
LGN350.836.16E−0372LGN360.722.00E−02816
LGN360.722.00E−0281LGN390.841.69E−0213
LGN390.767.95E−02118LGN390.786.69E−02510
LGN390.724.50E−02212LGN390.801.82E−0224
LGN390.792.04E−0226LGN390.733.82E−0222
LGN390.783.73E−0247LGN390.717.21E−02412
LGN390.745.61E−02414LGN390.717.67E−02415
LGN390.764.64E−02410LGN390.841.68E−0246
LGN390.764.88E−02419LGN390.724.28E−0232
LGN390.745.69E−0267LGN390.755.24E−02612
LGN390.932.44E−03616LGN390.727.03E−0265
LGN390.774.43E−02614LGN390.783.97E−02613
LGN390.871.08E−0264LGN390.727.06E−02615
LGN390.923.65E−03610LGN390.783.97E−02617
LGN390.783.97E−02620LGN390.932.44E−0361
LGN390.736.20E−0269LGN390.768.17E−02618
LGN390.803.04E−02619LGN390.714.78E−02718
LGN490.767.74E−02511LGN490.749.43E−0254
LGN490.749.55E−0258LGN490.753.05E−02212
LGN490.724.59E−02214LGN490.911.95E−0324
LGN490.734.12E−02215LGN490.832.00E−0265
Table 120. Correlations (R) between the genes expression levels in various tissues and the phenotypic performance under normal conditions; “Corr. ID” = correlation set ID according to the correlated parameters described in Table 114 above. “Exp. Set” = Expression set as described in Table 112 above. “R” = Pearson correlation coefficient; “P” = p value.

In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a brachypodium oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 60K brachypodium genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 24 different brachypodium accessions were analyzed. Among them, 22 accessions encompassing the observed variance were selected for RNA expression analysis and comparative genomic hybridization (CGH) analysis.

The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Additional correlation analysis was done by comparing plant phenotype and gene copy number. The correlation between the normalized copy number hybridization signal and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Analyzed Brachypodium tissues—two tissues [leaf and spike] were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 121 below.

TABLE 121
Brachypodium transcriptome expression sets
Expression SetSet ID
Leaf at flowering stage under normal growth conditions1
Spike at flowering stage under normal growth conditions2
Table 121. Provided are the brachypodium transcriptome expression sets under normal conditions.

Brachypodium Yield Components and Vigor Related Parameters Assessment—

24 brachypodium accessions were grown in 4-6 repetitive plots (8 plants per plot) in a green house. The growing protocol was as follows: brachypodium seeds were sown in plots and grown under normal condition (6 mM of Nitrogen as ammonium nitrate). Plants were continuously phenotyped during the growth period and at harvest (Table 123-124, below). The image analysis system include d a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

At the end of the growing period the grains were separated from the spikes and the following parameters were measured using digital imaging system and collected:

Number of tillering—all tillers were counted per plant at harvest (mean per plot).

Head number—At the end of the experiment, heads were harvested from each plot and were counted.

Total Grains weight per plot (gr.)—At the end of the experiment (plant ‘Heads’) heads from plots were collected, the heads were threshed and grains were weighted. In addition, the average grain weight per head was calculated by dividing the total grain weight by number of total heads per plot (based on plot).

Highest number of spikelets—The highest spikelet number per head was calculated per plant (mean per plot).

Mean number of spikelets—The mean spikelet number per head was calculated per plot.

Plant height—Each of the plants was measured for its height using measuring tape. Height was measured from ground level to spike base of the longest spike at harvest.

Vegetative dry weight and spike yield—At the end of the experiment (50% of the spikes were dry) all spikes and vegetative material from plots were collected. The biomass and spikes weight of each plot was separated, measured and divided by the number of plants/plots.

Dry weight—total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours;

Spike yield per plant=total spike weight per plant (gr) after drying at 30° C. in oven for 48 hours.

Spikelets weight (gr.)—The biomass and spikes weight of each plot was separated and measured per plot.

Average head weight—calculated by dividing spikelets weight with head number (gr.).

Harvest Index—The harvest index was calculated using Formula XV (described above).

Spikelets Index—The Spikelets index is calculated using Formula XXXI above.

Percent Number of heads with spikelets—The number of heads with more than one spikelet per plant were counted and the percent from all heads per plant was calculated.

Total dry mater per plot—Calculated as Vegetative portion above ground plus all the spikelet dry weight per plot.

1000 grain weight—At the end of the experiment all grains from all plots were collected and weighted and the weight of 1000 grains was calculated.

The following parameters were collected using digital imaging system:

At the end of the growing period the grains were separated from the spikes and the following parameters were measured and collected:

(i) Average Grain Area (cm2)—A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

(ii) Average Grain Length, perimeter and width (cm)—A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths and width (longest axis) was measured from those images and was divided by the number of grains.

The image processing system that was used consisted of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

TABLE 122
Brachypodium correlated parameters (vectors)
Correlated parameter withCorrelation ID
1000 grain weight [gr.]1
Average head weight [gr.]2
Grain Perimeter [mm]3
Grain area [mm2]4
Grain length [mm]5
Grain width [mm]6
Grains weight per plant [gr.]7
Grains weight per plot [gr.]8
Harvest index9
Heads per plant [number]10
Heads per plot [number]11
Highest number of spikelets per plot [number]12
Mean number of spikelets per plot [number]13
Num of heads with spikelets per plant [number]14
Percent Number of heads with spikelets [%]15
Plant Vegetative DW [gr]16
Plant height [cm]17
Plants number [number]18
Spikelets DW per plant [gr]19
Spikelets weight [gr]20
Spikes index [gr]21
Tillering [number]22
Total dry mater per plant [gr]23
Total dry mater per plot [gr]24
Vegetative DW [gr]25
Table 122. Provided are the Brachypodium correlated parameters.

24 different Brachypodium accessions were grown and characterized for different parameters as described above. The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 123-125 below. Subsequent correlation analysis between the various transcriptome sets and the average parameters (Table 126) was conducted. Follow, results were integrated to the database.

TABLE 123
Measured parameters of correlation IDs in Brachypodium
accessions under normal conditions
Line/
Corr.
ID12345678
Line-13.7480.05691.6720.10250.73300.17770.13991.051
Line-23.7750.04361.6150.09550.71950.16790.05550.444
Line-33.3450.04951.6240.09440.71700.16700.07680.614
Line-44.8850.07491.6860.09450.74000.16190.25521.960
Line-55.5400.04021.8200.10520.83290.16110.14031.110
Line-64.9830.05581.8290.11150.82370.17220.13981.072
Line-74.8270.04751.7450.10250.78130.16640.13831.089
Line-85.5350.04161.9310.10950.89610.15540.10500.840
Line-93.8420.07801.6830.10080.74760.17150.07670.498
Line-104.7610.05521.8190.11140.78880.18010.06580.387
Line-114.7300.04781.6900.09960.74810.16930.39273.070
Line-125.2390.05291.9100.12440.85680.18500.13611.089
Line-134.9640.05741.7060.10050.74370.17150.12571.066
Line-144.0040.10371.8060.09630.83950.14570.37422.993
Line-154.2570.07891.7550.08990.80180.14260.49373.522
Line-165.9910.08191.8660.11730.84210.17720.31172.406
Line-174.3360.06381.6640.09130.73570.15750.20271.468
Line-183.7000.08721.6460.08840.74970.14940.34782.583
Line-193.9040.04041.6020.08620.72400.15100.26882.035
Line-204.8230.05961.7950.10470.79410.16820.32262.581
Line-214.8730.08671.9030.11320.87120.16490.43613.403
Line-223.7580.09011.6830.09160.76380.15150.30321.919
Table 123. Correlation IDs: 1, 2, 3, 4, 5, . . . etc. refer to those described in Table 122 above [Brachypodium correlated parameters (vectors)].
TABLE 124
Measured parameters of correlation IDs in brachypodium
accessions under normal conditions
Line/
Corr.
ID910111213141516
Line-10.130816.29121.753.0002.1035.27227.610.4159
Line-20.14017.0856.602.6002.1002.50035.330.1188
Line-30.14836.5952.753.0001.7192.06321.670.1328
Line-40.204911.6383.402.2001.6922.08314.000.3758
Line-50.199110.4882.402.0001.3820.7075.420.3228
Line-60.15769.0970.132.2501.6451.94015.420.3244
Line-70.135514.13110.331.8331.4261.0806.400.3895
Line-80.25525.8847.002.0001.2500.3504.510.1250
Line-90.066811.8981.503.5002.4117.59455.410.4375
Line-100.10638.0248.602.0001.5631.86816.510.3084
Line-110.216323.75185.502.5001.7634.98215.520.8713
Line-120.088816.06125.002.4001.8253.70020.340.6933
Line-130.17539.7480.752.0001.4240.8898.110.3438
Line-140.093422.19177.503.5002.70812.58353.211.7244
Line-150.157724.32172.803.8002.60712.13047.811.3159
Line-160.180613.2598.602.8002.1216.35042.810.4779
Line-170.111819.22143.172.8332.1557.14634.920.6278
Line-180.210816.11123.502.8332.1749.44052.400.8175
Line-190.171421.40156.832.3331.8505.01620.840.6747
Line-200.149225.88207.002.6001.9254.90017.550.8700
Line-210.180717.05135.004.5002.8547.71947.731.0473
Line-220.087925.54177.003.1672.79015.35559.011.7313
Table 124. Correlation IDs: 1, 2, 3, 4, 5, . . . etc. refer to those described in Table 122 above [Brachypodium correlated parameters (vectors)].
TABLE 125
Measured parameters of correlation IDs in brachypodium
accessions under normal conditions
Line/
Corr.
ID171819202122232425
Line-131.657.5000.96057.1800.706116.841.37610.263.078
Line-223.448.0000.31232.4980.72367.200.4313.450.950
Line-322.758.0000.33442.6750.72767.000.4673.741.063
Line-431.957.2000.87586.4240.706011.971.2529.122.692
Line-534.367.8000.43723.4520.575910.670.7606.002.546
Line-628.657.7500.55874.2930.65739.380.8836.782.483
Line-728.887.8330.67415.2900.635914.581.0648.343.053
Line-824.748.0000.25552.0440.65776.350.3813.041.000
Line-931.406.5000.92246.2500.686912.381.3609.212.960
Line-1029.156.4000.44962.6580.60468.600.7584.471.814
Line-1137.307.7501.13708.8930.589625.502.00815.796.893
Line-1245.098.0000.83186.6540.542916.561.52512.205.546
Line-1322.398.2500.59104.9150.677610.530.9357.762.843
Line-1455.048.0002.268518.1480.562827.153.99331.9413.795
Line-1545.347.0001.911313.4940.593126.303.22722.789.284
Line-1640.207.6001.09168.3460.698113.561.57012.043.696
Line-1739.187.3331.25919.4180.662320.791.88714.144.718
Line-1845.357.5001.464011.3120.682916.992.28217.786.468
Line-1929.417.3330.95607.1620.600423.611.63112.295.130
Line-2038.398.0001.555512.4440.646527.202.42619.406.960
Line-2146.747.8751.418211.0460.574918.252.46619.278.228
Line-2258.826.8332.252315.5480.568629.093.98427.6712.117
Table 125. Correlation IDs: 1, 2, 3, 4, 5, . . . etc. refer to those described in Table 122 above [Brachypodium correlated parameters (vectors)].
TABLE 126
Correlation between the expression level of
selected genes of some embodiments of the
invention in various tissues and the phenotypic performance
under normal conditions across brachypodium varieties
GeneP Exp.Corr.GeneP Exp.Corr.
NameRvaluesetSet IDNameRvaluesetSet ID
LBY370.731.68E−022 7LBY370.712.26E−022 8
LBY370.867.69E−04111LBY370.883.85E−04122
LBY370.821.84E−03124LBY370.859.14E−04119
LBY370.784.41E−03112LBY370.822.06E−03125
LBY370.757.35E−03115LBY370.859.29E−04116
LBY370.866.29E−04114LBY370.822.22E−03120
LBY370.858.20E−04113LBY370.749.92E−03117
LBY370.874.88E−04110LBY370.867.61E−04123
Table 126. Provided are the correlations (R) between the expression levels yield improving genes and their hom*ologs in various tissues [Expression (Exp) sets, Table 121] and the phenotypic performance [yield, biomass, growth rate and/or vigor components as described in Tables 123-125 using the Correlation vectors (Con.) described in Table 122] under normal conditions across brachypodium varieties. P = p value.

In order to produce a high throughput correlation analysis, the present inventors utilized a Soybean oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 42,000 Soybean genes and transcripts. In order to define correlations between the levels of RNA expression with yield components or plant architecture related parameters or plant vigor related parameters, various plant characteristics of 29 different Glycine max varieties were analyzed and 26 varieties were further used for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test.

Correlation of Glycine max Genes' Expression Levels with Phenotypic Characteristics Across Ecotype

29 Soybean varieties were grown in three repetitive plots in field. Briefly, the growing protocol was as follows: Soybean seeds were sown in soil and grown under normal conditions (no irrigation, good organomic particles) which included high temperature about 82.38 (° F.), low temperature about 58.54 (° F.); total precipitation rainfall from May through September (from sowing until harvest) was about 16.97 inch.

In order to define correlations between the levels of RNA expression with yield components or plant architecture related parameters or vigor related parameters, 26 different Soybean varieties (out of 29 varieties) were analyzed and used for gene expression analyses. Analysis was performed at two pre-determined time periods: at pod set (when the soybean pods are formed) and at harvest time (when the soybean pods are ready for harvest, with mature seeds).

TABLE 127
Soybean transcriptome expression sets
Expression SetSet ID
Apical meristem at vegetative stage under normal 1
growth condition
Leaf at vegetative stage under normal growth condition2
Leaf at flowering stage under normal growth condition3
Leaf at pod setting stage under normal growth condition4
Root at vegetative stage under normal growth condition5
Root at flowering stage under normal growth condition6
Root at pod setting stage under normal growth condition7
Stem at vegetative stage under normal growth condition8
Stem at pod setting stage under normal growth condition9
Flower bud at flowering stage under normal growth condition10
Pod (R3-R4) at pod setting stage under normal growth condition11
Table 127.

RNA extraction—All 12 selected Soybean varieties were sample per treatment. Plant tissues [leaf, root, Stem, Pod, apical meristem, Flower buds] growing under normal conditions were sampled and RNA was extracted as described above. The collected data parameters were as follows:

Main branch base diameter [mm] at pod set—the diameter of the base of the main branch (based diameter) average of three plants per plot.

Fresh weight [gr./plant] at pod set]—total weight of the vegetative portion above ground (excluding roots) before drying at pod set, average of three plants per plot.

Dry weight [gr./plant] at pod set—total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours at pod set, average of three plants per plot.

Total number of nodes with pods on lateral branches [value/plant]—counting of nodes which contain pods in lateral branches at pod set, average of three plants per plot.

Number of lateral branches at pod set [value/plant]—counting number of lateral branches at pod set, average of three plants per plot.

Total weight of lateral branches at pod set [gr./plant]—weight of all lateral branches at pod set, average of three plants per plot.

Total weight of pods on main stem at pod set [gr./plant]—weight of all pods on main stem at pod set, average of three plants per plot.

Total number of nodes on main stem [value/plant]—count of number of nodes on main stem starting from first node above ground, average of three plants per plot.

Total number of pods with 1 seed on lateral branches at pod set [value/plant]—count of the number of pods containing 1 seed in all lateral branches at pod set, average of three plants per plot.

Total number of pods with 2 seeds on lateral branches at pod set [value/plant]—count of the number of pods containing 2 seeds in all lateral branches at pod set, average of three plants per plot.

Total number of pods with 3 seeds on lateral branches at pod set [value/plant]—count of the number of pods containing 3 seeds in all lateral branches at pod set, average of three plants per plot.

Total number of pods with 4 seeds on lateral branches at pod set [value/plant]—count of the number of pods containing 4 seeds in all lateral branches at pod set, average of three plants per plot.

Total number of pods with 1 seed on main stem at pod set [value/plant]—count of the number of pods containing 1 seed in main stem at pod set, average of three plants per plot.

Total number of pods with 2 seeds on main stem at pod set [value/plant]—count of the number of pods containing 2 seeds in main stem at pod set, average of three plants per plot.

Total number of pods with 3 seeds on main stem at pod set [value/plant]—count of the number of pods containing 3 seeds in main stem at pod set, average of three plants per plot.

Total number of pods with 4 seeds on main stem at pod set [value/plant]—count of the number of pods containing 4 seeds in main stem at pod set, average of three plants per plot.

Total number of seeds per plant at pod set [value/plant]—count of number of seeds in lateral branches and main stem at pod set, average of three plants per plot.

Total number of seeds on lateral branches at pod set [value/plant]—count of total number of seeds on lateral branches at pod set, average of three plants per plot.

Total number of seeds on main stem at pod set [value/plant]—count of total number of seeds on main stem at pod set, average of three plants per plot.

Plant height at pod set [cm/plant]—total length from above ground till the tip of the main stem at pod set, average of three plants per plot.

Plant height at harvest [cm/plant]—total length from above ground till the tip of the main stem at harvest, average of three plants per plot.

Total weight of pods on lateral branches at pod set [gr./plant]—weight of all pods on lateral branches at pod set, average of three plants per plot.

Ratio of the number of pods per node on main stem at pod set—calculated in Formula XXIII (above), average of three plants per plot.

Ratio of total number of seeds in main stem to number of seeds on lateral branches—calculated in Formula XXIV above, average of three plants per plot.

Total weight of pods per plant at pod set [gr./plant]—weight of all pods on lateral branches and main stem at pod set, average of three plants per plot.

Days till 50% flowering [days]—number of days till 50% flowering for each plot.

Days till 100% flowering [days]—number of days till 100% flowering for each plot.

Maturity [days]—measure as 95% of the pods in a plot have ripened (turned 100% brown). Delayed leaf drop and green stems are not considered in assigning maturity. Tests are observed 3 days per week, every other day, for maturity. The maturity date is the date that 95% of the pods have reached final color. Maturity is expressed in days after August 31 [according to the accepted definition of maturity in USA, Descriptor list for SOYBEAN, ars-grin (dot) gov/cgi-bin/npgs/html/desclist (dot) pl?51].

Seed quality [ranked 1-5]—measure at harvest; a visual estimate based on several hundred seeds. Parameter is rated according to the following scores considering the amount and degree of wrinkling, defective coat (cracks), greenishness, and moldy or other pigment. Rating is “1”—very good, “2”—good, “3”—fair, “4”—poor, “5”—very poor.

Lodging [ranked 1-5]—is rated at maturity per plot according to the following scores: “1”—most plants in a plot are erected; “2”—all plants leaning slightly or a few plants down; “3”—all plants leaning moderately, or 25%-50% down; “4”—all plants leaning considerably, or 50%-80% down; “5”—most plants down. Note: intermediate score such as 1.5 are acceptable.

Seed size [gr.]—weight of 1000 seeds per plot normalized to 13% moisture, measure at harvest.

Total weight of seeds per plant [gr./plant]—calculated at harvest (per 2 inner rows of a trimmed plot) as weight in grams of cleaned seeds adjusted to 13% moisture and divided by the total number of plants in two inner rows of a trimmed plot.

Yield at harvest [bushels/hectare]—calculated at harvest (per 2 inner rows of a trimmed plot) as weight in grams of cleaned seeds, adjusted to 13% moisture, and then expressed as bushels per acre.

Average lateral branch seeds per pod [number]—Calculate number of seeds on lateral branches-at pod set and divide by the number of pods with seeds on lateral branches-at pod set.

Average main stem seeds per pod [number]—Calculate total number of seeds on main stem at pod set and divide by the number of pods with seeds on main stem at pod setting.

Main stem average internode length [cm]—Calculate plant height at pod set and divide by the total number of nodes on main stem at pod setting.

Total number of pods with seeds on main stem [number]—count all pods containing seeds on the main stem at pod setting.

Total number of pods with seeds on lateral branches [number]—count all pods containing seeds on the lateral branches at pod setting.

Total number of pods per plant at pod set [number]—count pods on main stem and lateral branches at pod setting.

TABLE 128
Soybean correlated parameters (vectors)
Correlation
Correlated parameter withID
100 percent flowering (days)1
50 percent flowering (days)2
Base diameter at pod set (mm)3
DW at pod set (gr.)4
Lodging (score 1-5)5
Maturity (days)6
Num of lateral branches (number)7
Num of pods with 1 seed on main stem at pod set (number)8
Num of pods with 2 seed on main stem at pod set (number)9
Num of pods with 3 seed on main stem at pod set (number)10
Num of pods with 4 seed on main stem at pod set (number)11
Plant height at harvest (cm)12
Plant height at pod set (cm)13
Ratio number of pods per node on main stem (ratio)14
Ratio num of seeds-main stem to lateral branches (ratio)15
Seed quality (score 1-5)16
1000 seed weight (gr.)17
Num of Seeds on lateral branches-at pod set18
Total Number of Seeds on main stem at pod set (number)19
Num of pods with 1 seed on lateral branch-pod set (number)20
Num of pods with 2 seed on lateral branch-pod set (number)21
Num pods with 3 seed on lateral branch-at pod set (number)22
Num pods with 4 seed on lateral branch-at pod set (number)23
Total number of nodes on main stem (number)24
Num of nodes with pods on lateral branches-pod set (number)25
Total number of seeds per plant (number)26
Total weight of lateral branches at pod set (gr.)27
Weight of pods on lateral branches (gr)-at pod set28
Total weight of pods on main stem at pod set (gr.)29
Total weight of pods per plant (gr./plant)30
Total weight of seeds per plant (gr./plant)31
Fresh weight at pod set (gr.)32
Yield at harvest (bushel/hectare)33
Average lateral branch seeds per pod34
Average main stem seeds per pod35
Main stem average internode length (cm)36
Num pods with seeds on lateral branches-at pod set (number)37
Total number of pods per plant (number)38
Total number of pods with seeds on main stem (number)39
Corrected Seed size (gr.)40
Table 128.

29 different Soybean varieties lines were grown and characterized for 40 parameters as specified above. Tissues for expression analysis were sampled from a subset of 12 lines. The correlated parameters are described in Table 128 above. The average for each of the measured parameter was calculated using the JMP software (Tables 129-134) and a subsequent correlation analysis was performed (Table 135). Results were then integrated to the database.

TABLE 129
Measured parameters in Soybean varieties (lines 1-6)
Ecotype/
TreatmentLine-1Line-2Line-3Line-4Line-5Line-6
167.3371.6767.6767.3360.0074.00
261.0065.3360.6761.0054.6768.33
38.339.549.688.118.8210.12
453.6750.3338.0046.1760.8355.67
51.671.831.171.672.672.83
624.0043.6730.3330.3338.3340.00
79.008.679.119.897.6717.56
81.114.381.441.444.561.67
916.8916.2513.2216.8927.008.11
1029.561.7519.7822.3311.6722.78
110.000.000.110.110.000.44
1296.6776.6767.5075.8374.1776.67
1386.7869.5662.4470.8969.4463.89
142.871.382.132.262.601.87
150.890.900.870.892.320.37
162.333.503.002.172.832.00
1789.00219.3393.0086.00191.3371.33
18150.8955.89134.00160.4475.44324.63
19123.5643.8987.67102.6793.5688.00
201.563.001.781.785.675.63
2117.0018.7526.4432.3321.5633.50
2238.442.0026.4431.338.8982.00
230.000.000.000.000.001.50
2416.5616.7816.1118.1116.7817.11
2523.0016.0023.1133.0015.2245.25
26274.4499.78221.67263.11169.00412.50
2767.7863.7864.8974.8954.00167.22
2826.0014.8920.1120.1121.1130.25
2922.1114.3316.0015.0033.789.00
3048.1129.2236.1135.1154.8938.88
3115.0910.5017.2316.5112.0610.25
32170.89198.22152.56163.89224.67265.00
3347.5743.7750.3756.3044.0040.33
342.671.952.432.532.132.68
352.601.892.522.532.172.59
365.244.153.913.924.153.74
3757.0028.5654.6765.4436.11122.63
38104.5651.6789.22106.2279.33155.63
3947.5623.1134.5640.7843.2233.00
4089.0093.0086.0071.33
Table 129.
TABLE 130
Measured parameters in Soybean varieties (lines 7-12)
Ecotype/
TreatmentLine-7Line-8Line-9Line-10Line-11Line-12
173.0072.3368.6773.6768.0070.67
266.5065.6762.3367.6761.6764.33
38.468.098.267.738.167.89
448.0052.0044.1752.6756.0047.50
52.672.501.833.503.331.50
641.0038.3331.0039.0027.3332.67
711.6712.118.009.116.7810.00
84.004.332.111.893.441.22
921.3317.6720.3316.1128.1116.56
1011.1128.2224.1136.4439.6732.33
110.000.560.003.890.000.00
12101.6798.3375.83116.6776.6771.67
1389.7882.1170.56101.6779.5667.22
141.982.712.782.753.702.84
153.900.781.181.981.030.83
163.502.502.172.332.172.17
1788.0075.0080.6775.6776.3377.33
1846.88176.22143.00105.44184.33187.33
1980.00126.56115.11159.00178.67131.33
202.883.001.252.671.783.00
218.5022.7821.7510.6723.7825.67
229.0042.1132.7525.6745.0044.33
230.000.330.001.110.000.00
2418.7818.8916.7821.1119.3320.78
258.2525.4421.8816.3322.5624.22
26136.00302.78260.50264.44363.00318.67
2745.4483.2264.3352.0076.8967.00
284.1320.1117.009.2228.1122.56
299.0316.0015.8914.5630.4418.00
3014.2536.1132.7523.7858.5640.56
317.3011.3815.6810.8312.9815.16
32160.67196.33155.33178.11204.44164.22
3334.2344.2753.6742.4743.6052.20
342.122.582.582.672.622.58
352.222.492.472.712.512.61
364.804.364.204.824.123.83
3720.3868.2255.7540.1170.5673.00
3861.00119.00103.2598.44141.78123.11
3936.4450.7843.6358.3371.2250.11
4088.0075.0080.6775.6776.3377.33
Table 130.
TABLE 131
Measured parameters in Soybean varieties (lines 1-8)
Ecotype/Line-Line-Line-Line-Line-Line-Line-Line-
Treatment12345678
167.3367.3367.3370.0068.0071.6767.3367.67
38.278.008.337.167.789.548.139.68
435.8351.6753.6734.6747.5050.3353.5038.00
52.002.001.671.671.171.831.671.17
627.6727.6724.0030.3331.3343.6727.0030.33
75.118.449.007.008.678.677.119.11
80.562.441.112.560.894.381.891.44
916.4417.2216.8925.3310.4416.2520.0013.22
1019.3323.3329.5623.3330.561.7523.5619.78
110.000.000.000.002.220.000.000.11
1269.1785.0096.6775.8373.3376.6775.0067.50
1366.7879.4486.7864.1168.0069.5674.1162.44
142.342.672.872.872.511.382.652.13
151.281.130.891.350.860.901.430.87
163.002.172.332.332.503.502.673.00
17126.00116.0089.0075.6784.33219.33119.093.00
1892.78124.00150.89122.78174.8955.89112.67134.00
1991.44106.89123.56123.22122.3343.89112.5687.67
200.780.891.560.781.003.001.221.78
2115.3317.5617.0023.3318.1118.7521.2226.44
2220.4429.3338.4425.1143.222.0023.0026.44
230.0000.0000.0000.0002.0000.0000.0000.000
2415.5616.1116.5617.7817.6716.7817.3316.11
2513.8920.8923.0022.4426.1116.0021.5623.11
26184.22230.89274.44246.00297.2299.78225.22221.67
2757.7866.6767.7857.0073.6763.7864.4464.89
2823.0025.0026.0018.3323.2214.8927.8920.11
2922.5622.2222.1117.8917.8914.3323.7816.00
3045.5647.2248.1136.2241.1129.2251.6736.11
3121.3514.7015.0913.4416.6010.5016.0317.23
32158.89185.78170.89146.78172.78198.22166.44152.56
3355.5350.3347.5746.8355.8743.7751.6750.37
342.532.582.672.512.741.952.462.43
352.522.492.602.362.771.892.502.52
364.294.935.243.613.854.154.293.91
3736.5647.7857.0049.2264.3328.5645.4454.67
3872.8990.78104.56100.44108.4451.6790.8989.22
3936.3343.0047.5651.2244.1123.1145.4434.56
Table 131.
TABLE 132
Measured parameters in Soybean varieties (lines 9-16)
Ecotype/Line-Line-Line-Line-Line-Line-Line-Line-
Treatment910111213141516
171.6767.3367.0069.6760.0070.6771.6771.67
38.418.117.547.838.828.108.729.54
445.8346.1738.6750.6760.8344.3352.3354.50
51.831.671.172.672.671.503.001.83
635.3330.3328.0041.0038.3331.0036.0038.67
78.679.895.335.007.674.787.788.78
82.331.441.671.674.562.674.141.89
922.3316.8917.0019.2227.0032.8918.7115.11
1025.4422.3331.8910.0011.6727.8931.4341.89
110.110.110.000.000.000.001.710.44
1275.0075.8366.67115.8374.1772.5083.3376.67
1369.6770.8962.3394.4469.4466.7875.4468.56
142.772.262.761.432.603.323.193.17
151.380.891.412.402.321.540.801.21
162.002.172.003.002.832.172.002.33
1784.6786.0075.67169.33191.3386.6785.6787.67
18171.11160.44139.6749.4475.44112.33204.67180.78
19123.78102.67131.3370.1193.56152.11140.11159.56
202.781.780.890.335.671.565.130.67
2134.4432.3319.8912.5621.5621.2229.6316.67
2233.0031.3333.008.008.8922.7840.2548.78
230.1110.0000.0000.0000.0000.0000.7500.111
2418.0018.1118.3321.5616.7819.1117.3318.78
2526.3333.0021.3314.3815.2218.5630.4428.00
26294.89263.11271.00119.56169.00264.44344.78340.33
2780.3374.8958.3355.2554.0052.44105.0067.00
2823.0020.1119.3312.0021.1115.3323.7820.67
2918.0015.0019.6315.4133.7821.5616.2226.56
3041.0035.1139.8827.4154.8936.8940.0047.22
3114.6416.5117.1210.5212.0615.8012.6412.58
32175.67163.89136.56191.67224.67155.33216.22192.11
3352.9356.3055.0740.1744.0052.3746.9048.57
342.432.532.602.342.132.482.472.70
352.482.532.602.262.172.402.522.68
363.903.923.414.384.153.504.363.67
3770.3365.4453.7820.8936.1145.5683.1166.22
38120.56106.22104.3351.7879.33109.00138.89125.56
3950.2240.7850.5630.8943.2263.4455.7859.33
Table 132.
TABLE 133
Measured parameters in Soybean varieties (lines 17-23)
Eco-
type/
Treat-Line-Line-Line-Line-Line-Line-Line-
ment17181920212223
174.0073.0072.3373.3367.3368.6769.33
310.128.468.098.117.098.267.57
455.6748.0052.0045.1757.0044.1743.33
52.832.672.501.672.501.832.00
640.0041.0038.3337.0024.6731.0037.67
717.5611.6712.1110.448.008.009.00
81.674.004.331.891.782.110.44
98.1121.3317.6720.0017.4420.3311.22
1022.7811.1128.2227.8925.1124.1125.22
110.440.000.560.560.440.000.11
1276.67101.6798.3389.1793.3375.8378.33
1363.8989.7882.1181.1185.6770.5670.78
141.871.982.712.582.452.782.15
150.373.900.781.360.921.180.82
162.003.502.502.002.502.172.17
1771.3388.0075.0078.6791.6780.6780.67
18324.6346.88176.22121.56151.56143.00144.00
1988.0080.00126.56127.78113.78115.1199.00
205.632.883.002.331.671.250.89
2133.508.5022.7821.8922.8921.7513.22
2282.009.0042.1124.5634.1132.7538.89
231.5000.0000.3330.4440.4440.0000.000
2417.1118.7818.8919.4419.8916.7817.00
2545.258.2525.4422.6723.0021.8823.78
26412.50136.00302.78249.33265.33260.50243.00
27167.2245.4483.2263.6769.6764.3376.22
2830.254.1320.1114.8924.3317.0019.22
299.009.0316.0014.5719.7815.8914.67
3038.8814.2536.1129.4644.1132.7533.89
3110.257.3011.3813.8614.6315.6814.77
32265.00160.67196.33166.33171.44155.33175.78
3340.3334.2344.2746.2349.7053.6752.53
342.682.122.582.482.612.582.70
352.592.222.492.532.532.472.67
363.744.804.364.184.894.204.16
37122.6320.3868.2249.2259.1155.7553.00
38155.6361.00119.0099.56103.89103.2590.00
3933.0036.4450.7850.3344.7846.5637.00
Table 133.
TABLE 134
Measured parameters in Soybean varieties (lines 24-29)
Ecotype/Line-Line-Line-Line-Line-Line-
Treatment242526272829
173.6768.0068.6768.0067.0070.67
37.738.168.186.887.827.89
452.6756.0056.1743.5046.0047.50
53.503.331.831.502.331.50
639.0027.3327.6727.3336.3332.67
79.116.787.114.339.1110.00
81.893.443.221.673.331.22
916.1128.1124.6714.6714.3316.56
1036.4439.6735.7831.6737.5632.33
113.890.000.000.780.780.00
12116.6776.6785.0078.3379.1771.67
13101.6779.5677.4473.6773.6767.22
142.753.703.583.063.342.84
151.981.031.481.821.350.83
162.332.172.172.332.172.17
1775.6776.3388.0093.3379.0077.33
18105.44184.33166.2292.33143.78187.33
19159.00178.67159.89129.11147.78131.33
202.671.781.000.562.113.00
2110.6723.7826.7810.2215.8925.67
2225.6745.0037.2223.7835.8944.33
231.1110.0000.0000.0000.5560.000
2421.1119.3317.7815.8916.6720.78
2516.3322.5619.8911.7816.0024.22
26264.44363.00326.11221.44291.56318.67
2752.0076.8974.7835.3352.1167.00
289.2228.1124.2214.3315.1322.56
2914.5630.4424.2226.3621.4418.00
3023.7858.5648.4440.6935.7540.56
3110.8312.9816.3816.6415.8215.16
32178.11204.44205.89144.67176.44164.22
3342.4743.6051.9052.5046.4352.20
342.672.622.372.672.622.58
352.712.512.532.642.652.61
364.824.124.364.644.473.57
3740.1170.5671.6734.5654.4473.00
3898.44141.78135.3383.33110.44123.11
3958.3371.2263.6748.7856.0050.11
Table 134.
TABLE 135
Correlation between the expression level of selected genes of some
embodiments of the invention in various tissues and the phenotypic
performance under normal conditions across soybean varieties
GeneP Exp.Corr.GeneP Exp.Corr.
NameRvaluesetSet IDNameRvaluesetSet ID
LBY1930.821.02E−031115LBY1930.714.99E−02916
LBY1930.772.59E−02917LBY1930.782.57E−03123
LBY1930.728.44E−031033LBY1940.721.80E−02718
LBY1940.721.82E−02727LBY1940.779.00E−0377
LBY1940.741.50E−02725LBY1940.848.52E−03922
LBY1940.857.48E−03918LBY1940.811.40E−02921
LBY1940.772.52E−02932LBY1940.772.39E−02923
LBY1940.831.09E−02927LBY1940.782.26E−02925
LBY1940.811.53E−02926LBY1950.787.97E−03732
LBY1950.721.91E−02720LBY1950.701.08E−02111
LBY1950.921.34E−04515LBY1950.721.77E−02817
LBY1950.734.06E−02922LBY1950.762.87E−02918
LBY1950.733.91E−02921LBY1950.961.10E−04932
LBY1950.811.43E−0294LBY1950.724.45E−0295
LBY1950.821.21E−02923LBY1950.875.44E−03927
LBY1950.772.57E−02925LBY1950.714.66E−02928
LBY1950.705.27E−02926LBY1950.754.95E−0349
LBY1950.745.96E−031030LBY1950.782.66E−031029
LGN20.814.49E−0389LGN20.733.95E−0296
LGN20.782.35E−0292LGN20.821.33E−0291
LGN20.767.13E−03220LGN20.881.35E−04132
LGN20.728.28E−0313LGN20.801.63E−03120
LGN20.801.68E−031015LBY1940.731.57E−02536
LBY1940.751.33E−02737LBY1940.811.51E−02938
LBY1940.857.25E−03937LBY1950.734.11E−02938
LBY1950.772.56E−02937LBY1940.801.81E−02840
LBY1940.983.36E−05540
Table 135. Provided are the correlations (R) between the expression levels yield improving genes and their hom*ologs in various tissues [Expression (Exp) sets, Table 127] and the phenotypic performance [yield, biomass, and plant architecture as described in Tables 129-134 using the Correlation vectors (Con.) described in Table 128] under normal conditions across soybean varieties. P = p value.

In order to produce a high throughput correlation analysis between NUE related phenotypes and gene expression, the present inventors utilized a Tomato oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 44,000 Tomato genes and transcripts. In order to define correlations between the levels of RNA expression with NUE, ABST, yield components or vigor related parameters various plant characteristics of 18 different Tomato varieties were analyzed. Among them, 10 varieties encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

I. Correlation of Tomato Varieties Across Ecotypes Grown Under Low Nitrogen, Drought and Regular Growth Conditions

10 Tomato varieties were grown in 3 repetitive blocks, each containing 6 plants per plot were grown at net house. Briefly, the growing protocol was as follows:

1. Regular growth conditions: Tomato varieties were grown under normal conditions: 4-6 Liters/m2 of water per day and fertilized with NPK (nitrogen, phosphorous and potassium at a ratio 6:6:6, respectively) as recommended in protocols for commercial tomato production.

2. Low Nitrogen fertilization conditions: Tomato varieties were grown under normal conditions (4-6 Liters/m2 per day and fertilized with NPK as recommended in protocols for commercial tomato production) until flower stage. At this time, Nitrogen fertilization was stopped.

3. Drought stress: Tomato variety was grown under normal conditions (4-6 Liters/m2 per day) until flower stage. At this time, irrigation was reduced to 50% compared to normal conditions.

Plants were phenotyped on a daily basis following the standard descriptor of tomato (Table 137). Harvest was conducted while 50% of the fruits were red (mature). Plants were separated to the vegetative part and fruits, of them, 2 nodes were analyzed for additional inflorescent parameters such as size, number of flowers, and inflorescent weight. Fresh weight of all vegetative material was measured. Fruits were separated to colors (red vs. green) and in accordance with the fruit size (small, medium and large). Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute). Data parameters collected are summarized in Tables 138-140, herein below.

Analyzed Tomato tissues—Two tissues at different developmental stages [flower and leaf], representing different plant characteristics, were sampled and RNA was extracted as described above. For convenience, each micro-array expression information tissue type has received a Set ID as summarized in Table 136 below.

TABLE 136
Tomato transcriptome expression sets
Expression SetSet ID
Leaf at reproductive stage under normal conditions1
Flower under normal conditions2
Leaf at reproductive stage under low N conditions3
Flower under low N conditions4
Leaf at reproductive stage under 5
drought conditions
Flower under drought conditions6
Table 136: Provided are the identification (ID) digits of each of the tomato expression sets.

The collected data parameters were as follows:

Fruit Weight (gr)—At the end of the experiment [when 50% of the fruits were ripe (red)] all fruits from plots within blocks A-C were collected. The total fruits were counted and weighted. The average fruits weight was calculated by dividing the total fruit weight by the number of fruits.

Yield/SLA—Fruit yield divided by the specific leaf area, gives a measurement of the balance between reproductive and vegetative processes.

Yield/total leaf area—Fruit yield divided by the total leaf area, gives a measurement of the balance between reproductive and vegetative processes.

Plant vegetative Weight (FW) (gr)—At the end of the experiment [when 50% of the fruit were ripe (red)] all plants from plots within blocks A-C were collected. Fresh weight was measured (grams).

Inflorescence Weight (gr)—At the end of the experiment [when 50% of the fruits were ripe (red)] two Inflorescence from plots within blocks A-C were collected.

The Inflorescence weight (gr.) and number of flowers per inflorescence were counted.

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at time of flowering. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.

Water use efficiency (WUE)—can be determined as the biomass produced per unit transpiration. To analyze WUE, leaf relative water content was measured in control and transgenic plants. Fresh weight (FW) was immediately recorded; then leaves were soaked for 8 hours in distilled water at room temperature in the dark, and the turgid weight (TW) was recorded. Total dry weight (DW) was recorded after drying the leaves at 60° C. to a constant weight. Relative water content (RWC) was calculated according to the following Formula I as described above.

Plants that maintain high relative water content (RWC) compared to control lines were considered more tolerant to drought than those exhibiting reduced relative water content.

TABLE 137
Tomato correlated parameters (vectors)
Correlation
Correlated parameter withID
100 weight green fruit [gr.] (Drought conditions)1
100 weight green fruit [gr.] (Low N conditions)2
100 weight green fruit [gr.] (Normal conditions)3
100 weight red fruit [gr.] (Drought conditions)4
100 weight red fruit [gr.] (Low N conditions)5
100 weight red fruit [gr.] (Normal conditions)6
Cluster Weight (Low N/Normal conditions)7
FW NUE [gr.] (Normal conditions)8
FW (Drought conditions/Normal conditions)9
FW/Plant [gr./number] (Low N conditions)10
FW/Plant [gr./number] (Normal) conditions11
FW/Plant [gr./number] (Drought conditions)12
Fruit (Drought conditions/Low N conditions)13
Fruit NUE [number] (Normal conditions)14
Fruit Yield (Drought conditions/Normal conditions)15
Fruit Yield/Plant [gr./number] (Low N conditions)16
Fruit Yield/Plant [gr./number] (Drought conditions)17
Fruit yield/Plant [gr.] (Normal conditions)18
HI [yield/yield + biomass] (Low N conditions)19
HI [yield/yield + biomass] (Normal conditions)20
Leaflet Length [cm] (Low N conditions)21
Leaflet Length [cm] (Normal conditions)22
Leaflet Length [cm]) (Drought conditions)23
Leaflet Width [cm] (Low N conditions)24
Leaflet Width [cm] (Normal conditions)25
Leaflet Width [cm] (Drought conditions)26
NUE [yield/SPAD] (Low N conditions)27
NUE [yield/SPAD] [gr./number] (Normal conditions)28
NUE2 [total biomass/SPAD] (Low N conditions)29
NUE2 [total biomass/SPAD] [gr./number] 30
(Normal conditions)
NUpE [biomass/SPAD] (Low N conditions)31
NUpE [biomass/SPAD] [gr./number] (Normal conditions)32
No flowers (Low N conditions)33
Number of flowers (Normal conditions)34
Number of Flower (Drought conditions/Low N conditions)35
Number of Flower (Drought conditions/Normal conditions)36
Number of flowers (Drought conditions)37
Num. Flowers (Low N conditions/Normal conditions)38
RWC (Normal conditions)39
RWC (Drought conditions)40
RWC (Drought conditions/Normal conditions)41
RWC (Low N conditions)42
RWC (Low N conditions/Normal conditions)43
SPAD 100% RWC (Low N conditions/Normal conditions)44
SLA [leaf area/plant biomass] [cm2/gr] (Low N conditions)45
SLA [leaf area/plant biomass] [cm2/gr] (Normal conditions)46
SPAD (Normal conditions)47
SPAD 100% RWC (Low N conditions)48
SPAD 100% RWC (Normal conditions)49
SPAD (Low N conditions)50
SPAD (Low N conditions/Normal conditions)51
Total Leaf Area [cm2] (Low N conditions)52
Total Leaf Area [cm2] (Normal conditions)53
Total Leaf Area [cm2]) (Drought conditions)54
Weight Flower clusters [gr.] (Normal conditions)55
Weight clusters (flowers) (Low N conditions)56
Weight flower clusters [gr.] (Drought conditions)57
Yield/SLA [gr./(cm2/gr.)] (Low N conditions)58
Yield/SLA [gr./(cm2/gr.)] (Normal conditions)59
Yield/total leaf area [gr/cm2] (Low N conditions)60
Yield/total leaf area [gr./cm2] (Normal conditions)61
Average red fruit weight [gr.] (Low N conditions)62
Average red fruit weight [gr.] (Normal conditions)63
Average red fruit weight [gr.] (Drought conditions)64
Flower cluster weight (Drought conditions/Low N conditions)65
Flower cluster weight (Drought 66
conditions/Normal conditions)
Red fruit weight (Drought conditions/Normal conditions)67
Table 137. Provided are the tomato correlated parameters. “gr.” = grams; “FW” = fresh weight; “NUE” = nitrogen use efficiency; “RWC” = relative water content; “NUpE” = nitrogen uptake efficiency; “SPAD” = chlorophyll levels; “HI” = harvest index (vegetative weight divided on yield); “SLA” = specific leaf area (leaf area divided by leaf dry weight), Treatment in the parenthesis.

Table 137 provides the tomato correlated parameters (Vectors). The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 138-140 below. Subsequent correlation analysis was conducted (Table 141). Results were integrated to the database.

TABLE 138
Measured parameters in Tomato accessions (lines 1−6)
Ecotype/Line-Line-Line-Line-Line-Line-
Treatment123456
1
20.570.373.400.680.450.47
30.563.050.242.586.325.75
4
50.650.537.170.440.55
60.822.460.502.765.325.24
70.440.011.080.020.370.81
80.743.010.831.543.701.22
90.612.631.181.364.021.01
102.252.541.853.063.132.54
113.020.842.241.980.852.09
121.852.222.632.713.412.11
131.320.761.510.715.060.89
140.973.802.780.780.021.16
151.272.884.200.550.091.03
160.480.461.350.350.010.51
170.630.352.040.250.050.45
180.490.120.490.450.530.44
190.180.150.420.100.000.17
200.140.120.180.190.380.17
213.695.436.953.734.396.72
226.347.995.597.707.856.22
23
241.792.553.521.731.873.54
253.694.773.434.564.443.15
26
270.010.020.040.010.000.02
280.0090.0030.0100.0100.0120.008
290.080.130.090.110.110.09
300.0630.0210.0570.0560.0320.047
310.070.110.050.090.110.08
320.0540.0180.0460.0460.0200.039
339.0013.0010.6716.676.0016.00
346.337.679.678.335.008.33
351.741.561.091.524.961.08
362.472.651.213.045.952.08
3715.6720.3311.6725.3329.7317.33
381.421.701.102.001.201.92
3964.2967.0754.7977.6158.1866.51
4065.3372.2266.1368.3378.1318.46
411.021.081.210.881.340.28
4269.4963.2477.3677.9180.4967.40
431.080.941.411.001.381.01
440.920.751.310.971.110.95
45131.29148.82257.5164.34144.60246.05
46140.99689.67130.22299.121117.74111.77
4755.8046.4048.2043.4042.9053.30
4833.0123.4234.5332.5127.6633.68
4935.8931.0926.3833.6824.9835.47
5047.5037.0044.6041.7034.4050.00
510.850.800.930.960.800.94
52294.83378.00476.39197.08453.24625.51
53426.10582.38291.40593.58947.59233.35
54
550.6956.350.4411.310.790.58
560.310.350.470.250.290.47
570.330.290.550.310.450.56
580.0040.0030.0050.0060.0000.002
590.0040.0000.0040.0020.0000.004
600.0020.0010.0030.0020.0000.001
610.0010.0000.0020.0010.0010.002
620.0060.0050.0960.0040.0060.007
630.010.290.010.050.230.29
640.2090.0050.1020.0020.0350.006
651.060.821.161.251.521.19
660.470.011.250.030.560.96
6725.380.0220.260.040.150.02
Table 138.
TABLE 139
Measured parameters in Tomato accessions (lines 7-12)
Ecotype/
TreatmentLine-7Line-8Line-9Line-10Line-11Line-12
10.800.280.38
20.540.390.970.910.360.35
30.380.301.952.531.422.03
40.890.350.63
50.750.581.271.340.520.57
60.610.662.700.702.644.67
70.550.360.950.800.340.61
80.580.551.060.491.311.36
90.610.640.950.511.171.94
101.841.521.911.862.472.62
113.212.751.813.771.891.93
121.951.761.721.922.213.73
130.672.170.381.270.841.51
142.071.512.412.060.381.64
151.393.280.912.620.322.48
160.440.471.590.390.320.45
170.291.020.600.490.270.68
180.210.310.660.190.850.27
190.190.240.450.170.120.15
200.060.100.270.050.310.12
216.664.393.905.296.325.11
226.165.654.394.446.777.42
235.153.387.14
243.282.522.612.613.582.56
253.373.132.402.023.803.74
262.552.044.17
270.010.010.060.010.010.02
280.0040.0060.0170.0040.0150.006
290.080.060.140.060.060.12
300.0580.0600.0620.0830.0470.046
310.060.040.080.050.050.10
320.0550.0540.0450.0790.0330.040
3315.006.0017.0013.008.679.33
3410.007.009.008.005.338.00
350.984.940.880.792.121.29
361.474.241.671.293.441.50
3714.6729.6715.0010.3318.3312.00
381.500.861.891.631.631.17
3964.7175.2566.2363.2156.7735.96
4073.2162.5067.2175.7662.8270.69
411.130.831.011.201.111.97
4267.1666.0769.5769.30100.0057.66
431.040.881.051.101.761.60
440.790.920.941.361.441.50
45405.55299.3286.19182.32160.1890.10
46106.29123.14104.99111.88307.95419.37
4758.5051.1040.0047.6057.9048.30
4830.0435.5024.8140.7747.4726.06
4937.8738.4326.4930.0732.8917.35
5044.7053.7035.7058.8047.5045.20
510.761.050.891.240.820.94
52748.01453.96164.85338.30396.00236.15
53340.73339.11190.14421.79581.33807.51
54337.63130.78557.93
550.730.830.860.501.020.70
560.400.300.820.400.350.43
570.3040.3150.3080.3118.3600.288
580.0010.0020.0180.0020.0020.005
590.0020.0030.0060.0020.0030.001
600.0010.0010.0100.0010.0010.002
610.0010.0010.0030.0000.0010.000
620.0060.0130.0210.0050.0060.047
630.0060.0070.0580.0070.0260.261
640.0050.0050.0050.0120.0050.006
650.761.040.380.7824.120.67
660.420.380.360.628.200.41
670.860.740.091.720.170.02
Table 139.
TABLE 140
Measured parameters in Tomato accessions (lines 13-18)
Ecotype/
Treat-Line-Line-Line-Line-Line-Line-
ment131415161718
10.632.861.164.40
20.574.382.028.130.873.66
31.392.270.450.42
42.277.402.9411.60
50.946.173.6711.331.066.87
62.170.490.340.75
70.940.680.401.440.461.07
80.510.710.310.472.650.38
90.351.060.210.481.720.34
101.081.170.921.094.041.21
112.141.653.012.291.533.17
120.751.760.631.112.621.09
130.981.340.380.841.150.73
140.411.214.591.700.491.93
150.411.621.761.420.571.41
160.140.401.440.500.410.66
170.140.530.550.410.470.48
180.350.330.310.290.830.34
190.120.250.610.310.090.35
200.140.170.090.110.350.10
214.726.837.108.216.405.92
226.715.874.1610.29
235.488.626.356.77
242.483.433.303.693.471.97
252.983.222.095.91
263.094.693.872.91
270.000.010.040.010.010.02
280.0080.0060.0080.0050.0170.009
290.030.050.060.040.160.05
300.0570.0360.0800.0440.0470.095
310.030.040.020.030.140.03
320.0490.0300.0720.0390.0310.085
3312.676.679.338.0019.005.33
347.679.0010.679.005.6719.33
351.611.901.361.420.881.22
362.651.411.191.262.940.34
3720.3312.6712.6711.3316.676.50
381.650.740.880.893.350.28
3977.62100.0063.1675.1372.8376.47
4055.7575.2263.6862.3172.1274.51
410.720.751.010.830.990.97
4290.7968.0059.6572.1774.0799.08
431.170.680.940.961.021.30
441.050.561.480.840.791.37
45160.99379.03531.08650.68140.04317.12
46365.81212.9384.94469.87
4743.6054.5041.6059.1049.7037.20
4835.3830.6038.9737.4628.4739.04
4933.8254.4726.2544.4336.1728.45
5039.0045.0065.3051.9038.4039.40
510.890.831.570.880.771.06
52174.58441.78489.18707.80565.93384.77
53784.06351.80255.781078.10
54176.67791.86517.05832.27
550.380.660.700.331.170.34
560.350.450.280.470.530.37
570.340.440.270.430.370.41
580.0010.0010.0030.0010.0030.002
590.0010.0020.0040.001
600.0010.0010.0030.0010.0010.002
610.0000.0010.0010.000
620.3570.0370.6260.0240.191
630.0290.0050.0030.0090.0480.008
640.300.140.040.090.010.19
650.970.990.950.910.691.11
660.910.670.381.310.321.19
6710.5027.8911.799.980.1924.37
Table 140. Provided are the values of each of the parameters (as described above) measured in tomato accessions (Seed ID) under all growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 141
Correlation between the expression level of selected genes
of some embodiments of the invention in various tissues and
the phenotypic performance under normal and stress
conditions across tomato ecotypes
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY2120.705.16E−02246LBY2120.821.29E−02253
LBY2130.712.23E−02445LBY2130.861.27E−0342
LBY2130.861.45E−0345LBY2130.712.11E−0247
Table 141. Provided are the correlations (R) between the expression levels yield improving genes and their hom*ologs in various tissues [Expression (Exp) sets, Table 136] and the phenotypic performance [yield, biomass, growth rate and/or vigor components described in Tables 138-140 using the correlation vectors (Corr.) described in Table 137] under normal, low N and drought conditions across tomato ecotypes. P = p value.

II. Correlation of early vigor traits across collection of Tomato ecotypes under 300 mM NaCl, low nitrogen and normal growth conditions—Ten tomato hybrids were grown in 3 repetitive plots, each containing 17 plants, at a net house under semi-hydroponics conditions. Briefly, the growing protocol was as follows: Tomato seeds were sown in trays filled with a mix of vermiculite and peat in a 1:1 ratio. Following germination, the trays were transferred to the high salinity solution (300 mM NaCl in addition to the Full Hoagland solution), low nitrogen solution (the amount of total nitrogen was reduced in a 90% from the full Hoagland solution, final amount of 0.8 mM N), or at Normal growth solution (Full Hoagland containing 8 mM N solution, at 28±2° C.). All the plants were grown at 28±2° C.

Full Hoagland solution consists of: KNO3—0.808 grams/liter, MgSO4—0.12 grams/liter, KH2PO4—0.172 grams/liter and 0.01% (volume/volume) of ‘Super coratin’ micro elements (Iron-EDDHA [ethylenediamine-N,N′-bis(2-hydroxyphenylacetic acid)]—40.5 grams/liter; Mn—20.2 grams/liter; Zn 10.1 grams/liter; Co 1.5 grams/liter; and Mo 1.1 grams/liter), solution's pH should be 6.5-6.8.

Analyzed tomato tissues—All 10 selected Tomato varieties were sample per each treatment. Two types of tissues [leaves and roots] were sampled and RNA was extracted as described above. For convenience, each micro-array expression information tissue type has received a Set ID as summarized in Table 142 below.

TABLE 142
Tomato transcriptome expression sets
Expression SetSet IDs
Leaf-normal conditions1 + 10
Root-normal conditions2 + 9
Leaf-low nitrogen conditions3 + 8
Root-low nitrogen conditions4 + 7
Leaf-salinity conditions5 + 12
Root-salinity conditions6 + 11
Table 142. Provided are the tomato transcriptome experimental sets.

Tomato vigor related parameters—following 5 weeks of growing, plant were harvested and analyzed for leaf number, plant height, chlorophyll levels (SPAD units), different indices of nitrogen use efficiency (NUE) and plant biomass. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute). Data parameters collected are summarized in Table 143, herein below.

Leaf number—number of opened leaves.

RGR Leaf Number—was calculated based on Formula VIII (above).

Shoot/Root ratio—was calculated based on Formula XXX (above).

NUE total biomass—nitrogen use efficiency (NUE) calculated as total biomass divided by nitrogen concentration.

NUE root biomass—nitrogen use efficiency (NUE) of root growth calculated as root biomass divided by nitrogen concentration.

NUE shoot biomass—nitrogen use efficiency (NUE) of shoot growth calculated as shoot biomass divided by nitrogen concentration.

Percent of reduction of root biomass compared to normal—the difference (reduction in percent) between root biomass under normal and under low nitrogen conditions.

Percent of reduction of shoot biomass compared to normal—the difference (reduction in percent) between shoot biomass under normal and under low nitrogen conditions.

Percent of reduction of total biomass compared to normal—the difference (reduction in percent) between total biomass (shoot and root) under normal and under low nitrogen conditions.

Plant height—Plants were characterized for height during growing period at 5 time points. In each measure, plants were measured for their height using a measuring tape. Height was measured from ground level to top of the longest leaf.

SPAD [SPAD unit]—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed 64 days post sowing. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.

Root Biomass [DW, gr.]/SPAD—root biomass divided by SPAD results.

Shoot Biomass [DW, gr.]/SPAD—shoot biomass divided by SPAD results.

Total Biomass (Root+Shoot) [DW, gr.]/SPAD—total biomass divided by SPAD results.

TABLE 143
Tomato correlated parameters (vectors)
Correlation
Correlated parameter withID
Leaf number (Low N conditions/Normal conditions) [ratio] 1
Leaf number (Salinity conditions/Normal conditions) [ratio] 2
Leaf number (Salinity conditions/Low N conditions) [ratio] 3
N level/Leaf [SPAD unit/leaf] (Low N conditions, Normal 4
conditions and salinity conditions)
NUE roots (Root Biomass DW/SPAD) [gr./SPAD unit] 5
(Low N conditions and Normal conditions)
NUE shoots (shoot Biomass DW/SPAD) [gr./SPAD unit] 6
(Low N conditions and Normal conditions)
NUE total biomass (Total Biomass DW/SPAD) 7
[gr./SPAD unit] (Low N conditions and Normal conditions)
Percent of reduction of root biomass compared to normal 8
[%] (Low N conditions/Normal conditions) [ratio]
Percent of reduction of shoot biomass compared to normal 9
[%] (Low N conditions/Normal conditions) [ratio]
Plant Height (Low N conditions /Normal conditions) [ratio]10
Plant Height (Salinity conditions /Low N conditions) [ratio]11
Plant Height (Salinity conditions /Normal conditions) [ratio]12
Plant biomass (Salinity conditions) [gr.]13
Plant height (Low N conditions) [cm]14
Plant height (Salinity conditions) [cm]15
Plant height (Normal conditions) [cm]16
NUE Root Biomass DW/SPAD [gr./SPAD unit] (Low N17
conditions and Normal conditions)
SPAD (Low N conditions/Normal conditions) [ratio]18
SPAD (Low N conditions) [SPAD unit]19
SPAD (Normal conditions) [SPAD unit]20
NUE Shoot Biomass DW/SPAD [gr./SPAD unit] (Low N21
conditions, Normal conditions and salinity conditions)
Shoot/Root [ratio] (Low N conditions and Normal22
conditions)
NUE Total Biomass (Root + Shoot DW)/SPAD23
[gr/SPAD unit] (Low N conditions,
Normal conditions and salinity conditions)
Plant height (Normal conditions) [cm]24
Leaf number (Low N conditions) [number]25
Leaf number (Normal conditions) [number]26
Leaf number (Salinity conditions) [number]27
Table 143. Provided are the tomato correlated parameters. “NUE” = nitrogen use efficiency; “DW” = dry weight; “cm” = centimeter; “num”−number; “SPAD” = chlorophyll levels; “gr” = gram;

10 different Tomato varieties were grown and characterized for parameters as described above (Table 143). The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 144-147 below. Subsequent correlation analysis was conducted (Table 148). Follow, results were integrated to the database.

TABLE 144
Measured parameters in Tomato accessions under low nitrogen conditions
Line/Corr. ID110141819242545
Line-10.850.81036.781.0134.5745.335.5610.8546.99
Line-20.900.83039.890.9824.8747.786.2211.4092.54
Line-30.980.84034.441.0228.5840.787.22
Line-41.090.85047.001.0031.5855.336.7810.4387.04
Line-50.880.83046.440.9829.7256.225.5611.1695.04
Line-61.020.93045.440.9831.8348.676.568.9298.01
Line-70.870.85047.670.9330.3355.785.117.92615.09
Line-81.061.05039.331.0530.2937.445.897.9939.02
Line-90.910.84041.781.0131.3249.565.5610.3048.78
Line-101.120.88041.000.9928.7746.336.338.5857.25
Line-1111.5287.73
Line-1214.49115.94
Table 144. Provided are the values of each of the parameters (as described above) measured in Tomato accessions (Line) under low nitrogen growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 145
Additional measured parameters in Tomato
accessions under low nitrogen conditions
Line/
Corr. ID678917212223
Line-135.3558.4762.59275.3800.000820.00415.0100.0050
Line-224.0963.7554.15855.1120.000320.003011.3930.0034
Line-3
Line-465.0269.2970.54749.7260.000790.00729.4940.0080
Line-546.7171.159.68563.1890.000550.004911.6000.0055
Line-646.6760.5496.12982.6670.000860.00528.2000.0060
Line-7120.0773.9106.50266.9240.001390.011510.3750.0129
Line-860.0968.81111.905107.9820.001030.006910.5230.0079
Line-966.2766.7481.64455.4010.000880.00688.2420.0077
Line-1056.4670.8232.21454.4330.000860.00677.9670.0076
Line-1138.3569.7143.71462.1550.000850.00426.4140.0050
Line-1260.3249.7287.47159.7460.001480.00563.9090.0070
Table 145. Provided are the values of each of the parameters (as described above) measured in Tomato accessions (Line) under low nitrogen growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 146
Measured parameters in Tomato accessions under normal conditions
Line/
Corr.
ID162026456717212223
Line-145.3334.306.569.291.124.697.470.00120.00525.400.0064
Line-247.7825.316.898.870.474.378.630.00060.005210.020.0058
Line-340.7828.127.33
Line-455.3331.436.228.43113.088.850.00110.014415.420.0155
Line-556.2230.246.339.830.847.397.220.00100.00848.830.0093
Line-648.6732.436.448.570.835.657.870.00110.00547.520.0065
Line-755.7832.585.896.570.9417.949.090.00140.017412.610.0188
Line-837.4428.775.566.970.815.567.910.00100.00727.990.0082
Line-949.5630.926.118.711.0811.968.550.00100.010914.310.0119
Line-1046.3328.995.677.352.2510.378.680.00250.01174.800.0143
Line-1110.180.546.179.10.00050.006112.650.0066
Line-129.371.8210.16.240.00170.00946.290.0110
Table 146. Provided are the values of each of the parameters (as described above) measured in Tomato accessions (Line) under normal growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 147
Measured parameters in Tomato accessions under salinity conditions
Line/
Corr.
ID2311121315274211723
Line-10.540.640.150.120.365.603.5611.400.00050.0000600.0007
Line-20.570.630.160.140.446.463.9411.640.00070.0001070.0008
Line-30.680.690.250.210.268.475.00
Line-40.640.590.180.150.718.564.0010.790.00120.0000950.0014
Line-50.560.640.190.160.468.873.5610.780.00170.0000680.0018
Line-60.680.670.170.160.547.564.396.950.00100.0000870.0011
Line-70.540.620.180.150.668.643.179.210.00120.0000990.0013
Line-80.670.630.140.150.405.573.728.540.00070.0000830.0008
Line-90.650.720.140.120.525.824.0010.370.00100.0000940.0011
Line-100.750.680.230.200.459.364.288.840.0010
Line-1110.430.00070.0000540.0006
Line-1212.430.00070.0000550.0007
Table 147. Provided are the values of each of the parameters (as described above) measured in Tomato accessions (Line) under salinity growth conditions. Growth conditions are specified in the experimental procedure section.
TABLE 148
Correlation between the expression level of selected genes of
some embodiments of the invention in various tissues and the
phenotypic performance under low nitrogen, normal or salinity
stress conditions across Tomato accessions
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY2120.753.13E−02325LBY2130.811.38E−02310
LBY2130.853.95E−0339LBY2130.742.18E−0238
Table 148. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance Corr. ID-correlation set ID according to the correlated parameters specified in Table 143. Exp. Set-Expression set specified in Table 142. R = Pearson correlation coefficient; P = p value.

In order to conduct high throughput gene expression correlation analysis, the present inventors used cotton oligonucleotide microarray, designed and produced by “Comparative Evolutionary Genomics of Cotton” [cottonevolution (dot) info/]. This Cotton Oligonucleotide Microarray is composed of 12,006 Integrated DNA Technologies (IDT) oligonucleotides derived from an assembly of more than 180,000 Gossypium ESTs sequenced from 30 cDNA libraries. For additional details see PCT/IL2005/000627 and PCT/IL2007/001590 which are fully incorporated herein by reference.

TABLE 149
Cotton transcriptome experimental sets
Expression SetSet ID
cotton fiber 5d1
cotton fiber 15d2
cotton fiber 10d3
Table 149. Provided are the cotton transcriptome expression sets. “5d” = 5 days post anthesis; “10d” = 10 days post anthesis; “15d” = 15 days post anthesis. “DPA” = days-past-anthesis.

In order to define correlations between the levels of RNA expression and fiber length, fibers from 8 different cotton lines were analyzed. These fibers were selected showing very good fiber quality and high lint index (Pima types, originating from other cotton species, namely G. barbadense), different levels of quality and lint indexes from various G. hirsutum lines: good quality and high lint index (Acala type), and poor quality and short lint index (Tamcot type, and old varieties). A summary of the fiber length of the different lines is provided in Table 150.

RNA extraction—Fiber development stages, representing different fiber characteristics, at 5, 10 and 15 DPA were sampled and RNA was extracted as described above.

Fiber length assessment—Fiber length of the selected cotton lines was measured using fibrograph. The fibrograph system was used to compute length in terms of “Upper Half Mean” length. The upper half mean (UHM) is the average length of longer half of the fiber distribution. The fibrograph measures length in span lengths at a given percentage point World Wide Web (dot) cottoninc (dot) com/ClassificationofCotton/?Pg=4#Length].

Eight different cotton lines were grown, and their fiber length was measured. The fibers UHM values are summarized in Table 150 herein below. The R square was calculated (Table 151).

TABLE 150
Summary of the fiber length of the 8 different cotton lines
Line/Correlation IDFiber Length (UHM)
Line-11.21
Line-21.10
Line-31.36
Line-41.26
Line-50.89
Line-61.01
Line-71.06
Line-81.15
Table 150: Presented are the fiber length means of 8 different cotton lines.
TABLE 151
Correlation between the expression level of selected genes
of some embodiments of the invention in various tissues and
the phenotypic performance under normal conditions in cotton
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY480.736.24E−0231LBY530.743.67E−0221
LBY930.811.59E−0211LBY960.734.06E−0221
Table 151. Correlations (R) between the genes expression levels in various tissues and the phenotypic performance. Corr. = correlation; set ID 1 = fiber length. Exp. Set- Expression set (according to Table 149). R = Pearson correlation coefficient; P = p value.

In order to produce a high throughput correlation analysis between plant phenotype and gene expression level, the present inventors utilized a cotton oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 60,000 cotton genes and transcripts. In order to define correlations between the levels of RNA expression with ABST and yield and components or vigor related parameters, various plant characteristics of 13 different cotton ecotypes were analyzed and further used for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Correlation of Cotton Varieties Across Ecotypes Grown Under Regular and Drought Growth Conditions

13 Cotton ecotypes were grown in 5-11 repetitive plots, in field. Briefly, the growing protocol was as follows:

Regular growth conditions: Cotton plants were grown in the field using commercial fertilization and irrigation protocols [623 m3 water per dunam (1000 square meters) per entire growth period, fertilization of 24 units of 12% nitrogen, 12 units of 6% phosphorous and 12 units of 6% potassium per entire growth periods]. Plot size was of 5 meter long, two rows, 8 plants per meter.

Drought growth conditions: Cotton seeds were sown in soil and grown under normal condition until first squares were visible (40 days from sowing), and then drought treatment was induced by irrigating with 75% water in comparison to the normal treatment [472 m3 water per dunam (1000 square meters) per entire growth period], while maintaining normal fertilization.

Analyzed Cotton tissues—Eight tissues [mature leaf, lower and upper main stem, flower, main mature boll, fruit, ovule with fiber (Day) and ovule with fiber (Night)] from plants growing under normal conditions were sampled and RNA was extracted as described above.

Eight tissues [mature leaf (Day), mature leaf (Night), lower main stem, upper main stem, main flower, main mature boll, ovule and fiber (Day) and ovule with fiber (night)] from plants growing under drought conditions were sampled and RNA was extracted as described above.

Each micro-array expression information tissue type has received a Set ID as summarized in Tables 152-154 below.

TABLE 152
Cotton transcriptome expression sets under normal
conditions (normal expression set 1)
Expression SetSet ID
Fruit at 10 DPA at reproductive stage under1
normal growth conditions
Lower main stem at reproductive stage under2
normal growth conditions
Main flower at reproductive stage under3
normal growth conditions
Main mature boll at reproductive stage under4
normal growth conditions
Mature leaf (day) at reproductive stage5
normal growth conditions
Mature leaf (night) at reproductive stage6
normal growth conditions
Ovule and fiber (day) at reproductive stage7
normal growth conditions
Ovule and fiber (night) at reproductive stage8
normal growth conditions
Upper main stem at reproductive stage under9
normal growth conditions
Table 152: Provided are the cotton transcriptome expression sets. “Mature leaf” = Full expanded leaf; Lower main stem = the main stem adjacent to main mature boll; Upper main stem = the main stem adjacent to the main flower; Main flower = reproductive organ on the third position on the main stem (position 3); Fruit at 10 DPA = reproductive organ ten days after anthesis on the main stem (position 2); Main mature boll = reproductive organ on the first position on the main stem (position 1). “DPA” = days post anthesis.
TABLE 153
Additional Cotton transcriptome expression sets under
normal conditions (normal expression set 2)
Expression SetSet ID
Mature leaf at reproductive stage during day under1
normal growth conditions
Ovule and fiber at reproductive stage during day2
under normal growth conditions
Ovule and fiber at reproductive stage during3
night under normal growth conditions
Table 153: Provided are the cotton transcriptome expression sets. “Mature leaf” = Full expanded leaf; Ovule and fiber were sampled either at day or night hours.
TABLE 154
Cotton transcriptome expression sets under drought
conditions (drought expression set 1)
Expression SetSet ID
Lower main stem at reproductive stage under1
drought growth conditions
Main flower at reproductive stage under2
drought growth conditions
Main mature boll at reproductive stage under3
drought growth conditions
Mature leaf during night at reproductive stage4
under drought growth conditions
Ovule with fiber at reproductive stage during5
day under drought growth conditions
Ovule with fiber at reproductive stage during6
night under drought growth conditions
Upper main stem at reproductive stage under7
drought growth conditions
Table 154: Provided are the cotton transcriptome expression sets. Lower main stem = the main stem adjacent to main mature boll; Upper main stem = the main stem adjacent to the main flower; Main flower = reproductive organ on the third position on the main stem (position 3); Main mature boll = reproductive organ on the first position on the main stem (position 1); Ovule and fiber were sampled either at day or night hours.

Cotton yield components and vigor related parameters assessment—13 Cotton ecotypes in 5-11 repetitive plots, each plot containing approximately 80 plants were grown in field. Plants were regularly fertilized and watered during plant growth until harvesting (as recommended for commercial growth). Plants were continuously phenotyped during the growth period and at harvest (Tables 155-156). The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

The following parameters were measured and collected:

Total Bolls yield (RP) [gr.]—Total boll weight (including fiber) per plot.

Total bolls yield per plant (RP) [gr.]—Total boll weight (including fiber) per plot divided by the number of plants.

Fiber yield (RP) [gr.]—Total fiber weight per plot.

Fiber yield per plant (RP) [gr.]—Total fiber weight in plot divided by the number of plants.

Fiber yield per boll (RP) [gr.]-Total fiber weight in plot divided by the number of bolls.

Estimated Average Fiber yield (MB) po_1 (H) [gr.]—Weight of the fiber on the main branch in position 1 at harvest.

Estimated Average Fiber yield (MB) po_3 (H) [gr.]—Weight of the fiber on the main branch in position 3 at harvest.

Estimated Average Bolls FW (MB) po_1 (H) [gr.]—Weight of the fiber on the main branch in position 1 at harvest.

Estimated Average Bolls FW (MB) po_3 (H) [gr.]—Weight of the fiber on the main branch in position 3 at harvest.

Fiber Length (RP)—Measure Fiber Length in inch from the rest of the plot.

Fiber Length Position 1 (SP)—Fiber length at position 1 from the selected plants. Measure Fiber Length in inch.

Fiber Length Position 3 (SP)—Fiber length at position 3 from the selected plants. Measure Fiber Length in inch.

Fiber Strength (RP)—Fiber Strength from the rest of the plot. Measured in grams per denier.

Fiber Strength Position 3 (SP)—Fiber strength at position 3 from the selected plants. Measured in grams per denier.

Micronaire (RP)—fiber fineness and maturity from the rest of the plot. The scale that was used was 3.7-4.2-for Premium; 4.3-4.9-Base Range; above 5-Discount Range.

Micronaire Position 1 (SP)—fiber fineness and maturity from position 1 from the selected plants. The scale that was used was 3.7-4.2-for Premium; 4.3-4.9-Base Range; above 5-Discount Range.

Micronaire Position 3 (SP)—fiber fineness and maturity from position 3 from the selected plants. The scale that was used was 3.7-4.2-for Premium; 4.3-4.9-Base Range; above 5-Discount Range.

Short Fiber Content (RP (%)—short fiber content from the rest of the plot.

Uniformity (RP) (%)—fiber uniformity from the rest of the plot.

Carbon isotope discrimination—(‰)—isotopic ratio of 13 C to 12 C in plant tissue was compared to the isotopic ratio of 13 C to 12 C in the atmosphere measured in units of Per-mille (‰), i.e., parts per thousand, e.g., 1‰= 1/1000=0.001.

Leaf temp (V) (° celsius)—leaf temperature was measured at vegetative stage using Fluke IR thermometer 568 device. Measurements were done on 4 plants per plot.

Leaf temp (10DPA) (° celsius)—Leaf temperature was measured 10 days post anthesis using Fluke IR thermometer 568 device. Measurements were done on 4 plants per plot.

Stomatal conductance (10DPA)—(mmol m−2 s−1)—plants were evaluated for their stomata conductance using SC-1 Leaf Porometer (Decagon devices) 10 days post anthesis. Stomata conductance readings were done on fully developed leaf, for 2 leaves and 2 plants per plot.

Stomatal conductance (17DPA)—(mmol m−2 s−1)—plants were evaluated for their stomata conductance using SC-1 Leaf Porometer (Decagon devices) 17 days post anthesis. Stomata conductance readings were done on fully developed leaf, for 2 leaves and 2 plants per plot.

% Canopy coverage (10DPA) (F)—percent Canopy coverage 10 days post anthesis and at flowering stage. The % Canopy coverage is calculated using Formula XXXII above.

Leaf area (10 DPA) (cm2)—Total green leaves area 10 days post anthesis.

PAR_LAI (10 DPA)—Photosynthetically active radiation 10 days post anthesis.

SPAD (17 DPA) [SPAD unit]—Plants were characterized for SPAD rate 17 days post anthesis. Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter. Four measurements per leaf were taken per plot.

SPAD (pre F)—Plants were characterized for SPAD rate during pre-flowering stage. Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter. Four measurements per leaf were taken per plot.

SPAD rate—the relative growth rate (RGR) of SPAD (Formula IV) as described above.

Leaf mass fraction (10DPA) [cm2/g]—leaf mass fraction 10 days post anthesis. The leaf mass fraction is calculated using Formula XXXIII above.

Lower Stem width (H) [mm]—This parameter was measured at harvest. Lower internodes from 8 plants per plot were separated from the plant and the diameter was measured using a caliber. The average internode width per plant was calculated by dividing the total stem width by the number of plants.

Upper Stem width (H) [mm]—This parameter was measured at harvest. Upper internodes from 8 plants per plot were separated from the plant and the diameter was measured using a caliber. The average internode width per plant was calculated by dividing the total stem width by the number of plants.

Plant height (H) [cm]—plants were measured for their height at harvest using a measuring tape. Height of main stem was measured from ground to apical meristem base. Average of eight plants per plot was calculated.

Plant height growth [cm/day]—the relative growth rate (RGR) of Plant Height (Formula III above) as described above.

Shoot DW (V) [gr.]—Shoot dry weight at vegetative stage after drying at 70° C. in oven for 48 hours. Total weight of 3 plants in a plot.

Shoot DW (10DPA) [gr.]—Shoot dry weight at 10 days post anthesis, after drying at 70° C. in oven for 48 hours. Total weight of 3 plants in a plot.

Bolls number per plant (RP) [num]—Average bolls number per plant from the rest of the plot.

Reproductive period duration [num]—number of days from flowering to harvest for each plot.

Closed Bolls number per plant (RP) [num]—Average closed bolls number per plant from the rest of the plot.

Closed Bolls number per plant (SP) [num]—Average closed bolls number per plant from selected plants.

Open Bolls number per plant (SP) [num]—Average open bolls number per plant from selected plants, average of eight plants per plot.

Number of lateral branches with open bolls (H) [num]—count of number of lateral branches with open bolls at harvest, average of eight plants per plot.

Number of nodes with open bolls (MS) (H) [num]—count of number of nodes with open bolls on main stem at harvest, average of eight plants per plot.

Seeds yield per plant (RP) [gr.]—Total weight of seeds in plot divided in plants number.

Estimated Average Seeds yield (MB) po_1 (H) [gr.]—Total weight of seeds in position one per plot divided by plants number.

Estimated Average Seeds yield (MB) po_3 (H) [gr.]—Total weight of seeds in position three per plot divided by plants number.

Estimated Average Seeds number (MB) po_1 (H) [num]—Total number of seeds in position one per plot divided by plants number.

Estimated Average Seeds number (MB) po_3 (H) [num]—Total number of seeds in position three per plot divided by plants number.

1000 seeds weight (RP) [gr.]—was calculated based on Formula XIV.

13 different cotton varieties were grown and characterized for different parameters (Tables 155-160). The average for each of the measured parameter was calculated using the JMP software (Tables 157-162) and a subsequent correlation analysis between the various transcriptome sets (Tables 152-154) and the average parameters, was conducted (Tables 163-165). Results were then integrated to the database.

TABLE 155
Cotton correlated parameters under normal growth
conditions (vectors) (parameters set 1)
Correlated parameter withCorrelation ID
% Canopy coverage (10 DPA) [%] 1
1000 seeds weight (RP) [gr.] 2
Bolls num per plant (RP) [number] 3
Closed Bolls num per plant (RP) [number] 4
Closed Bolls num per plant (SP) [number] 5
Fiber Length (RP) [in] 6
Fiber Length Position 3 (SP) [in] 7
Fiber Strength (RP) [in] 8
Fiber Strength Position 3 (SP) [gr./denier] 9
Fiber yield per boll (RP) [gr.]10
Fiber yield per plant (RP) [gr.]11
Leaf area (10 DPA) [cm2]12
Lower Stem width (H) [mm]13
Micronaire (RP) [scoring 3.7-5]14
Micronaire Position 3 (SP) [scoring 3.7-5]15
Num of lateral branches with open bolls (H)16
[number]
Num of nodes with open bolls (MS) (H)17
[number]
Open Bolls num per plant (SP) [number]18
PAR_LAI (10 DPA) [μmol m−2 S−1]19
Plant height (H) [cm]20
Plant height growth [cm/day]21
Reproductive period duration [number]22
SPAD (17 DPA) [SPAD unit]23
SPAD (pre F) [SPAD unit]24
SPAD rate [SPAD unit/day]25
Seeds yield per plant (RP) [gr.]26
Shoot DW (10 DPA) [gr.]27
Shoot DW (V) [gr.]28
Shoot FW (10 DPA) [gr.]29
Shoot FW (V) [gr.]30
Total Bolls yield (SP) [gr.]31
Upper Stem width (H) [mm]32
bolls num in position 1 [number]33
bolls num in position 3 [number]34
estimated Avr Bolls FW (MB) po_1 (H) [gr.]35
estimated Avr Bolls FW (MB) po_3 (H) [gr.]36
estimated Avr Fiber yield (MB) po_1 (H) [gr.]37
estimated Avr Fiber yield (MB) po_3 (H) [gr.]38
estimated Avr Seeds num (MB) po_1 (H)39
[number]
estimated Avr Seeds num (MB) po_3 (H)40
[number]
estimated Avr Seeds yield (MB) po_1 (H) [gr.]41
estimated Avr Seeds yield (MB) po_3 (H) [gr.]42
Leaf mass fraction (10 DPA) [cm2/gr.]43
Table 155. Provided are the Cotton correlated parameters (vectors). “RP”—Rest of plot; “SP” = selected plants; “gr.” = grams; “H” = Harvest; “in”—inch; “SP”—Selected plants; “SPAD” = chlorophyll levels; “FW” = Plant Fresh weight; “DPA”—Days post anthesis; “mm”—millimeter; “cm”—centimeter; “num”—number; “Avr” = average; “DPA” = days post anthesis; “v” = vegetative stage; “H” = harvest stage;
TABLE 156
Cotton correlated parameters under normal and drought
growth conditions (vectors) (parameters set 2)
Correlation
Correlated parameter withID
% Canopy coverage (10 DPA) [%] 1
1000 seeds weight (RP) [gr.] 2
Bolls num per plant (RP) [number] 3
Closed Bolls num per plant (RP) [number] 4
Closed Bolls num per plant (SP) [number] 5
Fiber Length (RP) [in] 6
Fiber Length Position 1 (SP) [in] 7
Fiber Length Position 3 (SP) [in] 8
Fiber Strength (RP) [in] 9
Fiber Strength Position 3 (SP) [gr./denier]10
Fiber yield (RP) [gr.]11
Fiber yield per boll (RP) [gr.]12
Fiber yield per plant (RP) [gr.]13
Leaf area (10 DPA) [cm2]14
Lower Stem width (H) [mm]15
Micronaire (RP) [scoring 3.7-5]16
Micronaire Position 1 (SP) [scoring 3.7-5]17
Micronaire Position 3 (SP) [scoring 3.7-5]18
Num of lateral branches with open bolls19
(H) [number]
Num of nodes with open bolls (MS) (H)20
[number]
Open Bolls num per plant (SP) [number]21
PAR_LAI (10 DPA) [μmol m−2S−1]22
Plant height (H) [cm]23
Plant height growth [cm/day]24
Reproductive period duration [number]25
SPAD (17 DPA) [SPAD unit]26
SPAD (pre F) [SPAD unit]27
SPAD rate [SPAD unit/day]28
Seeds yield per plant (RP) [gr.]29
Shoot DW (10 DPA) [gr.]30
Shoot DW (V) [gr.]31
Short Fiber Content (RP) [%]32
Stomatal conductance (10 DPA)33
[mmol m−2s−1]
Stomatal conductance (17 DPA)34
[mmol m−2s−1]
Total Bolls yield (RP) [gr.]35
Total Bolls yield per plant (RP) [gr.]36
Uniformity (RP) [%]37
Upper Stem width (H) [mm]38
Carbon isotope discrimination (%)39
Estimated Avr Bolls FW (MB) po_140
(H) [gr.]
Estimated Avr Bolls FW (MB) po_341
(H) [gr.]
Estimated Avr Fiber yield (MB) po_142
(H) [gr.]
Estimated Avr Fiber yield (MB) po_343
(H) [gr.]
Estimated Avr Seeds num (MB) po_1 (H)44
[number]
Estimated Avr Seeds num (MB) po_3 (H)45
[number]
Estimated Avr Seeds yield (MB) po_1 (H)46
[number]
Estimated Avr Seeds yield (MB) po_347
(H) [gr.]
Leaf mass fraction (10 DPA) [cm2/gr.]48
Leaf temp (10 DPA) [° C.]49
Leaf temp (V) [° C.]50
Table 156. Provided are the Cotton correlated parameters (vectors).“RP”—Rest of plot; “SP” = selected plants; “gr.” = grams; “H” = Harvest; “in”—inch; “SP”—Selected plants; “SPAD” = chlorophyll levels; “FW” = Plant Fresh weight; “DPA”—Days post anthesis; “mm”—millimeter; “cm”—centimeter; “num”—number; “Avr” = average; “DPA” = days post anthesis; “v” = vegetative stage; “H” = harvest stage;
TABLE 157
Measured parameters in Cotton accessions (1-7)
under normal conditions (parameters set 1)
Line/
Corr. IDLine-1Line-2Line-3Line-4Line-5Line-6Line-7
184.0194.8692.9389.2384.8887.1579.89
2105.24113.6498.4984.74111.7482.4791.64
311.0119.1111.8315.4922.6211.7813.45
44.23NANANANANA4.56
55.552.083.392.093.072.415.89
61.1591.2791.1461.1171.4111.0730.895
71.1501.2951.1421.1001.4350.9620.842
828.8034.4725.8829.2039.6622.6022.58
929.6036.5526.1729.6339.5320.1021.57
102.301.372.221.811.120.401.80
1125.1826.0025.3727.8725.354.6724.02
127007.676622.345544.748196.028573.308155.295291.27
1312.7913.7111.8312.3812.9710.9212.97
144.313.633.954.374.106.055.01
154.573.893.994.714.755.695.25
161.021.460.810.961.211.691.29
178.1510.909.0011.0410.147.858.48
1811.9822.5611.8018.7527.6516.4215.00
195.676.876.455.865.616.594.09
20112.80110.77100.59115.45103.2698.52121.91
211.8641.9981.7291.7241.6621.7192.086
22121.33108.11108.00103.80102.88108.00126.00
2334.2933.5231.4129.6637.1027.4333.39
2432.1335.3035.9935.8035.0332.9235.89
250.040−0.059−0.255−0.2190.103−0.291−0.142
2632.4934.8632.4835.0636.3226.7433.06
27169.15183.58171.09172.70190.03149.03193.14
2839.2064.6844.7938.0646.2336.6848.20
29842.47792.64804.23766.97745.20725.93922.57
30168.94256.04194.76155.69154.56172.13193.28
31505.37564.21544.17585.47536.54317.18488.33
323.023.643.323.133.232.732.80
335.05.05.05.05.05.05.0
345.05.05.05.05.05.05.0
356.624.887.085.344.083.585.66
366.422.935.954.162.722.735.13
372.531.882.692.021.500.382.04
382.461.132.341.691.060.501.87
3931.5624.1636.0131.3120.9432.5930.77
4031.2315.5033.2926.1314.8731.2532.63
413.332.703.832.992.433.023.03
423.291.583.062.191.642.292.76
4341.1036.4833.9947.9544.5654.7428.14
Table 157. Provided are the values of each of the parameters (as described above) measured in cotton accessions (Line). Growth conditions are specified in the experimental procedure section.
TABLE 158
Measured parameters in additional Cotton accessions (8-13) under normal conditions (parameters set 1)
Line/Corr. ID Line-8Line-9Line-10Line-11Line-12Line-13
185.1983.5584.5395.9095.9283.89
2116.6899.5899.5597.72102.72109.95
321.9413.9211.5617.3314.9812.15
4NANA3.161.11NANA
52.343.753.311.842.743.09
61.3761.1811.1191.1221.1851.179
71.4061.1381.0721.1071.2041.196
842.6328.8725.8728.9830.8229.77
942.7028.3823.6730.3031.9730.53
101.242.231.991.181.742.39
1126.6430.8023.1420.4925.9729.14
128854.545650.676003.346691.849004.977268.00
1313.0714.2611.8414.4812.5714.00
143.883.984.104.554.764.93
154.484.194.514.214.254.74
161.130.800.580.130.150.71
1711.2910.838.7312.339.1910.65
1830.2917.9012.4019.5614.6715.67
195.635.625.337.417.545.51
20102.22127.29105.85151.27117.64119.24
211.6312.0681.8601.5731.8681.942
22102.71104.36126.00145.17109.50106.17
2333.7931.9132.8722.0828.0731.13
2433.6335.2638.1232.7734.4435.33
25−0.083−0.132−0.243−0.515−0.244−0.237
2639.5439.6830.1547.6137.7935.85
27196.45199.76179.43134.30198.46165.53
2850.8151.7139.7035.3442.1242.05
29802.23861.63930.97591.63911.42791.81
30230.40176.68176.53163.68164.66170.94
31620.54715.10421.32531.77405.27715.72
322.993.452.883.403.283.29
335.05.05.0NA5.05.0
345.05.05.05.05.05.0
353.136.376.14NA4.956.95
363.314.715.444.144.606.25
371.142.472.29NA1.772.92
381.191.912.021.121.652.65
3915.4531.4529.29NA25.6234.56
4018.2125.1328.9829.1525.9232.67
411.873.213.00NA2.823.87
422.062.252.652.732.553.56
4345.4128.0533.4847.9445.9544.01
Table 158. Provided are the values of each of the parameters (as described above) measured in cotton accessions (Line). Growth conditions are specified in the experimental procedure section
TABLE 159
Measured parameters in Cotton accessions (1-7)
under normal conditions (parameters set 2)
Line/
Corr.
IDLine-1Line-2Line-3Line-4Line-5Line-6Line-7
184.0194.8692.9389.2384.8887.1579.89
2105.24113.6498.4984.74111.7482.4791.64
311.0119.1111.8315.4922.6211.7813.45
44.23NANANANANA4.56
55.552.083.392.093.072.415.89
61.1591.2791.1461.1171.4111.0730.895
71.1851.2851.1561.1781.4070.9790.958
81.1501.2951.1421.1001.4350.9620.842
928.8034.4725.8829.2039.6622.6022.58
1029.6036.5526.1729.6339.5320.1021.57
11956.33854.00822.67882.33756.67165.00700.33
122.301.372.221.811.120.401.80
1325.1826.0025.3727.8725.354.6724.02
147007.676622.345544.748196.028573.308155.295291.27
1512.7913.7111.8312.3812.9710.9212.97
164.313.633.954.374.106.055.01
174.6753.6654.5935.2004.0636.3005.620
184.5683.8853.9874.7134.7535.6905.247
191.0211.4580.8130.9581.2081.6881.292
208.1510.909.0011.0410.147.858.48
2111.9822.5611.8018.7527.6516.4215.00
225.676.876.455.865.616.594.09
23112.80110.77100.59115.45103.2698.52121.91
241.862.001.731.721.661.722.09
25121.33108.11108.00103.80102.88108.00126.00
2634.2933.5231.4129.6637.1027.4333.39
2732.13235.29735.99435.80035.03332.92135.892
280.040−0.059−0.255−0.2190.103−0.291−0.142
2932.4934.8632.4835.0636.3226.7433.06
30169.15183.58171.09172.70190.03149.03193.14
3139.2064.6844.7938.0646.2336.6848.20
328.086.2210.1710.804.8411.8012.60
33NANANANANANANA
34NANANANANANANA
352379.002148.892050.172156.331934.221221.251773.33
3662.6465.3663.2467.9764.7832.5260.83
3782.4083.5980.9081.0084.2378.4577.32
383.0223.6383.3163.1253.2252.7282.799
39−28.30−28.43−28.22−28.17−28.81−28.77−28.37
406.624.887.085.344.083.585.66
416.422.935.954.162.722.735.13
422.531.882.692.021.500.382.04
432.461.132.341.691.060.501.87
4431.5624.1636.0131.3120.9432.5930.77
4531.2315.5033.2926.1314.8731.2532.63
463.332.703.832.992.433.023.03
473.2921.5823.0642.1861.6362.2932.762
4841.1036.4833.9947.9544.5654.7428.14
4937.05937.03335.73335.55935.55636.08136.081
5030.51030.28130.45430.75030.24630.69830.965
Table 159. Provided are the values of each of the parameters (as described above) measured in cotton accessions (Line). Growth conditions are specified in the experimental procedure section
TABLE 160
Measured parameters in Cotton accessions (8-13) under normal conditions
(parameters set 2)
Line/Corr. IDLine-8Line-9Line-10Line-11Line-12Line-13
185.1983.5584.5395.9095.9283.89
2116.6899.5899.5597.72102.72109.95
321.9413.9211.5617.3314.9812.15
4NANA3.161.11NANA
52.343.753.311.842.743.09
61.3761.1811.1191.1221.1851.179
71.3961.1991.0741.1431.1991.204
81.4061.1381.0721.1071.2041.196
942.6328.8725.8728.9830.8229.77
1042.7028.3823.6730.3031.9730.53
11772.00918.36700.33592.00834.67864.33
121.242.231.991.181.742.39
1326.6430.8023.1420.4925.9729.14
148854.545650.676003.346691.849004.977268.00
1513.0714.2611.8414.4812.5714.00
163.883.984.104.554.764.93
174.0904.2884.3634.0704.6674.637
184.4804.1924.5074.2054.2504.737
191.1250.7950.5830.1250.1460.708
2011.2910.838.7312.339.1910.65
2130.2917.9012.4019.5614.6715.67
225.635.625.337.417.545.51
23102.22127.29105.85151.27117.64119.24
241.632.071.861.571.871.94
25102.71104.36126.00145.17109.50106.17
2633.7931.9132.8722.0828.0731.13
2733.63335.26238.12432.77234.44335.332
28−0.083−0.132−0.243−0.515−0.244−0.237
2939.5439.6830.1547.6137.7935.85
30196.45199.76179.43134.30198.46165.53
3150.8151.7139.7035.3442.1242.05
324.799.1211.578.107.808.55
33NANANANANANA
34NANANANANANA
351920.002326.821794.832030.672211.002239.00
3668.7680.2459.1570.3568.8075.54
3784.6382.0380.6482.0282.5582.73
382.9873.4492.8763.4033.2803.290
39−29.38−28.21−28.81−28.06−28.20−28.57
403.136.376.14NA4.956.95
413.314.715.444.144.606.25
421.142.472.29NA1.772.92
431.191.912.021.121.652.65
4415.4531.4529.29NA25.6234.56
4518.2125.1328.9829.1525.9232.67
461.873.213.00NA2.823.87
472.0582.2542.6522.7312.5513.555
4845.4128.0533.4847.9445.9544.01
4935.20436.16336.75235.60035.58136.648
5030.70430.30029.57930.37929.82730.492
Table 160. Provided are the values of each of the parameters (as described above) measured in cotton accessions (Line). Growth conditions are specified in the experimental procedure section
TABLE 161
Measured parameters in Cotton accessions (1-7)
under drought conditions (parameters set 2)
Line/
Corr.
IDLine-1Line-2Line-3Line-4Line-5Line-6Line-7
168.86068.21576.26165.22379.61277.92471.937
299.1105.494.280.7109.080.492.9
39.32114.4639.81312.45419.8897.97010.608
4NANANANANANA4.237
53.7753.6973.6302.9172.5003.2004.756
61.1001.2201.0881.0731.3900.9310.815
71.1301.2361.1501.0521.4000.9070.941
81.0991.0571.0461.0791.3540.9520.873
927.96735.31324.93329.43340.87817.88021.983
1027.07530.70023.00027.76739.90017.00026.333
11622.0554.3659.3683.3494.776.0467.3
122.0611.0782.0021.8170.8400.2681.435
1319.19817.54219.40320.47116.7132.15515.977
143928.35090.06094.36011.05919.04668.24397.7
1511.43611.72710.82610.82311.0299.89811.269
164.2774.1684.0934.7153.7016.3925.565
174.9784.5834.7335.3674.8337.4205.843
184.6303.8504.3635.1304.5677.3405.523
191.0410.8751.1671.0831.3841.0501.229
206.9807.2347.1677.4178.2335.9757.604
219.75514.09710.62512.23423.21910.27511.938
223.6562.9143.7603.3304.3834.2642.866
2392.987.279.885.671.377.299.4
240.9880.9560.9930.9850.9750.9660.996
25100.299.899.396.292.999.4127.0
2647.37846.82248.48149.34753.48646.37348.633
2736.25638.82639.78540.71839.25637.41239.187
280.3360.1700.2160.2790.4470.2360.281
2924.9023.9725.5427.1027.5216.5424.05
30140.2140.8184.7147.4149.5116.5161.3
3137.2251.2146.9145.5739.9628.1641.39
329.1407.71310.63310.6834.73316.40017.317
33481428582512451610NA
34392370406483224381554
35157313791635159713597451246
3648.6943.5148.2452.1945.9119.3842.61
3781.6282.7680.1780.8584.4376.4275.72
382.8893.0883.0853.1703.2482.8432.605
39−28.081−28.655−28.723−27.658−28.280−27.948−28.233
406.7553.0546.509NANANANA
416.1484.2535.902NANA3.5054.178
422.6271.2032.526NANANANA
432.3431.5672.317NANA0.4731.444
4432.5915.6033.48NANANANA
4533.4421.8234.57NANA32.0627.54
463.4451.6613.553NANANANA
473.2952.3043.163NANA2.5622.156
4828.85637.42733.06540.95639.79733.39726.959
4935.22138.60437.00734.65938.51137.94437.411
5033.03533.62133.04634.63833.09133.35433.038
Table 161. Provided are the values of each of the parameters (as described above) measured in Cotton accessions (Line). Growth conditions are specified in the experimental procedure section
TABLE 162
Measured parameters in additional Cotton accessions (8-13) under drought conditions (parameters set 2)
Line/Corr. IDLine-8Line-9Line-10Line-11Line-12Line-13
171.61568.80159.41881.20879.86060.446
2108.795.598.799.097.2109.6
319.56211.4499.11714.02610.16411.008
4NANA3.977NANANA
51.6253.6254.6742.3003.2063.571
61.3291.1131.0621.0411.1021.130
71.3321.1331.0711.0601.0751.133
81.3241.1090.9941.0731.0771.087
943.12028.11026.06728.36729.18330.000
1043.45027.78022.30028.90031.85030.267
11592.6598.8558.0428.0563.7614.7
120.9971.8242.0231.0051.5932.017
1319.61618.88818.29214.14416.10020.158
146847.04819.73690.07521.96199.35593.0
1511.88912.47310.58311.75811.26411.999
164.0654.3184.2634.7054.9824.687
174.4605.0965.0734.8754.8804.513
183.9754.6344.2774.6905.3504.210
190.8930.9630.8750.2080.3670.875
209.3937.6797.06310.3137.5518.188
2122.80412.6799.89614.54211.65312.771
223.6133.0832.5854.1474.0332.457
2374.897.785.5104.493.093.4
240.9920.9930.9850.9910.9860.984
2592.997.7127.098.898.598.8
2648.83151.21952.13143.78245.76448.989
2738.51939.09941.86737.36537.74437.929
280.3110.3700.2980.0820.1770.308
2930.4025.9023.3031.7423.8630.57
30162.8159.8123.2192.8156.6163.7
3149.8244.3136.4943.2438.0537.82
324.73310.07012.2838.8838.6339.283
33328407510542383556
34219427421384434499
35158315521419153314891606
3652.3949.1346.0050.7242.4257.10
3784.0080.9279.5281.4280.8382.22
383.1703.3732.9093.4603.5023.223
39−28.403−27.778−27.808−26.931−27.501−27.862
403.5855.503NA4.1974.8805.898
412.4295.1675.1433.3624.4545.028
421.3092.106NA1.1291.7532.151
430.8641.9541.8210.9671.6411.859
4418.7429.54NA31.1727.2628.98
4513.9229.1928.1324.8327.7926.01
462.1502.822NA3.1792.7443.195
471.3852.6432.5062.3152.5332.651
4841.85430.63930.06246.04639.53934.155
4936.98536.50737.24836.34136.20035.659
5033.15132.59832.86933.70033.54233.580
Table 162. Provided are the values of each of the parameters (as described above) measured in Cotton accessions (Line). Growth conditions are specified in the experimental procedure section
TABLE 163
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under normal conditions (set 1)
across Cotton accessions
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY450.861.21E−02216LBY450.872.48E−0262
LBY450.796.18E−0267LBY450.768.08E−02618
LBY450.824.69E−0268LBY450.768.24E−02632
LBY450.891.81E−0263LBY450.815.16E−02626
LBY450.721.06E−01630LBY450.911.11E−02631
LBY450.711.16E−0166LBY450.937.33E−03617
LBY450.881.93E−0269LBY450.814.98E−02613
LBY450.786.85E−02611LBY450.745.54E−03943
LBY450.805.58E−02712LBY450.853.28E−0273
LBY460.838.40E−0437LBY460.811.26E−03318
LBY460.913.57E−0538LBY460.719.91E−03312
LBY460.773.21E−0333LBY460.846.39E−0436
LBY460.855.28E−0439LBY460.872.27E−0282
LBY460.911.09E−02816LBY460.872.59E−0287
LBY460.805.66E−0288LBY460.767.90E−02832
LBY460.795.92E−02831LBY460.805.58E−0286
LBY460.833.99E−0289LBY460.726.96E−02232
LBY460.745.93E−02217LBY460.726.71E−02220
LBY460.901.56E−0262LBY460.891.67E−0267
LBY460.862.86E−02618LBY460.731.00E−01643
LBY460.901.53E−0268LBY460.911.10E−0263
LBY460.768.01E−02614LBY460.843.67E−02631
LBY460.843.52E−0266LBY460.891.80E−02617
LBY460.944.74E−0369LBY460.822.37E−02524
LBY460.761.10E−02110LBY460.713.34E−02135
LBY460.703.45E−02137LBY460.761.12E−02111
LBY460.843.80E−02743LBY470.774.47E−02216
LBY470.843.72E−02623LBY470.882.06E−02625
LBY470.774.23E−02519LBY470.755.44E−02520
LBY480.911.28E−0285LBY480.834.20E−02823
LBY480.843.76E−02824LBY480.843.44E−02827
LBY480.739.70E−02825LBY480.824.42E−02829
LBY480.811.47E−03928LBY480.755.01E−03930
LBY480.793.59E−02526LBY480.987.04E−05519
LBY480.736.21E−02517LBY480.736.28E−02520
LBY480.958.67E−0451LBY480.707.77E−02513
LBY480.721.07E−0175LBY480.721.04E−01728
LBY490.862.93E−02818LBY490.721.08E−0188
LBY490.891.77E−0283LBY490.707.58E−03418
LBY490.739.83E−02643LBY490.795.91E−02614
LBY490.711.15E−01615LBY490.717.28E−02526
LBY490.721.96E−02118LBY490.712.15E−0218
LBY490.731.60E−02114LBY490.712.08E−0216
LBY490.853.15E−0272LBY490.758.54E−02738
LBY490.767.97E−02710LBY490.786.44E−02717
LBY490.749.17E−02720LBY490.824.53E−02713
LBY490.796.26E−02736LBY500.882.16E−0265
LBY500.815.12E−02621LBY500.777.60E−02629
LBY500.749.04E−02636LBY500.719.24E−03919
LBY500.887.04E−04114LBY500.721.10E−01714
LBY510.953.24E−03838LBY510.777.28E−02842
LBY510.911.25E−02810LBY510.721.08E−01831
LBY510.901.32E−02836LBY510.726.72E−02226
LBY510.832.13E−02231LBY510.861.28E−02217
LBY510.774.18E−02211LBY510.749.00E−02643
LBY510.882.16E−02612LBY510.721.06E−01718
LBY510.721.03E−01720LBY520.834.23E−02812
LBY520.896.75E−03224LBY520.753.34E−03430
LBY520.711.10E−01643LBY520.745.94E−02543
LBY530.882.08E−02818LBY530.758.50E−0288
LBY530.853.10E−0283LBY530.711.17E−01825
LBY530.739.91E−0286LBY530.711.15E−0189
LBY530.784.01E−02216LBY530.755.02E−02218
LBY530.717.27E−02230LBY530.762.70E−0347
LBY530.771.87E−03418LBY530.852.43E−0448
LBY530.734.50E−0343LBY530.753.39E−0346
LBY530.825.71E−0449LBY530.824.79E−0262
LBY530.853.33E−02622LBY530.711.16E−0168
LBY530.834.16E−02630LBY530.795.89E−02631
LBY530.767.99E−0269LBY530.833.98E−02620
LBY530.745.83E−02510LBY530.711.11E−01535
LBY530.717.48E−02536LBY530.758.53E−02712
LBY530.767.65E−02719LBY530.749.45E−0279
LBY530.824.64E−0271LBY540.824.46E−02818
LBY540.739.87E−0288LBY540.739.64E−0283
LBY540.731.00E−0186LBY540.786.79E−02643
LBY540.739.87E−02619LBY540.783.83E−02522
LBY540.822.33E−02526LBY540.841.79E−02519
LBY540.897.19E−03520LBY540.755.26E−0251
LBY540.767.76E−02718LBY930.719.89E−03322
LBY930.754.87E−03342LBY930.796.41E−02816
LBY930.872.54E−02616LBY930.786.96E−02615
LBY930.758.48E−02629LBY930.726.92E−02514
LBY930.755.42E−02520LBY940.846.36E−04342
LBY940.773.59E−03336LBY940.786.63E−0287
LBY940.834.05E−02818LBY940.721.07E−01812
LBY940.805.37E−0283LBY940.853.09E−0286
LBY940.832.20E−02216LBY940.889.56E−03218
LBY940.812.59E−0228LBY940.851.56E−0223
LBY940.851.49E−02225LBY940.745.66E−02230
LBY940.774.41E−02215LBY940.822.52E−0226
LBY940.707.75E−0229LBY940.716.99E−03414
LBY940.801.01E−03415LBY940.824.53E−02622
LBY940.711.14E−01626LBY940.901.59E−02620
LBY940.805.83E−02613LBY940.812.67E−02521
LBY940.872.52E−02535LBY940.889.34E−03515
LBY940.882.09E−02539LBY940.862.83E−02537
LBY940.862.65E−02541LBY940.787.96E−0312
LBY940.731.72E−0218LBY940.787.30E−0319
LBY940.861.30E−03111LBY940.882.20E−02723
LBY940.985.23E−04724LBY940.758.70E−02729
LBY950.745.84E−03338LBY950.821.09E−03342
LBY950.782.62E−03336LBY950.711.37E−02341
LBY950.783.95E−0222LBY950.832.20E−0227
LBY950.905.37E−03228LBY950.717.25E−02226
LBY950.736.09E−0226LBY950.707.94E−0229
LBY950.881.97E−02643LBY950.853.06E−02612
LBY960.719.21E−03331LBY960.833.89E−0282
LBY960.872.33E−0287LBY960.731.02E−01818
LBY960.805.78E−02823LBY960.882.01E−0288
LBY960.786.95E−02825LBY960.843.69E−0286
LBY960.834.29E−0289LBY960.731.00E−01811
LBY960.711.15E−01624LBY960.936.61E−03632
LBY960.745.53E−0252LBY960.717.14E−02518
LBY960.923.48E−03531LBY960.736.23E−02517
LBY960.783.91E−0259LBY960.717.36E−02511
LBY960.749.45E−02728LBY970.824.81E−02838
LBY970.937.96E−03842LBY970.749.15E−02810
LBY970.805.55E−02840LBY970.961.99E−03836
LBY970.932.34E−03231LBY970.745.59E−02217
LBY970.755.19E−02213LBY970.786.49E−02643
LBY970.755.29E−03918LBY970.736.82E−0398
LBY970.774.44E−02532LBY970.731.71E−02129
LBY970.872.57E−0273LBY970.833.96E−0271
LGN400.711.02E−02314LGN400.945.43E−0382
LGN400.711.15E−0187LGN400.739.94E−02832
LGN400.872.36E−02831LGN400.749.35E−0289
LGN400.824.34E−02811LGN400.725.88E−03428
LGN400.887.61E−05430LGN400.911.12E−02643
LGN400.739.84E−02612LGN400.768.04E−02619
LGN400.754.85E−03922LGN400.929.66E−03722
LGN400.777.10E−0273LGN400.815.10E−02726
LGN400.731.01E−01717LGN400.834.02E−02720
Table 163. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID”—correlation set ID according to the correlated parameters specified in Table 155. “Exp. Set”—Expression set specified in Table 152. “R” = Pearson correlation coefficient; “P” = p value.
TABLE 164
Correlation between the expression level of selected genes of some embodiments of the
invention in additional tissues and the phenotypic performance under normal conditions
(set 2) across Cotton accessions
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY450.891.27E−03125LBY450.771.47E−02132
LBY450.771.52E−02149LBY450.722.75E−02128
LBY450.703.48E−02141LBY460.811.32E−03224
LBY460.853.38E−0318LBY460.853.72E−03132
LBY460.817.86E−03143LBY460.827.06E−0319
LBY460.742.33E−02147LBY460.771.47E−02112
LBY460.791.08E−02121LBY460.827.33E−03140
LBY460.809.43E−0313LBY460.881.54E−0317
LBY460.872.42E−0316LBY460.845.02E−03145
LBY460.826.81E−03144LBY460.817.66E−03142
LBY460.781.28E−02110LBY460.781.23E−02141
LBY460.752.02E−02137LBY460.817.80E−03146
LBY460.771.88E−0338LBY460.753.39E−0337
LBY460.772.15E−0336LBY470.773.56E−03221
LBY470.835.40E−0318LBY470.881.94E−0319
LBY470.853.43E−03121LBY470.891.17E−0313
LBY470.713.10E−02130LBY470.862.65E−0317
LBY470.863.29E−0316LBY470.881.81E−03110
LBY470.835.95E−03137LBY480.737.06E−0328
LBY480.701.11E−0229LBY480.737.25E−0327
LBY480.792.14E−0326LBY480.853.67E−03131
LBY490.754.83E−0328LBY490.792.19E−0329
LBY490.727.65E−0327LBY490.736.96E−0326
LBY490.764.41E−03210LBY490.745.81E−03237
LBY500.701.11E−02239LBY500.881.88E−03132
LBY500.722.97E−02117LBY500.901.10E−03143
LBY500.809.25E−03147LBY500.965.88E−05112
LBY500.908.24E−04140LBY500.916.79E−04145
LBY500.908.87E−04144LBY500.891.16E−03142
LBY500.881.65E−03141LBY500.862.61E−03146
LBY500.772.03E−03348LBY510.818.68E−0318
LBY510.751.91E−0219LBY510.713.23E−02121
LBY510.761.70E−0213LBY510.751.98E−02128
LBY510.844.90E−0317LBY510.835.72E−0316
LBY510.732.54E−02110LBY520.732.54E−02114
LBY520.753.06E−03314LBY530.713.05E−02132
LBY530.722.88E−02143LBY530.752.12E−02112
LBY530.742.22E−02116LBY530.713.22E−02142
LBY530.732.47E−02123LBY530.703.49E−02141
LBY540.773.47E−03221LBY540.782.72E−0323
LBY540.732.65E−02130LBY540.716.34E−0338
LBY540.734.28E−0339LBY540.734.46E−0333
LBY540.744.07E−0336LBY930.791.14E−02132
LBY940.713.28E−02119LBY940.752.09E−02132
LBY940.827.17E−03143LBY940.742.24E−02147
LBY940.818.73E−03112LBY940.752.04E−02140
LBY940.751.91E−02145LBY940.771.50E−02142
LBY940.809.43E−03141LBY940.734.81E−03327
LBY950.713.26E−02125LBY950.909.66E−04132
LBY950.732.68E−02143LBY950.761.81E−02112
LBY950.751.95E−02145LBY950.761.78E−02141
LBY960.727.69E−0328LBY960.745.66E−0329
LBY960.701.11E−0227LBY960.745.87E−0326
LGN400.791.22E−02116
Table 164. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID”—correlation set ID according to the correlated parameters specified in Table 156. “Exp. Set”—Expression set specified in Table 153. “R” = Pearson correlation coefficient; “P” = p value
TABLE 165
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under drought conditions
(drought expression set 2) across Cotton accessions
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY450.757.41E−0342LBY450.794.02E−0348
LBY450.841.27E−0349LBY450.883.92E−04421
LBY450.841.22E−0343LBY450.701.56E−0247
LBY450.711.37E−02420LBY450.911.11E−04410
LBY450.742.29E−0272LBY450.835.19E−0378
LBY450.818.01E−0379LBY450.835.18E−03721
LBY450.781.39E−0273LBY450.751.98E−02714
LBY450.723.02E−0276LBY450.862.78E−03720
LBY450.915.75E−04710LBY450.796.36E−03326
LBY450.921.97E−04321LBY450.887.46E−0433
LBY450.731.65E−02310LBY450.841.70E−02240
LBY450.793.35E−02244LBY450.841.72E−02242
LBY450.831.96E−02246LBY450.793.63E−02128
LBY450.745.57E−0217LBY450.719.53E−03516
LBY450.782.95E−03518LBY460.731.01E−0248
LBY460.803.00E−03431LBY460.812.50E−0349
LBY460.711.39E−0243LBY460.812.77E−0347
LBY460.812.60E−0346LBY460.824.47E−02444
LBY460.711.37E−02410LBY460.859.87E−04437
LBY460.805.56E−02446LBY460.871.11E−03631
LBY460.823.81E−0369LBY460.702.37E−0263
LBY460.741.54E−0267LBY460.741.36E−0266
LBY460.779.40E−03610LBY460.721.77E−02615
LBY460.832.89E−03637LBY460.781.25E−02748
LBY460.721.93E−0239LBY460.712.05E−02329
LBY460.761.14E−0237LBY460.751.18E−0236
LBY460.721.91E−02320LBY460.761.08E−02337
LBY460.717.32E−02148LBY460.861.21E−02138
LBY460.726.69E−02150LBY460.717.59E−02122
LBY460.719.38E−03517LBY470.731.63E−0268
LBY470.702.38E−0269LBY470.751.23E−02621
LBY470.721.79E−0263LBY470.741.38E−0267
LBY470.796.64E−0366LBY470.792.12E−0327
LBY470.764.61E−02148LBY470.774.35E−02150
LBY480.775.85E−03448LBY480.784.87E−03414
LBY480.711.39E−02429LBY480.919.55E−05420
LBY480.736.22E−02741LBY480.851.44E−02124
LBY480.792.21E−0359LBY480.764.38E−03521
LBY480.782.68E−0353LBY480.764.51E−03510
LBY490.861.30E−0368LBY490.721.82E−0269
LBY490.851.85E−03621LBY490.814.26E−0363
LBY490.761.15E−0267LBY490.788.44E−0366
LBY490.712.24E−02620LBY490.788.46E−03610
LBY490.751.30E−02637LBY490.902.19E−03733
LBY490.712.06E−0239LBY490.953.50E−05321
LBY490.912.61E−0433LBY490.712.21E−02310
LBY490.737.28E−03231LBY490.812.57E−02148
LBY490.707.79E−02114LBY490.717.28E−02110
LBY490.801.87E−0358LBY490.782.64E−0359
LBY490.847.23E−04521LBY490.821.12E−0353
LBY490.792.29E−0357LBY490.727.79E−0356
LBY490.782.77E−03520LBY490.764.26E−03510
LBY500.749.19E−02444LBY500.711.13E−01446
LBY500.769.95E−03639LBY500.727.06E−02747
LBY500.818.68E−03750LBY500.812.76E−02745
LBY500.767.94E−02143LBY500.721.08E−01147
LBY500.777.58E−02133LBY500.736.10E−02111
LBY500.701.21E−01145LBY500.749.11E−02141
LBY500.922.06E−05517LBY500.914.01E−05516
LBY500.984.18E−08518LBY510.711.41E−0248
LBY510.784.21E−03431LBY510.758.13E−03448
LBY510.831.66E−0349LBY510.711.36E−0243
LBY510.749.89E−03429LBY510.711.47E−0247
LBY510.757.88E−0346LBY510.766.98E−03410
LBY510.831.45E−03437LBY510.796.43E−0369
LBY510.712.06E−0263LBY510.796.32E−03610
LBY510.805.71E−03637LBY510.713.21E−02722
LBY510.702.38E−02330LBY510.829.81E−04248
LBY510.737.37E−0329LBY510.727.97E−0323
LBY510.755.23E−0219LBY510.745.90E−02121
LBY510.783.95E−0213LBY510.745.78E−02120
LBY510.812.85E−02110LBY510.792.42E−0357
LBY510.701.12E−0256LBY510.755.22E−03537
LBY520.895.97E−04350LBY520.803.20E−02125
LBY520.745.93E−0215LBY520.774.38E−02149
LBY520.792.03E−0358LBY520.746.05E−0359
LBY520.811.49E−03521LBY520.746.06E−0353
LBY520.764.17E−03520LBY520.801.90E−03510
LBY530.713.38E−0272LBY530.732.55E−0279
LBY530.844.45E−03721LBY530.818.37E−0373
LBY530.742.36E−02710LBY530.721.79E−0238
LBY530.721.89E−0239LBY530.861.28E−03321
LBY530.814.56E−0333LBY530.787.21E−03310
LBY530.783.85E−0218LBY530.897.21E−0319
LBY530.973.95E−04121LBY530.941.41E−0313
LBY530.841.70E−02129LBY530.803.19E−0217
LBY530.951.28E−03120LBY530.871.16E−02110
LBY530.726.69E−02115LBY530.745.76E−0358
LBY530.854.57E−0459LBY530.872.19E−04521
LBY530.891.13E−0453LBY530.811.57E−0357
LBY530.763.97E−0356LBY530.719.24E−03520
LBY530.792.43E−03510LBY540.793.51E−0342
LBY540.775.63E−0349LBY540.711.44E−02421
LBY540.803.15E−0343LBY540.721.20E−0247
LBY540.731.15E−02410LBY540.731.11E−02415
LBY540.711.46E−02437LBY540.702.32E−02648
LBY540.787.95E−03620LBY540.761.84E−0272
LBY540.752.10E−0278LBY540.722.89E−0279
LBY540.863.07E−03721LBY540.818.47E−0373
LBY540.761.74E−0277LBY540.781.41E−02710
LBY540.887.21E−04317LBY540.842.17E−03318
LBY540.707.81E−0212LBY540.841.81E−0218
LBY540.923.29E−0319LBY540.958.32E−04121
LBY540.932.31E−0313LBY540.851.51E−02129
LBY540.861.32E−0217LBY540.764.92E−0216
LBY540.932.56E−03120LBY540.889.72E−03110
LBY540.736.24E−02115LBY540.782.89E−0358
LBY540.737.10E−0359LBY540.846.57E−04521
LBY540.792.15E−0353LBY540.763.75E−0357
LBY540.782.71E−0356LBY930.757.99E−03417
LBY930.832.96E−03433LBY930.751.31E−02321
LBY930.731.58E−0233LBY930.774.29E−0212
LBY930.736.50E−0218LBY930.745.55E−0219
LBY930.707.93E−02121LBY930.871.09E−0217
LBY930.774.47E−0216LBY930.792.34E−03516
LBY940.866.78E−04417LBY940.784.35E−03416
LBY940.812.43E−03418LBY940.712.03E−02619
LBY940.774.33E−02747LBY940.717.67E−02741
LBY940.782.74E−03217LBY940.728.48E−03218
LBY940.755.06E−0218LBY940.888.90E−03135
LBY940.783.82E−02138LBY940.717.12E−0217
LBY940.783.76E−0216LBY940.905.62E−03122
LBY940.726.61E−02139LBY940.832.06E−02137
LBY940.854.30E−04516LBY940.719.77E−03518
LBY940.754.72E−03520LBY940.755.39E−03510
LBY950.721.31E−0248LBY950.721.31E−0249
LBY950.761.07E−02617LBY950.741.39E−02616
LBY950.712.02E−02618LBY950.732.46E−02718
LBY950.761.68E−02739LBY950.721.98E−0238
LBY950.871.11E−03321LBY950.814.21E−0333
LBY950.702.28E−0237LBY950.702.42E−02247
LBY950.812.79E−02240LBY950.775.96E−03233
LBY950.726.82E−02244LBY950.841.90E−02242
LBY950.802.93E−02246LBY950.774.24E−02138
LBY950.717.62E−02150LBY950.783.67E−02139
LBY950.717.62E−02113LBY950.719.62E−03532
LBY950.953.58E−06517LBY950.905.38E−05516
LBY950.931.15E−05518LBY960.794.03E−03439
LBY960.721.30E−02420LBY960.922.88E−03743
LBY960.732.51E−02730LBY960.822.38E−02741
LBY960.707.75E−02132LBY960.717.65E−02117
LBY960.764.74E−02134LBY960.941.79E−03116
LBY960.897.29E−03118LBY960.832.20E−02123
LBY960.754.91E−0352LBY960.736.76E−0358
LBY960.792.01E−0359LBY960.801.87E−03521
LBY960.773.72E−0353LBY960.745.44E−03529
LBY960.872.46E−04520LBY960.801.83E−03510
LBY970.711.38E−02448LBY970.802.83E−03438
LBY970.741.37E−02632LBY970.963.32E−0578
LBY970.703.44E−02748LBY970.835.88E−0379
LBY970.909.18E−04721LBY970.881.96E−0373
LBY970.844.50E−0377LBY970.881.52E−0376
LBY970.761.65E−02710LBY970.817.48E−03737
LBY970.751.33E−02545LGN400.721.22E−0242
LGN400.784.76E−0349LGN400.883.70E−04421
LGN400.901.32E−0443LGN400.841.29E−03410
LGN400.712.11E−02624LGN400.821.31E−02643
LGN400.823.31E−03612LGN400.911.21E−02640
LGN400.731.03E−01644LGN400.911.13E−02642
LGN400.733.95E−02641LGN400.767.90E−02646
LGN400.731.56E−0239LGN400.903.62E−04321
LGN400.912.35E−0433LGN400.779.87E−03310
Table 165. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID”—correlation set ID according to the correlated parameters specified in Table 156. “Exp. Set”—Expression set specified in Table 154. “R” = Pearson correlation coefficient; “P” = p value.

In order to produce a high throughput correlation analysis, the present inventors utilized a Bean oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 60,000 Bean genes and transcripts. In order to define correlations between the levels of RNA expression with yield components or plant architecture related parameters or plant vigor related parameters, various plant characteristics of 40 different commercialized bean varieties were analyzed and further used for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Analyzed Bean Tissues

Six tissues [leaf, Stem, lateral stem, lateral branch flower bud, lateral branch pod with seeds and meristem] growing under normal conditions [field experiment, normal growth conditions which included irrigation with water 2-3 times a week with 524 m3 water per dunam (1000 square meters) per entire growth period, and fertilization of 16 units nitrogen per dunam given in the first month of the growth period] were sampled and RNA was extracted as described above.

For convenience, each micro-array expression information tissue type has received a Set ID as summarized in Table 166 below.

TABLE 166
Bean transcriptome expression sets
Expression SetSet ID
Lateral branch flower bud at flowering1
stage under normal growth conditions
Lateral branch pod with seeds at pod2
setting stage under normal
growth conditions
Lateral stem at pod setting stage under3
normal growth conditions
Lateral stem at flowering stage under4
normal growth conditions
Leaf at pod setting stage under normal5
growth conditions
Leaf at flowering stage under normal6
growth conditions
Leaf at vegetative stage under normal7
growth conditions
Meristem at vegetative stage under8
normal growth conditions
stem at vegetative stage under normal9
growth conditions
Table 166: Provided are the bean transcriptome expression sets.
Lateral branch flower bud = flower bud from vegetative branch; Lateral branch pod with seeds = pod with seeds from vegetative branch; Lateral stem = stem from vegetative branch.

Bean Yield Components and Vigor Related Parameters Assessment

40 Bean varieties were grown in five repetitive plots, in field. Briefly, the growing protocol was as follows: Bean seeds were sown in soil and grown under normal conditions until harvest. Plants were continuously phenotyped during the growth period and at harvest (Table 167). The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

The collected data parameters were as follows:

% Canopy coverage—percent Canopy coverage at grain filling stage, R1 flowering stage and at vegetative stage. The % Canopy coverage is calculated using Formula XXXII above.

1000 seed weight [gr.]—At the end of the experiment all seeds from all plots were collected and weighted and the weight of 1000 were calculated.

Days till 50% flowering [days]—number of days till 50% flowering for each plot.

Avr shoot DW—At the end of the experiment, the shoot material was collected, measured and divided by the number of plants.

Big pods FW per plant (PS) [gr.]—1 meter big pods fresh weight at pod setting divided by the number of plants.

Big pods number per plant (PS)—number of pods at development stage of R3-4 period above 4 cm per plant at pod setting.

Small pods FW per plant (PS) [gr.]—1 meter small pods fresh weight at pod setting divided by the number of plants.

Small pods num per plant (PS)—number of pods at development stage of R3-4 period below 4 cm per plant at pod setting.

Pod Area [cm2]—At development stage of R3-4 period pods of three plants were weighted, photographed and images were processed using the below described image processing system. The pod area above 4 cm and below 4 cm was measured from those images and was divided by the number of pods.

Pod Length and Pod width [cm]—At development stage of R3-4 period pods of three plants were weighted, photographed and images were processed using the below described image processing system. The sum of pod lengths/or width (longest axis) was measured from those images and was divided by the number of pods.

Num of lateral branches per plant [value/plant]—number of lateral branches per plant at vegetative stage (average of two plants per plot) and at harvest (average of three plants per plot).

Relative growth rate [cm/day]—the relative growth rate (RGR) of Plant Height was calculated using Formula III above.

Leaf area per plant (PS) [cm2]=Total leaf area of 3 plants in a plot at pod setting. Measurement was performed using a Leaf area-meter.

Specific leaf area (PS) [cm2/gr.]—leaf area per leaf dry weight at pod set.

Leaf form—Leaf length (cm)/leaf width (cm); average of two plants per plot.

Leaf number per plant (PS)—Plants were characterized for leaf number during pod setting stage. Plants were measured for their leaf number by counting all the leaves of 3 selected plants per plot.

Plant height [cm]—Plants were characterized for height during growing period at 3 time points. In each measure, plants were measured for their height using a measuring tape. Height of main stem was measured from first node above ground to last node before apex.

Seed yield per area (H) [gr.]—1 meter seeds weight at harvest.

Seed yield per plant (H) [gr.]—Average seeds weight per plant at harvest in 1 meter plot.

Seeds num per area (H)—1 meter plot seeds number at harvest.

Total seeds per plant (H)—Seeds number on lateral branch per plant+Seeds number on main branch per plant at harvest, average of three plants per plot.

Total seeds weight per plant (PS) [gr.]—Seeds weight on lateral branch+Seeds weight on main branch at pod set per plant, average of three plants per plot.

Small pods FW per plant (PS)—Average small pods (below 4 cm) fresh weight per plant at pod setting per meter.

Small pods num per plant (PS)—Number of Pods below 4 cm per plant at pod setting, average of two plants per plot.

SPAD—Plants were characterized for SPAD rate during growing period at grain filling stage and vegetative stage. Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed 64 days post sowing. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.

Stem width (R2F)[mm]—width of the stem of the first node at R2 flowering stage, average of two plants per plot.

Total pods number per plant (H), (PS)—Pods number on lateral branch per plant+Pods number on main branch per plant at pod setting and at harvest, average of three plants per plot.

Total pods DW per plant (H) [gr.]—Pods dry weight on main branch per plant+Pods dry weight on lateral branch per plant at harvest, average of three plants per plot.

Total pods FW per plant (PS) [gr.]—Average pods fresh weight on lateral branch+Pods weight on main branch at pod setting.

Pods weight per plant (RP) (H) [gr.]—Average pods weight per plant at harvest in 1 meter.

Total seeds per plant (H), (PS)—Seeds number on lateral branch per plant+Seeds number on main branch per plant at pod setting and at harvest. average of three plants per plot.

Total seeds num per pod (H), (PS)—Total seeds num per plant divided in total pods num per plant, average of three plants per plot.

Vegetative FW and DW per plant (PS) [gr/plant]—total weight of the vegetative portion above ground (excluding roots and pods) before and after drying at 70° C. in oven for 48 hours at pod set, average of three plants per plot.

Vigor till flowering [gr./day]—Relative growth rate (RGR) of shoot DW=Regression coefficient of shoot DW along time course (two measurements at vegetative stage and one measurement at flowering stage).

Vigor post flowering [gr./day]—Relative growth rate (RGR) of shoot DW=Regression coefficient of shoot DW measurements along time course (one measurement at flowering stage and two measurements at grain filling stage).

40 different bean varieties lines 1-40 were grown and characterized for 48 parameters as specified above. Among the 40 varieties, 16 varieties are “fine” and “extra fine”. The average for each of the measured parameters was calculated using the JMP software and values are summarized in Tables 168-169 below. Subsequent correlation analysis between the various transcriptome sets and the average parameters was conducted (Table 170).

TABLE 167
Bean correlated parameters (vectors)
Correlation
Correlated parameter withID
% Canopy coverage (GF) [percentage] 1
% Canopy coverage (R1F) [percentage] 2
% Canopy coverage (V) [percentage] 3
% Seed weight (EGF) [gr.] 4
% Seed weight (LGF) [gr.] 5
1000 seed weight [gr.] 6
Avr shoot DW (EGF) [gr.] 7
Avr shoot DW (R2F) [gr.] 8
Avr shoot DW (V) [gr.] 9
Big pods FW per plant (PS) (RP) [gr.]10
Big pods num per plant (PS) [gr.]11
CV(Pod_Area_Below_4 cm)12
[percentage]
CV(Pod_Average_Width) [percentage]13
CV(Pod_Length) [percentage]14
CV(Pod_Length_Below_4 cm)15
[percentage]
Days to 50% flowering [number]16
Height Rate [cm/day]17
Leaf Length [cm]18
Leaf Width [cm]19
Leaf area per plant (PS) [cm2]20
Leaf form [cm/cm]21
Leaf num per plant (PS) [number]22
Mean (Pod_Area) [cm2]23
Mean(Pod_Area_Below_4cm) [cm2]24
Mean(Pod_Average_Width) [cm]25
Mean(Pod_Length) [cm]26
Mean(Pod_Length_Below_4cm) [cm]27
Num of lateral branches per plant (H)28
[number]
Num of lateral branches per plant (V)29
[number]
PAR_LAI (EGF) [μmol m−2S−1]30
PAR_LAI (LGF) [μmol m−2S−1]31
PAR_LAI (R1F) [μmol m−2S−1]32
Plant height (GF) [cm]33
Plant height (V2-V3) [cm]34
Plant height (V4-V5) [cm]35
Pods weight per plant (RP) (H) [gr.]36
SPAD (GF) [SPAD unit]37
SPAD (V) [SPAD unit]38
Seed FW/podsW.O seeds FW (EGF) [gr.]39
Seed FW/podsW.O seeds FW (LGF) [gr.]40
Seed yield per area (H) (RP) [gr.]41
Seed yield per plant (RP) (H) [gr.]42
Seeds num per area (H) (RP) [number]43
Small pods FW per plant (PS) (RP) [gr.]44
Small pods num per plant (PS) [number]45
Specific leaf area (PS) [cm2/gr.]46
Stem width (R2F) [mm]47
Total pods DW per plant (H) [gr.]48
Total pods num per plant (H) [number]49
Total pods num per plant (PS) [number]50
Total pods weight per plant (PS) [gr.]51
Total seeds num per pod (H) [number]52
Total seeds num per pod (PS) [number]53
Total seeds per plant (H) [number]54
Total seeds per plant (PS) [number]55
Total seeds weight per plant (PS) [gr.]56
Vegetative DW per plant (PS) [gr.]57
Vegetative FW per plant (PS) [gr.]58
Vigor post flowering [gr./day]59
Vigor till flowering [gr./day]60
Table 167. Provided are the Bean correlated parameters (vectors). “gr.” = grams;
“SPAD” = chlorophyll levels; “PAR” = Photosynthetically active radiation; “FW” = Plant Fresh weight; “normal” = standard growth conditions; “H” = harvest; “PS” = pod setting; “v” = vegetative stage.
TABLE 168
Measured parameters in bean varieties (lines 1-8)
Line/Corr.
IDLine-1Line-2Line-3Line-4Line-5Line-6Line-7Line-8
188.6691.0280.7690.2984.27NA73.9066.50
289.5978.8772.2890.4973.7876.4591.6372.86
370.5358.5638.9883.6446.9151.8859.8265.28
4NA10.6689.2348.62411.53512.365NA12.053
545.3430.7231.7737.3012.6240.9837.7033.54
694.43117.5969.63123.7566.3193.6872.75107.37
716.19218.65619.29227.82414.44218.02415.57531.030
87.3348.2836.37011.8505.4187.3998.0199.338
90.3020.3290.2400.4430.2060.3490.2430.384
10NA67.4038.2276.4549.4043.69NA49.94
1124.2535.2565.0026.5038.7535.5049.7522.25
120.2800.2630.2110.2250.2170.2310.1960.203
1320.3041.7932.1019.3521.7537.4041.5422.06
1419.3940.6936.5719.0817.3841.3642.8422.62
15NA48.72038.90867.37541.28055.88628.705NA
1655.055.055.048.055.055.048.055.0
170.9740.8490.9070.8530.7201.0620.8141.073
1813.33911.63811.14013.14911.98912.34612.64311.987
198.1618.8347.0278.4227.8548.1337.7817.614
20211.67307.13133.13308.07157.53155.00192.00273.47
211.6411.3151.5851.5631.5281.5171.6261.577
224.7336.0674.7336.1675.0005.4175.8676.133
236.5344.2943.6928.0395.7335.6964.1516.869
241.006.009.503.002.005.008.751.00
250.7140.5930.4800.8250.6190.6790.4710.698
2610.9987.6538.33511.29110.9759.0669.07711.417
270.4840.4320.3860.3210.5320.4190.4000.404
287.9336.2007.9337.0009.6677.5339.2008.867
294.904.905.806.605.105.705.506.00
308.4357.8455.7807.6096.2866.5986.7376.771
316.1465.8424.3774.0134.950NA3.7252.884
323.2703.0611.3285.0061.5811.7442.2513.338
3336.84234.83331.51737.70828.87539.82730.44241.267
344.3884.8003.6755.7503.9254.5004.6756.163
3511.43311.1677.60016.5678.4009.66711.23315.333
3611.66615.19715.96223.07517.06115.12119.48218.878
3740.19236.21937.681NA39.396NANA43.006
3836.00039.43631.41340.14735.75635.01135.75135.133
39NA11.94210.2989.43813.03914.110NA13.705
4092.31044.35125.95160.20514.87551.05861.49151.320
41342.4457.2196.7430.6198.1371.1431.5533.6
426.3068.2914.5329.2024.0186.5537.9179.622
433635.23879.62875.23485.83012.23953.85946.64920.2
440.6222.0641.1460.6020.7961.2680.0010.726
450.5006.0009.5001.5001.0005.0008.7500.500
46226.3222.3213.0207.3257.8238.2248.2237.7
475.7855.8435.3955.8314.9096.0015.2925.536
4812.76420.70613.88630.42315.31010.75421.88123.486
4927.13324.73346.06738.26738.26718.85744.06733.933
5033.06733.92931.58320.93846.00024.33330.26727.333
5132.96105.0461.1433.1541.1981.762.9842.96
523.3154.6852.8143.9273.0933.7673.8723.776
532.6352.3511.0220.6321.6120.8111.5773.148
5490.47111.33128.60151.80138.2070.53168.40128.80
5587.60079.00029.3859.16777.92920.00050.13384.600
56NA3.4480.5000.1732.8770.390NA2.298
5716.29613.52518.80012.63717.0349.98512.28713.708
5891.61365.64761.83371.07177.52756.82747.66470.773
590.9152.0291.6750.8391.355NA1.5241.388
600.4440.4560.3521.1830.3800.3900.4530.579
Table 168. Provided are the values of each of the parameters (as described above) measured in Bean accessions (Line). Growth conditions are specified in the experimental procedure section
TABLE 169
Measured parameters in bean varieties (lines 9-16)
Line/Corr.
IDLine-9Line-10Line-11Line-12Line-13Line-14Line-15Line-16
184.42NA83.89NA83.40NA79.5975.12
283.0686.6382.5383.3584.2173.0771.4168.05
364.0989.9962.3463.4261.2638.2140.2626.24
411.7628.418NANA9.44612.0677.503NA
540.7235.0341.7243.3817.3418.2126.4228.91
6121.34120.7596.79116.1494.5582.93111.7670.74
718.65321.94521.75617.00318.75314.78018.54215.100
86.96611.2096.31311.98810.5757.3517.4385.213
90.3610.5370.2120.4760.3610.2030.2980.209
1049.0676.18NANA61.6623.6789.21NA
1123.2528.2532.0032.7534.1746.5023.5068.75
120.3190.2330.2160.2570.2560.219NA0.199
1330.5628.4447.6927.5626.1343.7429.9621.54
1432.8331.1346.0828.6420.5646.2323.7022.64
1551.24151.20937.34358.23882.13944.704NA71.494
1655.048.055.048.055.048.055.055.0
171.1821.3030.9410.9800.8760.7900.9600.705
1812.78712.17410.38711.15613.10211.79311.63212.882
197.5177.7306.2597.0458.2347.0997.3298.680
20180.73324.07175.80242.20200.60174.00146.8961.67
211.7001.5771.6751.5931.5931.6621.5901.484
224.1337.1677.0006.1885.1334.5335.1113.643
237.3697.5325.6777.8896.2644.2968.2225.230
242.332.006.253.001.679.50NA6.50
250.7180.7390.6630.7250.6860.4980.8110.590
2611.39911.7068.77412.24310.5498.65811.73210.494
270.5610.4990.3970.5270.6900.441NA0.527
289.0006.9418.2676.5338.2006.9338.66710.667
296.006.927.606.408.406.206.004.60
307.0157.3996.2106.4218.4015.1084.6564.557
315.164NA4.777NA4.673NA4.1994.005
323.6286.2973.4973.0682.6581.1371.2830.761
3344.55853.16734.74237.49235.72529.54234.88926.250
345.5386.1634.3256.5254.6103.4634.9833.500
3511.66723.1677.83319.13310.5008.7008.7225.900
3615.89517.87411.82517.00911.16412.83120.15719.529
3742.339NA34.000NA37.814NA31.08534.700
3834.16234.49630.78238.37637.03134.20626.07029.340
3913.3309.191NANA10.43213.7248.111NA
4068.76254.78671.57587.54720.98022.44436.00240.671
41482.2290.8426.6501.1102.6170.9334.6330.6
429.0475.4237.3668.2351.9393.6999.76310.156
433978.62416.54403.04356.21164.42036.82987.24661.8
441.2331.4671.3960.9050.6070.0011.6651.027
451.7502.0006.2502.2500.8339.5000.0003.250
46220.6250.4236.9203.5211.4255.6228.0251.6
475.5446.0545.0865.6466.2795.5465.6374.628
4818.85913.01418.17118.9249.77223.52124.59528.081
4930.00022.05625.20024.06723.53363.57124.53343.933
5022.25023.16725.33324.93332.40026.86722.33343.400
5182.6391.0385.2762.2336.421.7952.4440.39
523.6603.0824.7934.2733.0231.8195.3045.118
532.5150.3553.6524.9302.4841.1151.8281.424
5498.5365.11118.07103.2070.33111.93126.73224.00
5558.54512.53891.06797.06781.40031.71445.42962.286
561.5281.010NANA3.7410.3031.540NA
57NA8.80311.69612.91118.52910.75917.39814.323
5870.86766.76561.76769.11386.77352.760######71.507
590.8381.6460.934NA0.3681.3851.4281.336
600.3450.6890.3880.6350.5420.4190.3550.248
Table 169. Provided are the values of each of the parameters (as described above) measured in bean accessions (Line). Growth conditions are specified in the experimental procedure section
TABLE 170
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under normal conditions across
“fine” and “extra fine” bean varieties
GeneExp. Corr.GeneExp.Corr.
NameRP valueset Set IDNameRP valuesetSet ID
LBY330.915.11E−0546LBY330.764.19E−0349
LBY330.719.29E−03432LBY330.711.01E−02433
LBY330.841.34E−03211LBY330.823.50E−03224
LBY330.831.52E−03245LBY330.784.78E−03249
LBY330.745.54E−02937LBY330.853.82E−03757
LBY330.719.41E−03636LBY340.731.24E−03153
LBY340.721.27E−02427LBY340.761.08E−02212
LBY340.863.30E−03931LBY340.801.68E−03951
LBY340.854.06E−0391LBY340.731.10E−02553
LBY340.751.93E−02710LBY340.779.37E−03752
LBY340.821.91E−03355LBY340.867.19E−04353
LBY340.884.29E−03356LBY350.832.65E−0324
LBY350.842.64E−03239LBY350.701.55E−02546
LBY350.712.10E−02738LBY360.766.12E−03229
LBY360.817.59E−03215LBY360.736.49E−0392
LBY360.812.70E−03555LBY360.866.34E−04553
LBY360.803.20E−03550LBY360.871.44E−05811
LBY360.758.18E−03344LBY360.841.20E−03351
Table 170. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID”—correlation set ID according to the correlated parameters specified in Table 167. “Exp. Set”—Expression set specified in Table 166. “R” = Pearson correlation coefficient; “P” = p value.

In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a foxtail millet oligonucleotide micro-array, produced by Agilent Technologies [World Wide Web (dot) chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 60K foxtail millet genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 15 different foxtail millet accessions were analyzed. Among them, 11 accessions encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Fourteen foxtail millet varieties were grown in 5 repetitive plots, in field. Briefly, the growing protocol was as follows:

1. Regular growth conditions: foxtail millet plants were grown in the field using commercial fertilization and irrigation protocols, which include 283 m3 water per dunam (100 square meters) per entire growth period and fertilization of 16 units of URAN® 32% (Nitrogen Fertilizer Solution; PCS Sales, Northbrook, Ill., USA) (normal growth conditions).

2. Drought conditions: foxtail millet seeds were sown in soil and grown under normal condition until the heading stage (22 days from sowing), and then drought treatment was imposed by irrigating plants with 50% water relative to the normal treatment (171 m3 water per dunam per entire growth period) while maintaining normal fertilization.

Analyzed Foxtail millet tissues—All 15 foxtail millet lines were sample per each treatment. Three tissues [leaf, flower, and stem] at 2 different developmental stages [flowering, grain filling], representing different plant characteristics were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Tables 171-174 below.

TABLE 171
Foxtail millet transcriptome expression sets under drought
conditions at flowering stage
Expression SetSet ID
flower: flowering stage, drought1
leaf: flowering stage, drought2
stem: flowering stage, drought3
Table 171. Provided are the foxtail millet transcriptome expression sets under drought conditions at flowering stage.
TABLE 172
Foxtail millet transcriptome expression sets under drought
conditions at grain filling stage
Expression SetSet ID
grain: grain filling stage, drought4
leaf: grain filling stage, drought5
stem: grain filling stage, drought6
Table 172. Provided are the foxtail millet transcriptome expression sets under drought conditions at grain filling stage.
TABLE 173
Foxtail millet transcriptome expression sets under normal
conditions at flowering stage
Expression SetSet ID
flower: flowering stage, normal1
leaf: flowering stage, normal2
Table 173. Provided are the foxtail millet transcriptome expression sets under normal conditions at flowering stage.
TABLE 174
Foxtail millet transcriptome expression sets under normal
conditions at grain filling stage
Expression SetSet ID
grain: grain filling stage, normal4
leaf: grain filling stage, normal5
stem: grain filling stage, normal6
Table 174. Provided are the foxtail mi let transcriptome expression sets under normal conditions at grain filling stage.

Foxtail millet yield components and vigor related parameters assessment—Plants were continuously phenotyped during the growth period and at harvest (Tables 175-176, below). The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

The following parameters were collected using digital imaging system:

At the end of the growing period the grains were separated from the Plant ‘Head’ and the following parameters were measured and collected:

Average Grain Area (cm2)—A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

Average Grain Length and width (cm)—A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths and width (longest axis) were measured from those images and were divided by the number of grains.

At the end of the growing period 14 ‘Heads’ were photographed and images were processed using the below described image processing system.

Average Grain Perimeter (cm)—At the end of the growing period the grains were separated from the Plant ‘Head’. A sample of ˜200 grains were weighted, photographed and images were processed using the below described image processing system. The sum of grain perimeter was measured from those images and was divided by the number of grains.

Head Average Area (cm2)—The ‘Head’ area was measured from those images and was divided by the number of ‘Heads’.

Head Average Length and width (cm)—The ‘Head’ length and width (longest axis) were measured from those images and were divided by the number of ‘Heads’.

The image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

Additional parameters were collected either by sampling 5 plants per plot or by measuring the parameter across all the plants within the plot.

Head weight (Kg.) and head number (num.)—At the end of the experiment, heads were harvested from each plot and were counted and weighted.

Total Grain Yield (gr.)—At the end of the experiment (plant ‘Heads’) heads from plots were collected, the heads were threshed and grains were weighted. In addition, the average grain weight per head was calculated by dividing the total grain weight by number of total heads per plot (based on plot).

1000 Seeds weight [gr.]—was calculated based on Formula XIV (above).

Biomass at harvest [kg]—At the end of the experiment the vegetative portion above ground (excluding roots) from plots was weighted.

Total dry mater per plot [kg]—Calculated as Vegetative portion above ground plus all the heads dry weight per plot.

Number (num) of days to anthesis—Calculated as the number of days from sowing till 50% of the plot arrives anthesis.

Maintenance of performance under drought conditions—Represent ratio for the specified parameter of Drought condition results divided by Normal conditions results (maintenance of phenotype under drought in comparison to normal conditions).

Data parameters collected are summarized in Tables 175-176, herein below.

TABLE 175
Foxtail millet correlated parameters under
drought and normal conditions (vectors)
Correlated parameter withCorrelation ID
1000 grain weight [gr.] 1
Biomass at harvest [kg] 2
Grain Perimeter 3
Grain area [cm2] 4
Grain length [cm] 5
Grain width [cm] 6
Grains yield per Head (plot) [gr.] 7
Head Area [cm2] 8
Head Width [cm] 9
Head length [cm]10
Heads number11
Num days to Anthesis [days]12
Total Grains yield [gr.]13
Total dry matter [kg]14
Total heads weight [kg]15
Table 175. Provided are the foxtail millet collected parameters under drought and normal conditions.
TABLE 176
Foxtail millet correlated parameters under drought vs normal
conditions (maintenance) (vectors)
Correlated parameter withCorrelation ID
1000 grain weight D/N [gr.]1
Biomass at harvest D/N [kg]2
Grain Perimeter D/N [cm]3
Grain area D/N [cm2]4
Grain length D/N [cm]5
Grain width D/N [cm]6
Grains yield per Head (plot) D/N [gr.]7
Head Area D/N [cm2]8
Head Width D/N [cm]9
Head length D/N [cm]10
Heads num D/N [num]11
Total Grains yield D/N [gr.]12
Total dry matter D/N [kg]13
Total heads weight D/N [kg]14
Table 176. Provided are the foxtail millet collected parameters under drought vs. normal conditions (maintenance).

Fifteen different foxtail millet accessions were grown and characterized for different parameters as described above (Table 175-176). The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 177-182 below. Subsequent correlation analysis between the various transcriptome sets and the average parameters was conducted (Tables 183-188). Follow, results were integrated to the database.

TABLE 177
Measured parameters of correlation IDs in foxtail millet accessions under drought conditions
Line/
Corr.
ID12345678
Line-12.6391.5280.6830.0330.2420.1753.05335.748
Line-23.3293.4590.7220.0370.2440.1948.83250.714
Line-32.6102.8720.6890.0330.2500.1711.33618.400
Line-42.2952.9350.6830.0320.2540.1601.09314.938
Line-52.3043.0220.6900.0330.2570.1621.30917.686
Line-62.6422.6650.6920.0330.2500.1700.4869.911
Line-72.2152.9750.6480.0300.2330.1631.62820.986
Line-81.8370.7650.5690.0240.1940.1563.73739.929
Line-92.5402.6620.6610.0320.2230.1819.90042.149
Line-101.6912.9460.5930.0250.2030.1584.14343.524
Line-113.0963.2300.7200.0370.2610.1782.97526.931
Line-122.5413.3030.6750.0320.2450.1671.30521.229
Line-133.2382.6320.7480.0390.2700.1840.3637.302
Line-142.2450.8860.6590.0300.2420.1591.74113.126
Table 177: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (Line). Growth conditions are specified in the experimental procedure section.
TABLE 178
Additional measured parameters of correlation IDs in foxtail millet accessions under drought conditions
Line/
Corr. ID9101112131415
Line-11.87122.36374.4034.001141.490.5042.888
Line-22.67721.89127.0041.001116.180.7336.087
Line-31.32516.50737.8051.00988.210.7985.325
Line-41.33413.311100.8041.001202.770.6165.402
Line-51.50114.001047.2041.001360.510.7085.570
Line-61.1669.112050.0030.00995.170.4705.280
Line-71.66615.10581.5038.00946.850.6085.121
Line-82.15321.13311.6030.001159.780.3492.288
Line-92.36220.02147.2038.001391.390.4375.834
Line-102.32221.8095.40NA394.510.6454.316
Line-111.54520.80414.4044.001199.500.7485.639
Line-121.59015.85667.8051.00872.480.8725.132
Line-131.2546.452441.0031.00873.940.5235.126
Line-141.7389.18687.5027.001187.980.3612.307
Table 178: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (Line). Growth conditions are specified in the experimental procedure section.
TABLE 179
Measured parameters of correlation IDs in foxtail millet accessions for Maintenance of
performance under drought conditions
Line/
Corr. ID1234567
Line-1107.28563.803101.149103.094100.719102.26689.854
Line-297.44086.662100.635101.059101.132100.031121.191
Line-399.89390.611101.035102.805100.392102.38976.406
Line-497.29181.978100.282100.875100.432100.42383.957
Line-595.73184.030100.570101.565100.177101.33483.228
Line-699.52387.17699.36799.75499.501100.23170.037
Line-7101.38473.573100.868101.139101.033100.21877.372
Line-8102.16366.77199.64899.96199.169100.784111.740
Line-994.53883.21799.83798.886100.70998.15986.386
Line-10102.69175.471101.821102.672102.004100.61257.788
Line-1197.60790.15498.93597.94999.40198.50468.366
Line-1297.81589.81097.98896.37797.77898.54557.646
Line-13101.68689.510100.391101.190100.335100.85883.164
Line-1499.50259.88699.19499.24898.983100.258132.380
Table 179: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (Line). Growth conditions are specified in the experimental procedure section.
TABLE 180
Additional measured parameters of correlation IDs in foxtail millet accessions for
Maintenance of performance under drought conditions
Line/
Corr. ID891011121314
Line-194.50298.17896.69087.55878.74471.70375.808
Line-287.63498.29190.25085.121104.52385.768102.306
Line-393.93299.87893.97285.09864.38282.89085.901
Line-487.35798.42089.95891.42976.74766.68195.835
Line-589.51097.94291.00691.34775.80378.32588.824
Line-6105.26098.755106.44396.15467.41898.01986.916
Line-791.55598.97693.88177.30759.83066.27881.036
Line-897.651101.33796.59479.04688.00477.03081.183
Line-993.05794.53398.09778.88565.27473.53980.433
Line-1088.21095.66393.49872.38242.06264.63582.305
Line-1197.27199.48299.65595.44063.79681.97285.754
Line-1287.804100.35188.132103.31161.13684.96387.702
Line-13102.458100.818101.47187.24771.85583.89091.152
Line-1489.37795.46493.80769.12391.61677.76184.425
Table 180: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (Line). Growth conditions are specified in the experimental procedure section.
TABLE 181
Measured parameters of correlation IDs in foxtail millet accessions under normal conditions
Line/
Corr.
ID12345678
Line-12.4602.3960.6750.0320.2400.1723.39837.828
Line-23.4163.9920.7170.0370.2420.1947.28857.870
Line-32.6133.1700.6820.0330.2490.1671.74919.588
Line-42.3593.5800.6810.0320.2530.1591.30217.100
Line-52.4063.5970.6860.0320.2560.1601.57319.759
Line-62.6553.0570.6970.0340.2520.1700.6959.415
Line-72.1854.0440.6420.0290.2310.1622.10422.922
Line-81.7981.1460.5710.0240.1960.1553.34540.890
Line-92.6863.1980.6620.0320.2210.18411.46045.294
Line-101.6473.9040.5820.0250.1990.1577.16949.341
Line-113.1723.5830.7280.0370.2620.1814.35127.686
Line-122.5983.6780.6890.0330.2500.1692.26324.178
Line-133.1842.9400.7450.0390.2690.1830.4367.127
Line-142.2571.4790.6650.0300.2440.1581.31514.686
Table 181: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (Line). Growth conditions are specified in the experimental procedure section
TABLE 182
Additional measured parameters of correlation IDs in foxtail millet accessions under normal
conditions
Line/
Corr. ID9101112131415
Line-11.90523.13427.634.01449.60.7033.810
Line-22.72324.25149.241.01067.90.8545.950
Line-31.32717.56867.045.01534.90.9636.199
Line-41.35614.791204.041.01567.20.9245.637
Line-51.53215.381146.441.01794.80.9046.271
Line-61.1818.562132.030.01476.10.4806.075
Line-71.68316.08752.238.01582.60.9176.319
Line-82.12421.88394.230.01317.90.4532.819
Line-92.49920.41186.638.02131.60.5947.253
Line-102.42723.32131.851.0937.90.9985.244
Line-111.55320.87434.244.01880.20.9136.576
Line-121.58517.98646.451.01427.11.0275.851
Line-131.2436.352797.831.01216.20.6235.624
Line-141.8209.78994.627.01296.70.4642.732
Table 182: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (Line). Growth conditions are specified in the experimental procedure section.
TABLE 183
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under drought conditions at
flowering stage across foxtail millet varieties
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY30.742.27E−0239LBY30.853.67E−0337
LBY30.722.91E−0238LBY30.778.98E−03114
LBY30.787.18E−0314LBY30.823.64E−0313
LBY550.796.84E−0311LBY550.787.54E−03110
LBY550.787.27E−0316LBY550.731.67E−0218
LBY570.721.17E−02214LBY570.797.01E−03110
LBY590.721.29E−02214LBY590.721.18E−02212
LBY590.721.99E−02113LBY660.781.32E−0234
LBY660.818.20E−0333LBY670.771.54E−0231
LBY670.826.78E−0334LBY670.801.04E−0233
LBY670.871.06E−0311LBY670.888.30E−0414
LBY670.842.31E−0313LBY690.751.88E−0231
LBY690.722.72E−0234LBY690.761.77E−0236
LBY690.757.89E−0326LBY700.833.14E−03111
LBY710.721.88E−02113LBY750.761.13E−0211
LBY750.751.31E−0214LBY770.742.34E−0232
LBY770.895.26E−0411LBY770.731.73E−02110
LBY770.796.33E−0314LBY770.805.12E−0316
LBY770.751.33E−0218LBY810.871.20E−03110
LBY820.742.13E−02312LBY850.842.27E−0311
LBY850.751.30E−02114LBY850.833.08E−0314
LBY850.731.70E−0212LBY850.741.37E−0213
LBY850.731.64E−0216LBY890.731.04E−02213
LGN520.833.00E−03114LGN600.791.15E−02311
Table 183. Provide are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID”—correlation set ID according to the correlated parameters specified in Table 175. “Exp. Set”—Expression set specified in Table 171. “R” = Pearson correlation coefficient; “P” = p value.
TABLE 184
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under drought conditions at grain filling
stage across foxtail millet varieties
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY30.911.20E−02115LBY30.872.60E−0212
LBY30.702.33E−0229LBY30.751.33E−0227
LBY30.702.35E−0238LBY550.843.72E−0211
LBY550.824.62E−0214LBY550.758.61E−0213
LBY550.853.06E−0216LBY550.721.98E−02210
LBY550.721.83E−0229LBY550.861.55E−0327
LBY550.832.89E−0328LBY570.741.44E−0222
LBY570.731.67E−02315LBY570.761.05E−0232
LBY590.787.01E−0212LBY590.702.31E−0227
LBY590.731.60E−0232LBY610.891.86E−02113
LBY630.824.75E−02111LBY640.891.64E−0211
LBY640.843.75E−0214LBY640.758.51E−0213
LBY640.946.09E−0316LBY640.731.76E−0229
LBY650.711.10E−01115LBY650.768.18E−0212
LBY650.712.06E−0222LBY650.814.25E−0329
LBY650.741.52E−0227LBY650.721.85E−02314
LBY650.751.21E−0232LBY660.758.77E−02111
LBY670.842.61E−03313LBY670.741.54E−02314
LB8Y60.712.15E−0229LBY680.731.76E−02315
LB8Y60.731.74E−02312LBY680.761.03E−0232
LBY690.891.83E−0211LBY690.862.97E−02113
LBY690.796.28E−0215LBY690.891.68E−02110
LBY690.805.46E−02112LBY690.936.24E−0314
LBY690.834.00E−02111LBY690.901.42E−0213
LBY690.805.58E−0216LBY690.749.30E−0218
LBY690.712.05E−02211LBY690.731.63E−0231
LBY700.796.07E−02113LBY700.761.09E−02210
LBY700.712.24E−0229LBY700.861.59E−0327
LBY700.814.20E−0328LBY730.701.18E−01113
LBY750.945.65E−03113LBY750.805.92E−0329
LBY780.805.42E−0215LBY780.911.11E−02111
LBY790.721.07E−0114LBY800.702.40E−02210
LBY800.721.81E−0228LBY800.751.33E−02313
LBY810.751.33E−02210LBY810.761.00E−0228
LBY820.796.23E−02110LBY820.862.88E−0219
LBY820.749.18E−0217LBY820.824.33E−0218
LBY820.731.65E−0225LBY830.853.17E−0211
LBY830.777.04E−0214LBY830.929.15E−0316
LBY850.778.50E−03314LBY860.953.64E−03113
LBY870.768.12E−0214LBY870.758.83E−0213
LBY880.888.70E−04314LBY880.895.11E−04312
LBY890.853.06E−0211LBY890.777.23E−0214
LBY890.805.65E−0219LBY890.834.27E−0217
LBY890.937.46E−0316LBY910.796.39E−0219
LB1Y90.749.51E−0218LBY920.901.54E−02113
LBY920.786.74E−02112LBY920.702.30E−0237
LGN520.805.38E−02111LGN600.953.79E−03111
Table 184. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID “—correlation set ID according to the correlated parameters specified in Table 175. “Exp. Set”—Expression set specified in Table 172. “R” = Pearson correlation coefficient; “P” = p value.
TABLE 185
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under normal conditions at flowering
stage across foxtail millet varieties
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY30.766.43E−03112LBY550.741.54E−02213
LBY570.758.25E−03110LBY590.784.68E−03112
LBY620.748.79E−0317LBY650.711.46E−0217
LBY770.861.47E−0329LBY770.805.22E−0327
LBY770.787.84E−0328LBY810.822.07E−03112
LBY840.731.09E−02111LBY880.831.60E−03112
LBY910.766.79E−0317
Table 185. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID “—correlation set ID according to the correlated parameters specified in Table 175. “Exp. Set”—Expression set specified in Table 173. “R” = Pearson correlation coefficient; “P” = p value.
TABLE 186
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under normal conditions at grain
filling stage across foxtail millet varieties
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY30.731.76E−0221LBY30.791.90E−0231
LBY30.772.59E−02313LBY30.743.71E−0234
LBY30.821.18E−0239LBY30.921.30E−0337
LBY30.875.15E−0338LBY30.862.90E−02111
LBY550.731.55E−02213LBY550.779.15E−0329
LBY550.871.11E−0327LBY550.702.40E−0228
LBY550.782.27E−02315LBY550.731.02E−01110
LBY550.953.29E−0319LBY550.953.11E−0317
LBY550.901.42E−0216LBY550.891.88E−0218
LBY570.762.88E−02311LBY570.824.43E−02110
LBY590.761.06E−02215LBY590.814.79E−03213
LBY590.705.09E−02315LBY590.937.50E−04313
LBY590.734.00E−02310LBY590.762.96E−0239
LBY590.921.23E−0337LBY590.893.18E−0338
LBY610.721.91E−0224LBY610.761.05E−02211
LBY610.712.15E−0223LBY610.724.26E−02312
LBY620.767.64E−02114LBY620.891.84E−0215
LBY620.881.98E−02111LBY630.953.18E−03112
LBY630.721.05E−0112LBY640.811.39E−0237
LBY640.801.73E−0236LBY640.705.17E−0238
LBY640.758.47E−0211LBY640.843.53E−02110
LBY640.843.80E−0219LBY640.853.37E−0216
LBY640.882.22E−0218LBY650.724.53E−0235
LBY650.824.77E−02115LBY650.701.20E−0117
LBY670.721.86E−02213LBY670.796.31E−0329
LBY670.953.49E−0527LBY670.712.09E−0228
LBY670.921.42E−03313LBY670.831.01E−02310
LBY670.733.99E−0237LBY670.831.09E−0238
LBY670.834.15E−02113LBY670.768.17E−0212
LBY670.862.75E−02111LBY670.711.11E−0119
LBY680.796.86E−0327LBY680.801.75E−02311
LBY680.739.88E−0211LBY680.953.68E−03110
LBY680.891.62E−0219LBY680.805.44E−0217
LBY680.911.30E−0216LBY680.944.82E−0318
LBY690.787.63E−0327LBY690.724.25E−0237
LBY700.787.24E−0329LBY700.861.60E−0327
LBY700.731.75E−0228LBY700.777.35E−02110
LBY710.862.78E−02110LBY710.834.11E−0219
LBY710.795.89E−0216LBY710.853.38E−0218
LBY720.721.05E−0111LBY720.739.91E−0214
LBY730.768.12E−0215LBY730.721.09E−01111
LBY740.751.32E−0229LBY740.805.44E−02110
LBY750.815.03E−02115LBY750.911.13E−0211
LBY750.891.61E−02113LBY750.833.91E−02110
LBY750.853.10E−0214LBY750.962.74E−0319
LBY750.721.07E−0117LBY750.954.07E−0316
LBY750.953.54E−0318LBY760.734.11E−0239
LBY760.786.64E−02110LBY770.795.90E−0219
LBY770.777.20E−0216LBY770.711.17E−0118
LBY780.711.15E−0112LBY790.945.31E−03110
LBY790.901.36E−0219LBY790.731.02E−0117
LBY790.901.56E−0216LBY790.945.31E−0318
LBY800.894.95E−0429LBY800.842.34E−0327
LBY800.851.89E−0328LBY800.733.90E−0231
LBY800.902.21E−0339LBY800.902.44E−0337
LBY800.792.06E−0238LBY800.786.56E−0217
LBY810.805.22E−0329LBY810.823.85E−0327
LBY810.814.65E−0328LBY810.821.24E−02315
LBY810.811.48E−02313LBY810.714.82E−0237
LBY810.911.25E−0219LBY810.853.35E−0217
LBY810.843.57E−0216LBY810.805.36E−0218
LBY820.714.80E−02314LBY820.768.01E−0211
LBY820.824.44E−02110LBY820.815.01E−0214
LBY820.711.17E−0113LBY820.711.11E−0118
LBY830.805.67E−0211LBY830.749.45E−02110
LBY830.701.21E−0114LBY830.767.86E−0219
LBY830.786.66E−0216LBY830.805.68E−0218
LBY840.749.01E−0215LBY840.721.09E−01111
LBY850.731.56E−02210LBY850.788.15E−0328
LBY850.853.31E−0211LBY850.843.62E−0214
LBY850.824.35E−0212LBY850.777.32E−0213
LBY860.711.13E−01114LBY880.749.34E−02111
LBY890.782.24E−02313LBY890.753.12E−0239
LBY890.952.73E−0437LBY890.753.23E−0236
LBY890.857.56E−0338LBY890.786.48E−0211
LBY890.872.33E−02110LBY890.882.18E−0219
LBY890.882.13E−0216LBY890.911.17E−0218
LBY910.731.02E−0111LGN520.772.44E−0239
LGN520.753.12E−0237LGN520.824.69E−0215
LGN520.701.20E−01111LGN600.814.26E−03213
LGN600.842.50E−03210LGN600.741.38E−0228
LGN600.743.57E−02313LGN600.768.17E−0217
Table 186. Provide are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID “—correlation set ID according to the correlated parameters specified in Table 175. “Exp. Set”—Expression set specified in Table 174. “R” = Pearson correlation coefficient; “P” = p value.
TABLE 187
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance of maintenance of performance under
drought vs normal conditions at flowering stage across foxtail millet varieties
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY560.775.90E−0321LBY570.812.40E−03211
LBY580.826.62E−0331LBY590.831.50E−03211
LBY610.742.35E−02312LBY620.781.35E−0231
LBY620.844.57E−03310LBY620.844.95E−0338
LBY630.721.24E−02212LBY630.874.23E−0427
LBY640.787.91E−0313LBY640.805.26E−0314
LBY640.751.32E−0216LBY650.817.64E−0331
LBY650.741.34E−0211LBY660.785.03E−0327
LBY670.775.30E−0326LBY670.851.93E−03112
LBY680.702.31E−02112LBY680.751.26E−0217
LBY690.742.14E−02310LBY690.722.98E−0238
LBY700.771.57E−02312LBY700.791.08E−0234
LBY700.835.73E−0336LBY700.712.09E−02113
LBY710.814.65E−0313LBY710.731.73E−0214
LBY710.761.04E−0215LBY720.761.67E−02313
LBY720.836.03E−03311LBY730.723.01E−02312
LBY730.826.40E−03314LBY750.713.13E−02314
LBY750.713.14E−0237LBY750.779.49E−0318
LBY770.732.49E−02314LBY780.757.68E−0327
LBY800.761.81E−0231LBY830.805.35E−0313
LBY830.852.03E−0315LBY840.793.70E−0328
LBY850.758.32E−03211LBY850.712.02E−0212
LBY870.721.82E−0211LBY890.796.80E−0315
LBY920.711.43E−0222LBY920.748.72E−03211
LGN520.761.82E−02311LGN520.831.74E−0327
LGN520.702.36E−0212LGN520.731.61E−0219
LGN520.861.38E−03111
Table 187. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID “—correlation set ID according to the correlated parameters specified in Table 176. “Exp. Set”—Expression set specified in Table 171. “R” = Pearson correlation coefficient; “P” = p value.
TABLE 188
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance of maintenance of performance under
drought vs normal conditions at grain filling stage across foxtail millet varieties
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY30.833.99E−0212LBY30.722.00E−02314
LBY560.815.25E−0211LBY560.872.46E−0214
LBY560.901.42E−0216LBY570.911.25E−0214
LBY570.872.35E−0216LBY580.731.03E−0111
LBY580.777.32E−0213LBY580.721.77E−0227
LBY580.702.33E−02312LBY610.843.79E−02112
LBY610.767.93E−0217LBY620.721.08E−01113
LBY620.824.41E−02110LBY620.768.16E−0218
LBY640.748.97E−02112LBY640.777.41E−0217
LBY640.751.29E−02214LBY650.805.42E−0215
LBY680.777.27E−0211LBY680.901.47E−0214
LBY680.962.83E−0316LBY680.871.15E−03212
LBY680.741.46E−02210LBY680.787.16E−0327
LBY680.712.09E−0228LBY680.823.41E−03314
LBY690.767.86E−0213LBY690.953.49E−0319
LBY690.824.41E−0215LBY690.721.08E−0118
LBY690.761.13E−02314LBY690.741.34E−02310
LBY690.779.69E−0338LBY700.805.44E−02112
LBY710.824.58E−0211LBY710.911.30E−0213
LBY710.853.31E−0214LBY720.901.45E−0219
LBY730.805.45E−02111LBY740.824.79E−0211
LBY750.749.19E−0211LBY750.814.97E−0214
LBY750.946.09E−0316LBY750.751.32E−02212
LBY750.731.58E−0227LBY750.741.45E−02312
LBY750.896.48E−0437LBY760.824.53E−0211
LBY760.843.62E−0214LBY760.944.78E−0316
LBY770.861.53E−03312LBY770.702.32E−0237
LBY780.777.17E−0211LBY780.777.15E−02110
LBY780.901.46E−0214LBY780.872.27E−0219
LBY780.901.43E−0216LBY780.853.27E−0218
LBY780.721.87E−0226LBY780.779.44E−0337
LBY800.805.66E−0211LBY800.843.50E−0214
LBY800.936.96E−0316LBY810.721.07E−0113
LBY810.872.45E−0215LBY820.834.26E−0213
LBY820.882.19E−0215LBY830.711.12E−01112
LBY830.768.23E−0217LBY840.936.32E−03111
LBY870.702.36E−02211LBY890.815.12E−02112
LBY890.891.61E−0217LBY910.843.61E−0213
LBY910.824.69E−0215LGN600.749.54E−0211
LGN600.824.33E−02110LGN600.824.63E−0219
LGN600.891.70E−0216LGN600.882.15E−0218
LGN600.779.77E−03210LGN600.702.38E−0224
LGN600.731.59E−0226LGN600.721.83E−0228
Table 188. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID “—correlation set ID according to the correlated parameters specified in Table 176. “Exp. Set”—Expression set specified in Table 172. “R” = Pearson correlation coefficient; “P” = p value.

In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a foxtail millet oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 60K foxtail millet genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 14 different foxtail millet accessions were analyzed. Among them, 11 accessions encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Fourteen Foxtail millet accessions in 5 repetitive plots, in the field. Foxtail millet seeds were sown in soil and grown under normal condition [15 units of Nitrogen (kg nitrogen per dunam)], reduced nitrogen fertilization (2.5-3.0 units of Nitrogen in the soil (based on soil measurements) and reduced stands in the field [i.e., 8 plants per meter per row as compared to “standard” stands of 17 plants per meter row].

Analyzed Foxtail millet tissues—three tissues at different developmental stages [leaf, flower, and stem], representing different plant characteristics, were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Tables 189-190 below.

TABLE 189
Foxtail millet transcriptome
expression sets under normal conditions
Expression SetSet ID
flag leaf grown under Normal conditions, grain filling1
stage
flag leaf grown under Normal conditions, heading stage2
flower grown under Normal conditions, heading stage3
head grown under Normal conditions, grain filling 4
stage
leaf grown under Normal conditions, seedling stage5
low stem grown under Normal conditions, heading 6
stage
mature leaf grown under Normal conditions, grain 7
filling stage
root grown under Normal conditions, seedling stage8
stem grown under Normal conditions, seedling stage9
stem node grown under Normal conditions, grain 10
filling stage
up stem grown under Normal conditions, grain filling 11
stage
up stem grown under Normal conditions, heading stage12
vein grown under Normal conditions, grain filling stage13
Table 189. Provided are the foxtail millet transcriptome expression sets under normal conditions
TABLE 190
Foxtail millet transcriptome
expression sets under low N conditions
Expression SetSet ID
flag leaf grown under Low N conditions, grain filling 1
stage
flag leaf grown under Low N conditions, heading stage2
flower grown under Low N conditions, heading stage3
head grown under Low N conditions, grain filling 4
stage
low stem grown under Low N conditions, heading 5
stage
mature leaf grown under Low N conditions, grain 6
filling stage
stem node grown under Low N conditions, grain 7
filling stage
up stem grown under Low N conditions, grain filling 8
stage
up stem grown under Low N conditions, heading stage9
vein grown under Low N conditions, grain filling stage10
Table 190. Provided are the foxtail millet transcriptome expression sets under low N conditions.

Foxtail millet yield components and vigor related parameters assessment—Plants were continuously phenotyped during the growth period and at harvest (Tables 191-192, below). The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

The following parameters were collected using digital imaging system:

At the end of the growing period the grains were separated from the Plant ‘Head’ and the following parameters were measured and collected:

(i) Average Grain Area (cm2)—A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

(ii) Average Grain Length and width (cm)—A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths and width (longest axis) was measured from those images and was divided by the number of grains.

At the end of the growing period 14 ‘Heads’ were photographed and images were processed using the below described image processing system.

(i) Head Average Area (cm2)—The ‘Head’ area was measured from those images and was divided by the number of ‘Heads’.

(ii) Head Average Length (mm)—The ‘Head’ length (longest axis) was measured from those images and was divided by the number of ‘Heads’.

The image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

Additional parameters were collected either by sampling 5 plants per plot (SP) or by measuring the parameter across all the plants within the plot (RP).

Total Grain Weight (gr.)—At the end of the experiment (plant ‘Heads’) heads from plots were collected, the heads were threshed and grains were weighted. In addition, the average grain weight per head was calculated by dividing the total grain weight by number of total heads per plot (based on plot).

Head weight and head number—At the end of the experiment, heads were harvested from each plot and were counted and weighted (kg.).

Biomass at harvest—At the end of the experiment the vegetative material from plots was weighted.

Dry weight—total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours at harvest.

Total dry mater per plot—Calculated as Vegetative portion above ground plus all the heads dry weight per plot.

Number days to anthesis—Calculated as the number of days from sowing till 50% of the plot arrives anthesis.

Total No. of tillers—all tillers were counted per plot at two time points at the Vegetative growth (30 days after sowing) and at harvest.

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at time of flowering. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.

Root FW (gr.), root length (cm) and No. of lateral roots—one plant per plot (5 repeated plots) were selected for measurement of root weight, root length and for counting the number of lateral roots formed.

Shoot FW (fresh weight)—weight of one plant per plot were recorded at different time-points.

Grain N (H)—% N (nitrogen) content of dry matter in the grain at harvest.

Head N (GF)—% N content of dry matter in the head at grain filling.

Total shoot N—calculated as the % N content multiplied by the weight of plant shoot

Total grain N—calculated as the % N content multiplied by the weight of plant grain yield.

NUE [kg/kg]—was calculated based on Formula LI.

NUpE [kg/kg]—was calculated based on Formula LII.

Grain NUtE—was calculated based on Formula LV.

Total NUtE was calculated based on Formula LIII.

Stem volume—was calculated based on Formula L above.

Stem density—was calculated based on Formula LIV.

Maintenance of performance under low N conditions—Represent ratio for the specified parameter of low N condition results divided by Normal conditions results (maintenance of phenotype under low N in comparison to normal conditions).

Data parameters collected are summarized in Tables 191-192 herein below

TABLE 191
Foxtail millet correlated parameters under normal and
lowN conditions (vectors)-set 1
Correlated parameter withCorrelation ID
1000 grain weight [gr.]1
Grain Perimeter [mm]2
Grain area [mm2]3
Grain length [mm]4
Grain width [mm]5
Grains Yield per plant (RP) [gr.]6
Grains yield (RP) [gr.]7
Heads FW (RP) [gr.]8
Heads FW (SP) [gr.]9
Heads num (SP) [number]10
Heads weight (RP) [gr.]11
Heads weight (SP) [gr.]12
Heads weight per plant (RP) [gr.]13
Leaves num_1 [number]14
Leaves num_2 [number]15
Leaves num_3 [number]16
Leaves num_4 [number]17
Leaves temperature_1 [° C.]18
Leaves temperature_2 [° C.]19
Lower Stem DW (F) [gr.]20
Lower Stem FW (F) [gr.]21
Lower Stem length (F) [cm]22
Lower Stem width (F) [cm]23
Num days to Heading (field) [days]24
Num days to Maturity [days]25
Num lateral roots [number]26
Plant height growth [cm/day]27
Plant height_1 [cm]28
Plant height_2 [cm]29
Plant height_3 [cm]30
Plant height_4 [cm]31
Plant num at harvest [number]32
Plant weight growth [gr./day]33
Root length [cm]34
SPAD (F) [SPAD unit]35
SPAD_1 [SPAD unit]36
SPAD_2 [SPAD unit]37
Shoot DW_1 [gr.]38
Shoot DW_2 [gr.]39
Shoot DW_3 [gr.]40
Tillering_1 [number]41
Tillering_2 [number]42
Tillering_3 [number]43
Upper Stem DW (F) [gr.]44
Upper Stem FW (F) [gr.]45
Upper Stem length (F) [cm]46
Upper Stem width (F) [cm]47
Vegetative DW (RP) [gr.]48
Vegetative DW (SP) [gr.]49
Vegetative DW per plant [gr.]50
Vegetative FW (RP) [gr.]51
Vegetative FW (SP) [gr.]52
Table 191. Provided are the foxtail millet collected parameters under normal conditions. “num” = number; “gr.” = grams; “F” = flowering stage; “H” = harvest stage; “cm” = centimeter; “N” = nitrogen; “GF” = grain filling stage; “FW” = fresh weight, “DW” = dry weight; “num” = number; “NutE” = Nitrogen utilization efficiency; “NUE” = Nitrogen use efficiency; “NHI” = nitrogen harvest index; “NupE” = Nitrogen uptake efficiency; “SPAD” = chlorophyll levels; “Avr” = average; “RGR’ = relative growth rate.
TABLE 192
Foxtail millet additional correlated parameters under normal
and low N conditions (vectors)-set 2
Correlated parameter withCorrelation ID
Grain N (H) [%]1
Head C_vs._N (GF) [ratio]2
Head N (GF) [%]3
N harvest index [ratio]4
NUE [ratio]5
NUpE [ratio]6
Shoot N (H) [%]7
Total grain N (H) [mg]8
Total shoot N (H) [mg]9
Grain C_vs_N (H) [ratio]10
Grain NUtE [ratio]11
Shoot C_vs_N (H) [ratio]12
Total NUtE [ratio]13
Table 192. Provided are the foxtail millet collected parameters under normal conditions. “num” = number; “gr.” = grams; “mg” = milligram; “F” = flowering stage; “H” = harvest stage; “cm” = centimeter; “N” = nitrogen; “GF” = grain filling stage; “FW” = fresh weight, “DW” = dry weight; “num” = number; “NutE” = Nitrogen utilization efficiency; “NUE” = Nitrogen use efficiency; “NHI” = nitrogen harvest index; “NupE” = Nitrogen uptake efficiency; “SPAD” = chlorophyll levels; “vs.” = versus.

Fourteen different foxtail millet accessions were grown and characterized for different parameters as described above. The average for each of the measured parameters was calculated using the JMP software and values are summarized in Tables 193-200 below. Subsequent correlation analysis between the various transcriptome sets and the average parameters was conducted (Tables 201-204). Follow, results were integrated to the database.

TABLE 193
Measured parameters of correlation IDs in foxtail millet
accessions under normal conditions (set 1 parameters)
Line/
Corr. IDLine-1Line-2Line-3Line-4Line-5Line-6Line-7
13.4782.1972.4862.6262.6622.6642.175
20.7220.6750.6850.6870.7190.7230.581
30.03570.02950.03080.03150.03410.03390.0243
40.2450.2560.2560.2510.2680.2740.197
50.1850.1470.1530.1600.1620.1580.157
634.71422.99824.83731.06826.64428.31534.919
71086.0679.2727.6797.6792.4856.8902.8
81.7991.1151.0741.3441.3201.1141.364
90.2450.1710.1770.2710.2090.2270.282
107.294.087.6295.4114.0122.429.8
111.3060.8650.8881.0691.0220.9841.103
120.1810.1040.1170.2450.2130.2270.222
1341.78029.32530.25941.56834.37732.51641.812
144.0675.3334.1335.0675.0004.2673.667
15NANANANANANANA
165.32.92.93.63.94.14.4
177.94.74.55.36.66.47.2
18NANANA27.69828.01928.34528.233
1930.179NANANANANANA
200.708NA0.3040.1560.1530.1980.606
214.213NA1.4270.6850.6400.6432.495
228.350NA10.2538.7506.6887.6388.075
237.240NA4.1573.1203.3343.1795.573
2454.063.459.439.646.040.850.0
25NANANANA75.075.0NA
26NANANANANANANA
272.0971.4191.3212.0981.9342.4451.845
283.7172.9173.2503.5503.4503.6832.917
29NANANANANANANA
3026.62517.67518.00025.82523.35028.60021.525
3145.97531.80029.75046.07542.87553.62540.675
3231.429.629.826.030.030.227.8
332.8493.1185.1114.3532.8753.1102.932
34NANANANANANANA
3560.823NANA54.67749.93557.47258.590
36NANANA54.67749.93557.47258.590
3760.823NANANANANANA
3812.74619.51814.43420.69620.62621.00814.012
3957.05665.70054.29059.78460.76071.99253.975
4088.87097.874162.658135.962100.392103.33297.308
41NANANANANANANA
421.06321.15016.75034.30017.15010.8503.286
431.40010.3007.60010.7006.4009.2002.222
440.806NA0.2410.2440.1350.2080.322
453.244NA0.4820.6700.4340.5031.279
4633.667NA17.66036.25019.60027.87526.175
473.678NA1.7761.5131.5931.4992.553
481.0591.5571.1660.6680.6680.7120.866
490.1260.2310.2060.1080.1120.1280.158
5033.34952.77041.10025.79622.52123.54331.899
513.1863.8532.7771.9792.1521.5742.188
520.4450.5680.5280.3890.2670.374NA
Table 193: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (L = Line). Growth conditions are specified in the experimental procedure section. “NA” = not available
TABLE 194
Measured parameters of correlation IDs in
additional foxtail millet accessions under normal conditions (set 1 parameters)
Line/
Corr. IDLine-8Line-9Line-10Line-11Line-12Line-13Line-14
12.5682.8971.9352.1942.8162.4883.185
20.6650.6840.6160.6160.7070.6690.744
30.02950.03190.02630.02620.03380.03030.0372
40.2420.2300.2120.2210.2590.2410.272
50.1560.1770.1580.1510.1660.1610.174
626.39648.35122.3499.37631.52730.09729.978
7803.61120.8584.4268.0818.8800.8818.4
81.1581.6931.4410.5671.1291.2321.266
90.2500.3950.2450.1300.2540.3120.286
10129.211.013.253.632.860.6323.2
110.9841.2861.0350.4210.9990.9901.023
120.2440.2960.1780.1010.2240.2440.231
1332.10360.60539.91414.61538.41437.47337.417
143.7673.7923.7334.0003.9004.0335.233
15NANANANANANANA
164.13.94.43.33.33.83.7
177.06.75.94.85.25.29.3
1827.962NANANANANA27.535
19NA30.921NANANANANA
200.1680.865NANA0.5480.9340.085
210.7593.128NANA3.6365.4870.393
227.1509.150NANA10.18112.2568.975
233.6106.952NANA6.2296.7512.235
2439.054.071.061.063.061.042.0
2575.0NA98.0109.098.098.0NA
26NANANANANANANA
272.5601.9050.9661.1611.3481.4992.119
283.6304.1172.4673.1003.5833.4333.633
29NANANANANANANA
3030.52526.02516.77517.80019.52520.75024.550
3155.62542.10020.52525.75030.30033.30047.313
3230.823.626.029.426.227.027.4
333.4014.7873.1533.4143.1162.0364.507
34NANANANANANANA
3555.39755.038NANANANA55.900
3655.397NANANANANA55.900
37NA55.038NANANANANA
3818.79614.16611.61619.62018.36410.81317.130
3971.67887.54852.62652.32877.31263.49566.484
40118.420142.37698.228116.824103.24872.938143.646
41NANANANANANANA
4211.8102.2003.0009.5006.8004.45039.100
434.6672.7003.5006.5005.8006.80016.700
440.5320.411NANA0.3730.7670.083
450.9281.491NANA0.6830.8900.213
4638.73824.471NANA21.92516.46921.900
471.9003.191NANA1.9212.6950.966
480.5840.9761.9092.7981.3431.5350.883
490.1160.1820.3400.5660.2880.4420.175
5018.92641.95873.707101.16451.44857.70335.066
511.6792.4205.5165.1713.3393.6322.047
520.3670.5800.9711.1000.7151.0440.442
Table 194: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (L = Line). Growth conditions are specified in the experimental procedure section. “NA” = not available
TABLE 195
Additional measured parameters of correlation
IDs in foxtail millet accessions under normal
conditions (set 2 parameters)
Line/
Corr.
ID1234567
Line-11.76524.7631.7191.8271.82735.5391.871
Line-22.36419.6282.2131.2101.21032.8501.525
Line-3NANANA1.3071.307NANA
Line-41.97618.3242.3001.6351.63534.7171.778
Line-52.07121.6711.9671.4021.40231.3981.989
Line-62.12620.2532.0661.4901.49033.8981.786
Line-72.12716.9832.4451.8381.83841.8221.625
Line-8NANANA1.3891.389NANA
Line-91.78921.7071.9292.5452.54548.8991.526
Line-103.05224.0751.8081.1761.17640.5981.210
Line-11NANANA0.4930.4930.000NA
Line-121.85119.8232.1651.6591.65934.0371.225
Line-13NANANA1.5841.584NANA
Line-141.97118.3962.2651.5781.57835.9042.603
Table 195: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (L = Line). Growth conditions are specified in the experimental procedure section. “NA” = not available
TABLE 196
Additional measured parameters of correlation
IDs in additional foxtail millet accessions
under normal conditions (set 2 parameters)
Line/
Corr.
ID8910111213
Line-1612.84162.40323.7740.55622.2250.101
Line-2543.68680.46817.9920.28627.6210.121
Line-3NANANANANANA
Line-4613.74545.87621.3190.67723.0370.086
Line-5551.78144.78920.3580.59519.7540.082
Line-6602.01042.04819.6840.67319.9870.081
Line-7742.76551.84919.4770.67323.5740.084
Line-8NANANANANANA
Line-9865.04864.02523.1840.75524.9950.097
Line-10682.13889.21713.6450.25131.6790.125
Line-11NANANANANANA
Line-12583.64963.04922.6700.50030.7700.128
Line-13NANANANANANA
Line-14590.90291.26821.5130.32815.6420.095
Table 196: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (L = Line). Growth conditions are specified in the experimental procedure section. “NA” = not available
TABLE 197
Measured parameters of correlation IDs in foxtail
millet accessions under low N conditions (set 1 parameters)
Line/
Corr. IDLine-1Line-2Line-3Line-4Line-5Line-6Line-7
13.7062.3752.5232.7252.7822.8242.297
20.7280.6780.6900.6980.7180.7280.577
30.03560.02990.03110.03240.03390.03430.0240
40.2450.2560.2610.2530.2660.2750.195
50.1850.1490.1520.1630.1620.1590.157
629.85320.46134.43729.74622.31423.01922.590
7936.4622.8923.6819.5726.8683.5622.8
81.5971.0071.3821.4161.1400.8870.966
90.2550.1620.2210.2590.1550.1840.194
108.257.064.6214.069.2117.831.8
111.1780.8071.1681.0650.8790.7680.761
120.1800.1570.1840.2290.1680.1870.143
1337.58826.52537.22338.70526.97825.85827.608
144.2672.6002.8002.5332.6002.2803.567
15NANANANANANANA
165.903.453.203.503.954.154.90
176.503.653.153.903.755.056.15
18NANANA26.29827.09327.80827.653
1930.827NANANANANANA
200.992NA0.2960.1800.1430.2470.553
213.569NA1.5010.6750.5360.9391.928
226.813NA10.4568.3386.7637.4636.438
236.851NA3.8942.9583.1913.1765.075
2454.064.058.640.446.041.651.6
2590.090.090.0NA75.0NANA
26NANANANANANANA
271.6380.9981.0111.8121.4971.8751.376
284.2133.7573.7173.8734.2704.1923.427
29NANANANANANANA
3022.50013.97516.20023.92520.95025.05017.775
3137.07524.12523.54540.30034.32541.90631.375
3231.431.028.627.532.430.028.2
332.2073.4243.3132.2072.8253.7931.746
34NANANANANANANA
3558.57035.91739.05448.28340.65052.32959.100
3657.91935.91739.05448.28340.65052.32959.100
3760.614NANANANANANA
3811.0428.1849.41814.43813.45814.9188.044
3954.66053.94070.22067.83376.02085.67548.275
4067.282101.45095.21466.74084.320100.26555.045
41NANANANANANANA
421.111.012.422.614.010.61.6
431.3009.1008.25017.0008.10012.2502.200
440.749NA0.3130.1820.1810.2520.511
452.654NA0.5890.5430.4850.5481.565
4629.075NA20.06934.92526.95032.65028.313
473.285NA1.7091.3351.5261.5362.581
480.9651.1081.1430.5940.5060.5780.560
490.1250.1610.1830.1110.0800.1150.108
5030.74535.91636.87121.65815.53919.34920.205
513.0332.5482.8622.2191.9661.2081.369
520.3900.3640.4370.3800.1860.321NA
Table 197: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (L = Line). Growth conditions are specified in the experimental procedure section. “NA” = not available.
TABLE 198
Measured parameters of correlation IDs in additional
foxtail millet accessions under low N conditions (set 1 parameters)
Line/
Corr. IDLine-8Line-9Line-10Line-11Line-12Line-13Line-14
12.5913.1522.0272.4833.4482.8523.059
20.6760.6860.6210.6320.7190.6920.752
30.03030.03250.02570.02770.03530.03210.0373
40.2460.2280.2120.2270.2600.2490.276
50.1570.1820.1570.1550.1730.1640.173
620.65837.08825.38720.96833.96434.85026.215
7636.5944.0693.6644.8866.4896.0662.5
80.9801.5201.4750.9921.1511.2760.985
90.1720.3130.2790.1460.2710.3030.226
1099.27.014.630.828.868.2215.3
110.7811.1441.0670.8051.0131.0870.824
120.1770.2420.2070.1210.2410.2630.169
1325.30145.06039.25626.07939.71942.37832.667
143.0003.4003.8332.9003.0673.3673.200
15NANANANANANANA
165.003.954.453.553.753.803.35
175.204.755.153.203.654.303.30
1827.922NANANANANA27.175
19NA30.606NANANANANA
200.1620.955NANA0.4760.9350.079
210.5382.975NANA3.9344.3910.303
227.1638.500NANA9.94411.8448.671
233.1116.431NANA6.5166.0792.133
2439.055.472.461.062.262.442.8
2575.090.098.0109.098.098.0NA
26NANANANANANANA
272.1041.4680.8390.8311.1031.1781.252
283.7234.6633.1073.5674.0073.7533.480
29NANANANANANANA
3024.18820.65615.06314.02517.67517.45019.175
3147.50032.75018.22519.80025.62527.17527.950
3230.825.227.630.626.826.625.5
332.1812.5212.7122.3752.6324.0873.436
34NANANANANANANA
3552.85352.21743.75636.61338.74246.16545.377
3652.85352.32343.75636.61338.74246.16545.377
37NA52.495NANANANANA
3812.8527.8825.6229.9008.6887.60512.704
3964.02054.78047.97534.77540.27561.96092.375
4065.93474.17069.47476.90081.097118.80894.587
41NANANANANANANA
428.51.22.27.84.97.627.0
435.4001.9003.3006.1114.0008.60020.625
440.3390.505NANA0.6830.7560.088
450.7151.525NANA0.8981.3430.204
4638.63822.288NANA27.16918.07326.913
471.7152.823NANA1.9992.5690.896
480.4700.7371.7422.3941.1721.5330.739
490.0780.1320.3260.3490.2830.3840.127
5015.38529.06259.54176.54945.17659.12128.725
511.3461.9874.5484.3672.7512.6701.435
520.2430.4260.8690.6350.6470.7990.326
Table 198: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (L = Line). Growth conditions are specified in the experimental procedure section. “NA” = not available
TABLE 199
Measured parameters of correlation IDs in foxtail millet
accessions under low N conditions (set 2 parameters)
Line/
Corr.
ID1234567
Line-1NANANANA29.853NANA
Line-22.03059.6771.9740.89420.461464.7731.377
Line-31.86123.3241.8400.93134.437688.1971.281
Line-41.59935.9991.1980.92229.746516.0681.864
Line-51.58625.7391.6380.93122.314380.0211.683
Line-61.97133.8101.2290.93623.019484.9001.609
Line-7NANANANA22.590NANA
Line-82.26022.5931.9100.94620.658493.5011.733
Line-91.42922.1121.9200.92537.088572.7571.474
Line-101.75925.3881.7110.86225.387517.9281.200
Line-11NANANANA20.9680.000NA
Line-121.80920.5862.0960.92933.964661.8561.047
Line-13NANANANA34.850NANA
Line-141.94119.8322.1270.90026.215565.1701.963
Table 199: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (L = Line). Growth conditions are specified in the experimental procedure section. “NA” = not available
TABLE 200
Measured parameters of correlation IDs in
additional foxtail millet accessions
under low N conditions (set 2 parameters)
Line/
Corr.
ID8910111213
Line-1NANANANANANA
Line-2415.32049.45320.7410.41428.2380.121
Line-3640.95847.23922.6510.72929.5510.104
Line-4475.70540.36325.7300.73720.6390.100
Line-5353.86626.15526.3680.85322.4500.100
Line-6453.76931.13121.2600.73920.2040.087
Line-7NANANANANANA
Line-8466.83626.66518.8420.77522.1380.073
Line-9529.91342.84428.9280.86625.0480.115
Line-10446.45671.47223.9190.35531.8070.164
Line-11NANANANANANA
Line-12614.57147.28523.2170.71835.7650.120
Line-13NANANANANANA
Line-14508.79356.37721.6700.46520.0760.097
Table 200: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (L = Line). Growth conditions are specified in the experimental procedure section. “NA” = not available
TABLE 201
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under normal conditions across Foxtail
millet varieties (set 1)
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY30.843.73E−02848LBY30.758.91E−02851
LBY30.787.00E−02850LBY30.805.75E−02824
LBY30.731.73E−02348LBY30.779.58E−03324
LBY30.822.33E−02547LBY30.717.23E−02545
LBY30.848.92E−031123LBY30.782.28E−021147
LBY30.796.88E−03116LBY30.902.37E−031120
LBY30.721.83E−02117LBY30.791.95E−021121
LBY30.721.96E−02149LBY30.743.77E−021221
LBY550.739.96E−0288LBY550.732.42E−02411
LBY550.732.68E−0248LBY550.827.35E−0345
LBY550.721.93E−02327LBY550.974.76E−06316
LBY550.774.41E−02335LBY550.722.00E−02331
LBY550.787.24E−03317LBY550.713.28E−0229
LBY550.914.85E−03223LBY550.914.07E−03247
LBY550.771.53E−0226LBY550.917.45E−04211
LBY550.853.49E−03213LBY550.925.08E−0428
LBY550.764.63E−02245LBY550.906.21E−03220
LBY550.732.62E−0227LBY550.812.66E−02221
LBY550.909.19E−0425LBY550.726.67E−02523
LBY550.812.59E−02547LBY550.707.82E−02545
LBY550.717.21E−02520LBY550.712.18E−021113
LBY550.886.75E−0419LBY550.921.74E−0416
LBY550.761.06E−02111LBY550.943.96E−05113
LBY550.742.29E−02120LBY550.741.42E−0217
LBY550.712.14E−02129LBY560.721.03E−0183
LBY560.707.84E−02222LBY570.863.10E−0324
LBY570.771.46E−0223LBY570.826.39E−0322
LBY570.787.47E−03143LBY570.751.16E−02114
LBY570.712.02E−02110LBY570.797.08E−0314
LBY570.779.58E−03142LBY570.742.21E−02952
LBY580.722.87E−02943LBY580.742.31E−0293
LBY580.742.38E−02917LBY580.713.05E−0292
LBY580.717.29E−021235LBY590.761.76E−0244
LBY590.781.27E−02438LBY590.751.24E−0239
LBY590.796.15E−03312LBY590.881.93E−0329
LBY590.853.59E−0326LBY590.761.65E−02211
LBY590.881.69E−03213LBY590.713.28E−02228
LBY590.722.93E−02212LBY590.752.11E−0227
LBY590.713.33E−0225LBY590.803.23E−02547
LBY590.779.22E−03119LBY590.811.55E−021123
LBY590.753.10E−021147LBY590.944.06E−05116
LBY590.852.05E−031111LBY590.851.96E−031113
LBY590.712.12E−02118LBY590.892.83E−031120
LBY590.912.83E−04117LBY590.762.99E−021121
LBY590.712.05E−02115LBY590.745.97E−02135
LBY590.712.25E−02124LBY590.722.84E−02122
LBY590.832.19E−02944LBY590.932.79E−03923
LBY590.707.94E−02947LBY590.908.22E−04948
LBY590.891.14E−03951LBY590.917.74E−04950
LBY590.909.10E−04924LBY590.871.08E−02922
LBY590.871.12E−02920LBY590.844.16E−03949
LBY590.881.59E−03952LBY590.981.71E−04921
LBY590.797.13E−031248LBY590.833.15E−031250
LBY590.761.01E−021224LBY590.714.66E−021222
LBY590.823.55E−031249LBY590.872.08E−031252
LBY610.711.13E−01814LBY610.768.09E−0284
LBY610.721.05E−0182LBY610.742.15E−02448
LBY610.761.63E−02450LBY610.745.52E−02422
LBY610.881.63E−03449LBY610.761.72E−02452
LBY610.959.10E−05543LBY610.771.59E−02510
LBY610.872.40E−0354LBY610.761.73E−0252
LBY610.761.70E−02542LBY610.742.22E−02144
LBY610.771.43E−02146LBY610.817.96E−03943
LBY610.751.89E−021252LBY620.814.83E−02816
LBY620.891.64E−02817LBY620.809.44E−03227
LBY620.791.07E−02231LBY620.891.31E−03217
LBY620.914.15E−03246LBY620.791.09E−02230
LBY620.713.17E−02514LBY620.742.35E−02538
LBY620.826.65E−0399LBY620.809.39E−0396
LBY620.817.64E−03911LBY620.809.08E−03913
LBY620.717.50E−02945LBY620.736.48E−02946
LBY620.742.39E−02930LBY620.761.65E−02912
LBY620.722.89E−0297LBY620.796.02E−031227
LBY620.787.72E−031231LBY620.823.35E−031230
LBY630.833.28E−03343LBY630.888.69E−04310
LBY630.842.23E−03342LBY630.964.26E−05227
LBY630.959.51E−05231LBY630.722.85E−02217
LBY630.923.28E−03246LBY630.941.50E−04230
LBY630.712.05E−021143LBY630.741.51E−021110
LBY630.731.69E−021140LBY630.976.14E−061243
LBY630.823.88E−031214LBY630.888.45E−041210
LBY630.761.06E−02124LBY630.931.07E−041242
LBY640.796.17E−02832LBY640.749.41E−02839
LBY640.742.37E−02250LBY640.751.92E−02224
LBY640.774.39E−02222LBY640.801.76E−021123
LBY640.743.61E−021147LBY640.921.88E−041148
LBY640.921.68E−041151LBY640.921.59E−041150
LBY640.931.16E−041124LBY640.811.51E−021122
LBY640.792.03E−021120LBY640.842.15E−031149
LBY640.925.13E−041152LBY640.858.20E−031121
LBY640.796.68E−03148LBY640.736.24E−02135
LBY640.761.10E−02151LBY640.761.07E−02150
LBY640.804.99E−03124LBY640.908.35E−04122
LBY640.712.13E−02149LBY640.771.45E−02152
LBY640.871.05E−031212LBY650.749.52E−02817
LBY650.752.03E−02417LBY650.731.57E−02327
LBY650.823.91E−03316LBY650.731.59E−02331
LBY650.805.03E−03328LBY650.741.35E−02317
LBY650.751.25E−02330LBY650.751.20E−02339
LBY650.731.65E−02312LBY650.713.20E−02251
LBY650.783.94E−02523LBY650.736.46E−02547
LBY650.717.61E−02521LBY650.805.88E−03119
LBY650.902.36E−031123LBY650.865.75E−031147
LBY650.741.35E−02116LBY650.741.47E−021111
LBY650.851.73E−031113LBY650.796.21E−03118
LBY650.902.38E−031120LBY650.805.05E−031112
LBY650.848.98E−031121LBY650.871.21E−03148
LBY650.793.62E−02135LBY650.833.16E−03151
LBY650.814.37E−03150LBY650.861.37E−03124
LBY650.761.87E−02122LBY650.712.15E−02149
LBY650.791.07E−02152LBY650.817.55E−03932
LBY650.778.85E−031250LBY650.731.64E−021224
LBY650.724.26E−021222LBY650.833.08E−031249
LBY650.881.71E−031252LBY660.832.77E−03343
LBY660.751.31E−02310LBY660.842.12E−03342
LBY660.781.23E−02227LBY660.781.32E−02231
LBY660.732.62E−02210LBY660.722.99E−02230
LBY660.787.27E−031243LBY660.731.56E−021242
LBY670.795.99E−0289LBY670.731.01E−0186
LBY670.805.62E−02811LBY670.911.08E−02813
LBY670.911.10E−0288LBY670.834.23E−0285
LBY670.871.14E−02444LBY670.783.91E−02423
LBY670.736.42E−02447LBY670.853.27E−02435
LBY670.802.94E−02445LBY670.726.75E−02420
LBY670.723.00E−02432LBY670.871.07E−02421
LBY670.833.14E−03343LBY670.712.21E−02310
LBY670.861.54E−0334LBY670.721.99E−02338
LBY670.787.47E−0332LBY670.712.07E−02342
LBY670.722.90E−0221LBY670.861.32E−02244
LBY670.717.51E−02247LBY670.742.33E−02227
LBY670.862.83E−03248LBY670.732.47E−02216
LBY670.781.40E−02251LBY670.732.49E−02231
LBY670.722.77E−02210LBY670.933.14E−04250
LBY670.881.60E−03224LBY670.835.81E−0324
LBY670.923.58E−03245LBY670.722.84E−02217
LBY670.851.51E−02222LBY670.732.70E−0222
LBY670.722.78E−02230LBY670.916.89E−04249
LBY670.874.79E−03252LBY670.774.30E−02546
LBY670.809.60E−03530LBY670.797.05E−03119
LBY670.741.44E−02116LBY670.823.74E−031113
LBY670.771.62E−02122LBY670.801.02E−02916
LBY670.788.29E−031250LBY670.821.24E−021222
LBY670.779.80E−031249LBY670.702.28E−021239
LBY670.817.58E−031252LBY680.707.69E−02421
LBY680.891.20E−03323LBY680.761.80E−02347
LBY680.761.10E−02348LBY680.741.36E−02351
LBY680.751.29E−02350LBY680.842.19E−03324
LBY680.801.02E−02322LBY680.881.79E−03320
LBY680.835.22E−03352LBY680.835.77E−03321
LBY680.774.13E−02222LBY680.783.79E−02544
LBY680.914.32E−03523LBY680.802.94E−02547
LBY680.726.76E−02545LBY680.783.65E−02522
LBY680.898.00E−03520LBY680.906.38E−03521
LBY680.973.84E−04944LBY680.951.05E−03923
LBY680.932.06E−03947LBY680.713.26E−02913
LBY680.914.54E−03945LBY680.974.03E−04920
LBY680.871.06E−02921LBY680.721.99E−021248
LBY680.702.31E−021251LBY680.741.43E−021250
LBY680.761.09E−021224LBY680.787.36E−031249
LBY680.844.97E−031252LBY690.701.19E−0189
LBY690.721.05E−01811LBY690.721.07E−01816
LBY690.843.86E−0288LBY690.722.74E−0249
LBY690.881.81E−03427LBY690.752.07E−02411
LBY690.818.13E−03433LBY690.872.28E−03431
LBY690.836.04E−03440LBY690.732.42E−0248
LBY690.713.23E−02428LBY690.781.33E−02417
LBY690.917.07E−04430LBY690.863.20E−0345
LBY690.861.60E−03327LBY690.851.64E−03331
LBY690.805.33E−03330LBY690.721.97E−02312
LBY690.853.86E−0329LBY690.755.23E−02223
LBY690.905.30E−03247LBY690.932.29E−0426
LBY690.844.14E−03227LBY690.933.41E−04211
LBY690.923.77E−04213LBY690.781.33E−02216
LBY690.835.48E−03231LBY690.951.10E−0428
LBY690.717.41E−02245LBY690.862.82E−03217
LBY690.812.67E−02246LBY690.851.58E−02220
LBY690.924.79E−04230LBY690.844.72E−03212
LBY690.835.50E−0327LBY690.781.23E−0225
LBY690.761.74E−0259LBY690.812.58E−02523
LBY690.801.01E−02511LBY690.751.94E−02513
LBY690.732.57E−02551LBY690.862.64E−0358
LBY690.703.51E−02550LBY690.781.41E−02524
LBY690.764.64E−02520LBY690.761.73E−02549
LBY690.742.18E−02552LBY690.812.88E−02521
LBY690.752.10E−0255LBY690.903.86E−04119
LBY690.871.16E−03116LBY690.814.52E−031111
LBY690.966.44E−061113LBY690.796.49E−03118
LBY690.772.67E−021146LBY690.714.94E−021120
LBY690.712.13E−02115LBY690.796.03E−0319
LBY690.712.27E−0216LBY690.712.05E−02111
LBY690.778.71E−03113LBY690.879.51E−04116
LBY690.818.59E−03145LBY690.835.26E−0399
LBY690.742.24E−0296LBY690.703.57E−02948
LBY690.844.35E−03911LBY690.809.94E−03913
LBY690.844.67E−0398LBY690.722.85E−02950
LBY690.861.33E−02922LBY690.722.82E−02912
LBY690.761.81E−02952LBY690.781.41E−0295
LBY690.761.10E−02129LBY690.721.83E−021233
LBY690.712.19E−021240LBY690.751.31E−021217
LBY690.721.96E−02125LBY700.853.02E−02833
LBY700.872.39E−02810LBY700.796.29E−02840
LBY700.805.80E−02435LBY700.783.68E−02422
LBY700.712.18E−02327LBY700.712.04E−02331
LBY700.915.68E−04543LBY700.722.79E−02527
LBY700.722.77E−02531LBY700.844.47E−03510
LBY700.761.75E−02542LBY700.721.80E−02113
LBY700.787.88E−03148LBY700.779.11E−03151
LBY700.712.28E−02150LBY700.851.86E−03124
LBY700.781.22E−02122LBY700.844.91E−03943
LBY700.713.09E−02914LBY700.835.74E−03910
LBY700.872.53E−03942LBY710.803.15E−02422
LBY710.761.15E−02338LBY710.726.69E−02222
LBY710.802.90E−02523LBY710.809.52E−03524
LBY710.774.21E−02521LBY710.805.86E−031148
LBY710.779.35E−031151LBY710.778.69E−031150
LBY710.814.45E−031124LBY710.823.59E−031149
LBY710.835.19E−031152LBY710.783.73E−02135
LBY710.779.76E−03124LBY710.818.76E−03122
LBY710.712.07E−02149LBY710.761.71E−02948
LBY710.844.74E−03951LBY710.732.61E−02950
LBY710.891.15E−03924LBY710.722.77E−02949
LBY710.761.05E−021233LBY720.711.15E−0183
LBY720.853.94E−03417LBY720.778.67E−03327
LBY720.788.28E−03331LBY720.772.66E−02252
LBY720.713.25E−02516LBY720.793.33E−02546
LBY720.761.80E−02123LBY720.827.28E−03147
LBY720.731.63E−0218LBY720.781.37E−02145
LBY720.791.06E−02122LBY720.703.41E−02120
LBY720.732.65E−02121LBY720.751.93E−0299
LBY720.742.37E−02914LBY720.774.37E−02946
LBY720.713.18E−02912LBY720.731.67E−021243
LBY720.741.54E−021214LBY720.871.07E−031210
LBY720.731.59E−02124LBY720.731.65E−02123
LBY720.741.48E−02122LBY720.852.07E−031242
LBY730.742.31E−0246LBY730.732.43E−02413
LBY730.761.68E−02412LBY730.732.58E−02144
LBY730.783.82E−02946LBY740.843.58E−02816
LBY740.711.18E−0188LBY740.745.51E−02444
LBY740.783.77E−02423LBY740.841.94E−02421
LBY740.731.59E−021148LBY740.741.49E−021151
LBY740.761.06E−021150LBY740.823.50E−031149
LBY740.863.19E−031152LBY740.721.84E−02130
LBY740.822.28E−02946LBY740.809.62E−031252
LBY750.824.41E−02832LBY750.796.40E−02839
LBY750.751.20E−02348LBY750.712.10E−02331
LBY750.702.40E−02310LBY750.804.96E−03350
LBY750.851.66E−03317LBY750.742.36E−02322
LBY750.805.52E−03349LBY750.703.54E−02352
LBY750.774.27E−02244LBY750.871.01E−02247
LBY750.752.07E−02248LBY750.771.55E−02251
LBY750.742.16E−02250LBY750.752.02E−02224
LBY750.896.94E−03245LBY750.761.67E−02249
LBY750.743.57E−02252LBY750.745.48E−02221
LBY750.851.55E−02523LBY750.861.24E−02547
LBY750.771.49E−02548LBY750.752.12E−02551
LBY750.742.30E−02550LBY750.891.45E−03524
LBY750.736.52E−02545LBY750.841.69E−02520
LBY750.832.13E−02521LBY750.796.86E−031148
LBY750.751.18E−021151LBY750.721.86E−021150
LBY750.871.08E−031124LBY750.888.07E−04148
LBY750.805.97E−03151LBY750.842.29E−03150
LBY750.832.68E−03124LBY750.863.10E−03122
LBY750.896.43E−04149LBY750.872.26E−03152
LBY750.751.21E−021248LBY750.779.16E−031250
LBY750.911.79E−031222LBY750.796.42E−031249
LBY750.713.10E−021252LBY760.891.67E−02843
LBY760.739.68E−02814LBY760.721.03E−01833
LBY760.882.05E−02810LBY760.749.54E−02838
LBY760.872.39E−02842LBY760.726.91E−02423
LBY760.774.32E−02447LBY760.941.97E−04448
LBY760.941.97E−04451LBY760.901.04E−03450
LBY760.881.57E−03424LBY760.802.94E−02420
LBY760.781.32E−02449LBY760.771.47E−02452
LBY760.755.11E−02421LBY760.722.90E−0229
LBY760.818.22E−0326LBY760.742.23E−02250
LBY760.754.99E−02220LBY760.893.24E−03252
LBY760.826.30E−03527LBY760.826.36E−03531
LBY760.713.14E−0254LBY760.844.46E−03538
LBY760.726.92E−02546LBY760.742.14E−02530
LBY760.741.46E−02116LBY760.761.00E−021148
LBY760.751.27E−021113LBY760.761.07E−021150
LBY760.823.55E−031124LBY760.857.49E−031122
LBY760.779.67E−031149LBY760.742.22E−021152
LBY760.826.76E−03144LBY760.818.52E−03123
LBY760.881.77E−03147LBY760.871.14E−0316
LBY760.751.16E−02111LBY760.787.80E−03113
LBY760.814.50E−0318LBY760.891.12E−03145
LBY760.818.64E−03120LBY760.721.92E−0217
LBY760.801.04E−02121LBY760.717.37E−02946
LBY760.753.35E−021223LBY760.833.29E−03126
LBY760.849.60E−031220LBY760.713.14E−021252
LBY770.741.52E−02317LBY770.771.53E−0229
LBY770.752.11E−0226LBY770.742.38E−02211
LBY770.752.00E−02213LBY770.713.27E−0227
LBY770.713.20E−02551LBY770.921.35E−041148
LBY770.851.82E−031151LBY770.931.19E−041150
LBY770.842.58E−031124LBY770.902.13E−031122
LBY770.921.31E−041149LBY770.881.68E−031152
LBY770.912.62E−04148LBY770.783.67E−02135
LBY770.861.47E−03151LBY770.895.99E−04150
LBY770.887.44E−04124LBY770.835.50E−03122
LBY770.943.89E−05149LBY770.925.06E−04152
LBY780.742.23E−02417LBY780.713.06E−02449
LBY780.814.61E−03327LBY780.814.33E−03316
LBY780.814.70E−03331LBY780.713.09E−02346
LBY780.832.89E−03330LBY780.817.61E−03227
LBY780.791.06E−02231LBY780.703.50E−02217
LBY780.717.19E−02246LBY780.827.22E−03230
LBY780.841.82E−02547LBY780.713.21E−02524
LBY780.707.90E−02545LBY780.726.79E−02520
LBY780.778.85E−0319LBY780.741.54E−02110
LBY780.761.01E−02117LBY780.762.94E−021247
LBY780.894.71E−04126LBY780.787.82E−031211
LBY780.741.52E−021213LBY780.761.07E−021217
LBY780.821.19E−021220LBY780.721.82E−021212
LBY780.912.33E−04127LBY790.748.99E−0288
LBY790.741.42E−0232LBY790.731.58E−021151
LBY790.721.77E−021150LBY790.787.82E−031149
LBY790.881.52E−031152LBY790.826.29E−03948
LBY790.818.59E−03951LBY790.853.93E−03950
LBY790.745.96E−02922LBY790.818.64E−03949
LBY790.862.92E−03952LBY790.823.69E−031248
LBY790.958.70E−041235LBY790.842.13E−031251
LBY790.823.91E−031250LBY790.731.62E−021224
LBY790.787.51E−031249LBY790.881.72E−031252
LBY800.758.69E−02817LBY800.752.08E−0249
LBY800.853.88E−0346LBY800.703.42E−02433
LBY800.742.33E−02413LBY800.713.15E−02439
LBY800.771.56E−0247LBY800.721.97E−0239
LBY800.891.16E−03227LBY800.909.11E−04231
LBY800.844.99E−03230LBY800.822.34E−02547
LBY800.771.56E−0256LBY800.809.43E−03511
LBY800.771.55E−02513LBY800.791.05E−0258
LBY800.812.78E−02545LBY800.736.24E−02520
LBY800.761.70E−0257LBY800.712.17E−02119
LBY800.797.12E−03116LBY800.721.84E−021113
LBY800.734.14E−021120LBY800.823.91E−0319
LBY800.842.50E−0316LBY800.805.06E−03113
LBY800.761.79E−0299LBY800.783.87E−02947
LBY800.791.09E−0296LBY800.742.18E−02911
LBY800.826.85E−03913LBY800.742.21E−0298
LBY800.841.75E−02945LBY800.726.77E−02920
LBY800.787.68E−03129LBY800.814.58E−03126
LBY800.721.98E−021213LBY810.721.07E−01817
LBY810.702.33E−02330LBY810.814.41E−03312
LBY810.781.39E−02524LBY810.796.81E−03119
LBY810.801.67E−021123LBY810.753.18E−021147
LBY810.814.56E−03116LBY810.787.36E−031111
LBY810.871.21E−031113LBY810.741.47E−02118
LBY810.893.27E−031120LBY810.772.59E−021121
LBY810.752.00E−02147LBY810.787.48E−03111
LBY810.787.95E−03113LBY810.833.05E−0318
LBY810.761.71E−02120LBY810.751.32E−021250
LBY810.733.99E−021222LBY810.761.06E−021249
LBY810.826.75E−031252LBY820.872.27E−0286
LBY820.721.06E−0183LBY820.745.98E−02447
LBY820.736.22E−02445LBY820.814.92E−0331
LBY820.742.40E−02344LBY820.731.65E−02316
LBY820.781.36E−02345LBY820.722.01E−0235
LBY820.722.80E−02511LBY820.707.92E−02546
LBY820.742.16E−02512LBY820.781.27E−021152
LBY820.727.03E−02946LBY820.814.63E−03129
LBY820.801.83E−021223LBY820.945.54E−05126
LBY820.702.38E−021211LBY820.861.45E−031213
LBY820.734.12E−021222LBY820.883.58E−031220
LBY820.805.94E−03127LBY820.753.30E−021221
LBY830.833.11E−03316LBY830.764.79E−02335
LBY830.755.36E−02547LBY830.779.07E−031143
LBY830.904.49E−041110LBY830.721.83E−021142
LBY840.739.91E−0284LBY840.823.70E−03343
LBY840.761.04E−02314LBY840.702.31E−02310
LBY840.823.68E−03342LBY840.732.61E−02510
LBY840.861.25E−02546LBY840.736.06E−021135
LBY840.844.39E−03144LBY840.703.52E−02123
LBY840.827.04E−03147LBY840.712.21E−02111
LBY840.835.49E−03145LBY840.722.89E−021252
LBY850.901.02E−03214LBY850.732.71E−02230
LBY850.774.26E−02523LBY850.812.86E−02547
LBY850.722.86E−02551LBY850.809.11E−03524
LBY850.736.43E−02520LBY850.702.34E−021150
LBY850.778.66E−031124LBY850.705.13E−021122
LBY850.751.18E−02148LBY850.751.18E−02150
LBY850.796.18E−03124LBY850.801.02E−02122
LBY850.871.09E−03149LBY850.835.34E−03152
LBY850.841.80E−02944LBY850.783.95E−02923
LBY850.888.24E−03947LBY850.713.33E−02950
LBY850.822.25E−02945LBY850.851.55E−02920
LBY850.781.39E−02952LBY850.887.82E−041248
LBY850.851.87E−031251LBY850.931.17E−041250
LBY850.805.42E−031224LBY850.866.59E−031222
LBY850.921.73E−041249LBY850.958.82E−051252
LBY860.739.84E−0281LBY860.777.44E−0284
LBY860.921.02E−0283LBY860.872.48E−0282
LBY860.711.11E−01839LBY860.731.00E−0187
LBY860.916.76E−04352LBY860.791.86E−02252
LBY860.908.00E−04543LBY860.932.79E−04510
LBY860.713.29E−0253LBY860.872.16E−03542
LBY860.761.12E−021127LBY860.761.13E−021131
LBY860.741.42E−021130LBY860.805.80E−03148
LBY860.833.11E−03150LBY860.887.92E−04124
LBY860.891.37E−03122LBY860.861.33E−03149
LBY860.827.34E−03152LBY870.711.10E−0186
LBY870.703.44E−02417LBY870.752.09E−02452
LBY870.731.62E−02327LBY870.741.54E−02331
LBY870.779.18E−03330LBY870.921.50E−041148
LBY870.745.62E−021135LBY870.903.73E−041151
LBY870.931.01E−041150LBY870.833.00E−031124
LBY870.893.38E−031122LBY870.968.57E−061149
LBY870.958.94E−051152LBY870.702.41E−02129
LBY870.805.26E−031233LBY870.712.06E−021213
LBY880.983.85E−0488LBY880.796.65E−03351
LBY880.745.73E−02223LBY880.726.89E−02221
LBY880.863.30E−03524LBY880.731.58E−02124
LBY880.791.05E−02122LBY880.722.98E−02948
LBY880.732.42E−02950LBY880.861.30E−02922
LBY880.703.47E−02949LBY880.791.13E−02952
LBY880.779.62E−031248LBY880.731.55E−021251
LBY880.814.14E−031250LBY880.741.46E−021224
LBY880.761.09E−021249LBY880.862.89E−031252
LBY890.739.62E−0288LBY890.721.09E−01852
LBY890.751.87E−02344LBY890.713.07E−02347
LBY890.805.72E−03316LBY890.822.43E−02335
LBY890.826.22E−03345LBY890.803.19E−02547
LBY890.832.88E−031110LBY890.712.02E−021142
LBY890.742.39E−021252LBY900.758.86E−02851
LBY900.758.38E−02850LBY900.701.19E−01824
LBY900.833.92E−02849LBY900.901.44E−02852
LBY900.805.53E−03348LBY900.741.44E−02351
LBY900.723.04E−02322LBY900.742.23E−02250
LBY900.751.95E−02224LBY900.871.16E−02222
LBY900.853.44E−03249LBY900.772.52E−02252
LBY900.721.88E−021148LBY900.741.42E−021151
LBY900.741.51E−021150LBY900.761.00E−021149
LBY900.818.45E−031152LBY900.721.77E−02148
LBY900.712.24E−02150LBY900.796.17E−03124
LBY900.732.68E−02122LBY900.823.49E−03149
LBY900.713.24E−02152LBY900.751.21E−021248
LBY900.783.73E−021235LBY900.833.17E−031251
LBY900.778.63E−031250LBY900.751.28E−021249
LBY900.826.30E−031252LBY900.715.04E−021221
LBY910.721.10E−01848LBY910.812.84E−02444
LBY910.703.55E−02448LBY910.721.09E−01435
LBY910.827.23E−03451LBY910.889.41E−03445
LBY910.732.68E−02452LBY910.722.95E−02943
LBY910.932.47E−04910LBY910.917.70E−04942
LBY910.705.27E−021222LBY910.751.32E−021249
LBY920.721.09E−0188LBY920.761.80E−02416
LBY920.758.55E−02435LBY920.821.23E−021123
LBY920.733.85E−021147LBY920.888.74E−041113
LBY920.712.28E−02118LBY920.911.46E−031120
LBY920.743.43E−021121LBY920.808.92E−03122
LBY920.761.15E−021250LBY920.724.37E−021220
LBY920.761.12E−021249LBY920.924.14E−041252
LGN520.767.80E−02814LGN520.711.12E−01849
LGN520.721.06E−01852LGN520.711.15E−0185
LGN520.871.04E−03343LGN520.751.32E−02310
LGN520.851.84E−03342LGN520.972.18E−05227
LGN520.964.90E−05231LGN520.742.27E−02217
LGN520.871.11E−02246LGN520.932.74E−04230
LGN520.887.74E−041110LGN520.796.14E−031142
LGN520.722.71E−02952LGN520.842.11E−031243
LGN520.779.66E−031214LGN520.823.33E−031210
LGN520.851.92E−03124LGN520.702.28E−021238
LGN520.753.14E−021246LGN520.731.74E−02122
LGN520.833.16E−031242LGN600.879.92E−03444
LGN600.717.55E−02423LGN600.906.09E−03447
LGN600.713.16E−02411LGN600.742.32E−02413
LGN600.771.44E−0248LGN600.965.57E−04445
LGN600.732.47E−02248LGN600.713.33E−02250
LGN600.818.79E−03224LGN600.897.27E−03222
LGN600.801.01E−02249LGN600.764.87E−02544
LGN600.861.23E−02523LGN600.851.50E−02520
LGN600.932.40E−03521LGN600.814.19E−031248
LGN600.832.92E−031251LGN600.879.49E−041250
LGN600.788.33E−031224LGN600.782.11E−021220
LGN600.851.74E−031249LGN600.924.26E−041252
Table 201. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID “—correlation set ID according to the correlated parameters specified in Table 191. “Exp. Set”—Expression set specified in Table 189. “R” = Pearson correlation coefficient; “P” = p value
TABLE 202
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under normal conditions (set 2
parameters) across Foxtail millet varieties
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY3 0.724.40E−02312LBY3 0.717.31E−0227
LBY3 0.726.53E−02211LBY3 0.753.25E−0252
LBY3 0.714.66E−02512LBY3 0.848.66E−0358
LBY3 0.821.31E−0256LBY3 0.796.88E−03115
LBY3 0.796.88E−03114LBY3 0.753.33E−021111
LBY3 0.714.86E−02112LBY3 0.811.37E−02113
LBY3 0.811.44E−0213LBY550.771.53E−0225
LBY550.771.53E−0224LBY550.866.15E−03118
LBY550.875.42E−03116LBY550.921.74E−0415
LBY550.857.39E−0318LBY550.921.74E−0414
LBY550.831.08E−0216LBY550.732.42E−02128
LBY560.801.04E−02413LBY560.743.43E−02313
LBY560.831.13E−0213LBY570.791.16E−0247
LBY570.791.99E−0252LBY570.811.56E−0217
LBY580.791.85E−0297LBY590.835.65E−0343
LBY590.853.59E−0325LBY590.793.44E−0228
LBY590.853.59E−0324LBY590.764.57E−0226
LBY590.865.64E−0352LBY590.944.06E−05115
LBY590.724.31E−021110LBY590.743.74E−02118
LBY590.944.06E−05114LBY590.821.34E−021111
LBY590.733.78E−02112LBY590.753.10E−02113
LBY590.921.11E−03912LBY590.856.87E−03913
LBY590.791.14E−021212LBY610.752.04E−02412
LBY610.872.43E−03413LBY610.724.34E−0233
LBY610.861.33E−0223LBY610.801.75E−0257
LBY610.772.62E−0253LBY610.724.40E−0212
LBY610.857.86E−0393LBY620.764.58E−0227
LBY620.726.99E−02211LBY620.791.86E−0253
LBY620.809.39E−0395LBY620.724.47E−0298
LBY620.809.39E−0394LBY620.743.65E−02911
LBY620.713.18E−021211LBY630.848.26E−0339
LBY630.772.70E−0237LBY630.851.62E−0227
LBY630.764.58E−02211LBY630.713.06E−02127
LBY640.791.20E−0249LBY640.884.43E−031112
LBY640.874.55E−031113LBY640.743.48E−02112
LBY640.762.71E−02113LBY650.771.52E−0249
LBY650.831.03E−02311LBY650.897.62E−0329
LBY650.714.68E−02512LBY650.741.35E−02115
LBY650.801.77E−02118LBY650.741.35E−02114
LBY650.782.26E−02116LBY650.743.63E−02112
LBY650.792.09E−02113LBY650.763.03E−0292
LBY650.844.26E−031212LBY650.742.32E−02126
LBY660.811.51E−0239LBY660.732.67E−02129
LBY670.731.01E−0184LBY670.731.01E−0185
LBY670.832.01E−0229LBY670.745.91E−0227
LBY670.905.37E−03212LBY670.774.30E−02213
LBY670.724.43E−02112LBY670.741.44E−02115
LBY670.921.22E−03118LBY670.741.44E−02114
LBY670.874.63E−03116LBY670.883.98E−031111
LBY670.733.88E−0291LBY670.713.39E−02128
LBY670.771.57E−02126LBY680.801.75E−02312
LBY680.811.50E−02313LBY680.883.48E−0313
LBY680.801.76E−0298LBY680.762.94E−0296
LBY680.801.02E−021212LBY690.844.48E−0347
LBY690.732.48E−02411LBY690.772.62E−02311
LBY690.932.29E−0425LBY690.726.80E−0227
LBY690.784.03E−0228LBY690.932.29E−0424
LBY690.783.78E−0226LBY690.889.02E−03211
LBY690.733.91E−0252LBY690.705.18E−0257
LBY690.772.47E−02512LBY690.714.96E−02513
LBY690.871.16E−03115LBY690.811.40E−02118
LBY690.871.16E−03114LBY690.821.18E−02116
LBY690.712.27E−0215LBY690.712.27E−0214
LBY690.742.24E−0295LBY690.742.24E−0294
LBY690.732.67E−02127LBY690.732.53E−02128
LBY690.761.74E−02126LBY700.827.19E−0349
LBY700.803.22E−0223LBY700.753.14E−0257
LBY700.753.09E−0253LBY700.724.20E−02117
LBY700.849.05E−03113LBY700.857.23E−0393
LBY700.713.19E−021211LBY710.881.61E−0349
LBY710.764.59E−02213LBY710.772.43E−0252
LBY710.743.64E−02512LBY710.858.13E−03111
LBY710.848.57E−031112LBY710.724.53E−021113
LBY710.821.30E−02112LBY710.902.32E−03113
LBY710.865.68E−0391LBY710.801.67E−0292
LBY710.945.81E−04912LBY710.792.00E−02913
LBY720.742.22E−0247LBY720.764.77E−0221
LBY720.932.07E−0329LBY720.801.66E−02111
LBY720.753.04E−0219LBY720.782.14E−0212
LBY720.848.33E−03113LBY720.925.32E−04127
LBY730.742.31E−0245LBY730.742.31E−0244
LBY730.827.07E−03411LBY730.714.93E−021110
LBY740.724.56E−0231LBY740.871.01E−02211
LBY740.883.57E−03111LBY740.714.77E−021112
LBY740.714.88E−02113LBY740.836.18E−03121
LBY750.771.61E−0249LBY750.866.52E−0337
LBY750.782.37E−02313LBY750.727.08E−0229
LBY750.897.22E−03212LBY750.727.07E−0228
LBY750.959.63E−04213LBY750.717.09E−0226
LBY750.762.72E−02512LBY750.772.51E−02513
LBY750.801.60E−021112LBY750.849.42E−031113
LBY750.858.21E−03112LBY750.982.12E−05113
LBY750.705.27E−0298LBY750.753.16E−0296
LBY750.817.91E−031213LBY760.742.27E−0241
LBY760.742.19E−0249LBY760.791.16E−02413
LBY760.714.85E−0237LBY760.818.22E−0325
LBY760.764.71E−0228LBY760.818.22E−0324
LBY760.783.90E−02211LBY760.741.46E−02115
LBY760.884.28E−031112LBY760.772.61E−02118
LBY760.741.46E−02114LBY760.893.18E−031113
LBY760.743.42E−02116LBY760.762.80E−0212
LBY760.871.14E−0315LBY760.753.18E−0218
LBY760.871.14E−0314LBY760.724.58E−0216
LBY760.833.29E−03125LBY760.791.20E−02128
LBY760.833.29E−03124LBY760.818.56E−03126
LBY760.761.73E−021211LBY770.752.11E−0225
LBY770.755.07E−0228LBY770.752.11E−0224
LBY770.717.38E−0226LBY770.714.76E−0251
LBY770.883.89E−0352LBY770.705.13E−02111
LBY770.902.22E−03119LBY770.902.58E−031112
LBY770.945.05E−041113LBY770.753.20E−0211
LBY770.857.58E−03112LBY770.952.89E−04113
LBY770.937.90E−0492LBY780.732.42E−0247
LBY780.753.29E−0232LBY780.801.79E−0252
LBY780.715.06E−0256LBY780.858.10E−0313
LBY780.884.01E−0392LBY780.894.71E−04125
LBY780.894.71E−04124LBY780.781.29E−021211
LBY790.771.60E−0242LBY790.821.23E−0251
LBY790.858.24E−03111LBY790.772.44E−0291
LBY790.743.62E−0299LBY790.791.21E−02121
LBY800.853.88E−0345LBY800.761.86E−0248
LBY800.853.88E−0344LBY800.713.14E−0246
LBY800.875.07E−0338LBY800.831.09E−0236
LBY800.782.17E−02311LBY800.764.76E−0227
LBY800.923.07E−03211LBY800.771.56E−0255
LBY800.792.01E−0258LBY800.771.56E−0254
LBY800.762.91E−0256LBY800.797.12E−03115
LBY800.848.54E−03118LBY800.797.12E−03114
LBY800.811.42E−02116LBY800.842.50E−0315
LBY800.883.87E−0318LBY800.842.50E−0314
LBY800.821.28E−0216LBY800.791.09E−0295
LBY800.921.14E−0398LBY800.791.09E−0294
LBY800.921.06E−0396LBY800.814.58E−03125
LBY800.872.44E−03128LBY800.814.58E−03124
LBY800.818.59E−03126LBY800.703.54E−021211
LBY810.866.60E−03311LBY810.727.08E−0228
LBY810.764.75E−0226LBY810.811.43E−0252
LBY810.814.56E−03115LBY810.902.28E−03118
LBY810.814.56E−03114LBY810.883.88E−03116
LBY810.801.64E−0218LBY810.811.51E−0216
LBY810.883.92E−0392LBY810.732.67E−02126
LBY820.872.27E−0284LBY820.872.27E−0285
LBY820.826.80E−0342LBY820.831.03E−0232
LBY820.733.97E−02511LBY820.945.54E−05125
LBY820.713.24E−021210LBY820.835.42E−03128
LBY820.945.54E−05124LBY820.771.49E−02126
LBY820.722.86E−021211LBY830.783.93E−0223
LBY830.821.21E−0213LBY850.742.24E−0249
LBY850.848.66E−0331LBY850.875.42E−0352
LBY850.724.26E−02512LBY850.801.78E−02112
LBY850.856.82E−03112LBY850.875.25E−03113
LBY850.743.68E−0292LBY850.753.20E−02912
LBY850.821.36E−0298LBY850.839.95E−0396
LBY850.891.43E−03121LBY850.751.95E−021212
LBY850.713.32E−021213LBY860.743.74E−0233
LBY860.745.58E−0221LBY860.743.63E−0257
LBY860.875.51E−0353LBY860.883.68E−03112
LBY860.902.30E−03113LBY860.715.05E−0297
LBY870.711.10E−0184LBY870.711.10E−0185
LBY870.722.90E−0249LBY870.714.80E−0237
LBY870.911.53E−03111LBY870.801.62E−021112
LBY870.811.42E−021113LBY870.772.57E−0213
LBY870.742.29E−02126LBY880.717.53E−0229
LBY880.707.75E−0222LBY880.848.90E−03512
LBY880.734.04E−02513LBY880.893.33E−03112
LBY880.982.40E−05113LBY880.772.48E−02912
LBY880.742.14E−02121LBY880.732.61E−021212
LBY880.809.13E−03128LBY880.781.23E−02126
LBY890.844.69E−0342LBY890.906.38E−0323
LBY890.714.85E−0252LBY890.772.45E−0258
LBY890.743.67E−0256LBY890.865.94E−03117
LBY890.742.37E−02126LBY900.871.15E−02212
LBY900.802.95E−02213LBY900.848.27E−03111
LBY900.821.17E−02112LBY900.892.92E−03113
LBY900.872.12E−03121LBY910.771.47E−0241
LBY910.713.12E−0242LBY910.902.17E−0338
LBY910.874.73E−0336LBY910.734.07E−02311
LBY910.772.41E−0293LBY910.732.52E−021212
LBY910.791.08E−021213LBY920.781.35E−0242
LBY920.939.85E−04118LBY920.937.84E−04116
LBY920.849.48E−03113LBY920.713.31E−021212
LGN520.848.85E−0339LGN520.888.70E−0327
LGN520.803.09E−02211LGN520.883.56E−03117
LGN520.742.34E−02127LGN600.761.69E−0248
LGN600.722.93E−0246LGN600.914.99E−03212
LGN600.951.17E−03213LGN600.733.81E−02513
LGN600.714.72E−02112LGN600.818.73E−03121
LGN600.752.08E−021212
Table 202. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID“—correlation set ID according to the correlated parameters specified in Table 192. “Exp. Set”—Expression set specified in Table 189. “R” = Pearson correlation coefficient; “P” = p value
TABLE 203
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under low N conditions (set 1
parameters) across Foxtail millet varieties
Gene Exp. Corr. Gene Exp. Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY3 0.832.89E−03351LBY3 0.736.38E−02325
LBY3 0.713.09E−0286LBY3 0.914.57E−03822
LBY3 0.823.76E−03148LBY3 0.814.89E−03151
LBY3 0.814.48E−03150LBY3 0.871.17E−03124
LBY3 0.861.45E−03149LBY3 0.778.76E−03152
LBY3 0.793.29E−02125LBY3 0.743.44E−02422
LBY3 0.931.25E−04932LBY550.814.93E−0331
LBY550.731.59E−02314LBY550.779.93E−03316
LBY550.712.10E−0235LBY550.749.49E−02825
LBY550.721.90E−0219LBY550.771.58E−02147
LBY550.713.17E−02145LBY550.853.67E−03120
LBY550.702.33E−0215LBY550.787.20E−03914
LBY550.751.27E−02916LBY550.845.01E−03945
LBY550.761.02E−0229LBY550.751.94E−02223
LBY550.731.57E−02213LBY550.732.71E−02220
LBY550.712.03E−02212LBY550.713.26E−02221
LBY560.761.03E−02343LBY560.796.68E−03310
LBY570.712.05E−02316LBY570.751.24E−0211
LBY570.741.37E−0213LBY570.702.30E−0212
LBY570.778.86E−03443LBY570.712.02E−02442
LBY570.778.55E−03916LBY570.703.45E−02945
LBY570.712.16E−02932LBY580.721.06E−01825
LBY580.851.98E−03448LBY580.871.22E−03451
LBY580.787.21E−03450LBY580.731.61E−02424
LBY580.712.12E−02449LBY580.721.94E−02452
LBY590.751.21E−02124LBY590.771.46E−02122
LBY590.741.51E−02149LBY590.745.74E−02125
LBY590.772.64E−02422LBY590.702.34E−02914
LBY590.835.55E−03947LBY590.712.13E−02916
LBY590.826.21E−03945LBY590.731.61E−02917
LBY590.751.98E−02920LBY590.779.82E−0326
LBY590.854.03E−03222LBY590.787.99E−0327
LBY610.73L69E−02111LBY610.732.71E−02122
LBY610.731.57E−02910LBY610.732.69E−02946
LBY620.751.31E−02328LBY620.741.46E−0221
LBY620.732.47E−02244LBY620.818.53E−03223
LBY620.933.13E−04247LBY620.823.58E−03228
LBY620.908.36E−04245LBY620.891.45E−03220
LBY620.741.43E−0227LBY620.713.26E−02221
LBY630.826.91E−03322LBY630.721.81E−02143
LBY630.731.75E−02110LBY630.741.47E−02139
LBY630.961.60E−05943LBY630.945.89E−05910
LBY630.921.59E−04942LBY630.871.19E−03243
LBY630.931.10E−04210LBY630.814.29E−03238
LBY630.833.11E−03242LBY640.721.83E−02336
LBY640.721.94E−02335LBY640.787.63E−03339
LBY640.731.77E−0235LBY640.713.16E−02850
LBY640.764.64E−02822LBY640.944.72E−03825
LBY640.713.23E−02144LBY640.732.60E−02123
LBY640.796.08E−03148LBY640.761.02E−02151
LBY640.731.59E−02150LBY640.894.87E−04124
LBY640.742.33E−02121LBY640.851.46E−02125
LBY640.703.55E−02947LBY640.713.04E−02945
LBY650.778.96E−0331LBY650.817.46E−03344
LBY650.722.75E−02323LBY650.801.00E−02347
LBY650.778.73E−03316LBY650.771.62E−02345
LBY650.721.81E−0235LBY650.732.59E−0289
LBY650.742.19E−0286LBY650.791.17E−0287
LBY650.703.42E−02144LBY650.703.42E−02123
LBY650.888.53E−04148LBY650.778.48E−03133
LBY650.761.01E−02151LBY650.787.15E−03140
LBY650.861.43E−03150LBY650.904.28E−04124
LBY650.702.32E−02117LBY650.787.94E−03149
LBY650.805.26E−03152LBY650.732.69E−02121
LBY650.861.41E−02125LBY650.722.72E−02944
LBY650.788.19E−03914LBY650.781.39E−02947
LBY650.842.58E−03916LBY650.853.36E−03945
LBY650.842.56E−03917LBY660.741.52E−02910
LBY660.805.20E−03243LBY660.912.26E−04210
LBY660.842.13E−03242LBY670.779.53E−03343
LBY670.842.29E−03333LBY670.787.68E−03340
LBY670.787.45E−0334LBY670.751.27E−0233
LBY670.842.25E−03339LBY670.889.86E−03844
LBY670.932.68E−03823LBY670.896.49E−03847
LBY670.761.64E−0288LBY670.951.11E−03845
LBY670.951.22E−03820LBY670.713.19E−0287
LBY670.932.83E−03821LBY670.714.76E−02444
LBY670.792.05E−02447LBY670.721.94E−02427
LBY670.721.91E−02431LBY670.772.62E−02445
LBY670.713.15E−02944LBY670.832.93E−03914
LBY670.761.64E−02947LBY670.731.64E−02927
LBY670.805.54E−03916LBY670.731.56E−02931
LBY670.901.05E−03945LBY670.751.24E−02917
LBY670.721.91E−02930LBY670.731.56E−02224
LBY670.741.49E−02252LBY680.731.58E−0231
LBY680.751.23E−02348LBY680.826.71E−03828
LBY680.713.04E−02923LBY680.722.75E−02947
LBY680.778.75E−03948LBY680.778.78E−03951
LBY680.751.19E−02950LBY680.823.60E−03924
LBY680.779.09E−03949LBY680.721.85E−02952
LBY680.703.40E−02921LBY690.741.38E−02343
LBY690.712.24E−02310LBY690.702.40E−02342
LBY690.781.31E−02843LBY690.752.04E−02810
LBY690.783.72E−02822LBY690.863.10E−0385
LBY690.809.24E−03145LBY690.751.22E−0215
LBY690.871.13E−03436LBY690.871.14E−03435
LBY690.751.17E−02417LBY690.823.67E−03914
LBY690.751.98E−02947LBY690.833.16E−03916
LBY690.881.92E−03945LBY690.851.93E−03917
LBY700.732.46E−02122LBY700.731.60E−02443
LBY700.721.84E−02410LBY700.721.99E−02442
LBY700.809.47E−03223LBY700.779.35E−03224
LBY700.742.30E−02220LBY700.751.26E−02212
LBY700.781.30E−02221LBY710.931.02E−04332
LBY710.923.36E−03822LBY710.801.02E−02122
LBY710.741.37E−02149LBY710.721.91E−02916
LBY710.721.79E−02917LBY710.752.01E−02222
LBY720.731.56E−02328LBY720.732.57E−02122
LBY720.741.53E−02943LBY720.842.37E−03910
LBY720.787.44E−03942LBY720.741.35E−02250
LBY720.778.87E−03224LBY720.796.39E−03249
LBY720.823.75E−03252LBY720.717.31E−02225
LBY730.861.43E−03427LBY730.861.50E−03431
LBY730.721.97E−02438LBY730.831.09E−02446
LBY730.805.04E−03430LBY730.742.38E−02946
LBY730.712.16E−02252LBY740.702.34E−02336
LBY740.702.36E−02335LBY740.779.50E−03328
LBY740.712.14E−02330LBY740.742.39E−0289
LBY740.897.55E−03844LBY740.923.56E−03823
LBY740.844.50E−03814LBY740.889.49E−03847
LBY740.732.52E−02811LBY740.771.63E−02851
LBY740.827.40E−0388LBY740.932.10E−03845
LBY740.959.01E−04820LBY740.951.19E−03821
LBY740.749.13E−02825LBY740.751.95E−02944
LBY740.832.78E−03948LBY740.851.70E−03951
LBY740.805.29E−03950LBY740.731.63E−02924
LBY740.796.81E−03949LBY740.871.14E−03952
LBY740.732.71E−02921LBY750.731.68E−02333
LBY750.731.56E−02340LBY750.713.35E−02824
LBY750.758.74E−02825LBY750.787.55E−03148
LBY750.805.96E−03150LBY750.805.46E−03124
LBY750.771.49E−02122LBY750.861.36E−03149
LBY750.751.19E−02152LBY750.736.26E−02125
LBY750.751.22E−0241LBY750.743.56E−02444
LBY750.734.11E−02423LBY750.811.57E−02421
LBY750.712.02E−02914LBY750.721.91E−02916
LBY750.742.18E−02945LBY750.741.50E−02917
LBY750.814.11E−03243LBY750.842.30E−03210
LBY750.731.64E−02242LBY760.851.42E−02844
LBY760.774.48E−02823LBY760.861.37E−02847
LBY760.817.68E−03848LBY760.752.02E−02851
LBY760.732.47E−02828LBY760.809.70E−03850
LBY760.761.71E−02824LBY760.812.81E−02845
LBY760.745.95E−02820LBY760.853.81E−03849
LBY760.742.17E−02832LBY760.863.16E−03852
LBY760.767.77E−02825LBY760.787.80E−0316
LBY760.787.17E−03111LBY760.712.13E−02113
LBY760.778.91E−03124LBY760.861.37E−0317
LBY760.713.22E−02121LBY760.764.55E−02125
LBY760.796.17E−03927LBY760.796.74E−03931
LBY760.72.98E−02946LBY760.712.07E−02930
LBY760.712.09E−0229LBY760.712.28E−02228
LBY770.833.05E−0333LBY770.778.99E−0332
LBY770.941.72E−03325LBY770.781.29E−02814
LBY770.761.73E−02848LBY770.818.72E−03850
LBY770.732.52E−02849LBY770.796.21E−02825
LBY770.797.10E−03149LBY770.764.58E−02125
LBY770.741.41E−02448LBY770.796.96E−03450
LBY770.751.24E−02449LBY770.796.28E−03452
LBY770.861.29E−02425LBY770.736.10E−02925
LBY770.833.22E−03243LBY770.887.92E−04210
LBY770.751.28E−02242LBY780.751.96E−02843
LBY780.791.12E−02810LBY780.801.02E−0284
LBY780.713.08E−0283LBY780.707.93E−02822
LBY780.742.26E−0282LBY780.781.41E−02842
LBY780.703.54E−02839LBY780.713.30E−02812
LBY780.731.55E−02151LBY780.761.10E−02152
LBY780.712.21E−02414LBY780.721.90E−02227
LBY780.712.10E−02231LBY780.751.33E−02238
LBY790.722.00E−02948LBY790.823.53E−03951
LBY790.721.85E−02924LBY800.703.57E−02831
LBY800.809.50E−0384LBY800.881.77E−03838
LBY800.713.37E−02830LBY800.761.84E−02839
LBY800.814.73E−03128LBY800.734.17E−02447
LBY800.761.01E−02436LBY800.761.06E−02435
LBY800.801.61E−02445LBY800.792.07E−02420
LBY800.791.14E−02947LBY800.731.72E−02928
LBY800.703.53E−02945LBY800.742.32E−02920
LBY800.731.62E−02227LBY800.741.41E−02231
LBY800.712.21E−02238LBY810.741.44E−0231
LBY810.851.99E−0333LBY810.796.20E−0332
LBY810.711.82E−0235LBY810.853.95E−0381
LBY810.781.33E−0283LBY810.717.11E−02845
LBY810.726.56E−02820LBY810.732.51E−0282
LBY810.965.97E−0585LBY810.713.07E−02144
LBY810.861.35E−03148LBY810.751.22E−02151
LBY810.896.41E−04150LBY810.851.71E−03124
LBY810.921.93E−04149LBY810.861.27E−03152
LBY810.809.31E−03121LBY810.923.00E−03125
LBY810.714.56E−02422LBY810.712.17E−02914
LBY810.818.02E−03947LBY810.761.13E−02951
LBY810.853.75E−03945LBY810.713.24E−02920
LBY810.722.79E−02222LBY820.731.61E−02316
LBY820.751.87E−02833LBY820.713.12E−02839
LBY820.711.12E−01825LBY820.863.05E−03944
LBY820.713.24E−02923LBY820.781.36E−02921
LBY830.712.08E−0231LBY830.751.17E−02316
LBY830.702.33E−02317LBY830.731.61E−02113
LBY830.787.17E−03112LBY830.721.86E−02232
LBY840.985.65E−05844LBY841.003.12E−06823
LBY840.826.85E−03814LBY840.992.72E−05847
LBY840.791.13E−02848LBY840.862.92E−03851
LBY840.722.75E−0288LBY840.751.92E−02850
LBY840.751.97E−02824LBY840.972.07E−04845
LBY840.981.17E−04820LBY840.761.66E−02849
LBY840.809.56E−03852LBY840.981.15E−04821
LBY840.768.00E−02825LBY840.731.70E−0211
LBY840.809.09E−03144LBY840.818.51E−03123
LBY840.888.82E−04114LBY840.844.89E−03147
LBY840.891.41E−03145LBY840.872.52E−03120
LBY840.771.60E−02121LBY840.895.76E−0415
LBY840.814.85E−03936LBY840.751.23E−02927
LBY840.814.35E−03935LBY840.751.30E−02931
LBY840.741.45E−02930LBY840.778.62E−03212
LBY850.804.96E−03348LBY850.796.11E−03350
LBY850.712.13E−02349LBY850.801.01E−02122
LBY850.805.09E−03149LBY850.712.10E−02948
LBY850.721.97E−02951LBY850.852.05E−03243
LBY850.814.66E−03210LBY850.805.98E−03242
LBY860.781.29E−02812LBY860.823.94E−03148
LBY860.761.06E−02151LBY860.779.06E−03150
LBY860.778.69E−03124LBY860.761.79E−02122
LBY860.741.43E−02152LBY860.796.62E−03414
LBY860.713.24E−02244LBY860.732.66E−02223
LBY860.751.33E−02248LBY860.702.36E−02251
LBY860.741.41E−02250LBY860.888.94E−04224
LBY860.761.01E−02249LBY860.781.28E−02221
LBY860.832.09E−02225LBY870.751.88E−0289
LBY870.722.99E−02813LBY870.742.33E−02812
LBY870.929.52E−03825LBY870.751.23E−02948
LBY870.814.17E−03951LBY870.814.34E−03248
LBY870.721.88E−02251LBY870.842.20E−03250
LBY870.805.95E−03224LBY870.912.35E−04249
LBY870.751.27E−02212LBY870.912.28E−04252
LBY870.736.04E−02225LBY880.802.97E−02822
LBY880.814.53E−03148LBY880.731.65E−02151
LBY880.796.62E−03150LBY880.888.79E−04124
LBY880.781.39E−02122LBY880.787.49E−03149
LBY880.774.12E−02125LBY880.811.55E−02422
LBY880.712.24E−02914LBY880.761.86E−02947
LBY880.796.47E−03916LBY880.801.01E−02945
LBY880.796.43E−03917LBY880.809.21E−03222
LBY890.938.71E−05316LBY890.712.14E−02335
LBY890.761.77E−02345LBY890.871.11E−03317
LBY890.854.08E−03843LBY890.732.69E−02810
LBY890.761.66E−02842LBY890.781.39E−02839
LBY890.751.25E−02411LBY890.721.87E−02451
LBY890.712.08E−0248LBY890.702.34E−02951
LBY900.889.52E−03844LBY900.911.85E−03823
LBY900.888.72E−03847LBY900.891.44E−03848
LBY900.881.69E−03851LBY900.891.14E−03850
LBY900.818.21E−03824LBY900.923.33E−03845
LBY900.959.06E−04820LBY900.933.19E−04849
LBY900.941.54E−04852LBY900.964.86E−04821
LBY900.768.17E−02825LBY900.721.80E−02148
LBY900.761.14E−02150LBY900.779.07E−03124
LBY900.835.22E−03122LBY900.833.12E−03149
LBY900.712.19E−02152LBY900.745.78E−02125
LBY900.742.37E−02923LBY900.933.04E−04947
LBY900.788.23E−03948LBY900.796.01E−03951
LBY900.731.55E−02950LBY900.702.39E−02924
LBY900.932.64E−04945LBY900.923.93E−04920
LBY900.787.96E−03952LBY900.751.20E−02224
LBY910.818.47E−03849LBY910.826.37E−03852
LBY910.814.45E−03414LBY910.712.08E−02451
LBY910.801.77E−02420LBY910.761.10E−02452
LBY920.793.43E−02844LBY920.736.23E−02847
LBY920.751.89E−02817LBY920.727.07E−02820
LBY920.716.98E−02821LBY920.741.46E−0219
LBY920.752.06E−02144LBY920.771.51E−02123
LBY920.851.94E−03114LBY920.742.17E−02147
LBY920.712.17E−02111LBY920.712.24E−02113
LBY920.778.82E−0318LBY920.844.31E−03145
LBY920.791.05E−02120LBY920.771.59E−02121
LGN520.713.36E−02322LGN520.742.37E−02842
LGN520.823.30E−0344LGN520.712.14E−0242
LGN520.938.45E−05943LGN520.951.88E−05910
LGN520.921.41E−04942LGN520.788.25E−03243
LGN520.888.36E−04210LGN520.896.05E−04238
LGN520.805.49E−03242LGN520.787.42E−03239
LGN600.791.22E−02323LGN600.713.28E−02320
LGN600.742.20E−02321LGN600.761.73E−02851
LGN600.771.62E−02923LGN600.863.30E−03947
LGN600.814.48E−03948LGN600.823.84E−03951
LGN600.787.99E−03950LGN600.761.03E−02924
LGN600.703.50E−02945LGN600.835.71E−03920
LGN600.751.19E−02949LGN600.823.71E−03952
LGN600.769.98E−03214LGN600.827.09E−03247
LGN600.741.43E−02248LGN600.805.04E−03251
LGN600.761.11E−0228LGN600.805.05E−03250
LGN600.791.10E−02245LGN600.713.13E−02220
LGN600.823.78E−03249LGN600.823.70E−03252
Table 203. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID“—correlation set ID according to the correlated parameters specified in Table 191. “Exp. Set”—Expression set specified in Table 190. “R” = Pearson correlation coefficient; “P” = p value
TABLE 204
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under low N conditions (set 2
parameters) across Foxtail millet varieties
Gene Exp. Corr. Gene Exp. Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY3 0.713.09E−0285LBY3 0.821.21E−0288
LBY3 0.811.41E−0286LBY3 0.951.07E−04112
LBY3 0.845.04E−03110LBY3 0.722.84E−02113
LBY560.844.77E−03110LBY560.721.81E−0249
LBY580.753.04E−02812LBY580.714.96E−0288
LBY580.743.48E−0286LBY580.713.21E−0292
LBY580.741.50E−0249LBY580.751.23E−02413
LBY590.714.99E−0288LBY590.724.43E−0286
LBY590.932.52E−04112LBY590.713.26E−0218
LBY590.722.81E−0216LBY590.779.82E−0325
LBY590.836.17E−0328LBY590.761.81E−0226
LBY610.703.52E−0234LBY610.791.15E−02311
LBY610.713.27E−0292LBY610.809.43E−0318
LBY610.827.19E−0316LBY620.821.29E−02811
LBY620.808.90E−0317LBY620.722.87E−02210
LBY620.891.49E−03211LBY630.844.15E−0339
LBY630.853.85E−0327LBY640.821.29E−0289
LBY640.853.53E−03112LBY650.863.02E−0334
LBY650.862.93E−03311LBY650.742.19E−0285
LBY650.753.24E−02810LBY650.821.36E−0288
LBY650.782.35E−0286LBY650.703.42E−0219
LBY650.791.13E−02112LBY650.732.43E−02113
LBY650.703.55E−0223LBY660.742.34E−0292
LBY660.742.16E−0211LBY660.817.64E−0327
LBY670.724.48E−02812LBY670.872.07E−03913
LBY670.908.08E−0422LBY670.818.28E−03213
LBY680.722.93E−0239LBY680.781.23E−02912
LBY680.801.02E−02913LBY680.703.57E−02110
LBY680.904.40E−0442LBY690.732.57E−0237
LBY690.762.86E−0287LBY690.831.16E−0288
LBY690.733.88E−0286LBY690.731.69E−0247
LBY690.722.91E−0227LBY700.771.61E−0234
LBY700.751.87E−02311LBY700.761.73E−0299
LBY700.713.19E−02212LBY700.732.45E−02210
LBY700.791.05E−02213LBY710.976.55E−0588
LBY710.977.48E−0586LBY710.901.10E−03112
LBY710.761.68E−0218LBY710.781.28E−0216
LBY710.761.15E−0242LBY710.844.55E−0328
LBY710.818.40E−0326LBY720.751.17E−0247
LBY720.713.07E−02212LBY720.844.96E−03213
LBY730.853.91E−03311LBY730.742.33E−0292
LBY730.722.92E−02213LBY740.853.61E−03311
LBY740.801.61E−0289LBY740.753.38E−02812
LBY740.875.33E−03813LBY740.722.93E−0299
LBY740.872.23E−03913LBY740.761.07E−02410
LBY740.713.21E−0222LBY750.811.45E−02812
LBY750.703.55E−0211LBY750.971.22E−05112
LBY750.732.60E−0218LBY750.752.08E−0216
LBY760.751.88E−02311LBY760.772.52E−0284
LBY760.811.58E−02813LBY760.787.80E−0315
LBY760.732.69E−02112LBY760.752.00E−0218
LBY760.781.24E−0216LBY770.853.56E−0339
LBY770.883.55E−0389LBY770.811.57E−02813
LBY770.872.01E−0399LBY770.862.64E−03112
LBY770.861.23E−0349LBY770.712.12E−02413
LBY780.724.21E−0287LBY780.771.47E−0217
LBY780.801.02E−02113LBY780.809.29E−0327
LBY790.703.53E−0231LBY790.714.80E−0289
LBY790.853.47E−03913LBY800.705.21E−0287
LBY800.953.98E−0484LBY800.884.33E−03811
LBY800.771.59E−02111LBY800.742.21E−0224
LBY810.808.89E−03913LBY810.932.26E−04112
LBY810.722.91E−02113LBY810.791.05E−0228
LBY810.732.68E−0226LBY820.781.23E−0234
LBY830.781.22E−02110LBY840.703.41E−02311
LBY840.801.77E−02812LBY840.857.91E−03813
LBY850.781.23E−0239LBY850.791.17E−0232
LBY850.866.72E−0382LBY850.844.30E−0399
LBY850.742.17E−02913LBY850.924.75E−04112
LBY850.713.32E−0218LBY850.732.57E−0216
LBY850.823.74E−0342LBY850.722.95E−0228
LBY860.771.47E−0299LBY860.818.12E−03913
LBY860.742.17E−0219LBY860.791.21E−02113
LBY860.957.11E−05212LBY870.703.48E−02311
LBY870.742.17E−02212LBY870.863.03E−03213
LBY880.772.66E−02812LBY880.923.90E−04112
LBY880.742.19E−0218LBY880.761.64E−0216
LBY880.781.23E−0228LBY880.771.56E−0226
LBY900.772.41E−0289LBY900.743.65E−02812
LBY900.938.11E−04813LBY900.703.40E−0299
LBY900.863.25E−03913LBY900.963.50E−05112
LBY900.722.93E−0218LBY900.751.99E−0216
LBY900.752.08E−02213LBY910.712.19E−0249
LBY910.796.64E−03413LBY920.732.43E−0219
LBY920.836.13E−03113LGN520.791.21E−0239
LGN520.791.92E−0287LGN520.742.21E−0297
LGN520.915.97E−0427LGN600.713.22E−02313
LGN600.881.87E−03913LGN600.835.65E−0329
LGN600.761.81E−02213
Table 204. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID“—correlation set ID according to the correlated parameters specified in Table 192. “Exp. Set”—Expression set specified in Table 190. “R” = Pearson correlation coefficient; “P” = p value.

In order to produce a high throughput correlation analysis between plant phenotype and gene expression level, the present inventors utilized a Foxtail millet oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 65,000 Foxtail millet genes and transcripts. In order to define correlations between the levels of RNA expression with yield components or vigor related parameters, various plant characteristics of 51 different Foxtail millet inbreds were analyzed. Among them, 49 inbreds encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

51 Foxtail millet varieties were grown in 4 repetitive plots, in field. Briefly, the growing protocol was as follows:

Regular growth conditions: foxtail millet plants were grown in the field using commercial fertilization and irrigation protocols, which include 202 m3 water per dunam (1000 square meters) per entire growth period and fertilization of 12 units of URAN® 32% (Nitrogen Fertilizer Solution; PCS Sales, Northbrook, Ill., USA) (normal growth conditions).

Analyzed Foxtail millet tissues—49 selected Foxtail millet inbreds were sampled. Tissues [leaf, panicle and peduncle] representing different plant characteristics, from plants growing under normal conditions were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 205 below.

TABLE 205
Foxtail millet transcriptome expression sets in field experiment
Expression SetSet ID
Panicle grown under normal conditions, flowering1
stage
Leaf grown under normal conditions, seedling stage2
Peduncle grown under normal conditions, flowering3
stage
Table 205: Provided are the foxtail transcriptome expression sets. Peduncle = stem below the panicle.

Foxtail millet yield components and vigor related parameters assessment—Plants were phenotyped as shown in Table 206 below. Some of the following parameters were collected using digital imaging system:

1000 grain (seed) weight (gr)—was calculated using Formula XIV above.

1000 grain weight filling rate (gr./day)—was calculated based on Formula XXXVI above.

Average heads dry weight per plant at heading (gr.)—At the process of the growing period heads of 3 plants per plot were collected (heading stage). Heads were weighted after oven dry (dry weight), and the weight was divided by the number of plants.

Average internode length (cm)—Plant heights of 4 plants per plot were measured at harvest and divided by plant number. The average plant height was divided by the average number of nodes.

Average main tiller leaves dry weight per plant at heading (gr.)—At heading stage, main tiller leaves were collected from 3 plants per plot and dried in an oven to obtain the leaves dry weight. The obtained leaves dry weight was divided by the number of plants.

Average seedling dry weight (gr)—At seedling stage, shoot material of 4 plants per plot (without roots) was collected and dried in an oven to obtain the dry weight. The obtained values were divided by the number of plants.

Average shoot dry weight (gr)—During the vegetative growing period, shoot material of 3 plants per plot (without roots) was collected and dried in an oven to obtain the dry weight. The obtained values were divided by the number of plants.

Average total dry matter per plant at harvest (kg)—Average total dry matter per plant was calculated as follows: average head weight per plant at harvest+average vegetative dry weight per plant at harvest.

Average total dry matter per plant at heading (gr)—Average total dry matter per plant was calculated as follows: average head weight per plant at heading+average vegetative dry weight per plant at heading.

Average vegetative dry weight per plant at harvest (kg)—At the end of the growing period all vegetative material (excluding roots and heads) were collected and weighted after oven dry (dry weight). The biomass was then divided by the total number of square meters. To obtain the biomass per plant the biomass per square meter was divided by the number of plants per square meter.

Average vegetative dry weight per plant at heading (gr)—At the heading stage, all vegetative material (excluding roots) were collected and weighted after (dry weight) oven dry. The biomass per plant was calculated by dividing total biomass by the number of plants.

Calculated grains per dunam (number)—Calculated by dividing grains yield per dunam by average grain weight.

Dry matter partitioning (ratio)—Dry matter partitioning was calculated based on Formula XXXV.

Grain area (cm2)—At the end of the growing period the grains were separated from the head. A sample of ˜200 grains were weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

Grain fill duration (num)—Duration of grain filling period was calculated by subtracting the number of days to flowering from the number of days to maturity.

Grain length (cm)—At the end of the growing period the grains were separated from the ear. A sample of ˜200 grains were weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths (longest axis) was measured from those images and was divided by the number of grains.

Grain width (cm)—At the end of the growing period the grains were separated from the ear. A sample of ˜200 grains were weighted, photographed and images were processed using the below described image processing system. The sum of grain width (longest axis) was measured from those images and was divided by the number of grains.

Grains yield per dunam (kg)—At the end of the growing period heads were collected (harvest stage). Heads were separately threshed and grains were weighted (grain yield). Grains yield per dunam was calculated by multiplying grain yield per m2 by 1000 (dunam is 1000 m2).

Grains yield per head (gr.)—At the end of the experiment all heads were collected. 6 main heads from 6 plants per plot were separately threshed and grains were weighted. The average grain weight per head was calculated by dividing the total grain weight of the 6 heads by the number of heads.

Grains yield per plant (gr.)—At the end of the experiment all plants were collected. All heads from 6 plants per plot were separately threshed and grains were weighted. The average grain weight per plant was calculated by dividing the total grain weight of the 6 plants by the number of plants.

Harvest index (number)—was calculated based on Formula XV above.

Head area (cm2)—At the end of the growing period 6 main heads from 6 plants per plot were photographed and images were processed using the below described image processing system. The head area was measured from those images and was divided by the number of heads.

Head length (cm)—At the end of the growing period 6 heads from 6 plants per plot were photographed and images were processed using the below described image processing system. The head length (longest axis) was measured from those images and was divided by the number of heads.

Head width (cm)—At the end of the growing period 6 main heads of 6 plants per plot were photographed and images were processed using the below described image processing system. The head width (longest axis) was measured from those images and was divided by the number of heads.

Heads per plant (number)—At the end of the growing period total number of 6 plants heads per plot was counted and divided by the number of plants.

Leaves area per plant at heading (cm2)—Total green leaves area per plant at heading. Leaf area of 3 plants was measured separately using a leaf area-meter. The obtained leaf area was divided by 3 to obtain leaf area per plant.

Leaves dry weight at heading (gr.)—Leaves dry weight was measured at heading stage by collecting all leaves material of 3 plants per plot and weighting it after oven dry (dry weight).

Leaves num at heading (number)—Plants were characterized for leaf number during the heading stage. Plants were measured for their leaf number by separately counting all green leaves of 3 plants per plot.

Leaves temperature_1 (° Celsius)—Leaf temperature was measured using Fluke IR thermometer 568 device. Measurements were done on opened flag leaf.

Lower stem width at heading (mm)—At heading stage lower stem internodes from 3 plants were separated from the plant and their diameter was measured using a caliber.

Main heads dry weight at harvest (gr.)—At the end of the growing period (harvest stage) main heads of 6 plants per plot were collected and weighted after oven dry (dry weight).

Main heads grains number (number)—At the end of the growing period (harvest stage) all plants were collected. Main heads from 6 plants per plot were threshed and grains were counted.

Main heads grains yield (gr.)—At the end of the growing period (harvest stage) all plants were collected. Main heads from 6 plants per plot were threshed and grains were weighted.

Main stem dry weight at harvest (gr.)—At the end of the experiment all plants were collected. Main stems from 6 plants per plot were separated from the rest of the plants, oven dried and weighted to obtain their dry weight.

Nodes number (number)—Nodes number was counted in main culm in 6 plants at heading stage.

Number days to flag leaf senescence (number)—the number of days from sowing till 50% of the plot arrives to flag leaf senescence (above half of the leaves are yellow).

Number days to heading (number)—the number of days from sowing till 50% of the plot arrives to heading.

Number days to tan (number)—the number of days from sowing till 50% of the plot arrives to tan.

Peduncle thickness per plant at heading (mm)—Peduncle thickness was obtained at heading stage by measuring the diameter of main culm just above auricles of flag leaf.

Plant height (cm)—Plants were measured for their height at harvest stage using a measuring tape. Height was measured from ground level to the point below the head.

Plant weight growth (gr./day)—Plant weight growth was calculated based on Formula VII above.

SPAD at grain filling (SPAD unit)—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at grain filling stage. SPAD meter readings were done on fully developed leaves of 4 plants per plot by performing three measurements per leaf per plant.

SPAD at vegetative stage (SPAD unit)—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at vegetative stage. SPAD meter readings were done on fully developed leaves of 4 plants per plot by performing three measurements per leaf per plant.

Specific leaf area at heading (cm2/gr.)—was calculated according to Formula XXXVII above.

Tillering per plant at heading (number)—Tillers of 3 plants per plot were counted at heading stage and divided by the number of plants.

Vegetative dry weight at flowering/water until flowering (gr./lit)—was calculated according to Formula XXXVIII above.

Vegetative dry weight (kg)—At the end of the growing period all vegetative material (excluding roots and heads) were collected and weighted after oven dry. The weight of plants is per one meter.

Yield filling rate (gr./day)—was calculated according to Formula XXXIX above.

Yield per dunam/water until tan (kg/ml)—was calculated according to Formula XXXX above.

Yield per plant/water until tan (gr/ml)—was calculated according to Formula XXXXI above.

Data parameters collected are summarized in Table 206, herein below.

TABLE 206
Foxtail millet correlated parameters under normal conditions (vectors)
Correlated parameter withCorrelation ID
1000 grain weight [gr.]1
1000 grain weight filling rate [gr./day]2
Average Heads DW per plant (HD) [gr.]3
Average Seedling DW [gr.]4
Average Shoot DW_[gr.]5
Average Total dry matter per plant (H) [kg]6
Average r Total dry matter per plant (HD) [gr.]7
Average Vegetative DW per plant (H) [kg]8
Average Vegetative DW per plant (HD) [gr.]9
Average internode length [cm]10
Average main Stem DW (H) [gr.]11
Average main tiller Leaves DW per plant (HD) [gr.]12
CV (Grain area) [%]13
CV (Grain length) [%]14
CV (Grain width) [%]15
Calculated Grains per dunam [number]16
Dry matter partitioning [ratio]17
Field Head Width [cm]18
Grain area [cm2]19
Grain fill duration [days]20
Grain length [cm]21
Grain width [cm]22
Grains Yield per dunam [kg]23
Grains Yield per plant [gr.]24
Grains yield per Head [gr.]25
Harvest index [number]26
Head Area [cm2]27
Head Width [cm]28
Heads per plant [number]29
Leaves DW (HD) [gr.]30
Leaves area per plant (HD) [cm2]31
Leaves num (HD) [number]32
Leaves temperature [Celsius]33
Lower Stem width (HD) [mm]34
Main Heads DW (H) [gr,]35
Main heads Grains num [number]36
Main heads Grains yield [gr.]37
Nodes num [number]38
Num days Flag leaf senescence [number]39
Num days to Heading [number]40
Num days to Tan [number]41
Peduncle thickness per plant (HD) [mm]42
Plant height [cm]43
Plant weight growth [gr./day]44
SPAD (GF) [SPAD unit]45
SPAD_(veg) [SPAD unit]46
Specific leaf area (HD) [cm2/gr.]47
Tillering per plant (HD) [num]48
VDW (F)/water until heading [gr./lit]49
Vegetative DW [kg]50
Yield filling rate [gr./day]51
Yield per dunam/water until tan [kg/ml]52
Yield per plant/water until tan [gr./ml]53
Main Stem DW (H) [gr.]54
Table 206. Provided are the Foxtail millet correlated parameters (vectors). “gr.” = grams; “kg” = kilograms; “SPAD” = chlorophyll levels; “DW” = Plant Dry weight; “GF” = grain filling growth stage; “F” = flowering stage; “H” = harvest stage; “hd” = heading growth stage; “Avr”—average; “num”—number; “cm”—centimeter; “veg” = vegetative stage. VDW” = vegetative dry weight; “TDM” = Total dry matter; “lit”—liter; “CV” = coefficient of variation (%).

51 different Foxtail millet inbreds were grown and characterized for different parameters (Table 206). 49 lines were selected for expression analysis. The average for each of the measured parameter was calculated using the JMP software (Tables 207-211) and a subsequent correlation analysis was performed (Table 212). Results were then integrated to the database.

TABLE 207
Measured parameters in Foxtail millet accessions under normal conditions
L/
Corr.
ID123456789
L-1 3.2080.13410.1470.5117.6600.13051.7610.06441.614
L-2 2.1540.06133.4670.2526.3250.09599.8080.04466.342
L-3 2.6770.0967.5930.5537.7120.14756.3310.06548.738
L-4 3.9320.1095.8470.7306.7130.14049.5640.06843.718
L-5 3.5840.1124.2780.4875.8420.06937.0410.03432.762
L-6 3.0870.09410.1880.4567.7500.13256.9670.05746.779
L-7 3.1030.0697.7840.4789.3590.11769.3680.06661.584
L-8 3.2970.0942.4480.5485.7230.08855.0470.05652.598
L-9 2.7380.0986.0270.4636.4720.09041.7530.04535.727
L-102.7750.0996.7470.3618.3780.08350.3060.04343.559
L-113.1160.0688.8670.55310.5850.11447.9900.04639.123
L-123.4440.0736.3110.4655.7180.15952.4530.07646.142
L-132.9140.0502.8190.55911.4200.07522.4540.03819.635
L-143.1030.1088.4520.3446.8380.09194.8740.06186.423
L-153.5300.0913.9360.5347.5910.07835.2560.03731.321
L-163.5760.0693.2000.59712.1470.09326.5590.05023.359
L-172.8370.0927.7300.6708.2370.07039.5580.02631.829
L-183.1390.0592.6830.5217.2990.11925.1200.05922.437
L-193.2550.1286.5510.3476.6830.09533.1260.04626.575
L-202.7510.0984.9750.3468.8650.11834.0570.06729.082
L-212.7530.0896.1030.5589.5570.09729.2860.05023.183
L-222.9090.1074.8420.4348.0930.09431.3000.04526.458
L-232.3580.0761.6580.2695.8510.0549.6140.02611.161
L-242.7150.0974.7150.4486.2070.07925.7850.03321.070
L-254.3740.1697.4180.3645.4000.08030.0320.03122.614
L-263.4640.1239.5050.4423.9180.08037.6170.02928.113
L-272.1900.0843.4780.4706.9740.10550.3800.06546.903
L-283.0810.1356.4900.4604.5920.09953.2330.04646.743
L-292.2500.0916.9980.3174.8930.10763.2630.05656.265
L-302.2050.1144.7000.2453.6280.07031.9460.04527.246
L-314.0270.1302.8210.3715.7280.05315.2710.01912.450
L-323.1410.0816.2900.5896.3770.09359.8250.04853.535
L-333.0080.1205.7830.4977.6860.09272.3170.06066.535
L-343.6330.1376.7100.4996.8530.11750.7770.07044.067
L-35NANA4.1300.3074.7700.09758.2290.07154.099
L-363.4000.1386.7200.5887.2980.09483.2650.05576.545
L-372.5820.0984.7130.5166.6830.06870.2560.04465.543
L-382.7580.0866.5110.5209.2720.079101.6920.05695.181
L-393.6620.1158.9730.4008.8860.09873.6270.05164.654
L-402.8690.0987.0360.4408.1660.06566.6100.04459.574
L-413.2020.12110.4160.5137.1050.068104.1280.04493.712
L-422.7730.0876.4210.4697.3330.12590.6120.07784.191
L-433.6440.0743.9590.5169.2630.17650.2380.09346.279
L-443.1790.0644.4660.5736.9580.08074.3870.04769.921
L-452.8090.1041.6680.4415.7200.08222.5220.03520.854
L-462.7290.0973.3720.5219.9800.06920.3380.03516.967
L-473.0700.0881.1870.5537.0920.08616.0610.04514.873
L-482.9370.1097.1500.4505.1810.05933.7970.03326.647
L-493.1800.0911.5930.4437.7180.10434.3230.05632.730
Table 207: Provided are the values of each of the parameters (as described above)measured in Foxtail millet accessions (“L” = Line) under normal conditions. Growth conditions are specified in the experimental procedure section.
TABLE 208
Additional measured parameters in Foxtail millet accessions under normal growth conditions
L/
Corr.
ID1011121314151617181920
L-1 12.68610.3132.6126.0995.4973.9961676.960.63119.0320.037524.0
L-2 10.1426.4681.4597.3785.3095.237944.064.28319.2700.021935.3
L-3 14.27712.2602.9107.2926.0305.8381495.9102.78420.5930.025228.0
L-4 11.98622.0694.93211.8187.6877.1701952.979.20629.1080.031036.0
L-5 10.97026.4496.15112.9208.4738.1271051.352.83729.0040.029632.0
L-6 12.08111.0442.9288.1585.1986.3601471.297.58026.8200.028132.8
L-7 12.5421.9600.50010.4567.2507.6831132.841.68012.0180.027145.0
L-8 12.7797.0572.2277.1554.6675.2521232.529.37311.8240.027335.5
L-9 11.7944.5391.1797.3475.6895.3271097.060.90410.3650.026628.0
L-1012.7705.4561.4936.2504.7255.4641224.354.11712.4630.027128.0
L-1114.4313.2530.71911.0916.9556.6911342.0113.74217.0980.025746.0
L-1215.9672.6930.4918.5477.2276.7831095.1129.88811.8230.030347.0
L-1314.5032.8280.6008.5297.1115.815963.170.39110.3060.026758.0
L-1410.8297.4292.6786.7384.6105.097954.924.40211.7780.026129.0
L-1511.3972.6350.8797.8726.0235.2221459.955.64711.3130.031939.0
L-1612.0882.5570.68110.3778.2996.3941586.658.55611.3800.028852.0
L-1711.8512.5190.73011.6568.3757.6611501.1120.67014.7590.026631.0
L-1817.9282.1300.56010.7406.4697.0481220.263.72011.0930.027353.0
L-1912.49129.3435.76312.8327.1217.363928.795.49136.4290.026325.5
L-2018.2819.4651.4466.6304.5115.5481363.753.20414.3070.026028.0
L-2116.1022.8880.7089.4567.2356.4941013.769.62810.3310.027131.0
L-2214.4455.8641.2648.8476.0396.3081308.471.32413.9650.030928.0
L-2312.4058.5221.94310.1226.6086.866427.684.87323.5110.018531.0
L-2416.2313.5381.13910.3578.7906.0701178.782.00812.6190.030728.0
L-2513.09013.2573.07411.38210.2486.6981557.6139.90718.6950.030825.5
L-2611.36723.0843.79211.0897.9026.7261437.5107.83629.6080.027828.0
L-2710.13753.19110.5008.3025.8605.570829.732.83935.4520.021326.8
L-2810.02835.97111.3959.4757.1266.0941738.070.80741.6480.031123.5
L-2911.94624.3126.0019.7948.6856.0391031.555.26933.2650.025925.0
L-3013.79427.7054.96310.76810.6606.234512.526.24324.0770.021919.5
L-3111.51519.9333.58410.8606.9477.3281152.6131.17237.5330.031631.0
L-3210.1702.8350.3349.7036.6497.077869.547.6099.8050.027439.0
L-3312.2999.1602.5626.8514.1515.3761056.128.04410.6920.024925.0
L-3413.18818.2934.1596.4994.0805.0291446.545.36221.1740.028926.5
L-3513.39712.8653.53311.0127.2307.830NA23.62918.5040.026825.0
L-3612.1067.6242.6185.6303.8725.4781388.636.80712.7020.028425.0
L-3711.30411.7663.0448.1345.9615.237728.226.05514.5030.025226.5
L-3812.9569.7302.7486.6364.3595.278606.922.28513.4970.024532.0
L-3914.39511.0803.3366.8354.2355.3551634.560.63215.6880.030932.0
L-4013.9467.3632.5007.2404.4735.792800.221.27811.3030.024930.0
L-4116.4518.4692.7436.3524.3355.221821.029.56115.1900.027226.5
L-4212.54113.7422.5308.6856.5956.1301207.640.56916.8000.026532.0
L-4313.9921.3730.29910.3768.0126.7761487.792.0609.4880.030449.0
L-4413.2892.4550.7829.8237.6726.3091281.242.08711.5580.031850.0
L-4512.21514.2302.47010.0546.3776.540863.5116.96028.2150.022027.0
L-4613.7464.6151.0086.9906.2785.642981.753.44513.2810.035828.0
L-4712.5902.4000.63311.0938.3326.2841059.861.18211.2260.030335.0
L-4816.00021.5363.8177.3125.5894.878655.055.13922.7660.024227.0
L-4913.9291.9400.69311.2068.5146.2691229.066.59510.4890.027135.0
Table 208: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (“L” = Line) under normal conditions. Growth conditions are specified in the experimental procedure section.
TABLE 209
Additional measured parameters in Foxtail millet accessions under normal growth conditions
L/
Corr.
ID2122232425262728293031
L-1 0.24700.1936523.44852.3266.4230.40645.9041.9027.9357.835465.7
L-2 0.21090.1486436.94035.1263.4680.37240.2582.16610.3274.378193.4
L-3 0.22880.1585560.84361.4987.0770.41935.8162.6188.6558.730543.0
L-4 0.24040.1838491.66851.85910.8450.36355.8572.7304.82114.796726.2
L-5 0.24180.1799296.57323.98015.0330.31939.6212.8861.73418.454742.8
L-6 0.23380.1719478.08059.2568.7950.44257.1192.7306.9298.785522.8
L-7 0.24370.1617357.61531.0520.7100.26811.5061.26545.7791.50182.8
L-8 0.24460.1608373.48824.8452.3160.27823.9551.29211.1076.680321.5
L-9 0.24940.1540403.16735.2111.8010.39119.0081.29819.4693.538221.6
L-100.25140.1550440.72831.8202.0910.38522.9421.37415.4424.479301.9
L-110.22480.1637423.04750.5741.5480.43614.4621.94844.1512.157177.5
L-120.27160.1650318.77757.4060.5580.35212.2101.321100.1171.474105.0
L-130.24390.1597330.00028.9631.2620.38913.3951.19333.2001.799163.2
L-140.23680.1596306.94521.1882.0290.23524.4851.42710.6108.035431.6
L-150.26650.1743412.84829.3920.9070.36915.1261.35932.8562.637177.7
L-160.24990.1691444.18335.3530.8680.37815.2901.28140.8802.044190.0
L-170.24250.1587510.25037.1821.3270.53414.3341.50027.8102.191202.3
L-180.24990.1583389.65341.4840.7130.34313.6131.33546.5771.681136.7
L-190.21850.1711286.17035.08113.3190.37165.7673.1073.31717.289648.0
L-200.23310.1609494.02342.0952.7210.35525.2151.64215.4834.339240.5
L-210.26040.1508369.76836.3000.5910.37010.0861.30771.9522.123147.9
L-220.24420.1674449.29337.1911.2810.39818.3081.63030.3403.791286.9
L-230.18290.1436181.89317.8601.2390.36942.5992.11617.2365.830357.0
L-240.25180.1643433.94333.9820.9310.43015.0191.44036.9183.416287.1
L-250.25690.1790324.91336.95411.4930.46149.7752.0643.2339.222396.5
L-260.22260.1780421.43738.56117.5760.48460.2012.5412.23211.375459.2
L-270.19480.1499381.28030.66613.9220.25180.4932.6282.34731.5001184.3
L-280.22910.1826516.87340.22621.5740.40591.8594.6062.06434.1851417.5
L-290.21670.1657458.37540.5349.8440.32156.9532.8934.07118.000771.6
L-300.22090.1598229.61016.3377.5640.22854.6852.4792.12014.888505.8
L-310.23870.1877286.39526.54919.1530.50384.4733.1761.4398.073593.5
L-320.24130.1642277.07824.8070.2740.2686.4541.37290.5861.00268.4
L-330.22380.1587351.17524.2342.8410.26320.9191.3058.5807.685434.5
L-340.24590.1680399.38035.3106.1380.30346.7212.2125.77512.478589.5
L-350.24820.1581217.37019.0853.0160.19634.0871.7176.45610.600463.4
L-360.24750.1651408.02028.7052.2760.30523.9521.32012.7207.855415.1
L-370.22940.1585275.79017.5102.1320.26536.2241.8538.1469.133442.1
L-380.22540.1573219.83515.8301.5350.20631.3211.67610.7558.243460.7
L-390.25650.1715442.41737.0215.0710.37237.7221.6907.33710.008529.8
L-400.23630.1527279.12516.2352.1360.24729.2511.5247.7277.500320.8
L-410.24310.1619254.64818.0831.9250.26629.5081.5609.3938.228349.8
L-420.23190.1649432.95036.9652.2300.29429.1211.87315.9577.590366.1
L-430.25350.1735407.96558.9850.3640.3327.7141.141123.5640.89673.7
L-440.26310.1691407.29727.8900.7120.31514.8751.40641.2222.084160.9
L-450.19890.1563308.28335.3588.4970.43151.2242.9904.2337.410470.8
L-460.25780.1771359.71025.4600.7230.37312.6741.49238.6713.023255.1
L-470.25120.1621345.24030.7500.4760.35710.1891.34464.4531.900169.8
L-480.21570.1609223.69320.0254.6730.32646.9362.1444.27911.450525.3
L-490.24160.1634386.34335.5180.6690.36115.2131.28454.6552.080204.6
Table 209: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (“L” = Line) under normal conditions. Growth conditions are specified in the experimental procedure section.
TABLE 210
Additional measured parameter in Foxtail millet accessions under normal growth conditions
L/
Corr.
ID3233343536373839404142
L-1 10.16735.3466.21289.8002180869.93810.20887.00037.861.02.970
L-2 8.33334.1945.26860.2782339350.24811.27887.75043.879.02.078
L-3 9.50034.7836.39997.1533181583.2838.91783.66740.068.02.589
L-4 11.41734.1407.169142.26027993108.44312.37586.66747.083.03.971
L-5 10.08334.0197.164132.08831003111.86311.50081.33347.079.04.913
L-6 11.50035.9045.592100.2832537980.67310.66789.33346.379.03.916
L-7 6.91733.9102.33815.723305110.4507.00087.00041.086.01.525
L-8 11.00033.4695.30328.830716123.43510.87583.50050.586.02.313
L-9 9.08333.5773.97829.715919525.0539.62576.00040.068.02.226
L-108.66734.3464.29833.5801039028.7439.16770.00040.068.02.944
L-115.66733.3103.83429.700683021.3156.25085.00033.079.03.059
L-125.11134.9392.41912.54028589.5675.00094.33339.086.01.701
L-135.08333.2293.49116.488476713.6435.75091.00033.091.02.690
L-1411.41733.3755.55427.015662220.43812.37579.00054.883.01.861
L-158.50034.7793.55621.528482916.8738.08379.25040.079.01.906
L-166.75033.5773.46517.920406214.2606.91388.33333.086.02.865
L-176.00034.5213.79829.255738620.8907.47881.66733.064.02.984
L-185.58333.3523.10817.700464414.1435.20891.00033.086.02.526
L-1910.88935.7028.488164.40539491126.26010.54270.00038.564.04.219
L-208.91736.0815.10936.9201117530.3638.83374.66740.068.02.264
L-216.50036.3313.38215.525455012.2886.66785.33333.064.02.252
L-227.00034.0964.13943.9601188435.6137.54270.00033.061.02.510
L-239.33337.7945.14374.2702574561.4758.08378.00033.064.02.289
L-247.41733.7104.04432.2581011626.9156.50082.33333.061.02.910
L-258.41735.3836.398118.6152255496.9778.08370.00038.564.03.405
L-2610.33333.5446.353183.99545768153.40510.91778.33339.368.04.377
L-2713.33334.2529.559205.33072811148.72516.25086.66752.379.04.740
L-2813.58335.6319.078297.64579336240.72712.12596.00055.579.03.959
L-2912.41734.6087.847111.1533995389.58812.83380.00053.379.03.215
L-309.25037.9697.53784.1683046164.96011.16781.33352.572.02.460
L-3110.66735.6275.907212.66342852172.61810.45878.00037.068.05.002
L-326.50035.5272.6857.30519165.9637.20896.00047.086.01.530
L-3310.66732.7985.47727.695748722.54811.83381.33353.379.02.278
L-3411.16735.0506.53467.3981502454.45012.00081.33352.579.02.883
L-3512.91733.9675.89937.3951548228.64012.00083.66753.379.02.219
L-3611.08333.6755.43630.835711224.01811.50079.00053.379.01.995
L-3712.83335.6944.86836.0101139029.41012.25075.75052.579.02.519
L-3810.66734.5905.76330.610831822.91510.87585.75054.086.02.693
L-399.83334.4216.42659.6381358649.84810.33379.00047.079.02.719
L-4010.33333.7735.66225.743696719.83010.66783.50049.079.02.089
L-4110.25034.3176.28928.155692022.0859.62582.66752.579.02.383
L-429.83334.5735.32167.4832002450.00312.33381.33347.079.01.879
L-435.25034.3562.6867.38815895.6186.66792.66737.086.01.114
L-445.66733.4653.16617.748436013.5556.87591.00041.091.02.841
L-458.75037.4526.54699.4602895081.2039.25075.75037.064.02.644
L-467.50035.3384.52829.748893024.4437.79273.50033.061.01.944
L-476.75034.8923.18811.61529778.8107.37592.66733.068.01.508
L-4810.16735.4257.60796.3102813382.6339.87570.00037.064.03.365
L-496.00032.7883.74817.885469014.5836.29282.33333.068.01.535
Table 210: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (“L” = Line) under normal conditions. Growth conditions are specified in the experimental procedure section.
TABLE 211
Additional measured parameters in Foxtail millet accessions under normal growth conditions
L/
Corr.
ID43444546464748495051525354
L-1 128.9581.57361.93548.33148.331178.1397.5830.4910.62221.4372.4120.24161.875
L-2 109.2771.67753.24043.75243.752132.58710.3330.5670.54412.4451.8440.14838.808
L-3 125.6461.85259.63545.81045.810186.2889.2500.4870.59520.0302.3660.25973.563
L-4 147.6211.31762.08051.20451.204147.9333.7500.3190.65213.6572.0750.219132.413
L-5 126.1710.98160.25451.05451.054121.1332.2500.2390.4539.2681.2510.101158.695
L-6 127.1901.39765.68148.80248.802179.0886.5830.3570.47414.5782.0170.25066.263
L-7 86.4501.84557.42447.80647.806167.30420.6670.5880.7628.0151.5090.13111.760
L-8 138.6251.60846.64049.92349.923144.45413.6670.3350.84510.6531.5760.10542.343
L-9 112.8751.35046.44041.71541.715189.28315.8330.3570.58414.3991.7010.14927.233
L-10116.7711.65042.69842.91242.912225.03916.2500.4360.60115.7401.8600.13432.738
L-1188.7291.92857.30848.58848.588246.88821.7500.5430.4659.1971.7850.21319.515
L-1278.7171.76561.12245.06745.067215.86135.2220.5100.4286.8171.3450.24216.160
L-1381.8750.95454.27044.90044.900270.62716.5000.2730.4355.6901.3920.12216.970
L-14134.5461.73945.05846.18546.185162.87013.7500.4760.86910.6731.2950.08944.573
L-1591.3001.16353.46549.67249.672204.19316.6670.3130.52910.5861.7420.12415.813
L-1682.7611.13856.99047.02747.027279.20115.0000.2970.6338.5401.8740.14914.768
L-1782.8351.55848.42344.35644.356277.40818.2500.4420.36016.4602.1530.15714.250
L-1890.9541.09661.01048.98348.983246.85316.5830.3120.6557.3521.6440.17512.780
L-19129.3830.97863.65849.51049.510125.2541.1670.2960.37311.3521.2070.148176.060
L-20159.5421.07864.05848.51748.517166.7709.0000.2910.78217.6442.0840.17856.788
L-21105.7831.13157.61549.12749.127211.22115.0830.3220.51011.9281.5600.15317.325
L-22107.0631.30153.50445.62745.627227.91113.9170.3840.53216.7772.0700.17135.183
L-2397.8080.63558.09250.99250.992203.9905.2500.1290.2454.5140.7670.07551.133
L-24102.4791.03153.40045.17745.177251.63111.0000.2930.43415.4982.0000.15721.228
L-25104.2460.84464.65851.25851.258130.6192.0000.2570.26812.6841.3710.15679.543
L-26123.1671.06761.85850.10450.104119.7493.1670.2910.35215.2091.7780.163138.503
L-27164.1671.16951.27150.64950.649111.5671.4170.2820.93314.4781.6090.129319.148
L-28120.8701.16859.07147.50847.508124.6621.5830.2520.57922.4702.1810.170215.828
L-29152.4211.43445.51947.98347.983128.7343.6670.3340.75818.5131.9340.171145.873
L-30153.0630.68345.22149.43149.431102.0551.4170.1660.63712.1120.9690.069166.228
L-31118.4380.60467.89251.85651.856165.7631.3330.1520.2049.2391.2080.112119.595
L-3272.5041.63260.74743.38843.388207.11426.6670.3910.5367.1051.1690.10517.010
L-33144.9171.67944.08147.81047.810152.3249.8330.3840.87414.0821.4820.10254.960
L-34157.8541.09555.48545.52945.529141.6854.0830.2690.79715.1791.6850.149109.758
L-35160.0211.37846.25145.26045.260131.1236.4170.3130.8248.8600.9170.08177.188
L-36138.8131.94346.83646.13146.131158.83211.5830.4470.78716.8851.7220.12145.743
L-37137.3082.01240.93745.19045.190143.92611.4170.3930.65410.5921.1640.07470.598
L-38136.2652.06543.44844.01744.017169.88014.5830.5380.7516.8700.9280.06758.378
L-39148.4751.96937.78144.38144.381161.3928.1670.4890.62614.6671.8670.15666.483
L-40147.9581.49442.47344.95444.954127.3099.2500.4370.7639.5301.1780.06944.175
L-41157.5132.39746.82347.04247.042125.25313.7500.5670.6119.7261.0740.07650.813
L-42154.2082.14644.69644.74244.742144.57413.5000.6150.90113.5301.8270.15682.453
L-4390.9501.74257.31944.93144.931246.50231.6670.5640.6628.3261.7210.2498.235
L-4488.7502.47660.11350.19250.192212.86436.1670.6680.7257.9861.7190.11814.728
L-45110.6171.16565.65852.27952.279191.6575.2500.2540.30711.4181.3010.14985.383
L-46106.0830.75856.93543.96043.960254.4986.9170.2360.48312.8471.6580.11727.690
L-4790.8540.83055.52547.36547.365292.02411.4170.2070.5079.8641.4570.13014.400
L-48157.1331.00161.68848.56348.563138.3882.2500.3250.3968.2850.9440.084129.215
L-4985.7881.81954.05447.44247.442295.63523.4170.4570.58010.5771.6300.15011.638
Table 211: Provided are the values of each of the parameters (as described above) measured in Foxtail millet accessions (“L” = Line) under normal conditions. Growth conditions are specified in the experimental procedure section.
TABLE 212
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under normal conditions
across Foxtail millet accessions
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY690.721.07E−08325LBY690.742.07E−09328
LBY690.765.41E−10337LBY690.726.18E−09336
LBY690.734.40E−09318LBY690.751.07E−09335
LBY800.735.10E−09325LBY800.764.12E−10337
LBY800.751.01E−09335LGN520.711.56E−08329
Table 212. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID“—correlation set ID according to the correlated parameters specified in Table 206. “Exp. Set”—Expression set specified in Table 205. “R” = Pearson correlation coefficient; “P” = p value.

In order to produce a high throughput correlation analysis between plant phenotype and gene expression level, the present inventors utilized a wheat oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 50,000 wheat genes and transcripts.

Correlation of Wheat Lines Grown Under Regular Growth Conditions

185 spring wheat lines were grown in 5 replicate plots in the field. Wheat seeds were sown and plants were grown under commercial fertilization and irrigation protocols (normal growth conditions) which include 150 m3 applied water and 400 m3 by rainfall per dunam (1000 square meters) per entire growth period and fertilization of 15 units of URAN® 21% (Nitrogen Fertilizer Solution; PCS Sales, Northbrook, Ill., USA).

In order to define correlations between the levels of RNA expression with yield components or vigor related parameters, phenotypic performance of the 185 different wheat lines was characterized and analyzed at various developmental stages. Twenty six selected lines, encompassing a wide range of the observed variation were sampled for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Analyzed Wheat tissues—Three types of plant tissues [flag leaf, inflorescence and peduncle] from plants grown under Normal conditions were sampled and RNA was extracted as described above. Micro-array expression information from each tissue type has received a Set ID as summarized in Table 213 below.

TABLE 213
Wheat transcriptome expression sets under normal growth conditions
Expression SetSet ID
Flag leaf at heading stage under normal growth conditions1
Inflorescence at heading stage under normal growth 2
conditions
peduncle at heading stage under normal growth conditions3
Table 213: Provided are the wheat transcriptome expression sets. Flag leaf = Full expanded upper leaf at heading; inflorescence = spike before flowering at full head emergence; peduncle = upper stem internode between the flag leaf and spike.

Wheat yield components and vigor related parameters assessment

The collected data parameters were as follows:

% Canopy coverage (F)—percent Canopy coverage at flowering stage. The % Canopy coverage is calculated using Formula XXXII (above).

1000 seed weight [gr.]—was calculated based on Formula XIV (above).

Average spike weight (H) [gr.]—The biomass and spikes of each plot was separated. Spikes dry weight at harvest was divided by the number of spikes or by the number of plants.

Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours.

Average tiller DW (H) [gr.]—Average Stem Dry Matter at harvest.

Average vegetative DW per plant (H) [gr.]—Vegetative dry weight per plant at harvest.

Fertile spikelets [number]—Number of fertile spikelets per spike. Count the bottom sterile spikelets in a sample from harvested spikes and deduce from number of spikelets per spike (with the unfertile spikes).

Fertile spikelets ratio [value]—Measure by imaging, the number of fertile and sterile spikelets per spike in 20 spikes randomly selected from the plot. Calculate the ratio between fertile spikelets to total number of spikelets×100 (sum of fertile and sterile spikelets).

Field Spike length (H) [cm]—Measure spike length per plant excluding the awns, at harvest.

Grain fill duration [number]—Defined by view. Calculate the number of days from anthesis in 50% of the plot to physiological maturity in 50% of the plot.

Grains per spike [number]—The total number of grains from 20 spikes per plot that were manually threshed was counted. The average grains per spike was calculated by dividing the total grain number by the number of spikes.

Grains per spikelet [number]—Number of grains per spike divided by the number of fertile spikelets per spike. Measure by imaging the number of fertile spikelets in 20 randomly selected spikes and calculate an average per spike.

Grains yield per micro plots [Kg]—Grain weight per micro plots.

Grains yield per spike [gr.]—Total grain weight per spike from 20 spikes per plot. The total grain weight per spike was calculated by dividing the grain weight of 20 spikes by the number of spikes.

Harvest index [ratio]—was calculated based on Formula XVIII (above).

Number days to anthesis [number]—Calculated as the number of days from sowing till 50% of the plots reach anthesis.

Number days to maturity [number]—Calculated as the number of days from sowing till 50% of the plots reach maturity.

Number days to tan [number]—Calculated as the number of days from sowing till 50% of the plot arrive to grain maturation.

PAR LAI (F)—Photosynthetically Active Radiation (PAR) at flowering.

Peduncle length (F) [cm]—Length of upper internode from the last node to the spike base at flowering. Calculate the average peduncle length per 10-15 plants randomly distributed within a pre-defined 0.5 m2 of a plot.

Peduncle width (F) [mm]—Upper node width at flowering. Calculate the average upper nodes width, measured just above the flag leaf auricles per 10-15 plants randomly distributed within a pre-defined 0.5 m2 of a plot.

Peduncle volume (F) [Float value]=

Peduncle length* (peduncle thickness/2)2

Spikelets per spike [number]—Number of spikelets per spike (with the unfertile spikes). Measured by imaging, the number of spikelets per spike in 20 spikes randomly selected from the plot.

Spikes per plant (H) [number]—Number of spikes per plant at harvest. Calculate Number of spikes per unit area/Number of plants per plot.

Spikes weight per plant (FC) [gr.]—Spikes weight per plant at flowering complete. Spikes weight from 10 plants/number of plants.

Stem length (F) [cm]—Main Stem length at flowering. Measures the length of Main Stem from ground to end of elongation (without the spike).

Stem width (F) [mm]—Stem width at flowering. Measures on the stem beneath the peduncle.

Test weight (mechanical harvest) [Kg/hectoliter]—Volume weight of seeds.

Tillering (F) [number]—Count the number of tillers per plant from 6-10 plants randomly distributed in a plot, at flowering stage.

Tillering (H) [number]—Number of tillers at harvest.

Total dry matter (FC) [gr.]—was calculated based on Formula XXI.

Total Plant Biomass (H) [gr.]—Vegetative dry weight+Spikes dry weight.

Vegetative DW per plant (F) [gr.]—Plant weight after drying (excluding the spikes) at flowering stage.

Total N content of grain per plant [gr.]—N content of grain*Grains yield per plant.

NDRE 1 [Float value]—Normalized difference Red-Edge TP-1 (time point). Calculated as (NIR−Red edge)/(NIR+Red edge). (“NIR”—Near InfraRed)

NDRE 2 [Float value]—Normalized difference Red-Edge TP-2. Calculated as (Nir−Red edge)/(Nir+Red edge).

NDVI 1 [Float value]—Normalized Difference Vegetation Index TP-1. Calculated as (Nir−Red edge)/(Nir+Red edge).

NDVI 2[Float value]—Normalized Difference Vegetation Index TP-2. Calculated as (Nir−Red edge)/(Nir+Red edge).

RUE [ratio]—total dry matter produced per intercepted PAR. Spikes weight per plant+Vegetative DW per plant at flowering/% Canopy coverage.

The following parameters were collected using digital imaging system: Grain Area [cm2]—A sample of ˜200 grains were weight, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

Grain Length and Grain width [cm]—A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths and width (longest axis) was measured from those images and was divided by the number of grains.

Grain Perimeter [cm]—A sample of ˜200 grains were weight, photographed and images were processed using the below described image processing system. The sum of grain perimeter was measured from those images and was divided by the number of grains.

Spike area [cm2]—At the end of the growing period 5 ‘spikes’ were photographed and images were processed using the below described image processing system. The ‘spike’ area was measured from those images and was divided by the number of ‘spikes’.

Spike length [cm]—Measure by imaging spikes length excluding awns, per 30 randomly selected spikes within a pre-defined 0.5 m2 of a plot.

Spike max width [cm]—Measure by imaging the max width of 10-15 spikes randomly distributed within a pre-defined 0.5 m2 of a plot. Measurements were carried out at the middle of the spike.

Spike width [cm]—Measure by imaging the width of 10-15 spikes randomly distributed within a pre-defined 0.5 m2 of a plot. Measurements were carried out at the middle of the spike.

N use efficiency [ratio]—was calculated based on Formula LI (above).

Yield per spike filling rate [gr/day]—was calculated based on Formula LX (above).

Yield per micro plots filling rate [gr/day]—was calculated based on Formula LXI (above).

Grains yield per hectare [ton/ha]—was calculated based on Formula LXII (above).

Total NUtE [ratio]—was calculated based on Formula LIII (above).

The image processing system consisted of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

Data parameters collected are summarized in Table 214, herein below

TABLE 214
Wheat correlated parameters (vectors)
Correlated parameter withCorrelation ID
% Canopy coverage (F) [%]1
1000 grain weight [gr.]2
Avr Spikes DW per plant (H) [gr.]3
Avr Vegetative DW per plant (H) [gr.]4
Avr spike weight (H) [gr.]5
Avr tiller DW (H) [gr.]6
Fertile spikelets [number]7
Fertile spikelets ratio [value]8
Field Spike length (H) [cm]9
Grain Perimeter [cm]10
Grain area [cm2]11
Grain fill duration [number]12
Grain length [cm]13
Grain width [cm]14
Grains per spike [number]15
Grains per spikelet [number]16
Grains yield per hectare [ton/ha]17
Grains yield per micro plots [kg]18
Grains yield per spike [gr.]19
Harvest index [ratio]20
N content of grain (harvest) [gr.]21
N use efficiency [ratio]22
NDRE_1 [Float value]23
NDRE_2 [Float value]24
NDVI_1 [Float value]25
NDVI_2 [Float value]26
Num days to anthesis [number]27
Num days to maturity [number]28
Num days to tan [number]29
PAR_LAI (F) [μmol−2 S−1]30
Peduncle length (F) [cm]31
Peduncle width (F) [mm]32
RUE [ratio]33
Spike Area [cm2]34
Spike length [cm]35
Spike max width [cm]36
Spike width [cm]37
Spikelets per spike [number]38
Spikes dry weight per plant (F) [gr]39
Spikes per plant (H) [number]40
Stem length (F) [cm]41
Stem width (F) [mm]42
Test weight (mechanical harvest) [kg/hectoliter]43
Tillering (F) [number]44
Tillering (H) [number]45
Total N content of grain per plant [gr.]46
Total N utilization efficiency [ratio]47
Total Plant Biomass (H) [gr.]48
Total dry matter (F) [gr.]49
Vegetative DW per plant (F) [gr.]50
Yield per micro plots filling rate [ratio]51
Yield per spike filling rate [gr./day]52
Peduncle volume (F) [Float value]53
Table 214. Provided are the wheat correlated parameters “TP” = time point; “DW” = dry weight; “FW” = fresh weight; “Low N” = Low Nitrogen; ”Relative water content [percent]; “num” = number. “gr.” = grams; “cm” = centimeter; “Avr” = average; “RGR’ = relative growth rate; “BPE” = biomass production efficiency; “NHI” = Nitrogen harvest index; “NupE” = nitrogen uptake efficiency; “NutE” = nitrogen utilization efficiency; “SPAD” = chlorophyll levels; “F” = flowering stage; “H” = harvest stage; “N” = nitrogen;
“gr” = gram; “cm” = centimeter; “kg” = kilogram; “FC” = flowering completed; “RUE = radiation use efficiency; “NDVI” = normalized Difference Vegetation Index; “NDRE” = normalized Difference Red-Edge index.

185 different wheat lines were grown and characterized for different parameters. Tissues for expression analysis were sampled from a subset of 26 lines. The correlated parameters are described in Table 214 above. The average for each of the measured parameter was calculated using the JMP software (Tables 215-217) and a subsequent correlation analysis was performed (Table 218). Results were then integrated to the database.

TABLE 215
Measured parameters in Wheat accessions under normal conditions
Line/
Corr.Line-Line-Line-Line-Line-Line-Line-Line-Line-
ID4823273136406063
192.1567.6564.3773.0296.1759.8387.7592.7692.93
239.77138.33742.13941.72448.41339.47141.23741.29044.576
33.4762.0694.9986.5995.6363.9254.4714.6845.777
45.8723.0104.0634.5483.5167.8466.7213.8663.609
51.6061.1181.8022.1422.6451.2962.0822.2292.766
61.9861.3461.2351.3551.4722.3152.2811.3751.636
716.0514.9215.5815.9516.6415.8717.2517.9817.16
888.4688.0786.2688.9686.9790.1088.2289.5287.05
98.9046.7048.5517.92510.4618.83010.1229.4929.700
101.7031.6781.7401.7331.8371.6771.6761.7561.789
110.1830.1780.1860.1890.2110.1730.1780.1900.202
12365.63388.60304.75337.75437.30432.70383.67426.10304.75
130.66020.65260.68880.67130.70840.66210.65020.69610.7020
140.36820.35860.36010.37120.38550.34820.36430.36790.3825
1529.1024.7632.1637.4243.2524.1232.4642.8046.27
161.8141.6492.0662.3562.6101.5291.8832.3832.695
176.5854.5388.2429.74711.8515.6335.9437.96912.367
185.6633.9037.0888.38310.1924.8445.1116.85310.636
191.1240.8871.3221.5161.9510.9331.3111.6892.029
200.27670.33390.47550.43560.48740.25300.28930.44800.4769
212.4901.8651.8901.9901.7552.2402.1201.8101.535
2238.7421.3548.4857.3469.7133.1334.9628.1372.75
230.13370.13930.12800.11900.12120.14400.14710.12480.1290
240.23030.22850.20400.23300.18450.23580.20280.21150.1938
250.32780.32900.29760.30330.28900.36250.35620.29610.3040
260.6090.6010.5400.6160.4550.6450.5250.5580.507
27128.0120.8128.0127.8116.6137.6129.3117.2128.0
28176.0163.0167.3168.3163.0177.8175.7164.6169.0
29160.8153.2157.8158.3153.6172.0163.7153.2157.0
304.5782.4452.2562.4945.7831.8812.8665.2623.732
3138.8736.3738.0339.5434.5138.3449.0438.2935.90
322.4383.1232.6772.6843.0462.2042.6623.0942.728
330.08670.10300.10100.13810.06780.18760.14730.07910.0895
348.4685.6727.7199.83211.6676.8137.3049.525NA
359.5036.5648.2228.20311.0558.0949.4079.927NA
361.2621.2271.3191.7141.5721.1831.0791.454NA
371.0301.0061.0861.4171.2590.9650.8991.159NA
3818.1416.9218.0717.9019.1117.6719.5620.1019.71
391.0941.0210.9603.7401.2701.1781.5991.2852.131
402.2771.9113.2563.1832.2933.1872.6322.2702.200
41122.1798.0292.5094.1374.77126.10135.6396.9785.68
423.6674.4833.7144.0334.8863.4233.6394.2144.059
4368.9784.5980.9685.6184.2875.2381.6085.2779.70
443.2682.5073.0182.6222.9883.0834.0292.9972.707
453.1132.5873.6333.3832.4673.9833.8402.9802.333
4663.442.579.378.973.258.570.176.457.7
47130.7116.3106.1107.2102.6131.8127.6113.1123.1
489.3484.9389.06011.1489.15311.77110.7788.5509.386
497.9936.7915.9079.1996.52510.77512.8707.3178.329
506.8995.7704.9475.4595.2559.49511.2716.0336.199
510.1880.1410.2910.3550.3210.1690.1730.2250.424
520.03330.02730.04500.05940.05280.02810.03870.04690.0681
5318.9228.2321.6222.4725.2614.6627.8628.9321.01
Table 215. Provided are the values of each of the parameters (as described above) measured in wheat accessions (“L” = Line). Growth conditions are specified in the experimental procedure section. “NA” = not available.“Corr.”—correlation.
TABLE 216
Measured parameters in additional Wheat accessions under normal growth conditions
Line/
Corr.Line-Line-Line-Line-Line-Line-Line-Line-Line-
ID68747587100107118129134
175.6892.9661.6264.4072.7084.7663.2755.1683.90
243.69539.70940.90138.61640.86431.19440.41439.06842.290
35.0315.3553.8452.9955.1113.8216.1043.9876.352
45.6493.3295.3806.0829.5638.8295.9976.7444.466
52.8573.1711.6951.7082.4241.5512.6501.9353.494
62.7491.6711.8302.3973.0482.2712.0912.3051.940
719.0120.0916.1317.6417.4518.7318.4117.0817.96
890.5093.3785.9494.8988.1694.6891.2388.6287.16
99.9889.6447.4329.1729.40810.70010.8929.54110.586
101.7041.7621.6841.6911.7121.6191.6511.6571.816
110.1850.1890.1790.1720.1730.1490.1740.1650.194
12336.75377.75358.92344.25366.85371.83358.45432.70282.88
130.66030.70070.65770.67660.68470.66360.64050.65800.7336
140.37650.35840.36100.33830.33700.29900.36970.33900.3556
1545.4862.5332.8333.9633.9725.5741.9626.6851.20
162.3973.1392.0511.9251.9451.5322.2861.5592.843
179.56011.6006.9775.8305.7075.4748.4636.1009.665
188.2229.9766.0005.0144.9084.7087.2785.2468.312
191.9702.3911.2931.2781.3580.7951.6281.0282.127
200.37690.49670.37670.25670.23900.19580.34240.23520.4410
212.2151.3102.0402.1352.4402.2101.8852.4301.840
2256.2468.2432.8334.3033.5731.6049.7835.8856.85
230.13530.11900.12700.13070.14900.13780.09350.12900.1350
240.21660.20360.21650.24750.25400.28250.24760.24000.2597
250.32330.26700.28500.31030.39300.34900.21400.30450.3290
260.5700.5330.5680.6640.6740.7370.6470.6020.685
27140.0128.0124.0137.0139.4148.5137.4137.6131.0
28177.0170.5166.8175.8182.8182.3179.4183.4173.0
29168.0162.5154.6167.0169.4175.3167.8172.0158.8
302.9444.2972.1491.8233.2742.9102.4251.7714.201
3141.0530.8538.6741.7842.2339.7831.4636.0732.98
322.9313.0542.4592.6152.7402.5862.5902.5972.455
330.15660.06290.18430.13260.18100.15360.11310.15210.0821
348.40611.6627.5427.3217.9378.69511.2446.24112.124
359.11412.1048.4859.1268.8539.9119.8837.66210.187
361.3421.4461.2921.1231.2041.1931.6121.1231.707
371.0921.1281.0780.9101.0440.9951.3290.9411.446
3821.0021.4918.8018.5919.9119.8720.2519.5820.62
393.5301.5201.1751.1772.2711.9751.9061.0851.480
402.0531.8272.7071.6932.5733.1832.5722.4632.300
41104.5377.26119.44133.29136.31124.29106.89123.7683.26
424.3754.8783.6894.1354.0173.6964.1303.9813.220
4376.1677.7684.0775.8575.4478.4475.3877.3677.09
442.6001.9333.3332.5003.0314.1502.4502.4331.867
452.2332.1333.1602.7173.6674.2503.2963.6973.367
4698.552.663.042.770.561.582.457.665.4
4798.3147.7116.0164.8155.0163.8399.1138.2127.3
4810.6818.6839.2259.07714.67312.65012.10110.73110.818
4911.3965.7608.0007.71912.69912.6456.9947.7245.553
507.8664.2406.8256.54210.42810.6705.0886.6394.073
510.3530.3360.2190.1960.1960.2080.2800.1830.379
520.07030.07120.04320.04300.04770.03550.05360.03120.0643
5327.8922.6018.8322.3524.9621.1816.8219.2817.89
Table 216. Provided are the values of each of the parameters (as described above) measured in wheat accessions (“L” = Line). Growth conditions are specified in the experimental procedure section. “NA” = not available. “Corr.”—correlation.
TABLE 217
Measured parameters in additional Wheat accessions under normal growth conditions
Line/
Corr.Line-Line-Line-Line-Line-Line-Line-Line-Line-Line-
ID142146159161171173175178179183
170.3363.5167.9975.9596.4671.1296.0795.7374.6380.19
246.39642.31444.47638.05348.04440.01047.32843.48948.33747.431
33.1462.4156.4053.6455.9092.8687.0296.1955.4705.555
46.2695.3587.8586.6153.7195.0674.9784.9345.2624.407
51.6421.4091.9032.0282.7111.6102.7172.6183.0482.920
62.0881.9282.0532.6841.5972.1201.8021.8422.3132.088
716.4717.1916.3618.2217.6219.1418.2417.7219.3619.12
891.8891.7490.7481.0287.8392.3588.9290.6292.2887.19
98.4249.9808.9489.7239.69210.2159.0769.02010.74710.952
101.7591.7201.8311.6951.8071.7251.7951.7081.8921.808
110.1880.1760.1970.1740.2070.1760.2010.1870.2120.203
12343.44372.65302.20405.05448.50300.35363.42343.75197.70356.45
130.69800.69160.73570.67420.70520.69410.70000.65930.75700.7098
140.36410.34400.35440.34080.38850.33620.37690.37510.37000.3786
1527.0825.3531.6830.5444.6325.5444.8847.6749.1845.87
161.6611.4751.9361.6712.5521.2882.4602.6872.5432.397
176.1425.4795.9796.77711.4885.75812.03311.22610.80211.160
185.2824.7125.1425.8289.8804.95210.3489.6549.2909.598
191.2231.0571.3811.1602.0330.9332.0451.9852.3282.129
200.26010.27410.39920.26210.50190.26470.46840.44720.44190.4382
211.8052.1151.9252.2151.6352.3051.5101.7152.0101.725
2236.1332.2335.1739.8767.5833.8770.7866.0363.5465.65
230.13700.14680.12500.13570.12460.13880.12600.12030.12680.1278
240.25930.20800.20680.24220.19900.25900.23280.21330.20560.2010
250.31900.37100.30070.33330.29400.34900.30370.28450.30330.3068
260.6910.6230.5440.6410.5070.6650.6200.5530.5160.520
27141.8137.0127.8140.0116.0140.6127.8128.0140.0131.0
28179.8178.6170.2177.0163.0178.6168.3170.0171.7174.6
29169.3168.6154.2171.6154.0166.6161.3160.2159.7163.4
302.8682.0492.7332.8055.9373.0203.3905.5542.8842.583
3137.3642.7439.0145.0639.3440.0340.06NA42.7138.47
322.5732.6602.5112.9432.8882.2132.754NA3.2653.067
330.14480.12870.15130.13090.04860.20530.1241NA0.16660.0777
346.7667.2588.2346.67810.6818.09312.47611.40311.77812.753
357.8299.2089.6788.0459.82710.4729.9488.60410.91811.104
361.1991.1161.2081.1661.6381.0561.7941.8691.5951.714
371.0010.9081.0240.9651.3100.8791.4761.5791.2801.365
3818.0118.7418.0422.4320.0420.6620.5319.5521.0121.96
392.6611.5061.7331.3091.3932.5842.477NA4.8892.085
401.9602.0074.1162.2732.3732.3192.7332.4902.1672.040
41128.30129.54113.05139.0990.72125.02104.32NA110.3899.82
423.8954.0483.8154.2694.5033.3974.140NA4.5614.313
4376.6078.3079.3081.1986.3880.2586.0486.7685.3286.96
442.7602.8334.2252.5332.6504.5953.295NA2.3222.117
453.1333.3324.6732.6782.5203.3442.8672.7232.5072.413
4640.337.0120.946.084.477.568.684.2101.574.2
47145.8147.9113.7179.3116.7123.5131.4118.096.1116.9
489.4157.77314.26310.2609.6287.93512.00711.12910.2779.961
4910.8057.8069.9499.5316.70714.14911.903NA11.7915.647
508.1446.3008.2168.2225.45011.5659.426NA6.9023.562
510.2310.1730.2260.2220.3020.2260.3550.3490.5730.348
520.04380.03340.05300.03870.05350.03600.05910.06160.12260.0664
5319.4523.7919.3030.9726.0215.8323.90NA35.8728.40
Table 217. Provided are the values of each of the parameters (as described above) measured in wheat accessions (“L” = Line). Growth conditions are specified in the experimental procedure section. “NA” = not available. “Corr.”—correlation.
TABLE 218
Correlation between the expression level of selected genes of some embodiments of the
invention in various tissues and the phenotypic performance under normal across
wheat accessions
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY2140.781.24E−04347LBY2150.772.07E−04347
LBY2220.711.14E−042 2LBY2220.771.14E−05218
LBY2220.752.42E−05222LBY2220.771.14E−05217
LBY2220.701.78E−04234LBY2220.727.19E−05211
LBY2250.744.90E−04320LBY2280.727.17E−043 2
LBY2280.832.45E−05352LBY2280.744.20E−04319
LBY2280.762.38E−04311LBY2280.711.04E−03310
LBY2280.744.64E−04351LBY2310.718.99E−04326
LBY2310.736.60E−04324
Table 218. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID“—correlation set ID according to the correlated parameters specified in Table 214. “Exp. Set”—Expression set specified in Table 213. “R” = Pearson correlation coefficient; “P” = p value.

In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a Wheat oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 60K Wheat genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 14 different Wheat accessions were analyzed. Among them, 10 accessions encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

14 Wheat accessions in 5 repetitive blocks, each containing 8 plants per pot were grown at net house. Three different treatments were applied: plants were regularly fertilized and watered during plant growth until harvesting under normal conditions [as recommended for commercial growth, plants were irrigated 2-3 times a week, and fertilization was given in the first 1.5 months of the growth period], under low Nitrogen (70% percent less Nitrogen) or under drought stress (cycles of drought and re-irrigating were conducted throughout the whole experiment, overall 40% less water were given in the drought treatment).

Analyzed Wheat tissues—Five tissues at different developmental stages [leaf, stem, root tip and adventitious root, flower], representing different plant characteristics, were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 219 below.

TABLE 219
Wheat transcriptome expression sets under normal conditions
Expression SetSet ID
Adv root, grown under Normal conditions, first tillering stage1
Basal lemma, grown under Normal conditions, grain filling stage2
Basal spike, grown under Normal conditions, flowering stage3
Basal spike, grown under Normal conditions, grain filling stage4
Leaf, grown under Normal conditions, flowering stage5
Leaf, grown under Normal conditions, grain filling stage6
Root tip, grown under Normal conditions, first tillering stage7
Stem grown under Normal conditions, flowering stage8
Stem, grown under Normal conditions, grain filling stage9
Table 219. Provided are the wheat transcriptome expression sets under normal conditions.
TABLE 220
Wheat transcriptome expression sets under low N conditions
Expression SetSet ID
Adv root, grown under Low N conditions, first 1
tillering stage
Basal spike, grown under Low N conditions, 2
flowering stage
Basal spike, grown under Low N conditions, grain 3
filling stage
Leaf, grown under Low N conditions, flowering stage4
Leaf, grown under Low N conditions, grain filling 5
stage
Root tip, grown under Low N conditions, first 6
tillering stage
Stem, grown under Low N conditions, flowering stage7
Stem grown under Low N conditions, grain filling 8
stage
Table 220. Provided are the wheat transcriptome expression sets under low N conditions.
TABLE 221
Wheat transcriptome expression
sets low N vs. normal conditions
Expression SetSet ID
Adv root; grown under Low N vs. normal 1
conditions, first tillering stage
Basal spike; grown under Low N vs. normal 2
conditions, flowering stage
Basal spike; grown under Low N vs. normal 3
conditions, grain filling stage
Leaf; grown under Low N vs. normal 4
conditions, flowering stage
Leaf; grown under Low N vs. normal 5
conditions, grain filling stage
Root tip; grown under Low N vs. normal 6
conditions, first tillering stage
Stem; grown under Low N vs. normal 7
conditions, flowering stage
Stem; grown under Low N vs. normal 8
conditions, grain filling stage
Table 221. Provided are the wheat transcriptome expression sets at low N versus (vs.) normal conditions.

Wheat yield components and vigor related parameters assessment—Plants were phenotyped on a daily basis following the parameters listed in Tables 222-223 below. Harvest was conducted while all the spikes were dry. All material was oven dried and the seeds were threshed manually from the spikes prior to measurement of the seed characteristics (weight and size) using scanning and image analysis. The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Grain yield (gr.)—At the end of the experiment all spikes of the pots were collected. The total grains from all spikes that were manually threshed were weighted. The grain yield was calculated by per plot or per plant.

Spike length and width analysis—At the end of the experiment the length and width of five chosen spikes per plant were measured using measuring tape excluding the awns.

Spike number analysis—The spikes per plant were counted.

Plant height—Each of the plants was measured for its height using measuring tape. Height was measured from ground level to top of the longest spike excluding awns at two time points at the Vegetative growth (30 days after sowing) and at harvest.

Spike weight—The biomass and spikes weight of each plot was separated, measured and divided by the number of plants.

Dry weight—total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours at two time points at the Vegetative growth (30 days after sowing) and at harvest.

Spikelet per spike—number of spikelets per spike was counted.

Root/Shoot Ratio—The Root/Shoot Ratio is calculated using Formula XXII described above.

Total No. of tillers—all tillers were counted per plot at two time points at the Vegetative growth (30 days after sowing) and at harvest.

Node number—number of nodes in the main stem.

Percent of reproductive tillers—was calculated based on Formula XXVI (above).

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at time of flowering. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.

Root FW (gr.), root length (cm) and No. of lateral roots—3 plants per plot were selected for measurement of root weight, root length and for counting the number of lateral roots formed.

Shoot FW (fresh weight)—weight of 3 plants per plot were recorded at different time-points.

Average Grain Area (cm2)—At the end of the growing period the grains were separated from the spike. A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

Average Grain Length and width (cm)—At the end of the growing period the grains were separated from the spike. A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths or width (longest axis) was measured from those images and was divided by the number of grains.

Average Grain perimeter (cm)—At the end of the growing period the grains were separated from the spike. A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain perimeter was measured from those images and was divided by the number of grains.

Heading date—the day in which booting stage was observed was recorded and number of days from sowing to heading was calculated.

Relative water content—Relative water content (RWC) is calculated according to Formula I.

Tiller abortion rate (hd to F)—difference between tiller number at heading and tiller number at flowering divided by tiller number at heading.

Tiller abortion rate—difference between tiller number at harvest and tiller number at flowering divided by tiller number at flowering.

Grain N (H)—% N content of dry matter in the grain at harvest.

Head N (GF)—% N content of dry matter in the head at grain filling.

Total shoot N—calculated as the % N content multiplied by the weight of plant shoot.

Total grain N—calculated as the % N content multiplied by the weight of plant grain yield.

NUE [kg/kg] (N use efficiency)—was calculated based on Formula LI.

NUpE [kg/kg] (N uptake efficiency)—was calculated based on Formula LII.

Grain NUtE (N utilization efficiency)—was calculated based on Formula LV.

Total NUtE—was calculated based on Formula LIII.

Stem Volume—was calculated based on Formula L.

Stem density—was calculated based on Formula LIV.

NHI (N harvest index)—was calculated based on Formula LVI.

BPE (Biomass production efficiency)—was calculated based on Formula LVII.

Grain fill duration—the difference between number of days to maturity and number of days to flowering.

Harvest Index (for Wheat)—The harvest index was calculated using Formula XVIII described above.

Growth rate: the growth rate (GR) of Plant Height (Formula III described above), SPAD (Formula IV described above) and number of tillers (Formula V described above) were calculated with the indicated Formulas.

Specific N absorption—N absorbed per root biomass.

Specific root length—root biomass per root length.

Ratio low N/Normal: Represents ratio for the specified parameter of LowN condition results divided by Normal conditions results (maintenance of phenotype under LowN in comparison to normal conditions).

Data parameters collected are summarized in Tables 222-223, herein below.

TABLE 222
Wheat correlated parameters under normal and low N conditions (vectors)
Correlation setCorrelation ID
1000 grain weight [gr.]1
Avr spike DW (SS) [gr.]2
Avr spike DW (flowering) [gr.]3
Avr spike weight (harvest) [gr.]4
BPE [ratio]5
Fertile spikelets ratio [ratio]6
Grain area [mm2]7
Grain fill duration [days]8
Grains per plant [number]9
Grains per spike [number]10
Grains per spikelet [number]11
Grains weight per plant [gr.]12
Grains weight per spike [gr.]13
Harvest index14
Leaf Area [cm2]15
Leaf Average Width [cm]16
Leaf Length [cm]17
Leaf Perimeter [cm]18
Leaves num at tillering [number]19
Leaves num flowering [number]20
N use efficiency [ratio]21
NHI [ratio]22
Node Num [number]23
Num days Heading [days]24
Num days to anthesis [days]25
NupE [ratio]26
Peduncle length [cm]27
Peduncle thickness [mm]28
Plant height [cm]29
RWC [%]30
Root length [cm]31
Roots DW [gr.]32
SPAD early-mid grain filling [SPAD units]33
SPAD flowering [SPAD units]34
SPAD mid-late grain filling [SPAD]35
Seminal roots [number]36
Shoot C/N [ratio]37
Shoot DW [gr.]38
Shoot/Root [ratio]39
Spike Area [cm2]40
Spike Perimeter [cm]41
Spike length [cm]42
Spike width [cm]43
Spikelets per spike [number]44
Tiller abortion rate [ratio]45
Tillering (Flowering) [number]46
Tillering (Heading) [number]47
Tillering (Tillering) [number]48
Total dry matter [gr]49
Total Leaf Area [cm2]50
Vegetative DW (Harvest) [gr.]51
field awns length [cm]52
Grain C/N [ratio]53
grain NUtE [ratio]54
grain protein [%]55
peduncle volume [cm3]56
specific N absorption [mg/gr.]57
specific root length [gr./cm]58
tiller abortion rate (hd to F)59
total NUtE [ratio]60
total grain N [mg]61
total shoot N [mg]62
Table 222. Provided are the wheat correlated parameters. “TP” = time point; “DW” = dry weight; “FW” = fresh weight; “Low N” = Low Nitrogen; ”Relative water content [percent]; “num” = number. “gr.” = grams; “cm” = centimeter; “Avr” = average; “RGR’ = relative growth rate; “BPE” = biomass production efficiency; “NHI” = Nitrogen harvest index; “NupE” = nitrogen uptake efficiency; “NutE” = nitrogen utilization efficiency; “SPAD” = chlorophyll levels; “F” = flowering stage; “h” = heading stage; “N” = nitrogen.
TABLE 223
Wheat correlated parameters under low N conditions vs. normal (vectors)
Correlated parameter withCorrelation ID
1000 grain weight [gr.]1
BPE [ratio]2
Fertile spikelets ratio [ratio]3
Grain area [mm2]4
Grain fill duration [days]5
Grains per spike [number]6
Grains per spikelet [number]7
Grains weight per spike [gr.]8
N use efficiency [ratio]9
NHI [ratio]10
NupE [ratio]11
Peduncle thickness [mm]12
Root length [cm]13
SPAD early-mid grain filling [SPAD unit]14
SPAD flowering [SPAD unit]15
Seminal roots [number]16
Shoot C/N [ratio]17
Spikelets per spike [number]18
Tiller abortion rate [ratio]19
Grain C/N ratio20
Grain NUtE [ratio]21
Grain protein [%]22
Peduncle volume [cm3]23
Specific N absorption [mg/gr]24
Specific root length [gr./cm]25
Tiller abortion rate (hd to F) [ratio]26
Total NUtE [ratio]27
Total grain N [mg]28
Total shoot N [mg]29
Table 223. Provided are the wheat correlated parameters. “TP” = time point; “DW” = dry weight; “FW” = fresh weight; “Low N” = Low Nitrogen; “Relative water content [percent]; “num” = number. “gr.” = grams; “cm” = centimeter; “Avr” = average; “RGR’ = relative growth rate; “BPE” = biomass production efficiency; “NHI” = Nitrogen harvest index; “NupE” = nitrogen uptake efficiency; “NutE” = nitrogen utilization efficiency; “SPAD” = chlorophyll levels; “F” = flowering stage; “h” = heading stage; “N” = nitrogen.

Fourteen different Wheat accessions were grown and characterized for different parameters as described above. Tables 222-223 describe the wheat correlated parameters. The average for each of the measured parameters was calculated using the JMP software and values are summarized in Tables 224-229 below. Subsequent correlation analysis between the various transcriptome sets and the average parameters was conducted (Tables 230-232). Follow, results were integrated to the database.

TABLE 224
Measured parameters of correlation IDs in wheat accessions under normal conditions
Line/
Corr.
IDLine-1Line-2Line-3Line-4Line-5Line-6Line-7
124.8119.3111.6329.689.2421.0522.14
21.5150.8381.4892.6431.2301.4450.665
35.6690.2750.3124.2830.3640.236NA
41.3560.8931.4142.5101.0141.5650.506
50.5810.3640.3380.4660.3700.611NA
674.0973.3181.6888.72NA75.72NA
70.1990.1650.1530.1840.1700.1910.137
827.8931.43NA30.02NA27.75NA
994.2368.65122.44123.90151.23105.1316.30
1019.6913.2922.7737.1621.5219.415.98
112.1661.2642.1862.932NA1.641NA
124.5362.7493.7565.9344.3164.8620.476
130.9500.5310.6961.7390.5900.8970.133
140.4830.3170.2760.4900.2570.3450.046
1513.8019.54NA22.46NA21.61NA
160.8580.916NA1.262NA1.054NA
1719.6526.79NA22.03NA25.53NA
1841.4653.77NA48.92NA53.08NA
196.605.606.206.605.805.606.40
2018.0013.0022.5011.5020.7518.50NA
210.0450.0270.0380.0590.0430.0490.005
220.4810.3060.2420.4330.2600.448NA
234.004.434.504.944.274.56NA
2460.2269.8885.2561.7883.0065.78105.00
2569.1173.0085.2569.5686.3871.25105.00
262.502.494.263.594.703.33NA
2727.2830.3921.2130.7126.1534.07NA
282.612.723.533.313.223.07NA
2945.5963.4169.3362.9168.0379.43NA
3076.29NA82.0376.11NA67.30NA
3131.1016.2028.1034.0637.8426.8831.98
320.890.070.201.010.360.500.63
3337.3328.34NA38.71NA46.47NA
3438.7531.0943.3040.2945.5444.93NA
3535.97NANA37.21NANANA
3611.206.008.0011.007.807.8010.20
3772.0568.3574.9161.3486.58121.52NA
380.6410.2500.4570.5570.4290.3690.580
390.7243.4662.3010.5521.1800.7400.920
409.526.278.4211.737.036.518.96
4122.3415.8122.4720.8626.6920.4330.39
428.486.519.548.1410.298.5113.41
431.391.181.121.680.831.020.89
4416.2417.2219.4016.93NA17.42NA
4519.58−10.0032.58−2.3146.1041.28NA
466.004.757.753.2513.139.75NA
474.005.897.004.2411.256.862.80
482.601.803.402.003.402.402.80
4975.2662.94109.0994.88128.46112.1672.40
50227.54111.47NA176.24NA549.02NA
5123.3528.6857.5330.5770.9852.2561.70
526.468.456.336.56NA1.20NA
5315.3814.7314.8615.3914.4613.33NA
540.040.020.010.030.010.03NA
5515.1215.7915.6114.9416.1317.49NA
561.461.762.082.642.132.51NA
57146.262391.371626.16201.95956.25367.62NA
580.030.000.010.030.010.020.02
59−50.0019.42−10.7123.31−16.67−42.19NA
600.3010.2530.2560.2640.2740.337NA
61120.3276.17102.85155.55122.14149.130.00
62129.59172.80322.79203.44347.42183.500.00
Table 224. Provided are the values of each of the parameters (as described above) measured in wheat accessions (Lines). Growth conditions are specified in the experimental procedure section. “NA” = not available. “Corr.”—correlation.
TABLE 225
Measured parameters of correlation IDs in additional wheat accessions under normal
conditions
Line/
Corr.
IDLine-8Line-9Line-10Line-11Line-12Line-13Line-14
115.0813.6120.7133.5216.6612.7413.43
21.5931.6701.9622.8941.6420.6180.419
30.2660.2790.4739.1115.109NANA
41.4161.4802.0562.4581.1580.4400.359
50.5810.2710.5560.8310.759NANA
683.7087.0578.9986.8375.82NANA
70.2040.1740.1830.1950.1720.1150.112
832.84NA29.2027.1026.48NANA
9106.83103.09141.63139.2385.3813.1018.57
1020.0023.4130.0334.0018.495.076.60
111.8281.9342.3032.8032.283NANA
125.2944.1116.0076.9073.5890.3962.531
130.9620.9261.2601.6860.7770.0910.772
140.4060.3260.4230.4800.4510.0330.175
1525.4423.3120.7916.2513.46NANA
161.1691.1161.1871.0120.828NANA
1727.8025.9121.6719.9819.81NANA
1858.9554.2946.1042.2540.93NANA
195.405.405.206.006.205.005.00
2011.0023.7519.0012.5018.75NANA
210.0530.0410.0600.0690.036NANA
220.4720.2290.4030.5420.536NANA
234.214.574.944.693.94NANA
2468.7574.2968.7558.8957.11106.2577.00
2571.8878.0072.3867.3368.67105.00NA
263.284.783.513.041.81NANA
2729.7825.4427.4128.1321.53NANA
283.063.253.513.021.92NANA
2961.8662.3359.1855.2344.72NANA
3073.33NA70.9480.7274.88NANA
3123.4236.0238.8837.2033.0022.3834.60
320.110.160.521.040.540.270.25
3338.6235.8045.5846.9535.32NANA
3438.9836.1046.4342.8934.15NANA
35NANANA46.2735.81NANA
366.006.208.2010.807.606.607.80
3795.6554.2388.39110.33103.07NANA
380.3390.4470.4610.5200.4270.3310.386
393.1162.7550.8910.4980.7851.2381.532
409.889.4310.3312.389.537.338.14
4120.8120.8921.3422.7618.7222.7427.02
428.118.258.579.137.469.6911.24
431.501.431.551.641.521.030.92
4416.2217.2518.8419.5616.93NANA
45−25.8834.2627.411.1825.60NANA
464.256.756.754.256.25NANA
475.325.814.573.193.431.802.80
482.201.601.801.602.001.802.80
49100.76100.02116.56115.8963.7571.40109.78
50431.85231.67188.34186.23269.35NANA
5139.9947.8944.8237.4720.8663.48102.17
528.577.477.416.175.30NANA
5313.9915.3317.2617.1115.05NANA
540.030.010.030.050.04NANA
5516.6715.1413.4213.6015.44NANA
562.192.112.652.020.62NANA
571596.152272.98404.96133.54154.31NANA
580.000.000.010.030.02NANA
5920.05−16.08−47.66−33.21−82.29NANA
600.3070.2090.3320.3810.352NANA
61154.79109.19141.44164.8297.18NANA
62173.47368.56209.50139.4883.97NANA
Table 225. Provided are the values of each of the parameters (as described above) measured in wheat accessions (Lines). Growth conditions are specified in the experimental procedure section. “NA” = not available. “Corr.”—correlation.
TABLE 226
Measured parameters of correlation IDs in wheat accessions
under low N conditions
Line/
Corr.
IDLine-1Line-2Line-3Line-4Line-5Line-6Line-7
114.1625.1714.3831.8716.4517.7318.58
23.132.013.005.551.323.310.83
30.2860.3290.3040.5020.2280.319NA
41.3640.9931.7582.6561.1161.4520.790
50.9180.9300.7401.0050.6750.887NA
671.7867.6390.5186.8385.6386.2990.18
70.1770.1640.1370.1750.1540.1810.121
827.5431.5727.1133.1422.4333.75NA
978.6567.4495.7371.4881.5370.1023.67
1025.3020.1239.4443.8321.0724.538.38
112.691.732.943.571.932.450.69
123.432.502.983.292.542.931.26
131.0620.7461.2202.0210.6410.9700.402
140.5060.4100.3800.5030.2680.3760.092
1515.2820.23NA11.13NA15.37NA
160.9391.010NA0.802NA0.903NA
1720.0124.79NA16.84NA21.17NA
1843.9953.54NA35.89NA43.81NA
196.406.406.806.006.006.205.00
20NANANANA6.25NANA
210.1370.1000.1190.1320.1020.1170.051
220.5440.4900.4160.6570.2820.558NA
234.1254.0774.4384.7503.9383.813NA
2457.5667.1176.2261.3380.6365.11109.00
2568.8973.0077.8968.0082.5771.25105.00
265.033.926.226.077.615.990.00
2725.9139.5844.7032.3120.7943.84NA
282.452.853.543.592.883.42NA
2947.4881.1285.3661.3162.2994.38NA
3078.0875.0484.4184.12NA82.70NA
3134.6033.3633.1032.0038.6041.9036.90
320.7770.6290.2841.1000.4770.6820.608
3341.1126.03NA38.94NA38.05NA
3440.3832.1738.1942.4537.4942.30NA
3533.10NANA32.57NANANA
3611.208.0010.009.607.008.808.20
37137.82165.87187.00144.70183.80182.45NA
380.4480.4820.6370.5110.3870.5520.478
390.5770.7662.2420.4650.8120.8100.786
408.055.907.3111.088.297.389.73
4118.4815.5419.5719.8423.8820.1132.44
427.326.318.177.8710.058.7014.36
431.2851.1031.1281.5141.0341.0670.916
4416.2016.2917.4916.4417.9716.4920.62
4517.3336.3646.1133.0051.9453.20NA
463.755.504.502.507.756.25NA
474.144.224.293.006.055.292.40
481.802.604.201.603.202.802.40
4952.6646.5567.1852.3692.3358.7989.95
50201.42190.89NA182.97NA148.36NA
5119.1219.5540.0517.7059.0428.3074.95
525.777.706.646.17NANANA
5326.6522.9123.3724.0532.5723.51NA
540.0600.0500.0330.0630.0190.044NA
558.609.969.819.587.099.80NA
561.222.524.393.261.364.020.00
57161.96155.87547.22138.06399.44219.78NA
580.0220.0190.0090.0340.0120.016NA
599.48−30.26−5.0016.67−28.15−18.24NA
600.4190.4750.4320.3450.4850.392NA
6168.4248.0164.6599.7253.6983.57NA
6257.3750.0490.7852.09136.6966.27NA
Table 226. Provided are the values of each of the parameters (as described above) measured in wheat accessions (Lines). Growth conditions are specified in the experimental procedure section. “NA” = not available. “Cor.”—correlation.
TABLE 227
Measured parameters of correlation IDs in additional wheat
accessions under low N conditions
Line/
Corr.
IDLine-8Line-9Line-10Line-11Line-12Line-13Line-14
115.419.5224.1825.3713.4521.4515.71
22.963.215.225.012.981.140.84
30.3710.3390.6970.5750.266NANA
41.4571.5162.6032.5001.2621.0850.711
50.8090.8060.5410.8880.761NANA
678.6679.0880.6680.5875.6883.3481.51
70.1910.1610.1660.1690.1590.1340.121
831.4331.9331.1430.3727.98NANA
957.7074.7583.6081.6073.1367.6624.52
1019.9124.8446.5140.9322.1122.967.78
111.852.293.583.622.262.020.63
122.772.633.273.412.751.500.92
130.9320.8791.8191.6720.8320.5060.198
140.3860.3260.4200.4640.4510.1650.142
1513.3718.0714.6516.7812.92NANA
160.8060.9760.9450.9340.922NANA
1719.7922.1419.6022.2618.02NANA
1841.8546.5145.2046.5838.43NANA
195.605.406.006.006.005.805.40
20NANANANANANANA
210.1110.1050.1310.1370.110NANA
220.5630.4660.4530.6600.507NANA
233.3134.2503.5334.5634.563NANA
2465.5670.0066.4458.4453.11103.56109.00
2571.0072.5773.0067.7868.44101.13105.00
266.246.008.407.495.44NANA
2742.7237.8132.5027.6624.56NANA
283.163.233.693.512.44NANA
2974.4480.1964.5661.8154.06NANA
3072.5453.6484.0479.5386.25NANA
3132.1632.9037.3036.4427.4032.2033.00
320.6530.7451.5081.0510.7200.4030.596
3332.0631.4841.4545.3435.17NANA
3438.7936.31NA45.1434.60NANA
35NANANA37.8729.01NANA
369.208.8011.4010.4010.807.007.40
37134.09149.7792.57132.22122.57NANA
380.6610.5950.6100.6030.6280.4250.429
391.0130.7980.4050.5740.8731.0550.720
408.217.7710.7410.177.267.279.72
4118.6818.6520.3118.9716.2921.7730.30
427.006.998.087.446.439.0113.43
431.4031.3951.5051.5711.3271.1211.047
4415.1617.2018.5318.0017.1318.3818.97
4535.0052.0044.6231.6716.88NANA
464.506.253.253.004.00NANA
474.763.903.653.194.103.202.40
483.202.402.802.002.003.202.40
4955.2164.5062.1656.5551.0884.8291.80
50100.45237.33109.86273.83230.90NANA
5122.3528.2324.7119.8119.4763.2075.93
529.317.495.635.464.75NANA
5324.3523.7525.3922.6220.96NANA
540.0410.0330.0280.0540.041NANA
559.469.699.0210.2010.94NANA
563.343.093.462.681.14NANA
57238.94201.24139.26178.14188.90NANA
580.0200.0230.0400.0290.026NANA
595.50−60.0610.965.972.33NANA
600.3540.4300.2960.3020.376NANA
6187.8269.8995.05123.6268.89NANA
6268.2180.06114.8963.6567.08NANA
Table 227. Provided are the values of each of the parameters (as described above) measured in wheat accessions (Lines). Growth conditions are specified in the experimental procedure section. “NA” = not available. “Cor.”—correlation.
TABLE 228
Additional measured parameters of correlation IDs in wheat
accessions under low N vs. normal conditions (ratio)
Line/
Corr.
IDLine-1Line-2Line-3Line-4Line-5Line-6Line-7
10.571.301.241.071.780.840.84
21.5802.5552.1902.1551.8271.451NA
30.9690.9221.1080.979NA1.140NA
40.8890.9900.8970.9480.9050.9500.880
50.9871.005NA1.104NA1.216NA
61.281.511.731.180.981.261.40
71.241.371.341.22NA1.49NA
81.121.411.751.161.091.083.03
93.0263.6343.1702.2172.3542.40810.621
101.1301.6011.7211.5161.0841.244NA
112.0131.5751.4611.6911.6221.802NA
120.9391.0491.0011.0840.8951.114NA
131.1132.0591.1780.9401.0201.5591.154
141.1010.918NA1.006NA0.819NA
151.0421.0350.8821.0540.8230.941NA
161.0001.3331.2500.8730.8971.1280.804
171.9132.4272.4962.3592.1231.501NA
180.9970.9460.9010.971NA0.946NA
190.885−3.6361.415−14.3001.1271.289NA
201.7331.5561.5721.5632.2521.764NA
211.7093.1382.8182.1651.4961.667NA
220.5690.6300.6290.6410.4400.560NA
230.8381.4322.1131.2360.6361.598NA
241.1070.0650.3370.6840.4180.598NA
250.7884.2271.2151.1621.2860.876NA
26−0.190−1.5580.4670.7151.6890.432NA
271.3901.8781.6861.3051.7731.164NA
280.5690.6300.6290.6410.4400.560NA
290.4430.2900.2810.2560.3930.361NA
Table 228. Provided are the values of each of the parameters (as described above) measured in wheat accessions (Lines). Growth conditions are specified in the experimental procedure section. “NA” = not available. “Cor.”—correlation.
TABLE 229
Additional measured parameters of correlation IDs in wheat
accessions under low N vs. normal conditions (ratio)
Line/
Corr.
IDLine-8Line-9Line-10Line-11Line-12Line-13Line-14
11.020.701.170.760.811.681.17
21.3932.9690.9721.0691.003NANA
30.9400.9081.0210.9280.998NANA
40.9370.9240.9030.8660.9231.1691.079
50.957NA1.0671.1211.057NANA
61.001.061.551.201.204.521.18
71.011.191.551.290.99NANA
80.970.951.440.991.075.540.26
92.0972.5592.1791.9773.070NANA
101.1942.0391.1231.2190.944NANA
111.9011.2552.3932.4623.002NANA
121.0310.9921.0501.1621.269NANA
131.3730.9130.9590.9800.8301.4390.954
140.8300.8790.9090.9660.996NANA
150.9951.006NA1.0521.013NANA
161.5331.4191.3900.9631.4211.0610.949
171.4022.7621.0471.1981.189NANA
180.9340.9970.9830.9201.012NANA
19−1.3521.5181.62826.9170.659NANA
201.7411.5501.4711.3221.393NANA
211.3332.9450.9931.0830.961NANA
220.5670.6400.6720.7500.709NANA
231.5261.4641.3081.3291.836NANA
240.1500.0890.3441.3341.224NANA
254.3765.0313.0371.0281.593NANA
260.2743.734−0.230−0.180−0.028NANA
271.1532.0550.8910.7931.068NANA
280.5670.6400.6720.7500.709NANA
290.3930.2170.5480.4560.799NANA
Table 229. Provided are the values of each of the parameters (as described above) measured in wheat accessions (Lines). Growth conditions are specified in the experimental procedure section. “NA” = not available. “Cor.”—correlation
TABLE 230
Correlation between the expression level of selected genes of some embodiments
of the invention in various tissues and the phenotypic performance under normal
conditions across wheat accessions
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY2140.732.70E−02318LBY2140.732.60E−02317
LBY2140.712.06E−02147LBY2140.805.46E−03129
LBY2140.796.57E−03151LBY2140.805.42E−02537
LBY2140.721.96E−02636LBY2140.721.18E−02854
LBY2140.749.54E−0385LBY2140.757.36E−03860
LBY2150.944.95E−04216LBY2150.886.72E−04212
LBY2150.722.00E−02214LBY2150.832.73E−03256
LBY2150.886.72E−04221LBY2150.712.24E−02243
LBY2150.741.52E−02240LBY2150.712.11E−0222
LBY2150.888.88E−04261LBY2150.721.82E−0227
LBY2150.848.79E−03250LBY2150.788.14E−03213
LBY2150.721.86E−0224LBY2150.714.83E−02715
LBY2150.791.85E−02718LBY2150.762.80E−02717
LBY2150.712.21E−02755LBY2150.857.17E−03750
LBY2150.784.47E−0331LBY2150.794.13E−03332
LBY2150.721.31E−02312LBY2150.731.12E−02314
LBY2150.775.65E−03358LBY2150.757.39E−0333
LBY2150.721.31E−02321LBY2150.793.65E−03343
LBY2150.942.09E−05340LBY2150.927.61E−0532
LBY2150.841.26E−03336LBY2150.938.73E−05311
LBY2150.874.71E−04313LBY2150.822.15E−0334
LBY2150.831.39E−03310LBY2150.851.65E−03146
LBY2150.796.14E−03124LBY2150.904.53E−04147
LBY2150.712.13E−02129LBY2150.787.38E−03125
LBY2150.721.79E−02141LBY2150.796.41E−03142
LBY2150.761.79E−02150LBY2150.842.49E−03149
LBY2150.937.35E−05151LBY2150.751.25E−02432
LBY2150.721.89E−02414LBY2150.842.37E−03458
LBY2150.823.74E−03422LBY2150.751.29E−0247
LBY2150.724.22E−02450LBY2150.741.49E−02937
LBY2150.824.06E−03912LBY2150.824.06E−03921
LBY2150.891.31E−03933LBY2150.814.28E−03961
LBY2150.752.10E−02950LBY2150.891.77E−0251
LBY2150.929.72E−03532LBY2150.805.81E−02514
LBY2150.891.72E−0256LBY2150.901.52E−02558
LBY2150.815.16E−0253LBY2150.954.01E−03543
LBY2150.881.94E−02540LBY2150.911.21E−0252
LBY2150.786.96E−02561LBY2150.853.33E−02536
LBY2150.936.35E−03511LBY2150.843.70E−02513
LBY2150.805.62E−0254LBY2150.721.07E−01519
LBY2150.834.11E−02510LBY2150.702.31E−02637
LBY2150.721.77E−02655LBY2150.962.19E−04650
LBY2150.812.54E−0381LBY2150.851.00E−03832
LBY2150.784.39E−03812LBY2150.831.39E−03814
LBY2150.841.28E−03858LBY2150.793.60E−0383
LBY2150.749.07E−03854LBY2150.784.39E−03821
LBY2150.701.61E−02843LBY2150.803.39E−03840
LBY2150.859.66E−0482LBY2150.841.31E−03836
LBY2150.852.06E−03811LBY2150.851.02E−03813
LBY2150.859.09E−0484LBY2150.802.83E−03810
LBY2160.762.93E−02250LBY2160.814.37E−03736
LBY2160.912.51E−04462LBY2160.761.00E−02424
LBY2160.895.12E−04426LBY2160.796.90E−03425
LBY2160.712.03E−02420LBY2160.722.89E−02915
LBY2160.797.00E−03929LBY2160.732.55E−02918
LBY2160.817.91E−03950LBY2160.711.17E−0153
LBY2160.862.99E−02548LBY2160.721.07E−01522
LBY2160.715.07E−02650LBY2160.803.30E−03824
LBY2160.748.72E−03825LBY2170.796.55E−03227
LBY2170.953.06E−05462LBY2170.779.70E−03424
LBY2170.944.47E−05426LBY2170.779.02E−03425
LBY2170.741.43E−02451LBY2170.883.38E−04862
LBY2170.803.04E−03826LBY2170.757.45E−03825
LBY2180.861.36E−02230LBY2180.749.56E−03332
LBY2180.757.99E−03314LBY2180.758.44E−03358
LBY2180.812.58E−0333LBY2180.711.48E−02354
LBY2180.749.23E−03319LBY2180.804.97E−0311
LBY2180.778.62E−03132LBY2180.826.53E−0316
LBY2180.823.97E−03158LBY2180.712.07E−0213
LBY2180.823.53E−0312LBY2180.787.83E−03136
LBY2180.771.50E−02111LBY2180.805.46E−03113
LBY2180.787.69E−0314LBY2180.842.34E−03119
LBY2180.823.90E−03110LBY2180.712.17E−02955
LBY2180.701.18E−01532LBY2180.796.36E−02514
LBY2180.749.39E−02558LBY2180.777.05E−0253
LBY2180.805.41E−02522LBY2180.872.34E−02519
LBY2180.945.98E−04650LBY2180.766.58E−0381
LBY2180.784.63E−03832LBY2180.711.46E−02814
LBY2180.812.56E−03858LBY2180.859.31E−0483
LBY2180.821.82E−03854LBY2180.793.65E−03822
LBY2180.803.23E−0385LBY2190.742.28E−02244
LBY2190.779.11E−03738LBY2190.721.85E−02736
LBY2190.835.17E−03711LBY2190.823.30E−03719
LBY2190.833.24E−03114LBY2190.779.43E−03154
LBY2190.804.97E−03143LBY2190.779.18E−03140
LBY2190.702.35E−0215LBY2190.808.93E−03111
LBY2190.761.15E−02948LBY2200.764.71E−02730
LBY2200.751.22E−0211LBY2200.755.34E−02130
LBY2200.938.31E−05114LBY2200.712.25E−0213
LBY2200.796.64E−03154LBY2200.721.85E−02122
LBY2200.814.40E−03153LBY2200.912.36E−04143
LBY2200.904.20E−04140LBY2200.814.68E−0312
LBY2200.909.18E−04111LBY2200.842.10E−03113
LBY2200.779.01E−0314LBY2200.712.04E−02110
LBY2200.702.34E−02439LBY2200.772.64E−02930
LBY2200.712.08E−02924LBY2200.779.03E−03948
LBY2200.796.15E−03925LBY2200.882.02E−02546
LBY2200.786.81E−02531LBY2200.872.40E−02548
LBY2200.749.23E−02534LBY2200.929.20E−03520
LBY2200.872.26E−02545LBY2200.811.40E−02615
LBY2200.743.64E−02616LBY2200.832.64E−03656
LBY2200.778.69E−03629LBY2200.762.88E−02633
LBY2200.712.26E−02649LBY2200.757.57E−03837
LBY2200.722.83E−02850LBY2210.711.34E−0233
LBY2210.786.91E−02548LBY2210.701.21E−01550
LBY2220.788.27E−03227LBY2220.763.02E−02250
LBY2220.749.74E−0331LBY2220.794.18E−03332
LBY2220.775.53E−03358LBY2220.911.24E−0433
LBY2220.812.62E−03354LBY2220.803.32E−0335
LBY2220.749.56E−03360LBY2220.751.17E−02124
LBY2220.741.37E−02147LBY2220.741.44E−02125
LBY2220.713.23E−02133LBY2220.721.86E−02142
LBY2220.702.37E−02151LBY2220.751.26E−02455
LBY2220.849.19E−03450LBY2220.881.70E−03950
LBY2220.711.16E−01514LBY2220.796.01E−02558
LBY2220.711.12E−0153LBY2220.834.30E−02548
LBY2220.767.95E−02538LBY2220.749.31E−02536
LBY2220.962.14E−03519LBY2220.892.98E−03650
LBY2220.701.64E−0281LBY2220.841.19E−03832
LBY2220.731.15E−02814LBY2220.841.23E−03858
LBY2220.831.56E−0383LBY2220.803.04E−03838
LBY2220.749.40E−0382LBY2220.822.11E−03836
LBY2220.833.00E−03811LBY2220.731.09E−02813
LBY2220.841.27E−03819LBY2240.761.03E−02214
LBY2240.842.57E−03254LBY2240.842.18E−03222
LBY2240.702.34E−02261LBY2240.805.83E−0327
LBY2240.796.49E−0325LBY2240.831.03E−02250
LBY2240.726.86E−02730LBY2240.826.56E−03711
LBY2240.724.21E−02330LBY2240.731.70E−02132
LBY2240.823.79E−03114LBY2240.832.78E−0313
LBY2240.888.49E−04154LBY2240.778.91E−03122
LBY2240.852.02E−03143LBY2240.741.38E−02140
LBY2240.796.69E−0312LBY2240.851.89E−0315
LBY2240.721.87E−02160LBY2240.872.38E−03111
LBY2240.751.20E−02113LBY2240.712.09E−02110
LBY2240.796.71E−03928LBY2240.721.83E−02956
LBY2240.842.39E−03934LBY2240.823.49E−0399
LBY2240.723.03E−02933LBY2240.779.72E−03949
LBY2240.741.43E−02923LBY2240.936.93E−0351
LBY2240.833.89E−02532LBY2240.721.09E−01512
LBY2240.701.19E−01514LBY2240.882.01E−0256
LBY2240.777.12E−02558LBY2240.843.57E−0253
LBY2240.711.15E−01554LBY2240.721.09E−01521
LBY2240.805.69E−02543LBY2240.843.48E−02540
LBY2240.911.27E−0252LBY2240.777.40E−02561
LBY2240.721.05E−01536LBY2240.843.62E−02511
LBY2240.843.82E−02513LBY2240.777.08E−0254
LBY2240.758.35E−02510LBY2240.832.65E−03653
LBY2250.721.96E−02753LBY2250.791.17E−02744
LBY2250.802.88E−03331LBY2250.784.51E−03353
LBY2250.895.46E−04462LBY2250.772.49E−02415
LBY2250.814.33E−03424LBY2250.726.72E−0248
LBY2250.824.01E−03426LBY2250.731.70E−02457
LBY2250.787.51E−03425LBY2250.721.99E−02451
LBY2250.786.53E−0253LBY2250.796.36E−02554
LBY2250.862.84E−02522LBY2250.768.01E−0255
LBY2250.824.68E−02550LBY2250.928.98E−03519
LBY2250.831.60E−03862LBY2250.757.43E−03826
LBY2250.721.23E−02825LBY2250.711.52E−02820
LBY2270.714.85E−02250LBY2270.841.38E−0333
LBY2270.767.06E−03354LBY2270.701.63E−0235
LBY2270.788.25E−03146LBY2270.814.76E−03148
LBY2270.805.58E−03955LBY2270.964.82E−05950
LBY2270.749.25E−0253LBY2270.758.41E−02554
LBY2270.815.23E−02522LBY2270.712.17E−02655
LBY2270.921.09E−03650LBY2270.711.34E−02832
LBY2270.882.96E−0483LBY2270.841.12E−03854
LBY2270.721.17E−02822LBY2270.831.60E−0385
LBY2270.749.40E−03860LBY2280.711.53E−0235
LBY2280.831.10E−02450LBY2280.751.26E−02946
LBY2300.796.04E−03231LBY2300.752.11E−02744
LBY2300.758.50E−03357LBY2300.912.31E−04146
LBY2300.721.92E−02147LBY2300.712.04E−02120
LBY2300.778.94E−03145LBY2300.787.98E−03428
LBY2300.761.09E−02462LBY2300.721.83E−02424
LBY2300.724.36E−02416LBY2300.796.28E−03426
LBY2300.712.07E−02449LBY2300.731.57E−02451
LBY2300.731.03E−01553LBY2300.749.19E−02533
LBY2300.824.60E−0257LBY2300.721.08E−01560
LBY2300.805.76E−02541LBY2300.834.22E−02542
LBY2300.731.65E−02632LBY2300.761.01E−02658
LBY2300.751.21E−02636LBY2310.871.20E−03719
LBY2310.731.13E−02329LBY2310.781.35E−02350
LBY2310.771.42E−02111LBY2310.832.95E−03961
LBY2310.779.13E−0397LBY2310.796.21E−02562
LBY2310.749.49E−02515LBY2310.986.52E−04524
LBY2310.815.18E−02547LBY2310.796.02E−0258
LBY2310.786.82E−02529LBY2310.777.36E−02518
LBY2310.901.35E−02525LBY2310.758.43E−02517
LBY2310.901.39E−02552LBY2310.924.28E−04644
LBY2310.758.36E−03824LBY2310.711.45E−02825
LGN10.731.64E−02740LGN10.787.33E−0372
LGN10.827.07E−03711LGN10.702.33E−02710
LGN10.721.90E−0212LGN10.835.45E−03111
LGN10.721.89E−02113LGN10.823.70E−03110
LGN10.805.93E−03437LGN10.778.63E−03454
LGN10.805.20E−03422LGN10.861.59E−0345
LGN10.805.26E−03460LGN10.714.70E−02450
LGN10.758.63E−02528LGN10.824.40E−02562
LGN10.872.57E−02515LGN10.834.12E−02524
LGN10.872.60E−02516LGN10.767.94E−0258
LGN10.767.64E−02556LGN10.911.13E−02529
LGN10.767.73E−02526LGN10.814.85E−02518
LGN10.749.17E−02525LGN10.758.79E−02517
LGN10.758.86E−02552LGN10.767.83E−02523
LGN10.851.44E−0268LGN10.771.46E−02644
Table 230. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID“—correlation set ID according to the correlated parameters specified in Table 222. “Exp. Set”—Expression set specified in Table 219. “R” = Pearson correlation coefficient; “P” = p value.
TABLE 231
Correlation between the expression level of selected genes of some embodiments
of the invention in various tissues and the phenotypic performance under low
N conditions across wheat accessions
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY2140.731.12E−0225LBY2140.722.99E−02250
LBY2140.755.45E−02319LBY2140.702.32E−02534
LBY2140.721.32E−02843LBY2140.812.45E−0387
LBY2140.778.48E−03755LBY2140.721.07E−0141
LBY2140.796.03E−02422LBY2140.749.32E−02450
LBY2140.795.96E−02423LBY2140.766.33E−03122
LBY2140.766.78E−0317LBY2150.757.41E−03522
LBY2150.711.54E−02861LBY2150.731.75E−02743
LBY2150.853.35E−02430LBY2150.711.11E−01457
LBY2150.749.00E−02455LBY2150.701.21E−01439
LBY2150.713.14E−02118LBY2160.812.79E−02332
LBY2160.726.81E−02358LBY2160.764.76E−0233
LBY2160.707.69E−02310LBY2160.721.91E−02748
LBY2160.811.59E−02752LBY2160.701.20E−01455
LBY2160.822.01E−03646LBY2160.731.07E−02637
LBY2160.757.38E−03647LBY2160.757.61E−03631
LBY2160.748.59E−03642LBY2160.749.35E−03651
LBY2170.783.69E−02324LBY2170.941.58E−03331
LBY2170.726.83E−02353LBY2170.803.24E−02345
LBY2170.822.48E−02341LBY2170.783.98E−02342
LBY2170.726.99E−02349LBY2170.767.15E−03547
LBY2170.702.32E−02762LBY2170.761.09E−02726
LBY2170.711.38E−02624LBY2170.721.17E−02625
LBY2180.749.74E−03214LBY2180.721.16E−02254
LBY2180.761.64E−02250LBY2180.927.40E−05223
LBY2180.758.22E−03857LBY2180.901.54E−04839
LBY2180.711.16E−01412LBY2180.921.05E−02414
LBY2180.786.54E−02454LBY2180.843.85E−02422
LBY2180.711.16E−01421LBY2180.749.53E−0247
LBY2180.721.04E−0145LBY2180.824.73E−02423
LBY2180.812.56E−03114LBY2180.775.67E−03154
LBY2180.701.63E−02654LBY2180.891.41E−03650
LBY2190.775.37E−03262LBY2190.748.97E−03224
LBY2190.721.33E−0226LBY2190.757.98E−03245
LBY2190.841.13E−03241LBY2190.841.11E−03242
LBY2190.711.35E−02249LBY2190.748.75E−03251
LBY2190.707.86E−02347LBY2190.889.63E−03357
LBY2190.707.97E−02349LBY2190.803.05E−02319
LBY2190.745.97E−02351LBY2190.841.14E−03819
LBY2190.891.68E−02455LBY2190.757.56E−03114
LBY2190.731.07E−0212LBY2190.749.63E−03136
LBY2190.749.16E−0368LBY2190.821.98E−03626
LBY2190.731.09E−0262LBY2200.761.86E−02215
LBY2200.711.43E−02248LBY2200.721.17E−02257
LBY2200.751.96E−02218LBY2200.757.50E−0329
LBY2200.791.15E−02217LBY2200.892.26E−04239
LBY2200.739.85E−02316LBY2200.758.50E−02318
LBY2200.711.50E−02562LBY2200.802.87E−03532
LBY2200.775.72E−03558LBY2200.784.95E−0353
LBY2200.757.98E−03540LBY2200.775.42E−0359
LBY2200.701.61E−0252LBY2200.775.94E−03513
LBY2200.748.98E−0354LBY2200.731.12E−02510
LBY2200.742.40E−02816LBY2200.711.41E−02839
LBY2200.753.16E−02716LBY2200.788.16E−03748
LBY2200.788.05E−03757LBY2200.871.23E−03739
LBY2200.768.01E−02412LBY2200.768.01E−02421
LBY2200.796.29E−0249LBY2200.853.03E−02433
LBY2200.739.78E−02436LBY2200.766.54E−0313
LBY2200.721.33E−02138LBY2200.721.28E−02136
LBY2200.713.15E−02652LBY2210.761.66E−02250
LBY2210.731.00E−01316LBY2210.749.31E−02352
LBY2210.771.60E−02515LBY2210.791.10E−02516
LBY2210.843.55E−02412LBY2210.749.17E−02431
LBY2210.929.15E−03453LBY2210.843.55E−02421
LBY2210.834.17E−0247LBY2210.749.60E−02441
LBY2210.748.93E−02442LBY2210.748.78E−0317
LBY2220.758.45E−03214LBY2220.701.65E−02254
LBY2220.775.36E−03222LBY2220.805.59E−02350
LBY2220.707.85E−02323LBY2220.711.13E−01437
LBY2220.834.29E−02454LBY2220.979.79E−04422
LBY2220.834.28E−0245LBY2220.767.99E−02450
LBY2220.936.33E−03423LBY2220.853.82E−03115
LBY2220.722.93E−02118LBY2220.844.94E−03117
LBY2220.836.02E−03150LBY2220.826.45E−03633
LBY2220.701.57E−02645LBY2220.802.81E−03641
LBY2220.841.34E−03642LBY2220.784.98E−03649
LBY2220.711.47E−02651LBY2240.871.05E−02346
LBY2240.774.40E−02337LBY2240.755.31E−02324
LBY2240.932.37E−03347LBY2240.941.71E−03357
LBY2240.841.73E−02353LBY2240.832.16E−02325
LBY2240.726.85E−02360LBY2240.736.25E−02342
LBY2240.851.47E−02349LBY2240.914.12E−03351
LBY2240.812.68E−03828LBY2240.757.86E−0386
LBY2240.749.32E−03813LBY2240.711.52E−0284
LBY2240.841.17E−03810LBY2240.712.27E−02757
LBY2240.814.82E−02414LBY2240.862.79E−02457
LBY2240.739.62E−02436LBY2240.777.54E−02459
LBY2240.749.92E−03114LBY2240.721.25E−02136
LBY2250.766.91E−03228LBY2250.721.32E−0228
LBY2250.748.83E−03245LBY2250.775.15E−03241
LBY2250.736.37E−02345LBY2250.821.81E−03556
LBY2250.748.75E−03527LBY2250.731.09E−02510
LBY2250.814.65E−03732LBY2250.823.55E−03712
LBY2250.779.29E−0373LBY2250.854.10E−03734
LBY2250.823.55E−03721LBY2250.937.80E−04733
LBY2250.823.62E−0372LBY2250.741.45E−02761
LBY2250.851.77E−03711LBY2250.741.40E−02713
LBY2250.751.29E−0274LBY2250.702.38E−02710
LBY2250.786.57E−02414LBY2250.786.60E−02454
LBY2250.971.16E−03422LBY2250.739.98E−02450
LBY2250.872.28E−02423LBY2250.822.08E−03642
LBY2270.722.74E−02250LBY2270.775.57E−03223
LBY2270.774.38E−02314LBY2270.783.93E−02354
LBY2270.727.04E−02355LBY2270.766.91E−03539
LBY2270.721.07E−01457LBY2270.777.06E−02450
LBY2270.795.99E−02423LBY2270.793.97E−03154
LBY2270.749.50E−03122LBY2270.775.20E−0315
LBY2300.861.27E−0231LBY2300.726.83E−02332
LBY2300.774.32E−0233LBY2300.701.54E−02832
LBY2300.721.22E−02858LBY2300.721.21E−0283
LBY2300.711.39E−02840LBY2300.775.39E−0382
LBY2300.841.19E−03811LBY2300.875.05E−04813
LBY2300.812.52E−0384LBY2300.874.87E−04810
LBY2300.857.36E−03715LBY2300.715.03E−02716
LBY2300.831.02E−02718LBY2300.831.15E−02717
LBY2300.896.17E−04760LBY2300.703.54E−02150
LBY2300.748.60E−03123LBY2310.721.26E−02239
LBY2310.721.25E−02528LBY2310.867.90E−04510
LBY2310.784.79E−03827LBY2310.815.10E−0249
LBY2310.953.52E−03436LBY2310.701.19E−01449
LBY2310.721.31E−02132LBY2310.721.32E−02158
LBY2310.784.54E−0313LBY2310.803.00E−03140
LBY2310.858.93E−0412LBY2310.867.08E−04111
LBY2310.925.09E−05113LBY2310.892.60E−0414
LBY2310.911.13E−04110LBY2310.831.47E−03612
LBY2310.831.47E−03621LBY2310.867.26E−04643
LBY2310.827.06E−03633LBY2310.784.28E−0362
LBY2310.821.94E−03661LBY2310.775.29E−03636
LBY2310.775.60E−03611LBY2310.721.33E−02613
LBY2310.748.92E−0364LGN10.774.50E−02339
LGN10.821.80E−03548LGN10.874.53E−04557
LGN10.749.56E−0359LGN10.883.77E−04539
LGN10.749.20E−03857LGN10.802.86E−0389
LGN10.721.22E−02844LGN10.751.21E−02748
LGN10.796.71E−03757LGN10.903.51E−04739
LGN10.953.79E−03430LGN10.843.81E−0246
LGN10.739.62E−02458LGN10.891.64E−02422
LGN10.777.10E−02443LGN10.731.03E−0142
LGN10.795.96E−02461LGN10.768.00E−02423
LGN10.757.80E−03158
Table 231. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID“—correlation set ID according to the correlated parameters specified in Table 222. “Exp. Set”—Expression set specified in Table 220. “R” = Pearson correlation coefficient; “P” = p value
TABLE 232
Correlation between the expression level of selected genes of some embodiments
of the invention in various tissues and the phenotypic performance under low
N vs. normal (ratio) conditions across wheat accessions
GeneExp.Corr.GeneExp.Corr.
NameRP valuesetSet IDNameRP valuesetSet ID
LBY2140.711.37E−0229LBY2140.701.55E−0222
LBY2140.803.13E−03221LBY2140.958.68E−0439
LBY2140.717.53E−0234LBY2140.707.98E−02313
LBY2140.764.82E−0238LBY2140.736.16E−0236
LBY2140.731.73E−02712LBY2140.771.53E−02614
LBY2150.917.19E−04214LBY2150.736.16E−02311
LBY2150.803.21E−02329LBY2150.822.52E−02312
LBY2150.736.37E−02323LBY2150.803.33E−03829
LBY2150.882.06E−02411LBY2150.901.34E−02429
LBY2150.796.24E−02412LBY2150.701.20E−01423
LBY2160.766.34E−03229LBY2160.911.22E−0237
LBY2160.841.82E−0238LBY2160.841.75E−0236
LBY2160.721.04E−01411LBY2160.805.48E−02429
LBY2160.767.67E−02412LBY2160.749.51E−02423
LBY2160.721.34E−0216LBY2160.758.50E−03620
LBY2170.815.25E−0237LBY2170.812.51E−0361
LBY2180.721.23E−02224LBY2180.809.86E−03214
LBY2180.786.89E−02314LBY2180.945.37E−03318
LBY2180.761.08E−02712LBY2180.777.56E−02424
LBY2180.777.26E−02414LBY2180.814.85E−03115
LBY2180.872.13E−03114LBY2180.844.77E−03614
LBY2180.767.22E−03619LBY2190.745.78E−02313
LBY2190.912.87E−04518LBY2190.767.07E−0389
LBY2190.945.86E−03412LBY2190.711.15E−01428
LBY2190.711.15E−01422LBY2190.953.47E−03423
LBY2200.721.22E−0228LBY2200.851.55E−02313
LBY2200.784.01E−0238LBY2200.726.67E−0236
LBY2200.731.09E−0289LBY2200.712.08E−0279
LBY2200.824.68E−02424LBY2200.872.55E−02419
LBY2200.766.81E−0316LBY2210.721.24E−02224
LBY2210.731.14E−02219LBY2210.841.87E−0239
LBY2210.745.57E−02317LBY2210.755.41E−0232
LBY2210.851.46E−02321LBY2210.811.47E−0265
LBY2220.793.89E−03211LBY2220.793.83E−03224
LBY2220.751.31E−02215LBY2220.859.33E−04212
LBY2220.774.12E−02326LBY2220.823.59E−03724
LBY2220.893.38E−03714LBY2220.921.26E−0365
LBY2240.951.30E−03320LBY2240.841.07E−03510
LBY2240.784.87E−0352LBY2240.731.11E−0288
LBY2240.821.23E−02714LBY2240.853.28E−02411
LBY2240.824.64E−02429LBY2240.872.52E−02424
LBY2240.749.14E−02412LBY2240.891.71E−02414
LBY2240.777.51E−02426LBY2240.711.44E−02111
LBY2240.817.47E−03114LBY2250.731.08E−02219
LBY2250.717.36E−02326LBY2250.721.23E−02510
LBY2250.742.21E−0277LBY2250.815.33E−0245
LBY2250.731.02E−02123LBY2250.903.91E−0463
LBY2250.721.95E−0267LBY2250.748.76E−0368
LBY2270.766.16E−03224LBY2270.802.87E−03212
LBY2270.834.14E−02315LBY2270.833.06E−03712
LBY2270.882.14E−02424LBY2270.758.92E−02412
LBY2270.761.00E−02115LBY2280.841.33E−03813
LBY2280.766.12E−0364LBY2300.911.22E−0237
LBY2300.841.81E−0238LBY2300.914.56E−0336
LBY2300.701.57E−02513LBY2300.751.19E−02727
LBY2300.767.81E−02414LBY2310.791.93E−0225
LBY2310.842.43E−0323LBY2310.871.05E−02313
LBY2310.906.48E−0338LBY2310.832.14E−0236
LBY2310.757.68E−0358LBY2310.701.55E−0256
LBY2310.766.93E−0388LBY2310.701.62E−02821
LBY2310.766.13E−0386LBY2310.786.85E−02411
LBY2310.777.28E−02429LGN10.767.09E−0328
LGN10.745.49E−02329LGN10.755.32E−02312
LGN10.841.26E−0358LGN10.778.93E−0378
LGN10.862.74E−0245LGN10.938.06E−0343
LGN10.786.88E−02426LGN10.766.71E−03613
Table 232. Provided are the correlations (R) between the genes expression levels in various tissues and the phenotypic performance. “Corr. ID“—correlation set ID according to the correlated parameters specified in Table 223. “Exp. Set”—Expression set specified in Table 221. “R” = Pearson correlation coefficient; “P” = p value.

To validate their role in improving yield, selected genes were over-expressed in plants, as follows.

Cloning Strategy

Selected genes from those presented in Examples 1-24 hereinabove were cloned into binary vectors for the generation of transgenic plants. For cloning, the full-length open reading frames (ORFs) were identified. EST clusters and in some cases mRNA sequences were analyzed to identify the entire open reading frame by comparing the results of several translation algorithms to known proteins from other plant species.

In order to clone the full-length cDNAs, reverse transcription (RT) followed by polymerase chain reaction (PCR; RT-PCR) was performed on total RNA extracted from leaves, roots or other plant tissues, growing under normal/limiting or stress conditions. Total RNA extraction, production of cDNA and PCR amplification was performed using standard protocols described elsewhere (Sambrook J., E. F. Fritsch, and T. Maniatis. 1989. Molecular Cloning. A Laboratory Manual, 2nd Ed. Cold Spring Harbor Laboratory Press, New York) which are well known to those skilled in the art. PCR products were purified using PCR purification kit (Qiagen).

Usually, 2 sets of primers were prepared for the amplification of each gene, via nested PCR (if required). Both sets of primers were used for amplification on a cDNA. In case no product was obtained, a nested PCR reaction was performed. Nested PCR was performed by amplification of the gene using external primers and then using the produced PCR product as a template for a second PCR reaction, where the internal set of primers were used. Alternatively, one or two of the internal primers were used for gene amplification, both in the first and the second PCR reactions (meaning only 2-3 primers are designed for a gene). To facilitate further cloning of the cDNAs, an 8-12 base pairs (bp) extension was added to the 5′ of each internal primer. The primer extension includes an endonuclease restriction site. The restriction sites were selected using two parameters: (a) the restriction site does not exist in the cDNA sequence; and (b) the restriction sites in the forward and reverse primers were designed such that the digested cDNA was inserted in the sense direction into the binary vector utilized for transformation.

PCR products were digested with the restriction endonucleases (New England BioLabs Inc) according to the sites designed in the primers. Each digested/undigested PCR product was inserted into a high copy vector pUC19 (New England BioLabs Inc], or into plasmids originating from this vector. In some cases the undigested PCR product was inserted into pCR-Blunt II-TOPO (Invitrogen) or into pJET1.2 (CloneJET PCR Cloning Kit, Thermo Scientific) or directly into the binary vector. The digested/undigested products and the linearized plasmid vector were ligated using T4 DNA ligase enzyme (Roche, Switzerland or other manufacturers). In cases where pCR-Blunt II-TOPO is used no T4 ligase is needed.

Sequencing of the inserted genes was performed, using the ABI 377 sequencer (Applied Biosystems). In some cases, after confirming the sequences of the cloned genes, the cloned cDNA was introduced into a modified pGI binary vector containing the At6669 promoter (e.g., pQFNc or pQsFN) and the NOS terminator (SEQ ID NO: 10665) via digestion with appropriate restriction endonucleases.

Several DNA sequences of the selected genes were synthesized by GeneArt (Life Technologies, Grand Island, N.Y., USA). Synthetic DNA was designed in silico. Suitable restriction enzymes sites were added to the cloned sequences at the 5′ end and at the 3′ end to enable later cloning into the desired binary vector.

Binary vectors—The pPI plasmid vector was constructed by inserting a synthetic poly-(A) signal sequence, originating from pGL3 basic plasmid vector (Promega, GenBank Accession No. U47295; nucleotides 4658-4811) into the HindIII restriction site of the binary vector pBI101.3 (Clontech, GenBank Accession No. U12640). pGI is similar to pPI, but the original gene in the backbone is GUS-Intron and not GUS.

The modified pGI vector (e.g., pQFN, pQFNc, pQYN_6669, pQNa_RP, pQFYN, pQXNc, pQ6sVN (FIG. 11) or pQsFN (FIG. 12)) is a modified version of the pGI vector in which the cassette is inverted between the left and right borders so the gene and its corresponding promoter are close to the right border and the NPTII gene is close to the left border.

At6669, the new Arabidopsis thaliana promoter sequence (SEQ ID NO: 10654) was inserted in the modified pGI binary vector, upstream to the cloned genes, followed by DNA ligation and binary plasmid extraction from positive E. coli colonies, as described above. Colonies were analyzed by PCR using the primers covering the insert which were designed to span the introduced promoter and gene. Positive plasmids were identified, isolated and sequenced.

In case of Brachypodium transformation, after confirming the sequences of the cloned genes, the cloned cDNAs were introduced into pQ6sVN (FIG. 11) containing 35S promoter (SEQ ID NO: 10666) and the NOS terminator (SEQ ID NO: 10665) via digestion with appropriate restriction endonucleases. The genes were cloned downstream to the 35S promoter and upstream to the NOS terminator. In the pQ6sVN vector the Hygromycin resistance gene cassette and the Bar_GA resistance gene cassette replaced the NPTII resistance gene cassette. pQ6sVN contains the 35S promoter (SEQ ID NO: 10666). Bar_GA resistance gene (SEQ ID NO: 11335) is an optimized sequence of the BAR gene for expression in Brachypodium plants (ordered from GeneArt).

Additionally or alternatively, Brachypodium transformation was performed using the pEBbVNi vector. pEBbVNi (FIG. 9A) is a modified version of pJJ2LB in which the Hygromycin resistance gene was replaced with the BAR gene which confers resistance to the BASTA herbicide [BAR gene coding sequence is provided in GenBank Accession No. JQ293091.1 (SEQ ID NO: 10667); further description is provided in Akama K, et al. “Efficient Agrobacterium-mediated transformation of Arabidopsis thaliana using the bar gene as selectable marker”, Plant Cell Rep. 1995, 14(7):450-4; Christiansen P, et al. “A rapid and efficient transformation protocol for the grass Brachypodium distachyon”, Plant Cell Rep. 2005 March; 23(10-11):751-8. Epub 2004 Oct. 19; and Păcurar D I, et al. “A high-throughput Agrobacterium-mediated transformation system for the grass model species Brachypodium distachyon L”, Transgenic Res. 2008 17(5):965-75; each of which is fully incorporated herein by reference in its entirety]. The pEBbVNi construct contains the 35S promoter (SEQ ID NO: 10666). pJJ2LB is a modified version of pCambia0305.2 (Cambia).

In case genomic DNA was cloned, the genes were amplified by direct PCR on genomic DNA extracted from leaf tissue using the DNAeasy kit (Qiagen Cat. No. 69104).

Selected genes cloned by the present inventors are provided in Table 233 below.

TABLE 233
Cloned genes
GenePrimers used Polynucleotide Polypeptide
NameHigh copy plasmidOrganismSEQ ID NOs:SEQ ID NO:SEQ ID NO:
LBY100pMA-T_LBY100_GA388634
LBY102pMA-T_LBY102_GA389635
LBY103pQFNc_LBY103MAIZE Zea mays L.11069, 10874, 390636
11006, 10847
LBY104pUC19g_LBY104MAIZE Zea mays L.11093, 11191, 391637
11105, 11166
LBY105pQFNc_LBY105MAIZE Zea mays L.11005, 10887, 392638
11119, 10808
LBY106-pQFNc_LBY106_H3MAIZE Zea mays L.11003, 11160, 505884
H311028, 11160
LBY107pQFNc_LBY107MAIZE Zea mays L.11158, 10766, 393640
11158, 10814
LBY108pQFNc_LBY108MAIZE Zea mays L.10774, 10707, 394838
10756, 10699
LBY109pUC19c_LBY109MAIZE Zea mays L.11088, 10910, 395642
11019, 10859
LBY110pQFNc_LBY110MAIZE Zea mays L.11120, 10788, 396643
11038, 10883
LBY111pMA-RQ_LBY111_GA397644
LBY112pQFNc_LBY112MAIZE Zea mays L.10949, 10935, 398645
10948, 10928
LBY113TopoB_LBY113MAIZE Zea mays L.11091, 11162, 399646
11130, 11182
LBY114pQFNc_LBY114MAIZE Zea mays L.10886, 10692, 400647
10899, 10693
LBY115TopoB_LBY115MAIZE Zea mays L.11154, 10763, 401648
11154, 10763
LBY116pUC19c_LBY116MAIZE Zea mays L.10991, 10809, 402839
11012, 10792
LBY117pUC19g_LBY117MAIZE Zea mays L.10947, 10786, 403650
10946, 10902
LBY118pQFNc_LBY118MAIZE Zea mays L.11017, 10755, 404651
11104, 10888
LBY119-pQFNc_LBY119_H110671, 11197, 506885
H110671, 11197
LBY120pQFNc_LBY120MAIZE Zea mays L.11144, 10794, 405840
10974, 10912
LBY121pQFNc_LBY121MAIZE Zea mays L.10959, 11185, 406841
10959, 11185
LBY122pQFNc_LBY122MAIZE Zea mays L.11108, 10782, 407842
11110, 11216
LBY123pQFNc_LBY123MAIZE Zea mays L.11106, 10870, 408656
11034, 10800
LBY125pMA_LBY125_GA409657
LBY126pQFNc_LBY126MEDICAGO Medicago truncatula410658
LBY127pQFNc_LBY127MEDICAGO Medicago truncatula11095, 11200, 411843
11139, 11193
LBY128pMA-T_LBY128_GA412660
LBY129pMA-RQ_LBY129_GA413661
LBY132pMA-RQ_LBY132_GA414663
LBY133pMA-T_LBY133_GA415664
LBY134pMA-T_LBY134_GA416665
LBY135pQFNc_LBY135POTATO Solanum tuberosum11082, 10789, 417666
11116, 10798
LBY136pUC19c_LBY136POTATO Solanum tuberosum10812, 10932, 418844
10749, 10937
LBY137pQFNc_LBY137POTATO Solanum tuberosum10856, 10712, 419845
10856, 10712
LBY138pUC19c_LBY138RICE Oryza sativa L.11092, 10922, 420669
11092, 10833
LBY139TopoB_LBY139RICE Oryza sativa L.10728, 11204, 421846
10728, 11165
LBY14pQsFN_LBY14SORGHUM Sorghum bicolor10744, 11210, 551
10744, 11210
LBY140pQFNc_LBY140RICE Oryza sativa L.10956, 10821, 422671
10958, 10841
LBY141pMA-RQ_LBY141_GA423672
LBY142pMA-RQ_LBY142_GA424673
LBY143pQFNc_LBY143RICE Oryza sativa L.10943, 10781, 425674
10942, 10840
LBY144pQFNc_LBY144RICE Oryza sativa L.11129, 10915, 426847
11129, 10915
LBY145pQFNc_LBY145RICE Oryza sativa L.11018, 10863, 427676
11018, 10863
LBY146pUC19c_LBY146RICE Oryza sativa L.10729, 10931, 428848
10729, 10931
LBY148pMA-RQ_LBY148_GA429679
LBY149pUC19c_LBY149SORGHUM Sorghum bicolor11146, 10923, 430680
11146, 10923
LBY15pMA-RQ_LBY15_GA261
LBY150pQFNc_LBY150SORGHUM Sorghum bicolor11014, 10801, 431681
11109, 10884
LBY151pUC19_LBY151SORGHUM Sorghum bicolor11015, 10907, 432682
11015, 10907
LBY152pMA-RQ_LBY152_GA433683
LBY153TopoB_LBY153SORGHUM Sorghum bicolor10963, 11171, 434684
10963, 11171
LBY154pQFNc_LBY154SORGHUM Sorghum bicolor11145, 10865, 435685
10998, 10764
LBY155pQFNc_LBY155SORGHUM Sorghum bicolor11048, 11168, 436849
11048, 11168
LBY156pUC19c_LBY156SORGHUM Sorghum bicolor10784, 10722, 437850
10860, 10682
LBY157pMA-RQ_LBY157_GA438688
LBY158pQFNc_LBY158SORGHUM Sorghum bicolor10968, 10836, 439851
11041, 10817
LBY159pQFNc_LBY159SORGHUM Sorghum bicolor11086, 10845, 440690
11103, 10843
LBY16pUC19c_LBY16ARABIDOPSIS Arabidopsis thalia11076, 10739, 311552
11076, 10894
LBY160TopoB_LBY160SORGHUM Sorghum bicolor11022, 10740, 441691
11151, 10754
LBY161pMA_LBY161_GA442692
LBY162pUC19g_LBY162SORGHUM Sorghum bicolor10966, 11159, 443693
11090, 11181
LBY163pQFNc_LBY163SORGHUM Sorghum bicolor11011, 11180, 444694
10973, 11177
LBY164pQFNc_LBY164SORGHUM Sorghum bicolor11078, 10815, 445852
11078, 10815
LBY165pQFNc_LBY165SORGHUM Sorghum bicolor11140, 10677, 446853
11155, 10672
LBY166pQFNc_LBY166SORGHUM Sorghum bicolor11125, 10878, 447697
11135, 10881
LBY167pQFNc_LBY167SORGHUM Sorghum bicolor10675, 10708, 448698
10873, 10695
LBY17pQFNc_LBY17ARABIDOPSIS Arabidopsis thalia10993, 10775, 312553
10982, 10743
LBY170pMK-RQ_LBY170_GA449700
LBY171pMK-RQ_LBY171_GA450701
LBY173pQFNc_LBY173SORGHUM Sorghum bicolor10737, 10711, 451702
10891, 10716
LBY174pUC19g_LBY174SORGHUM Sorghum bicolor10960, 11188, 452703
10952, 11196
LBY175pQFNc_LBY175SORGHUM Sorghum bicolor10994, 10791, 453704
11150, 10918
LBY176pMA-RQ_LBY176_GA454705
LBY177pUC19g_LBY177SORGHUM Sorghum bicolor10941, 10877, 455706
10953, 10924
LBY178pMK-RQ_LBY178_GA456707
LBY179pQFNc_LBY179SORGHUM Sorghum bicolor11133, 10741, 457708
11133, 10895
LBY18pMA-RQ_LBY18_GA313554
LBY180TopoB_LBY180SORGHUM Sorghum bicolor10853, 10685, 458854
10919, 10718
LBY181TopoB_LBY181SORGHUM Sorghum bicolor10730, 11199, 459855
10730, 11199
LBY182pQFNc_LBY182SORGHUM Sorghum bicolor11064, 10686, 460856
11064, 10691
LBY183pMA-RQ_LBY183_GA461712
LBY184pQFNc_LBY184SORGHUM Sorghum bicolor10978, 10871, 462713
10976, 10835
LBY185pQFNc_LBY185SORGHUM Sorghum bicolor11035, 10898, 463857
11100, 10868
LBY186pQFNc_LBY186SORGHUM Sorghum bicolor11127, 10851, 464715
10986, 10772
LBY187pUC19_LBY187SORGHUM Sorghum bicolor10736, 10734, 465858
10736, 10735
LBY188pQFNc_LBY188SORGHUM Sorghum bicolor11148, 10760, 466717
10996, 10795
LBY190pQFNc_LBY190SORGHUM Sorghum bicolor11023, 10778, 467719
11117, 10866
LBY191pMA-RQ_LBY191_GA468720
LBY192pQsFN_LBY192SORGHUM Sorghum bicolor10731, 11183, 469859
10727, 11205
LBY193pQFNc_LBY193SOYBEAN Glycine max11004, 10769, 470860
11025, 10785
LBY194pMA-RQ_LBY194_GA471723
LBY195pQFNc_LBY195SOYBEAN Glycine max10925, 10717, 472861
10925, 10717
LBY196pMA_LBY196_GA473725
LBY197pUC19c_LBY197SUNFLOWER Helianthus annuus10689, 10938, 474726
10689, 10934
LBY199pUC19g_LBY199SUNFLOWER Helianthus annuus11067, 11172, 475862
11067, 11174
LBY20TopoB_LBY20BARLEY Hordeum vulgare L.11149, 11163, 314817
11063, 11173
LBY200pQFNc_LBY200SUNFLOWER Helianthus annuus11045, 10779, 476863
11056, 10857
LBY201TopoB_LBY201SUNFLOWER Helianthus annuus10981, 10669, 477864
11049, 10670
LBY202pQFNc_LBY202SUNFLOWER Helianthus annuus11032, 10767, 478865
11032, 10767
LBY203pQFNc_LBY203SUNFLOWER Helianthus annuus10725, 11178, 479866
10725, 11178
LBY204pUC19c_LBY204SUNFLOWER Helianthus annuus10706, 10930, 480732
10688, 10936
LBY205pQFNc_LBY205SUNFLOWER Helianthus annuus11083, 10897, 481867
11097, 10838
LBY206pQFNc_LBY206SUNFLOWER Helianthus annuus11062, 11195, 482868
11047, 11176
LBY207pQFNc_LBY207SUNFLOWER Helianthus annuus10987, 10816, 483869
11059, 10820
LBY208pQFNc_LBY208SUNFLOWER Helianthus annuus11157, 10804, 484736
11157, 10804
LBY209pUC19g_LBY209SUNFLOWER Helianthus annuus10969, 10964, 485870
11153, 10962
LBY21pQFNc_LBY21BARLEY Hordeum vulgare L.11114, 10780, 315557
11053, 10810
LBY210pQFNc_LBY210SUNFLOWER Helianthus annuus11123, 11192, 486871
11050, 11192
LBY211pQFNc_LBY211SUNFLOWER Helianthus annuus10698, 11209, 487872
10700, 11208
LBY212pQFNc_LBY212TOMATO Lycopersicum ND11111, 10751, 488873
11099, 10849
LBY213pQFNc_LBY213TOMATO Lycopersicum ND11033, 10752, 489874
10967, 10837
LBY214pQFNc_LBY214WHEAT Triticum aestivum L.490742
LBY216pQFNc_LBY216WHEAT Triticum aestivum L.10957, 10783, 491875
10951, 10892
LBY217pQFNc_LBY217WHEAT Triticum aestivum L.11152, 11170, 492876
11079, 11167
LBY218pQFNc_LBY218WHEAT Triticum aestivum L.10869, 10694, 493877
10862, 10696
LBY219_pMA-507761
H9RQ_LBY219_H9_GA
LBY22pQFNc_LBY22BARLEY Hordeum vulgare L.10989, 10745, 316558
10984, 10876
LBY220pMA-RQ_LBY220_GA494748
LBY221pMA-RQ_LBY221_GA495749
LBY222TopoB_LBY222WHEAT Triticum aestivum L.10970, 11161, 496878
10970, 11187
LBY224TopoB_LBY224WHEAT Triticum aestivum L.10733, 10732, 497751
10726, 11206
LBY225pUC19c_LBY225WHEAT Triticum aestivum L.10747, 10724, 498879
10747, 10724
LBY227pQFNc_LBY227WHEAT Triticum aestivum L.11112, 10855, 499753
10990, 10822
LBY228pUC19c_LBY228WHEAT Triticum aestivum L.11115, 10858, 500880
11046, 10819
LBY23pQFNc_LBY23BARLEY Hordeum vulgare L.10961, 10823, 317559
10944, 10824
LBY230pQFNc_LBY230WHEAT Triticum aestivum L.11075, 10742, 501881
11042, 10844
LBY231TopoB_LBY231WHEAT Triticum aestivum L.11072, 10906, 502882
11072, 10906
LBY232pQsFN_LBY232WHEAT Triticum aestivum L.11128, 11215, 503883
11128, 11215
LBY233pQFNc_LBY233MAIZE Zea mays L.11118, 10827, 504758
11089, 10830
LBY24pQFNc_LBY24BARLEY Hordeum vulgare L.11147, 11194, 318818
11057, 11189
LBY25pQFNc_LBY25BARLEY Hordeum vulgare L.11094, 10738, 319561
11021, 10770
LBY26pMK-RQ_LBY26_GA320562
LBY27_H4pMA-508762
RQ_LBY27_H4_GA
LBY28pQFNc_LBY28BARLEY Hordeum vulgare L.11002, 10818, 321819
11002, 10828
LBY29pUC19c_LBY29BARLEY Hordeum vulgare L.10850, 10679, 322565
10905, 10714
LBY3pQFNc_LBY3FOXTAIL Setaria italica11058, 10758, 547
11080, 10909
LBY30pUC19_LBY30BARLEY Hordeum vulgare L.11000, 10880, 323566
11126, 10776
LBY31pQFNc_LBY31BARLEY Hordeum vulgare L.11087, 10842, 324820
11087, 10829
LBY32pMA-RQ_LBY32_GA325568
LBY33pQFNc_LBY33BEAN Phaseolus vulgaris10889, 10719, 326821
10864, 10690
LBY34_H2pMA-509763
RQ_LBY34_H2_GA
LBY35TopoB_LBY35BEAN Phaseolus vulgaris11141, 10903, 327822
10972, 10806
LBY36pUC19c_LBY36BEAN Phaseolus vulgaris11142, 10867, 328823
11156, 10926
LBY37pQFNc_LBY37BRACHYPODIUM 10997, 11184, 329573
Brachypodiums dis11024, 11201
LBY4pQsFN_LBY4COTTON Gossypium ND11068, 10796, 548
11068, 10796
LBY40pMA-RQ_LBY40_GA331575
LBY41pMA-RQ_LBY41_GA332576
LBY43pQFNc_LBY43CHLAMYDOMONAS11055, 10761, 333578
Chlamydomonas re11137, 10834
LBY44pMK-RQ_LBY44_GA334579
LBY45pQFNc_LBY45COTTON Gossypium ND11065, 10846, 335580
11065, 10846
LBY46pQFNc_LBY46COTTON Gossypium ND336824
LBY47TopoB_LBY47COTTON Gossypium ND10713, 10927, 337825
10709, 10929
LBY48pQFNc_LBY48COTTON Gossypium ND11026, 10904, 338826
11027, 10920
LBY49pQFNc_LBY49COTTON Gossypium ND10759, 11207, 339827
10872, 11207
LBY5pQFNc_LBY5MAIZE Zea mays L.11077, 11211, 549
11124, 11211
LBY50pUC19c_LBY50COTTON Gossypium ND11030, 10893, 340828
11043, 10748
LBY51pQFNc_LBY51COTTON Gossypium ND11039, 10900, 341586
11143, 10762
LBY52pQFNc_LBY52COTTON Gossypium ND11066, 11037, 342829
11066, 11037
LBY53pQFNc_LBY53COTTON Gossypium ND10896, 10702, 343830
10896, 10702
LBY54pUC19c_LBY54COTTON Gossypium ND11009, 10875, 344589
11085, 10875
LBY55TopoB_LBY55FOXTAIL Setaria italica11102, 11213, 345590
11102, 11213
LBY56pQFNc_LBY56FOXTAIL Setaria italica10807, 10720, 346591
10807, 10720
LBY57pQFNc_LBY57FOXTAIL Setaria italica11098, 10753, 347592
11052, 10921
LBY58pQFNc_LBY58FOXTAIL Setaria italica11113, 10746, 348593
10983, 10839
LBY59pMA_LBY59_GA349594
LBY6pQFNc_LBY6MAIZE Zea mays L.10799, 10680, 550
10799, 10680
LBY61pMA-RQ_LBY61_GA350595
LBY62pQFNc_LBY62FOXTAIL Setaria italica10995, 10854, 351596
11096, 10831
LBY63pUC19c_LBY63FOXTAIL Setaria italica11040, 10802, 352597
11040, 10885
LBY64pQFNc_LBY64FOXTAIL Setaria italica353598
LBY65TopoB_LBY65FOXTAIL Setaria italica10965, 10703, 354599
10965, 10721
LBY66pUC19c_LBY66FOXTAIL Setaria italica10975, 10710, 355600
10975, 10710
LBY68pMA-RQ_LBY68_GA356602
LBY69pQFNc_LBY69FOXTAIL Setaria italica11081, 11198, 357831
11131, 11179
LBY70pQFNc_LBY70FOXTAIL Setaria italica11132, 10674,358604
10999, 10676
LBY71pUC19_LBY71FOXTAIL Setaria italica11107, 11212,359605
11054, 11214
LBY72pQFNc_LBY72FOXTAIL Setaria italica11044, 10765,360832
11044, 10765
LBY73pQFNc_LBY73FOXTAIL Setaria italica10861, 10723,361607
10879, 10697
LBY74pQFNc_LBY74FOXTAIL Setaria italica11029, 11202,362833
11031, 11169
LBY75TopoB_LBY75FOXTAIL Setaria italica11074, 11186,363609
10988, 11203
LBY76TopoB_LBY76FOXTAIL Setaria italica11007, 10917,364610
11101, 10901
LBY77pQFNc_LBY77FOXTAIL Setaria italica11061, 10787,365611
11136, 10757
LBY78TopoB_LBY78FOXTAIL Setaria italica10992, 10797,366612
11020, 10826
LBY79pQFNc_LBY79FOXTAIL Setaria italica10971, 10908,367613
10971, 10908
LBY80pQFNc_LBY80FOXTAIL Setaria italica11084, 10890,368614
11051, 10793
LBY81pQFNc_LBY81FOXTAIL Setaria italica10805, 10933, 369615
10805, 10939
LBY82pQFNc_LBY82FOXTAIL Setaria italica11010, 10955,370616
10985, 10954
LBY83MA-RQ_LBY83_GAFOXTAIL Setaria italica371617
LBY84pQFNc_LBY8411008, 10882,372618
FOXTAIL Setaria italica11013, 10825
LBY85pQFNc_LBY8511071, 10914, 373619
FOXTAIL Setaria italica11071, 10914
LBY86pMA-RQ_LBY86_GA374620
LBY87TopoB_LBY87FOXTAIL Setaria italica11070, 10803, 375621
11134, 10852
LBY88pQFNc_LBY88FOXTAIL Setaria italica10768, 10704, 376622
10811, 10681
LBY89pUC19_LBY89FOXTAIL Setaria italica10980, 10773, 377623
10980, 10773
LBY90pQFNc_LBY90FOXTAIL Setaria italica11016, 10848, 378624
11073, 10832
LBY91TopoB_LBY91FOXTAIL Setaria italica10945, 10750, 379625
10945, 10750
LBY92pQFNc_LBY92FOXTAIL Setaria italica10668, 10683, 380626
10678, 10701
LBY93pQFNc_LBY93COTTON Gossypium ND11001, 11164, 381834
10979, 11175
LBY94TopoB_LBY94COTTON Gossypium ND10977, 10940, 382835
11036, 10950
LBY95pQFNc_LBY95COTTON Gossypium ND11138, 10673, 383836
11138, 10673
LBY96pUC19_LBY96COTTON Gossypium ND11060, 10790, 384630
11060, 10913
LBY97pQFNc_LBY97COTTON Gossypium ND10916, 10705, 385837
10911, 10687
LBY98pMA-T_LBY98_GA386632
LBY99pMA-RQ_LBY99_GA387633
LGN1pQFNc_LGN1WHEAT Triticum aestivum L.11291, 11313, 510764
11292, 11309
LGN13pUCsFN_LGN13RICE Oryza sativa L.11270, 11333, 518772
11270, 11333
LGN14pUC19c_LGN14RICE Oryza sativa L.11254, 11218, 519773
11256, 11219
LGN17pUCsFN_LGN17MAIZE Zea mays L.11279, 11315, 520886
11282, 11331
LGN18pUCsFN_LGN18MAIZE Zea mays L.11321, 11252, 521887
11322, 11253
LGN2pUCsFN_LGN2SOYBEAN Glycine max11303, 11245, 511765
11304, 11236
LGN20pUCsFN_LGN20MAIZE Zea mays L.11295, 11314, 522888
11295, 11311
LGN23pUCsFN_LGN23MAIZE Zea mays L.11275, 11246, 523777
11275, 11246
LGN24pUCsFN_LGN24MAIZE Zea mays L.11294, 11324, 524889
11294, 11324
LGN26pUCsFN_LGN26MAIZE Zea mays L.11306, 11310, 525779
11271, 11307
LGN3pUCsFN_LGN3SORGHUM Sorghum bicolor11278, 11230, 512766
11278, 11227
LGN33pUCsFN_LGN33MAIZE Zea mays L.11247, 11327, 526780
11247, 11327
LGN34TopoB_LGN34MAIZE Zea mays L.11284, 11228, 527890
11299, 11221
LGN35pUC19c_LGN35MAIZE Zea mays L.11318, 11249, 528782
11318, 11249
LGN36pUCsFN_LGN36MAIZE Zea mays L.11281, 11261, 529783
11281, 11261
LGN39pQFNc_LGN39MAIZE Zea mays L.11264, 11250, 530891
11264, 11250
LGN4pUC19c_LGN4SORGHUM Sorghum bicolor11268, 11222, 513767
11273, 11232
LGN40pUCsFN_LGN40COTTON Gossypium hirsutum11267, 11239, 531785
11305, 11243
LGN41pUCsFN_LGN41BRACHYPODIUM 11269, 11244, 532786
Brachypodiums dis11283, 11329
LGN42pQsFN_LGN42BARLEY Hordeum vulgare L.11280, 11229, 533787
11301, 11226
LGN43pUCsFN_LGN43BARLEY Hordeum vulgare L.11274, 11237, 534788
11277, 11231
LGN44pUCsFN_LGN44BARLEY Hordeum vulgare L.11276, 11326, 535789
11286, 11334
LGN45pUCsFN_LGN45BARLEY Hordeum vulgare L.11265, 11332, 536892
11265, 11332
LGN46TopoB_LGN46BARLEY Hordeum vulgare L.11298, 11312, 537791
11287, 11308
LGN47TopoB_LGN47BARLEY Hordeum vulgare L.11242, 11330, 538893
11242, 11330
LGN48pUC19c_LGN48BARLEY Hordeum vulgare L.11289, 11225, 539793
11296, 11328
LGN49pQFNc_LGN49MAIZE Zea mays L.11240, 11257, 540894
11235, 11248
LGN5pQFNc_LGN5SORGHUM Sorghum bicolor11317, 11259, 514768
11317, 11259
LGN52pQsFN_LGN52FOXTAIL Setaria italica11293, 11234, 541795
11293, 11234
LGN54pQFNc_LGN54SORGHUM Sorghum bicolor11288, 11238, 542796
11288, 11238
LGN57pQFNc_LGN57SORGHUM Sorghum bicolor11266, 11258, 543895
11272, 11260
LGN6pUCsFN_LGN6SORGHUM Sorghum bicolor11262, 11220, 515769
11263, 11217
LGN60pUC19c_LGN60FOXTAIL Setaria italica11323, 11325, 544798
11323, 11325
LGN61pUCsFN_LGN61MAIZE Zea mays L.11290, 11223, 545896
11297, 11224
LGN62_H2TopoB_LGN62_H2Foxtail millet11320, 11285, 546897
11320, 11285
LGN7pUC19c_LGN7SORGHUM Sorghum bicolor11316, 11255, 516770
11319, 11251
LGN9pUCsFN_LGN9RICE Oryza sativa L.11300, 11241, 517771
11302, 11233
LBY39330574
Table 233: Provided are the gene names, cluster names, organisms from which they were derived, and polynucleotide and polypeptide sequence identifiers of selected genes of some embodiments of the invention. “GA”—Gene Art (synthetically prepared gene sequence).

Each of the binary vectors described in Example 25 above were used to transform Agrobacterium cells. Two additional binary constructs, having only the At6669 or the 35S promoter, or no additional promoter were used as negative controls.

The binary vectors were introduced to Agrobacterium tumefaciens GV301 or LB4404 (for Arabidopsis) or AGL1 (for Brachypodium) competent cells (about 109 cells/mL) by electroporation. The electroporation was performed using a MicroPulser electroporator (Biorad), 0.2 cm cuvettes (Biorad) and EC-2 electroporation program (Biorad). The treated cells were cultured in LB liquid medium at 28° C. for 3 hours, then plated over LB agar supplemented with gentamycin (for Arabidopsis; 50 mg/L; for Agrobacterium strains GV301) or streptomycin (for Arabidopsis; 300 mg/L; for Agrobacterium strain LB4404); or with Carbenicillin (for Brachypodium; 50 mg/L) and kanamycin (for Arabidopsis and Brachypodium; 50 mg/L) at 28° C. for 48 hours. Agrobacterium colonies, which were developed on the selective media, were further analyzed by PCR using the primers designed to span the inserted sequence in the pPI plasmid. The resulting PCR products were isolated and sequenced to verify that the correct polynucleotide sequences of the invention are properly introduced to the Agrobacterium cells.

Materials and Experimental Methods

Plant transformation—The Arabidopsis thaliana var Columbia (T0 plants) were transformed according to the Floral Dip procedure [Clough S J, Bent A F. (1998) Floral dip: a simplified method for Agrobacterium-mediated transformation of Arabidopsis thaliana. Plant J. 16(6): 735-43; and Desfeux C, Clough S J, Bent A F. (2000) Female reproductive tissues were the primary targets of Agrobacterium-mediated transformation by the Arabidopsis floral-dip method. Plant Physiol. 123(3): 895-904] with minor modifications. Briefly, Arabidopsis thaliana Columbia (Co10) T0 plants were sown in 250 ml pots filled with wet peat-based growth mix. The pots were covered with aluminum foil and a plastic dome, kept at 4° C. for 3-4 days, then uncovered and incubated in a growth chamber at 18-24° C. under 16/8 hours light/dark cycles. The T0 plants were ready for transformation six days before anthesis.

Single colonies of Agrobacterium carrying the binary vectors harboring the yield genes were cultured in LB medium supplemented with kanamycin (50 mg/L) and gentamycin (50 mg/L). The cultures were incubated at 28° C. for 48 hours under vigorous shaking and centrifuged at 4000 rpm for 5 minutes. The pellets comprising Agrobacterium cells were resuspended in a transformation medium which contained half-strength (2.15 g/L) Murashige-Skoog (duch*efa); 0.044 μM benzylamino purine (Sigma); 112 μg/L B5 Gambourg vitamins (Sigma); 5% sucrose; and 0.2 ml/L Silwet L-77 (OSI Specialists, CT) in double-distilled water, at pH of 5.7.

Transformation of T0 plants was performed by inverting each plant into an Agrobacterium suspension such that the above ground plant tissue was submerged for 3-5 seconds. Each inoculated T0 plant was immediately placed in a plastic tray, then covered with clear plastic dome to maintain humidity and was kept in the dark at room temperature for 18 hours to facilitate infection and transformation. Transformed (transgenic) plants were then uncovered and transferred to a greenhouse for recovery and maturation. The transgenic T0 plants were grown in the greenhouse for 3-5 weeks until siliques were brown and dry, then seeds were harvested from plants and kept at room temperature until sowing.

For generating T1 and T2 transgenic plants harboring the genes, seeds collected from transgenic T0 plants were surface-sterilized by soaking in 70% ethanol for 1 minute, followed by soaking in 5% sodium hypochlorite and 0.05% triton for 5 minutes. The surface-sterilized seeds were thoroughly washed in sterile distilled water then placed on culture plates containing half-strength Murashig-Skoog (duch*efa); 2% sucrose; 0.8% plant agar; 50 mM kanamycin; and 200 mM carbenicylin (duch*efa). The culture plates were incubated at 4° C. for 48 hours then transferred to a growth room at 25° C. for an additional week of incubation. Vital T1 Arabidopsis plants were transferred to a fresh culture plates for another week of incubation. Following incubation the T1 plants were removed from culture plates and planted in growth mix contained in 250 ml pots. The transgenic plants were allowed to grow in a greenhouse to maturity. Seeds harvested from T1 plants were cultured and grown to maturity as T2 plants under the same conditions as used for culturing and growing the T1 plants.

Similar to the Arabidopsis model plant, Brachypodium distachyon has several features that recommend it as a model plant for functional genomic studies, especially in the grasses. Traits that make it an ideal model include its small genome (˜160 Mbp for a diploid genome and 355 Mbp for a polyploidy genome), small physical stature, a short lifecycle, and few growth requirements. Brachypodium is related to the major cereal grain species but is understood to be more closely related to the Triticeae (wheat, barley) than to the other cereals. Brachypodium, with its polyploidy accessions, can serve as an ideal model for these grains (whose genomics size and complexity is a major barrier to biotechnological improvement).

Brachypodium distachyon embryogenic calli were transformed using the procedure described by Vogel and Hill (2008) [High-efficiency Agrobacterium-mediated transformation of Brachypodium distachyon inbred line Bd21-3. Plant Cell

Rep 27:471-478], Vain et al (2008) [Agrobacterium-mediated transformation of the temperate grass Brachypodium distachyon (genotypeBd21) for T-DNA insertional mutagenesis. Plant Biotechnology J 6: 236-245], and Vogel J, et al. (2006) [Agrobacterium mediated transformation and inbred line development in the model grass Brachypodium distachyon. Plant Cell Tiss Org. Cult. 85:199-211], each of which is fully incorporated herein by reference, with some minor modifications, which are briefly summarized hereinbelow.

Callus initiation—Immature spikes (about 2 months after seeding) were harvested at the very beginning of seeds filling. Spikes were then husked and surface sterilized with 3% NaClO containing 0.1% Tween 20, shaken on a gyratory shaker at low speed for 20 minutes. Following three rinses with sterile distilled water, embryos were excised under a dissecting microscope in a laminar flow hood using fine forceps.

Excised embryos (size ˜0.3 mm, bell shaped) were placed on callus induction medium (CIM) [LS salts (Linsmaier, E. M. & Skoog, F. 1965. Physiol. Plantarum 18, 100) and vitamins plus 3% sucrose, 6 mg/L CuSO4, 2.5 mg/l 2,4-Dichlorophenoxyacetic Acid, pH 5.8 and 0.25% phytagel (Sigma)] scutellar side down, 100 embryos on a plate, and incubated at 28° C. in the dark. One week later, the embryonic calli is cleaned from emerging roots, shoots and somatic calli, and was subcultured onto fresh CIM medium. During culture, yellowish embryogenic callus (EC) appeared and were further selected (e.g., picked and transferred) for further incubation in the same conditions for additional 2 weeks. Twenty-five pieces of sub-cultured calli were then separately placed on 90×15 mm petri plates, and incubated as before for three additional weeks.

Transformation—As described in Vogel and Hill (2008, Supra), Agrobacterium is scraped off 2-day-old MGL plates (plates with the MGL medium which contains: Tryptone 5 g/l, Yeast Extract 2.5 g/l, NaCl 5 g/l, D-Mannitol 5 g/l, MgSO4*7H2O 0.204 g/l, K2HPO4 0.25 g/l, Glutamic Acid 1.2 g/l, Plant Agar 7.5 g/l) and resuspended in liquid MS medium supplemented with 200 μM acetosyringone to an optic density (OD) at 600 nm (OD600) of 0.6. Once the desired OD was attained, 1 ml of 10% Synperonic PE/F68 (Sigma) per 100 ml of inoculation medium is added.

To begin inoculation, 300 callus pieces were placed in approximately 12 plates (25 callus pieces in each plate) and covered with the Agrobacterium suspension (8-8.5 ml). The callus was incubated in the Agrobacterium suspension for 15 minutes with occasional gentle rocking. After incubation, the Agrobacterium suspension was aspirated off and the calli are then transferred into co-cultivation plates, prepared by placing a sterile 7-cm diameter filter paper in an empty 90×15 mm petri plate. The calli pieces were then gently distributed on the filter paper. One co-cultivation plate was used for two starting callus plates (50 initial calli pieces). The co-cultivation plates were then sealed with parafilm and incubated at 22° C. in the dark for 3 days.

The callus pieces were then individually transferred onto CIM medium as described above, which is further supplemented with 200 mg/l Ticarcillin (to kill the Agrobacterium) and Bialaphos (5 mg/L) (for selection of the transformed resistant embryogenic calli sections), and incubated at 28° C. in the dark for 14 days.

The calli pieces were then transferred to shoot induction media (SIM; LS salts and vitamins plus 3% Maltose monohydrate) supplemented with 200 mg/l Ticarcillin, Bialaphos (5 mg/L), Indol-3-acetic acid (IAA) (0.25 mg/L), and 6-Benzylaminopurine (BAP) (1 mg/L), and are sub-cultured in light to the same media after 10 days (total of 20 days). At each sub-culture all the pieces from a single callus are kept together to maintain their independence and are incubated under the following conditions: lighting to a level of 60 1E m-2 s-1, a 16-h light, 8-h dark photoperiod and a constant 24° C. temperature. Plantlets emerged from the transformed calli.

When plantlets were large enough to handle without damage, they were transferred to plates containing the above mentioned shoot induction media (SIM) without Bialaphos. Each plantlet was considered as a different event. The plantlets grew axillary tillers and eventually became bushy. Each bush from the same plant (event ID) was then divided to tissue culture boxes (“Humus”) containing “rooting medium” [MS basal salts, 3% sucrose, 3 g/L phytagel, 2 mg/l α-Naphthalene Acetic Acid (NAA) and 1 mg/L IAA and Ticarcillin 200 mg/L, PH 5.8). All plants in a “Humus box” were different plants of the same transformation event.

When plantlets establish roots they were transplanted to soil and transferred to a greenhouse. To verify the transgenic status of plants containing the other constructs, T0 plants were subjected to PCR as previously described by Vogel et al. 2006 [Agrobacterium mediated transformation and inbred line development in the model grass Brachypodium distachyon. Plant Cell Tiss Org. Cult. 85:199-211].

Assay 1: Seed Yield, Plant Biomass and Plant Growth Rate in Greenhouse Conditions (Seed Maturation Assay).

Under Normal conditions—This assay follows seed yield production, the biomass formation and the rosette area growth of plants grown in the greenhouse at non-limiting nitrogen growth conditions. Transgenic Arabidopsis seeds were sown in agar media supplemented with ½ MS medium and a selection agent (Kanamycin). The T2 transgenic seedlings were then transplanted to 1.7 trays filled with peat and perlite in a 1:2 ratio. The plant were grown under normal growth conditions which included irrigation of the trays with a solution containing 6 mM inorganic nitrogen in the form of KNO3 with 1 mM KH2PO4, 1 mM MgSO4, 1.5 mM CaCl2 and microelements. Under normal conditions the plants grow in a controlled environment in a closed transgenic greenhouse, temperature about 18-22° C., humidity around 70%. Irrigation was done by flooding with a water solution containing 6 mM N (nitrogen) (as described hereinabove), and flooding was repeated whenever water loss reached 50%. All plants were grown in the greenhouse until mature seeds. Seeds were harvested, extracted and weighted. The remaining plant biomass (the above ground tissue) was also harvested, and weighted immediately or following drying in oven at 50° C. for 24 hours.

Under drought conditions and standard growth conditions—This assay follows seed yield production, the biomass formation and the rosette area growth of plants grown in the greenhouse under drought conditions and under standard growth conditions. Transgenic Arabidopsis seeds were sown in phytogel media supplemented with ½ MS medium and a selection agent (Kanamycin). The T2 transgenic seedlings were then transplanted to 1.7 trays filled with peat and perlite in a 1:2 ratio and tuff at the bottom of the tray and a net below the trays (in order to facilitate water drainage). Half of the plants were irrigated with tap water (standard growth conditions) when tray weight reached 50% of its field capacity. The other half of the plants were irrigated with tap water when tray weight reached 20% of its field capacity in order to induce drought stress. All plants were grown in the greenhouse until seeds maturation. Seeds were harvested, extracted and weighted. The remaining plant biomass (the above ground tissue) was also harvested, and weighted immediately or following drying in oven at 50° C. for 24 hours.

Under nitrogen limiting (low N) and standard (nitrogen non-limiting) conditions—This assay follows seed yield production, the biomass formation and the rosette area growth of plants grown in the greenhouse at limiting and non-limiting nitrogen growth conditions. Transgenic Arabidopsis seeds were sown in agar media supplemented with ½ MS medium and a selection agent (Kanamycin). The T2 transgenic seedlings were then transplanted to 1.7 trays filled with peat and perlite in a 1:1 ratio. The trays were irrigated with a solution containing nitrogen limiting conditions, which were achieved by irrigating the plants with a solution containing 2.8 mM inorganic nitrogen in the form of KNO3, supplemented with 1 mM KH2PO4, 1 mM MgSO4, 1.5 mM CaCl2 and microelements, while normal nitrogen levels were achieved by applying a solution of 5.5 mM inorganic nitrogen also in the form of KNO3 with 1 mM KH2PO4, 1 mM MgSO4, 1.5 mM CaCl2 and microelements. All plants were grown in the greenhouse until mature seeds. Seeds were harvested, extracted and weight. The remaining plant biomass (the above ground tissue) was also harvested, and weighted immediately or following drying in oven at 50° C. for 24 hours.

Each construct was validated at its T2 generation. Transgenic plants transformed with a construct conformed by an empty vector carrying a promoter and the selectable marker were used as control [The promoters which were used are described in Example 25 above, e.g., the At6669 promoter (SEQ ID NO: 10654) or the 35S promoter (SEQ ID NO: 10650]

The plants were analyzed for their overall size, growth rate, flowering, seed yield, 1,000-seed weight, dry matter and harvest index (HI-seed yield/dry matter). Transgenic plants performance was compared to control plants grown in parallel under the same (e.g., identical) conditions. Mock-transgenic plants expressing the uidA reporter gene (GUS-Intron) or with no gene at all, under the same promoter were used as controls.

The experiment was planned in nested randomized plot distribution. For each gene of the invention three to five independent transformation events were analyzed from each construct.

Digital imaging—A laboratory image acquisition system, which consists of a digital reflex camera (Canon EOS 300D) attached with a 55 mm focal length lens (Canon EF-S series), mounted on a reproduction device (Kaiser RS), which includes 4 light units (4×150 Watts light bulb) was used for capturing images of plant samples.

The image capturing process was repeated every 2 days starting from day 1 after transplanting till day 15. Same camera, placed in a custom made iron mount, was used for capturing images of larger plants sawn in white tubs in an environmental controlled greenhouse. The tubs were square shape include 1.7 liter trays. During the capture process, the tubs were placed beneath the iron mount, while avoiding direct sun light and casting of shadows.

An image analysis system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.39 [Java based image processing program which was developed at the U.S. National Institutes of Health and freely available on the internet at/rsbweb (dot) nih (dot) gov/]. Images are captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Leaf analysis—Using the digital analysis leaves data was calculated, including leaf number, rosette area, rosette diameter, and leaf blade area.

Vegetative growth rate: the relative growth rate (RGR) of leaf number [Formula VIII (described above)], rosette area (Formula IX above), plot coverage (Formula XI above) and harvest index (Formula XV above) were calculated with the indicated formulas.

Seeds average weight—At the end of the experiment all seeds were collected. The seeds were scattered on a glass tray and a picture is taken. Using the digital analysis, the number of seeds in each sample was calculated.

Dry weight and seed yield—On about day 80 from sowing, the plants were harvested and left to dry at 30° C. in a drying chamber. The vegetative portion above ground was separated from the seeds. The total weight of the vegetative portion above ground and the seed weight of each plot were measured and divided by the number of plants.

Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 30° C. in a drying chamber;

Seed yield per plant=total seed weight per plant (gr.).

1000 seed weight (the weight of 1000 seeds) (gr.).

Oil percentage in seeds—At the end of the experiment all seeds from each plot were collected. Seeds from 3 plots were mixed grounded and then mounted onto the extraction chamber. 210 ml of n-Hexane (Cat No. 080951 Biolab Ltd.) were used as the solvent. The extraction was performed for 30 hours at medium heat 50° C. Once the extraction has ended the n-Hexane was evaporated using the evaporator at 35° C. and vacuum conditions. The process was repeated twice. The information gained from the Soxhlet extractor (Soxhlet, F. Die gewichtsanalytische Bestimmung des Milchfettes, Polytechnisches J. (Dingler's) 1879, 232, 461) is used to create a calibration curve for the Low Resonance NMR. The content of oil of all seed samples was determined using the Low Resonance NMR (MARAN Ultra-Oxford Instrument) and its MultiQuant software package.

Silique length analysis—On day 50 from sowing, 30 siliques from different plants in each plot were sampled in block A. The chosen siliques were green-yellow in color and were collected from the bottom parts of a grown plant's stem. A digital photograph was taken to determine silique's length.

Statistical analyses—To identify outperforming genes and constructs, results from the independent transformation events tested were analyzed separately. Data was analyzed using Student's t-test and results were considered significant if the p value was less than 0.1. The JMP statistics software package was used (Version 5.2.1, SAS Institute Inc., Cary, N.C., USA).

Tables 234-240 summarize the observed phenotypes of transgenic plants exogenously expressing the gene constructs using the seed maturation (GH-SM) assays under low nitrogen (Low N) conditions. The evaluation of each gene was performed by testing the performance of different number of events. Event with p-value <0.1 was considered statistically significant.

TABLE 234
Genes showing improved plant performance at Low Nitrogen growth conditions
under regulation of At6669 promoter
Inflorescence
Dry Weight [mg]FloweringEmergence
GeneP-%P-%P-%
NameEvent #Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LGN5 88198.1884.20.27246.00.14−238.50.20−1
LGN5 88198.445.20.03−338.20.04−2
LGN5 88201.147.1L−138.9L−2
LGN5 88201.3947.90.271046.30.29−338.90.27−2
CONT.864.846.738.9
LGN6089175.147.40.10−3
LGN6089175.247.60.18−2
LGN6089176.147.50.12−2
LGN6089176.3956.20.041746.10.02−538.40.03−5
CONT.818.148.740.3
LGN4989079.347.40.26−1
LGN4989081.147.10.12−239.00.29−2
LGN4989081.3932.10.0312
LGN4989082.145.60.09−538.20.08−4
CONT.828.847.039.8
LGN5488208.2955.90.165
CONT.992.0
LGN2 89029.2855.00.17946.40.02−3
LGN2 89032.1847.10.108
CONT.782.448.0
LGN5 88198.148.20.23−140.20.23−1
LGN5 88198.447.1L−339.80.05−2
LGN5 88201.3802.70.098
CONT.793.148.840.4
LGN5488206.147.30.27−139.10.20−2
CONT.47.939.8
LGN3689045.147.20.26−3
LGN3689047.1590.40.139
CONT.539.648.5
LGN2489094.2570.40.0211
CONT.513.8
NUE10290004.138.00.23−4
NUE10290004.338.60.25−3
NUE10290005.238.30.25−3
CONT.39.7
LGN2 89029.243.30.02−535.20.15−5
LGN2 89032.344.90.19−2
LGN2 89033.1795.00.178
CONT.738.845.737.1
NUE10290004.3849.60.255
CONT.805.8
LGN2689036.1720.80.296
LGN2689036.4774.90.2414
LGN2689037.2854.60.0126
LGN2689037.4844.2L24
CONT.680.3
LGN6089174.239.90.15−1
LGN6089175.147.60.21−239.90.14−1
LGN6089176.31000.70.092046.70.03−439.70.05−2
CONT.831.948.440.4
LGN2689036.4504.30.1710
LGN2689037.2548.1L2038.00.16−3
LGN2689037.3514.60.0613
CONT.457.239.1
LGN4989079.3712.40.2910
LGN4989081.3739.20.281448.80.09−440.70.21−4
LGN4989081.6710.40.251048.00.03−540.20.12−5
LGN4989082.149.30.16−341.30.23−1
CONT.647.850.842.2
Table 234. ″CONT.″—Control; ″Ave.″—Average; ″% Incr.″ = % increment; ″p-val.″—p-value, L-p < 0.01.
TABLE 235
Genes showing improved plant performance at Low Nitrogen growth conditions
under regulation of At6669 promoter
Leaf Blade Area [cm2]Leaf NumberPlot Coverage [cm2]
Gene Event P-% P-% P-%
Name#Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LGN3689044.10.4820.021010.0L427.00.1310
LGN3689047.10.4610.085
CONT.0.4409.6224.5
LGN5 88198.110.80.215
LGN5 88198.41.070.161311.40.10764.60.1020
LGN5 88201.152.10.233
LGN5 88201.31.060.281112.40.011666.90.1924
CONT.0.94910.754.0
LGN6089174.210.40.073
LGN6089175.210.40.13346.80.249
LGN6089176.10.8790.091048.60.1313
LGN6089176.30.9380.011810.70.04453.00.0223
CONT.0.79510.343.0
LGN4989081.10.8880.09551.10.097
LGN4989081.30.9980.28810.90.02659.80.0914
LGN4989081.61.010.132011.10.08960.80.2916
LGN4989082.10.9630.031456.90.228
CONT.0.92510.252.5
LGN5488207.310.70.226
CONT.10.1
LGN2 89029.20.9250.091011.4L758.20.0321
CONT.0.83810.648.2
LGN5 88198.41.06L2210.80.20561.3L26
LGN5 88201.310.70.196
LGN5 88203.20.9320.248
CONT.0.87010.348.5
LGN2489094.20.677L3310.00.18537.7L35
LGN2489094.30.5730.141331.80.1314
LGN2489096.10.5530.22910.00.24430.80.2110
LGN2489096.230.90.3010
CONT.0.5099.5928.0
LGN5488207.310.40.20255.30.276
CONT.10.252.3
LGN3689044.130.50.225
LGN3689047.210.40.132
CONT.10.229.2
LGN6 89169.210.90.046
LGN6 89170.111.00.056
LGN6 89171.410.80.065
CONT.10.3
LGN2489094.20.7680.012142.7L21
CONT.0.63435.4
NUE10290003.534.50.106
NUE10290004.10.6900.111538.60.0719
CONT.0.60232.5
LGN2 89029.20.8900.022410.20.29348.7L25
CONT.0.7179.8438.9
LGN6089175.210.30.01451.70.2812
LGN6089176.30.924L910.60.06653.60.1013
CONT.0.8869.9747.4
LGN2689036.10.5810.274
CONT.0.557
LGN4989081.30.8860.29649.10.279
LGN4989081.60.9700.061653.50.0619
CONT.0.83844.9
Table 235. ″CONT.″—Control; ″Ave.″—Average; ″% Incr.″ = % increment; ″p-val.″—p-value, L-p < 0.01.
TABLE 236
Genes showing improved plant performance at Low Nitrogen growth conditions under
regulation of At6669 promoter
RGR Of Leaf NumberRGR Of Plot CoverageRGR Of Rosette Diameter
GeneEventP-% P-% P-%
Name#Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LGN3689044.10.6640.21123.000.1690.1920.303
CONT.0.5922.740.185
LGN588198.47.160.13180.3410.199
LGN588201.15.870.253
LGN588201.30.6180.12127.500.2224
CONT.0.5516.050.322
LGN6089174.20.641L16
LGN6089175.20.5960.1385.300.309
LGN6089176.15.560.13140.3140.219
LGN6089176.35.770.0618
CONT.0.5514.880.289
LGN4989079.30.5660.0520
LGN4989081.15.680.0980.3080.037
LGN4989081.36.450.15120.3110.108
LGN4989081.66.640.19270.3350.1616
LGN4989082.16.290.2490.3170.1110
CONT.0.4715.760.310
LGN5488206.10.6190.1221
LGN5488207.30.6370.1125
CONT.0.510
LGN289029.20.7190.14106.870.03220.3610.0411
CONT.0.6525.650.325
LGN588198.46.990.01280.3540.0214
LGN588203.20.3390.079
CONT.5.480.310
LGN2489094.24.050.01320.1960.1616
LGN2489094.33.470.1714
LGN2489096.13.340.309
CONT.3.060.169
LGN5488206.40.5770.088
LGN5488207.30.5790.218
LGN5488208.20.6320.0817
CONT.0.540
LGN3689047.20.7280.0810
CONT.0.662
LGN689169.20.6590.0718
LGN689170.10.681L22
LGN689171.40.6820.1122
LGN689173.10.6460.2415
CONT.0.560
LGN2489094.24.68L190.2010.167
LGN2489094.30.1970.275
LGN2489096.20.1990.296
CONT.3.930.188
NUE10290003.54.680.255
NUE10290004.15.290.11180.3410.304
CONT.4.480.328
LGN289029.26.80L270.414L18
LGN289029.70.8200.116
CONT.0.7745.340.352
LGN2689037.40.7070.297
CONT.0.658
LGN6089174.20.330L4
LGN6089175.10.3350.106
LGN6089175.20.3250.143
LGN6089176.36.170.13110.3320.115
CONT.5.540.324
LGN4989081.35.500.0310
LGN4989081.65.950.10180.3210.254
CONT.5.060.312
Table 236. ″CONT.″—Control; ″Ave.″—Average; ″% Incr.″ = % increment; ″p-val.″—p-value, L—p < 0.01.
TABLE 237
Genes showing improved plant performance at Low Nitrogen growth conditions under
regulation of At6669 promoter
Harvest IndexRosette Area [cm2]Rosette Diameter [cm]
Gene Event P-% P-% P-%
Name#Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LGN3689044.10.09420.19303.380.13103.010.244
LGN3689047.20.09790.1635
CONT.0.07253.062.90
LGN588198.48.080.10204.800.158
LGN588201.16.510.233
LGN588201.38.360.19244.730.2810
CONT.6.754.44
LGN6089174.20.2410.179
LGN6089175.10.2520.218
LGN6089175.25.850.249
LGN6089176.16.070.13134.270.118
LGN6089176.36.620.02234.380.0410
CONT.0.2335.373.97
LGN4989081.16.390.1164.350.073
LGN4989081.37.480.09144.610.245
LGN4989081.67.600.29164.810.229
LGN4989082.10.2110.08287.120.2284.560.088
CONT.0.1646.564.41
LGN5488206.10.188L48
LGN5488207.30.1620.1627
CONT.0.128
LGN289029.20.1480.12157.280.03214.520.0111
CONT.0.1296.034.09
LGN588198.47.66L264.82L14
LGN588203.26.290.2274.540.078
CONT.6.064.22
LGN2489094.24.71L353.480.0216
LGN2489094.33.980.13143.200.176
LGN2489096.13.850.21103.150.265
LGN2489096.23.860.3010
CONT.3.503.01
LGN5488206.40.3060.0615
LGN5488207.20.317L19
LGN5488207.30.2910.1396.910.276
LGN5488208.20.2970.2012
CONT.0.2666.53
LGN3689044.13.820.225
CONT.3.65
LGN689170.10.1760.2517
CONT.0.150
LGN2489094.25.34L213.73L9
LGN2489094.33.490.242
LGN2489096.10.1540.0813
CONT.0.1364.423.41
NUE10290003.54.320.106
NUE10290004.10.2120.22244.820.07193.880.0310
CONT.0.1724.063.53
LGN289029.20.2100.14176.09L254.48L15
CONT.0.1794.863.88
LGN6089174.20.3150.2616
LGN6089175.14.380.033
LGN6089175.26.460.28124.450.255
LGN6089176.36.700.10134.470.125
CONT.0.2865.934.25
LGN4989079.30.2090.1117
LGN4989081.10.2070.2316
LGN4989081.36.140.2794.340.234
LGN4989081.66.690.06194.610.0510
CONT.0.1795.614.19
Table 237. ″CONT.″—Control; ″Ave.″—Average; ″% Incr.″ = % increment; ″p-val.″—p-value, L—p < 0.01.
TABLE 238
Genes showing improved plant performance at Low Nitrogen
growth conditions under regulation of At6669 promoter
Seed Yield [mg]1000 Seed Weight [mg]
Gene Event P-% P-%
Name#Ave.Val.Incr.Ave.Val.Incr.
LGN3689044.162.90.1936
LGN3689047.259.70.2629
CONT.46.4
LGN588198.119.30.026
LGN588198.418.40.127
LGN588201.319.50.208
CONT.18.2
LGN6089174.217.40.264
LGN6089175.1213.20.031218.30.0210
LGN6089175.218.80.1313
LGN6089176.322.3L34
CONT.189.916.7
LGN4989079.3159.10.2118
LGN4989081.3162.50.232021.10.0512
LGN4989081.619.70.285
LGN4989082.1168.70.0525
CONT.135.018.8
LGN5488206.1160.70.0827
CONT.126.7
LGN289029.2126.4L26
CONT.100.5
LGN588198.121.0L8
LGN588201.321.50.0311
CONT.19.4
LGN2489094.219.1L15
CONT.16.5
LGN5488206.120.90.183
CONT.21.0
LGN689169.219.5L12
CONT.17.4
LGN389069.515.90.197
LGN389072.316.00.198
LGN389072.415.50.094
LGN389073.116.60.1112
CONT.14.9
LGN2489094.280.60.171519.60.0113
CONT.70.217.3
NUE10290004.1158.10.2022
CONT.130.0
LGN289029.2164.60.2125
CONT.131.9
LGN2689037.318.7L12
CONT.16.7
LGN6089174.2266.10.2421
LGN6089176.3249.70.171422.90.0216
CONT.237.719.6
LGN2689036.117.10.132
LGN2689037.318.20.029
CONT.16.7
LGN4989079.3148.30.1127
LGN4989081.320.00.0210
LGN4989081.620.80.0114
CONT.117.018.3
Table 238. ″CONT.″—Control; ″Ave.″—Average; ″% Incr.″ = % increment; ″p-val.″—p-value, L—p < 0.01.
TABLE 239
Genes showing improved plant performance at Low Nitrogen
growth conditions under regulation of At6669 promoter
1000 Seed Weight [mg]
Gene NameEvent #Ave.P-Val.% Incr.
LGN588198.119.30.026
LGN588198.418.40.127
LGN588201.319.50.208
CONT.18.2
LGN6089174.217.40.264
LGN6089175.118.30.0210
LGN6089175.218.80.1313
LGN6089176.322.3L34
CONT.16.7
LGN4989081.321.10.0512
LGN4989081.619.70.285
CONT.18.8
LGN588198.121.0L8
LGN588201.321.50.0311
CONT.19.4
LGN2489094.219.1L15
CONT.16.5
LGN5488206.120.90.183
CONT.21.0
LGN689169.219.5L12
CONT.17.4
LGN389069.515.90.197
LGN389072.316.00.198
LGN389072.415.50.094
LGN389073.116.60.1112
CONT.14.9
LGN2489094.219.60.0113
CONT.17.3
LGN2689037.318.7L12
CONT.16.7
LGN6089176.322.90.0216
CONT.19.6
LGN2689036.117.10.132
LGN2689037.318.20.029
CONT.16.7
LGN4989081.320.00.0210
LGN4989081.620.80.0114
CONT.18.3
Table 239. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L—p < 0.01.
TABLE 240
Genes showing improved plant performance at Low Nitrogen
growth conditions under regulation of At6669 promoter
Harvest Index
Gene NameEvent #Ave.P-Val.% Incr.
LGN3689044.10.09420.1930
LGN3689047.20.09790.1635
CONT.0.0725
LGN6089174.20.2410.179
LGN6089175.10.2520.218
CONT.0.233
LGN4989082.10.2110.0828
CONT.0.164
LGN5488206.10.188L48
LGN5488207.30.1620.1627
CONT.0.128
LGN289029.20.1480.1215
CONT.0.129
LGN5488206.40.3060.0615
LGN5488207.20.317L19
LGN5488207.30.2910.139
LGN5488208.20.2970.2012
CONT.0.266
LGN689170.10.1760.2517
CONT.0.150
LGN2489096.10.1540.0813
CONT.0.136
NUE10290004.10.2120.2224
CONT.0.172
LGN289029.20.2100.1417
CONT.0.179
LGN6089174.20.3150.2616
CONT.0.286
LGN4989079.30.2090.1117
LGN4989081.10.2070.2316
CONT.0.179
Table 240. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L—p < 0.01.

Tables 241-247 summarize the observed phenotypes of transgenic plants exogenously expressing the gene constructs using the seed maturation (GH-SM) assays under normal conditions. The evaluation of each gene was performed by testing the performance of different number of events. Event with p-value <0.1 was considered statistically significant.

TABLE 241
Genes showing improved plant performance at Normal growth conditions under regulation
of At6669 promoter
Dry Weight [mg]FloweringInflorescence Emergence
Gene Event P-% P-% P-%
Name#Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LGN3689047.1961.20.247
CONT.900.0
LBY9692428.41608.1L21
LBY8792256.11412.50.086
LBY3092324.41400.00.13535.60.02−428.20.11−2
LBY22591605.328.20.09−2
LBY22591607.328.40.25−2
LBY22591607.527.90.09−3
LBY21392030.21424.40.087
LBY21392032.11378.80.274
LBY21392032.41384.40.214
LBY21292026.427.90.21−3
LBY21292028.31395.10.205
LBY20292021.128.40.28−2
LBY20292022.31528.10.1515
LBY19391660.21409.40.08627.70.28−4
LBY19391662.128.30.14−2
LBY18292396.128.30.18−2
LBY17492080.11435.60.148
LBY15891649.135.90.04−3
LBY15492432.31569.40.0718
LBY14691590.235.0L−527.2L−6
LBY14691590.427.90.03−3
LBY14691593.334.2L−727.60.21−4
LBY14691594.135.90.04−3
LBY13992241.228.20.11−2
LBY13592321.635.80.05−328.10.06−3
LBY13592322.11497.50.131335.60.02−328.20.11−2
LBY11392234.136.00.05−228.30.18−2
LBY11392234.21429.40.04735.90.04−3
LBY11392234.535.70.02−328.20.13−2
CONT.1331.136.928.9
LGN588198.145.1L−238.00.07−1
LGN588198.444.8L−338.00.07−1
LGN588201.338.00.07−1
CONT.45.138.1
LBY9792034.329.80.23−122.00.14−2
LBY8792255.129.30.14−321.80.10−3
LBY8192009.128.90.30−421.60.21−4
LBY8192013.130.00.29−122.00.14−2
LBY2591335.329.10.24−421.80.10−3
LBY2591338.229.60.01−221.80.10−3
LBY23091667.130.00.29−1
LBY23091669.321.60.02−4
LBY21792359.229.30.14−3
LBY21792362.129.80.23−1
LBY13892075.228.80.02−521.3L−5
LBY13892076.129.80.23−1
LBY13892078.428.2L−721.2L−6
LBY13691442.921.2L−6
LBY13592321.621.50.24−4
LBY13592322.121.70.16−4
LBY13592323.130.00.29−1
LBY12091211.229.10.24−421.80.10−3
LBY11891432.328.2L−721.40.03−5
LBY11791366.121.50.02−5
LBY11791366.326.5L−1221.1L−6
LBY11292051.128.1L−721.0L−7
LBY11292051.328.3L−621.2L−6
LBY11292053.221.70.16−4
LBY11292053.621.80.10−3
LBY10891422.229.80.23−1
LBY10891423.128.20.05−721.1L−6
LBY10391381.1121.80.10−3
LBY10391381.628.70.08−521.70.16−4
LBY10391381.928.10.11−721.1L−6
CONT.30.222.5
LBY7992223.318.70.14−4
LBY7292764.125.20.14−2
LBY7292766.418.40.03−6
LBY3692526.123.90.14−718.2L−7
LBY3692526.219.00.10−3
LBY3292830.324.90.03−318.3L−6
LBY3292830.419.00.10−3
LBY3292832.118.80.08−4
LBY3092326.125.00.25−218.40.03−6
LBY23392474.324.90.15−3
LBY23392477.124.60.04−418.30.06−6
LBY23392477.224.70.11−4
LBY23392477.318.2L−7
LBY21492760.325.20.12−218.3L−6
LBY20492827.118.60.01−5
LBY20492828.125.10.20−2
LBY18792810.118.5L−5
LBY18792812.124.80.04−318.40.03−6
LBY18792812.325.30.28−1
LBY16592678.125.30.20−1
LBY16592678.324.20.02−518.30.06−6
LBY13792751.118.70.16−4
LBY13792752.125.00.11−218.60.21−5
LBY12792748.224.60.15−418.70.02−4
LBY12692834.319.00.10−3
LBY10792284.118.30.06−6
CONT.25.619.5
LGN6089174.21195.70.128
LGN6089175.246.70.24−338.00.09−4
LGN6089176.138.40.18−3
LGN6089176.345.40.02−638.00.09−3
CONT.1109.148.139.4
LGN4989079.31069.20.167
LGN4989081.31158.30.031638.10.02−2
LGN4989081.61117.90.091245.10.12−338.00.02−2
LGN4989082.138.00.01−2
CONT.998.245.938.2
LGN289029.246.90.08−3
LGN289032.31180.40.108
CONT.1090.448.6
LGN588198.145.20.02−4
LGN588198.444.6L−638.00.19−0
LGN588201.346.30.25−238.00.19−0
CONT.47.338.1
LGN5488207.21233.80.1214
CONT.1082.6
LGN689169.233.90.29−2
CONT.34.7
LGN3689044.11027.90.1016
CONT.889.6
LBY7992221.224.80.19−619.00.04−2
LBY7292765.125.20.01−519.00.04−2
LBY7292766.225.00.10−6
LBY7292766.426.00.14−2
LBY3692526.119.10.08−2
LBY3292830.125.10.20−519.00.04−2
LBY3292830.325.0L−619.00.04−2
LBY3292830.425.70.16−319.10.08−2
LBY3292832.125.4L−419.00.04−2
LBY3292833.225.60.07−319.10.08−2
LBY2692484.424.5L−819.00.04−2
LBY2692484.524.70.04−719.10.08−2
LBY23392474.324.2L−919.00.04−2
LBY23392477.325.60.01−3
LBY23392478.325.20.04−5
LBY21492760.324.50.11−719.00.04−2
LBY21492760.426.00.14−2
LBY21092845.225.20.01−519.00.04−2
LBY21092845.424.8L−619.10.08−2
LBY20492826.119.00.04−2
LBY20492827.125.80.12−3
LBY20492828.125.20.25−5
LBY20492828.326.20.29−1
LBY19691300.125.60.07−319.00.04−2
LBY19691303.225.0L−619.10.08−2
LBY18792810.126.00.09−2
LBY18792812.325.50.27−4
LBY18792813.225.40.17−419.10.08−2
LBY15492432.325.80.02−3
LBY15492433.426.00.20−2
LBY13792751.125.50.27−4
LBY13792751.225.80.07−2
LBY13792751.525.10.20−5
LBY12692834.326.00.19−2
LBY12692837.226.10.14−1
LBY12692837.325.40.19−4
LBY12692837.426.10.18−1
LBY12692838.124.6L−719.00.04−2
LBY12091214.125.60.04−3
LBY11392234.226.10.20−1
CONT.26.519.4
LBY8391332.247.20.11−239.20.21−2
LBY6391325.21548.1L13
LBY5190981.145.90.21−537.6L−6
LBY5190981.41431.20.214
LBY4890967.31446.90.07547.20.11−2
LBY22491528.439.20.21−2
LBY22491529.139.00.08−2
LBY2290962.41637.5L19
LBY19691303.21430.00.284
LBY19691304.21531.70.1912
LBY18891557.347.20.18−3
LBY15091644.339.00.08−2
LBY13491282.11711.3L2546.00.11−538.10.10−5
LBY13391138.11454.10.296
LBY13291277.11473.80.237
LBY13291279.346.70.03−438.10.02−5
LBY12591273.347.30.10−238.70.07−3
LBY10291262.11725.70.2326
CONT.1371.848.439.9
NUE10290003.51100.40.1215
NUE10290004.144.50.26−334.80.02−10
CONT.959.846.138.6
LGN2489094.2968.8L9
LGN2489096.2968.80.229
CONT.891.6
LBY9191634.21431.90.201234.50.16−6
LBY9191634.335.50.04−428.70.28−2
LBY8192009.135.50.04−428.20.03−4
LBY8192013.128.60.13−2
LBY8192013.21333.80.14435.70.11−327.90.01−5
LBY7792061.228.60.30−2
LBY7792062.11360.60.04635.50.04−428.30.05−3
LBY7792063.61340.60.214
LBY5492084.41389.40.288
LBY5492087.328.50.09−3
LBY4992039.428.10.02−4
LBY3592123.128.80.30−2
LBY2991619.128.70.28−2
LBY2991619.235.80.10−328.70.28−2
LBY2991619.535.20.02−428.60.30−2
LBY2391396.31431.90.271228.70.28−2
LBY2391397.228.60.30−2
LBY2391398.21523.8L19
LBY17492079.81411.20.2910
LBY15891647.328.80.28−2
LBY15891649.11515.00.0518
LBY14691590.234.9L−527.30.15−7
LBY14691590.428.20.03−4
LBY14691593.31421.50.261135.00.01−526.90.13−8
LBY13892075.21474.4L15
LBY13892076.128.60.30−2
LBY11791366.31451.20.261333.5L−926.60.02−9
LBY11791367.11414.50.0610
LBY11791367.228.60.13−2
LBY11592073.135.80.10−328.50.09−3
LBY11292053.61483.10.0316
LBY10891422.228.70.28−2
LBY10891423.134.7L−628.10.02−4
LBY10891423.428.30.10−3
LBY10891423.61372.50.257
LBY10491269.51600.60.0725
LBY10391381.91390.00.27828.80.30−2
CONT.1283.236.829.3
LGN289029.241.80.03−532.90.02−4
CONT.44.034.3
LGN2689037.41229.10.0126
CONT.973.8
NUE10290005.246.60.18−236.80.19−3
CONT.47.738.0
LGN6089174.245.50.06−238.20.11−1
LGN6089175.146.10.16−338.0L−2
LGN6089175.21125.70.21846.50.19−2
LGN6089176.31192.90.051445.10.01−338.20.10−1
CONT.1044.146.538.3
LBY9191630.136.50.29−2
LBY9191633.136.50.16−2
LBY7792062.136.60.23−2
LBY5492084.436.50.20−2
LBY5492086.136.40.11−3
LBY3592120.236.70.25−2
LBY2991617.135.90.27−427.60.13−5
LBY2591335.228.60.23−1
LBY23091665.136.40.12−3
LBY23091667.236.60.20−2
LBY23091669.235.30.12−6
LBY22591605.335.80.03−4
LBY22591607.335.30.22−6
LBY22591607.535.50.06−527.10.10−6
LBY22591607.636.00.12−428.0L−3
LBY21792363.136.50.20−2
LBY21392033.135.80.20−4
LBY21292024.336.20.10−3
LBY20292022.136.10.06−3
LBY20292022.236.60.20−2
LBY19391660.228.60.23−1
LBY19391664.536.60.21−2
LBY18292398.336.50.17−2
LBY13691442.936.50.15−2
LBY11891432.536.40.12−3
LBY11891434.436.70.25−2
CONT.37.428.9
LGN4989081.11065.00.098
LGN4989081.31162.90.209
LGN4989081.61095.80.0511
CONT.1065.3
Table 241. ″CONT.″ = Control; ″Ave.″ = Average; ″% Incr.″ = % increment; ″p-val.″ = p-value, L = p < 0.01. It should be noted that a negative increment (in percentages) when found in flowering or inflorescence emergence indicates drought avoidance of the plant.
TABLE 242
Genes showing improved plant performance at Normal growth conditions under regulation
of At6669 promoter
Leaf Blade Area [cm2]Leaf NumberPlot Coverage [cm2]
GeneEvent P-% P-% P-%
Name#Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LBY3092324.41.06L1711.50.131068.6L29
LBY3092326.20.9620.187
LBY22591607.50.9710.12860.30.2214
LBY22591607.611.10.116
LBY19391662.10.9690.25858.90.0811
LBY17492079.10.9730.168
LBY15891649.11.040.151663.30.0519
LBY14691590.40.9850.149
LBY13992241.21.04L1564.00.0221
LBY13592321.111.10.11658.90.2811
LBY13592321.61.080.192011.10.11668.30.2729
LBY11392234.10.9630.147
LBY11392234.51.010.2213
LBY11392234.657.30.298
CONT.0.90010.453.0
LGN588198.11.000.059
LGN588198.41.080.09711.80.02665.20.0710
LGN588201.31.070.091612.20.18969.20.1517
CONT.1.0111.159.3
LBY9792034.31.030.041111.10.241266.50.0126
LBY9792038.210.6L7
LBY8792255.11.16L2511.10.101273.2L38
LBY8792257.110.60.307
LBY8192009.11.15L2468.30.1529
LBY5592419.110.20.163
LBY2591337.110.10.202
LBY23091669.30.9910.167
LBY21792362.10.9850.21610.50.23658.10.1010
LBY13892076.110.40.105
LBY13892078.10.9870.18610.10.29256.90.178
LBY13892078.41.12L2110.90.031070.5L34
LBY13691442.91.10L1810.4L563.90.0221
LBY13592321.61.150.152410.20.04367.70.0928
LBY12091210.21.040.1813
LBY12091211.210.80.099
LBY11891432.31.19L2811.40.111571.7L36
LBY11891433.110.80.168
LBY11891434.51.130.032264.50.0122
LBY11791366.310.60.14758.90.2011
LBY11592073.51.070.011610.6L764.30.0322
LBY11292051.11.29L3911.40.151579.10.0950
LBY11292051.31.08L1611.40.011567.9L29
LBY11292053.210.20.163
LBY11292053.61.10L1962.50.0418
LBY10891422.210.10.192
LBY10891423.110.10.29257.20.158
LBY10891423.41.27L3711.20.271478.00.1048
LBY10391381.111.030.0512
LBY10391381.30.9940.14710.10.29259.40.0813
LBY10391381.61.070.2915
LBY10391381.91.08L1611.40.151569.8L32
CONT.0.9279.9152.8
LBY9692428.411.80.124
LBY7992221.287.80.2212
LBY7292764.11.460.04812.70.081288.80.1913
LBY7292765.312.30.13984.00.067
LBY7292766.412.40.07988.20.0912
LBY3692526.11.560.201512.20.08897.9L24
LBY3292830.31.590.2117
LBY3092326.11.48L911.60.18388.2L12
LBY23392477.11.490.061012.10.11793.50.2019
LBY23392477.21.55L1411.80.07493.7L19
LBY21492760.111.80.164
LBY21492760.312.00.15683.60.076
LBY21492760.41.500.1110
LBY21092845.211.90.035
LBY21092846.21.440.17612.00.036
LBY20492827.11.660.1722102.60.2630
LBY20492828.31.65L2212.60.0111101.70.0229
LBY16592677.71.420.085
LBY16592678.31.530.191389.7L14
LBY13792750.11.490.2610
LBY13792752.11.600.121892.6L18
LBY12692834.388.2L12
LBY12692837.412.00.296
LBY12692838.111.80.164
LBY11091176.61.410.294
LBY11091179.21.50L1011.90.03590.0L14
LBY10792285.21.410.15411.70.27385.00.078
CONT.1.3611.378.6
LGN6089175.10.8440.09710.20.25149.50.0215
LGN6089175.20.8690.181050.00.1216
LGN6089176.10.8340.14646.70.128
LGN6089176.30.8960.071310.80.12555.10.0428
CONT.0.79010.243.2
LGN4989081.10.9590.291011.10.26558.90.2318
LGN4989081.30.9800.211311.40.29861.60.1723
LGN4989081.61.050.271012.2L1566.40.1222
CONT.0.95310.654.4
LGN289029.21.040.22511.80.02768.10.0413
CONT.0.98611.060.1
LGN588198.41.11L1810.90.03867.2L28
LGN588201.31.020.09911.00.10963.00.0320
LGN588203.257.80.2510
CONT.0.93510.152.4
LGN2489094.20.967L2610.40.24558.2L26
CONT.0.7699.9146.2
LGN689169.211.50.0110
CONT.10.5
LBY7992221.311.90.17587.70.2915
LBY7292764.11.64L2712.20.25797.20.1027
LBY7292765.11.67L30102.80.1534
LBY7292766.41.440.061211.80.20488.30.0915
LBY3692526.11.40L885.60.2212
LBY3292830.11.56L2112.10.20698.10.1128
LBY3292830.31.48L1511.80.26493.10.0922
LBY3292832.11.390.24885.40.1012
LBY3292833.21.420.0510
LBY2692484.41.670.102912.20.038102.00.0433
LBY2692484.51.370.07781.00.016
LBY2692488.11.410.201086.40.0213
LBY23392477.11.350.01512.00.17681.40.306
LBY23392478.312.20.157
LBY21492760.11.440.111190.00.0118
LBY21492760.31.470.2714
LBY21092845.21.470.1714
LBY21092845.41.430.141182.8L8
LBY21092846.21.410.031080.40.205
LBY20492826.112.10.106
LBY20492827.186.5L13
LBY20492828.11.410.0310
LBY20492828.385.20.2711
LBY19691303.21.600.0224100.20.2131
LBY18792809.21.490.271612.70.011292.50.2021
LBY18792812.31.420.191012.20.28888.20.2315
LBY15492432.111.80.204
LBY15492432.312.10.106
LBY12692837.31.370.17782.60.178
LBY12692837.412.60.021179.90.114
LBY12692838.112.50.011083.60.239
LBY12091210.21.340.24477.90.292
LBY12091214.112.50.011084.80.2411
LBY11392234.211.80.264
LBY11392235.21.33L3
LBY10792284.31.380.287
CONT.1.2911.476.4
LBY8391330.10.7300.031342.70.1012
LBY8391330.20.8160.152651.80.0636
LBY8391332.10.7260.101244.00.0315
LBY8391332.20.7060.099
LBY6391326.110.20.172
LBY5190981.142.20.0911
LBY4890968.10.7640.011845.20.0119
LBY4890968.20.7500.101643.50.0714
LBY22491527.443.40.2914
LBY22491528.30.6860.226
LBY22491529.10.7250.251210.40.15343.80.1115
LBY2290961.243.30.1714
LBY2290965.50.7340.291443.60.1014
LBY19691300.10.7080.07943.30.0414
LBY19691303.20.7740.022045.20.2919
LBY15091644.30.787L2210.70.09647.9L26
LBY13391139.40.7880.102211.10.231049.30.0529
LBY13291277.10.847L3152.60.2038
LBY13291279.30.881L3611.0L954.90.0344
LBY12591273.210.20.172
LBY12591273.30.8260.082851.30.1035
LBY10291262.10.6990.21842.60.1712
CONT.0.64710.038.1
NUE10290003.50.8240.051149.10.1515
NUE10290004.10.7850.21647.20.2711
CONT.0.74142.7
LGN2489094.20.9910.021411.00.14564.80.0419
LGN2489094.30.9220.18611.10.10760.20.1611
LGN2489096.211.00.195
CONT.0.86710.454.4
LBY9191634.21.530.279
LBY9191634.31.590.061499.80.1613
LBY8192013.11.600.2814
LBY8192013.21.680.2120108.00.0622
LBY7792061.21.700.012112.60.204113.90.0129
LBY7792062.11.87L33116.5L32
LBY4992039.41.590.201498.20.2511
LBY3592119.21.500.297
LBY3592123.21.550.1211
LBY2991619.11.530.17999.60.1713
LBY2991619.51.640.0217102.50.1416
LBY2391396.31.610.0915103.40.2217
LBY2391397.21.500.297
LBY2391398.21.530.299
LBY17492079.11.560.1111101.60.1915
LBY17492080.11.540.141097.20.3010
LBY15891647.313.20.049100.90.2414
LBY15891649.11.600.0814104.80.2619
LBY14691593.31.590.0613107.40.0521
LBY13892075.297.20.2810
LBY13892076.11.540.1610
LBY11791366.31.550.1111
LBY11592071.21.530.189
LBY11592071.31.530.309
LBY11592073.11.580.0713101.30.1215
LBY11292051.31.700.2722
LBY10891422.21.580.0713100.10.1513
LBY10891423.11.730.1924107.30.0521
LBY10491267.412.60.204
LBY10491269.21.610.3015100.80.2814
LBY10391381.812.60.243
CONT.1.4012.188.4
LGN289029.21.05L3111.00.051367.7L46
LGN289032.30.8910.0611
CONT.0.7999.7246.4
LGN2689037.49.830.165
CONT.9.38
LGN6089175.20.9230.23610.50.04452.70.058
LGN6089176.30.9990.011511.0L960.30.0811
CONT.0.95610.748.7
LBY7792062.11.040.241165.40.1911
LBY5492084.41.19L2812.70.021684.4L43
LBY5492086.11.030.171011.40.30466.70.1113
LBY2991617.11.130.012111.80.07775.6L28
LBY2991619.11.020.199
LBY2591335.21.09L1712.6L1582.1L39
LBY23091669.212.10.2711
LBY2391397.31.090.061612.10.161076.80.0730
LBY22591605.31.050.021312.2L1274.20.0326
LBY22591607.312.4L1382.90.3041
LBY22591607.51.150.252411.80.05877.2L31
LBY21792363.11.020.07911.50.19564.50.239
LBY21392033.11.150.032312.4L1379.30.0635
LBY21292024.21.030.1910
LBY21292024.31.080.031612.10.021171.60.0321
LBY20292022.10.9970.17712.20.031269.60.0418
LBY18292396.112.20.061170.50.2820
LBY13691442.61.080.041612.10.031071.90.0322
LBY13691442.91.090.141711.80.14874.20.1326
CONT.0.93311.059.0
LGN4989081.310.60.138
LGN4989081.61.050.271210.70.12961.20.0819
CONT.0.9679.7851.4
Table 242. ″CONT.″ = Control; ″Ave.″ = Average; ″% Incr.″ = % increment; ″p-val.″ = p-value, L = p < 0.01.
TABLE 243
Genes showing improved plant performance at
Normal growth conditions under regulation of At6669 promoter
RGR Of LeafRGR Of Rosette
NumberRGR Of Plot CoverageDiameter
GeneEventP-%P-%P-%
Name#Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LGN3689046.10.2790.23 6
CONT.0.262
LBY3092324.47.840.1426
LBY15891649.17.430.2619
LBY13992241.27.520.2220
LBY13592321.67.910.14270.4070.2814
CONT.6.240.357
LGN588198.47.270.06 90.376L 9
LGN588201.37.600.2414
CONT.6.670.346
LBY9792034.38.740.05270.4630.2610
LBY8792255.19.54L380.4720.1612
LBY8192009.18.840.05280.4740.1412
LBY13892078.49.220.02340.4680.1911
LBY13691442.98.310.12210.4660.2210
LBY13592321.68.870.04290.4780.1313
LBY13592323.10.4920.1016
LBY11891432.30.8140.10259.370.01360.4780.1113
LBY11891434.58.320.1221
LBY15192073.58.350.1221
LBY11292051.10.7970.132210.3L500.5130.0221
LBY11292051.30.8080.10248.790.05280.4690.1911
LBY11292053.68.160.1818
LBY10891423.410.2L480.5120.0221
LBY10391381.99.080.02320.4600.28 9
CONT.0.6516.890.423
LBY7292766.40.4850.28 6
LBY3692526.19.970.05240.5130.0312
LBY3292830.39.260.22150.5100.0411
LBY3292833.29.300.20160.5080.0911
LBY3092326.19.060.29130.4970.13 9
LBY23392477.19.560.12190.4970.12 8
LBY23392477.29.470.16180.5100.0511
LBY21492760.30.4850.29 6
LBY21092846.20.7000.1314
LBY20492827.110.60.02320.5220.0214
LBY20492828.10.4910.18 7
LBY20492828.310.20.04270.4990.10 9
LBY18792809.29.650.12200.4940.24 8
LBY16592678.39.090.27130.4930.16 8
LBY13792752.19.580.11190.5040.0710
LBY11091177.39.190.26150.5020.1210
LBY11091179.29.100.27130.4950.16 8
CONT.0.6148.020.458
LGN6089175.15.76L180.331L10
LGN6089175.25.700.10170.3150.28 4
LGN6089176.15.370.0610
LGN6089176.36.200.06270.3300.179
CONT.4.890.302
LGN4989079.30.5530.13 8
LGN4989081.16.490.19200.3250.18 6
LGN4989081.36.740.1924
LGN4989081.60.6190.14287.320.14240.3690.2015
CONT.0.4855.930.321
LGN5488207.30.5970.2110
LGN5488208.20.5670.07 8
CONT.0.542
LGN289029.20.7090.25 87.960.03130.407L10
CONT.0.6597.040.369
LGN588198.47.610.01250.3860.12 6
LGN588201.37.220.05190.3630.29 4
LGN588203.26.600.29 9
CONT.6.070.365
LGN2489094.26.800.02260.3280.0314
LGN2489096.10.3110.10 8
CONT.5.400.288
LGN5488206.40.5680.2910
CONT.0.514
LGN689170.10.6860.27 6
CONT.0.647
LBY7992221.310.90.1815
LBY7292764.111.90.03240.5400.0511
LBY7292765.112.7L330.5510.0313
LBY7292766.410.90.18140.5210.21 7
LBY3292830.112.10.02270.5430.0412
LBY3292830.311.30.11180.5480.0313
LBY2692484.412.5L310.5670.0217
LBY2692488.110.80.2013
LBY23392474.311.10.1916
LBY23392477.10.5220.207
LBY23392478.311.00.19150.5250.25 8
LBY21492760.111.20.10170.5310.10 9
LBY21492760.310.80.29130.5450.1112
LBY21492760.40.5250.30 8
LBY21092845.210.70.28120.5420.0512
LBY21092845.40.5380.0711
LBY20492826.110.70.3012
LBY20492827.10.5390.0611
LBY20492828.30.5180.27 7
LBY19691303.212.30.01290.5610.0115
LBY18792809.211.40.09190.5390.0711
LBY18792812.310.90.1715
LBY15492432.10.8450.2015
LBY13792751.20.5190.23 7
LBY12091214.10.8740.101910.70.24120.5370.0810
CONT.0.7369.540.486
LBY8391330.25.410.05350.3420.1422
LBY4890968.14.740.2719
LBY22491529.20.6350.2015
LBY19691303.24.730.2819
LBY19691304.20.6560.1019
LBY15091644.30.6670.06214.940.18240.3310.2318
LBY13391139.40.6480.12175.160.1029
LBY13291277.15.380.0535
LBY13291279.30.6480.13175.770.01450.3460.1124
LBY12591273.35.310.0633
CONT.0.5523.990.280
LGN389069.40.6890.2016
LGN389072.30.6380.25 7
LGN389072.40.6870.1515
LGN389073.10.6440.16 8
CONT.0.596
NUE10290003.56.780.1216
NUE10290004.16.560.2112
NUE10290005.20.7690.1015
CONT.0.6715.84
LGN2489094.27.750.05190.3640.17 6
LGN2489094.30.7340.09 97.240.18110.3600.25 5
LGN2489096.20.7190.28 7
CONT.0.6716.530.343
LBY7792061.213.20.1929
LBY7792062.113.50.1531
CONT.10.3
LGN289029.29.37L460.4690.137
CONT.6.400.437
LGN2689037.30.6470.24 7
LGN2689037.40.6510.23 8
CONT.0.602
NUE10290005.20.8100.0717
CONT.0.693
LGN6089175.26.320.01120.3710.22 9
LGN6089176.30.6040.03117.000.10110.3650.28 7
CONT.0.6356.310.351
LBY5492084.410.10.01420.4450.1616
LBY2991617.19.200.06300.4340.2413
LBY2591335.29.800.02380.4400.1815
LBY23091669.28.980.11270.4430.1915
LBY2391397.39.270.06310.4560.1019
LBY22591605.38.940.1126
LBY22591607.310.00.02410.4410.2315
LBY22591607.59.340.0532
LBY21392033.10.7560.18269.550.03350.4420.1815
LBY21292024.38.560.1921
LBY18292396.18.480.2320
LBY13691442.68.710.1523
LBY13691442.99.060.0928
CONT.0.5997.080.384
LGN4989081.66.860.0918
CONT.5.80
Table 243. “CONT.” = Control; “Ave.” = Average; “% Incr.” = % increment; “p-val.” = p-value, L = p < 0.01. RGR = relative growth rate.
TABLE 244
Genes showing improved plant performance at
Normal growth conditions under regulation of At6669 promoter
Rosette Diameter
Harvest IndexRosette Area [cm2][cm]
GeneEvent P-%P-%P-%
Name#Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LBY8792256.10.2370.2014
LBY3092324.48.58L295.05L10
LBY3092326.24.910.06 7
LBY22591605.30.2410.0616
LBY22591607.30.2450.0518
LBY22591607.57.540.22144.710.29 3
LBY21292026.40.2460.2919
LBY20292022.10.2240.29 8
LBY19391660.20.2540.0623
LBY19391662.10.2290.30107.360.08114.900.157
LBY17492079.14.720.20 3
LBY15891648.14.820.17 5
LBY15891649.17.920.05195.090.0311
LBY13992241.28.000.02215.03L10
LBY13592321.17.360.2811
LBY13592321.68.540.27295.150.2813
LBY13592322.10.2430.0517
LBY11392234.14.740.22 4
LBY11392234.67.170.29 8
CONT.0.2076.634.57
LGN588198.10.268L10
LGN588198.40.2780.27148.140.07105.050.02 7
LGN588201.38.650.15175.000.1111
CONT.0.2607.414.74
LBY9792034.38.310.01264.940.079
LBY8792255.19.14L385.26L16
LBY8792256.14.800.08 6
LBY8192009.18.540.15295.19L14
LBY23091669.34.680.20 3
LBY21792362.17.260.10104.740.21 4
LBY13892078.17.110.17 84.750.08 5
LBY13892078.48.82L345.100.0313
LBY13691442.64.750.09 5
LBY13691442.84.710.12 4
LBY13691442.97.980.02215.00L10
LBY13592321.14.660.29 3
LBY13592321.68.460.09285.100.0912
LBY12091210.24.850.10 7
LBY11891432.38.96L365.140.0213
LBY11891434.58.060.01225.02L11
LBY11791366.37.360.2011
LBY11592073.34.720.15 4
LBY11592073.58.040.03225.09L12
LBY11292051.19.890.09505.570.1123
LBY11292051.38.49L295.10L12
LBY11292053.67.820.04184.850.02 7
LBY10891423.17.150.15 84.890.01 8
LBY10891423.49.750.10485.520.0122
LBY10391381.114.820.16 6
LBY10391381.37.430.08134.840.02 7
LBY10391381.98.72L325.14L13
CONT.6.604.54
LBY7992221.211.00.22125.920.189
LBY7292764.111.10.19135.560.24 2
LBY7292765.310.50.06 7
LBY7292766.411.00.09125.85L 7
LBY3692526.112.2L246.16L13
LBY3292830.36.14L13
LBY3092326.111.0L125.77L 6
LBY23392477.111.70.20195.95L 9
LBY23392477.211.7L196.10L12
LBY21492760.310.50.07 65.760.23 6
LBY20492827.112.80.26306.130.2512
LBY20492828.15.800.07 6
LBY20492828.312.70.02295.980.0410
LBY16592678.311.2L145.880.03 8
LBY13792752.111.6L185.88L 8
LBY12692834.311.0L12
LBY11091179.211.2L146.01L10
LBY10792285.210.60.07 8
CONT.9.835.45
LGN6089175.10.2690.08266.190.02154.330.02 7
LGN6089175.20.294L386.260.12164.300.14 6
LGN6089176.10.2600.02225.840.12 84.170.16 3
LGN6089176.36.890.04284.600.0414
CONT.0.2135.404.04
LGN4989081.17.360.24174.680.21 7
LGN4989081.37.710.18224.770.21 8
LGN4989081.68.300.12225.130.1211
CONT.6.804.64
LGN5488206.10.2680.2212
LGN5488206.40.2740.2310
CONT.0.250
LGN289029.28.510.04135.06L 8
CONT.7.514.69
LGN588198.48.40L285.17L11
LGN588201.10.2770.0628
LGN588201.37.870.03204.910.12 6
LGN588203.27.230.2510
CONT.0.2166.554.64
LGN2489094.27.28L264.680.0112
CONT.5.774.18
LGN5488206.10.2680.0615
LGN5488208.20.2640.1514
CONT.0.263
LGN689173.10.2380.1427
CONT.0.188
LBY7992221.311.00.29155.550.27 5
LBY7292764.112.20.10275.920.0612
LBY7292765.112.90.15346.18L17
LBY7292766.25.400.07 3
LBY7292766.411.00.09155.75L 9
LBY3692526.110.70.22125.700.07 8
LBY3292830.112.30.11286.010.0314
LBY3292830.311.60.09226.00L14
LBY3292832.110.70.10125.480.11 4
LBY3292833.25.630.13 7
LBY2692484.412.70.04336.340.1920
LBY2692484.510.10.01 65.340.30 1
LBY2692488.110.80.02135.490.03 4
LBY23392477.110.20.30 65.580.07 6
LBY21492760.111.30.01185.76L 9
LBY21092845.25.81L10
LBY21092845.410.3L85.670.22 8
LBY21092846.210.00.20 5
LBY20492827.110.8L135.840.0711
LBY20492828.310.70.2711
LBY19691303.212.50.21316.140.0417
LBY18792809.211.60.20215.900.2112
LBY18792812.311.00.23155.650.24 7
LBY18792813.25.380.11 2
LBY13792751.25.450.02 4
LBY12692837.310.30.17 85.460.03 4
LBY12692837.49.980.11 45.410.08 3
LBY12692838.110.50.23 9
LBY12091210.29.740.29 2
LBY12091214.110.60.24115.580.29 6
CONT.9.565.26
LBY8391330.15.340.10124.210.05 7
LBY8391330.26.470.06364.89L25
LBY8391332.15.500.03154.240.02 8
LBY8391332.24.160.18 6
LBY6391326.10.2220.02184.230.07 8
LBY5190981.15.280.0911
LBY5190981.40.2020.28 7
LBY4890968.15.660.01194.36L11
LBY4890968.25.440.07144.260.019
LBY4890970.20.2180.0316
LBY22491527.40.2140.18145.430.29144.290.23 9
LBY22491529.15.470.11154.290.01 9
LBY2290961.10.2130.0613
LBY2290961.25.410.17144.190.16 7
LBY2290965.55.450.10144.230.12 8
LBY19691300.10.2120.18135.420.04144.300.0410
LBY19691303.25.650.29194.340.2411
LBY18891557.30.2250.0120
LBY15091642.10.2370.1526
LBY15091644.20.2200.1417
LBY15091644.35.98L264.47L14
LBY13491281.54.260.08 9
LBY13491284.10.2410.2128
LBY13391139.24.150.16 6
LBY13391139.46.170.05294.420.0213
LBY13291277.16.570.20384.710.0420
LBY13291279.30.2050.20 96.870.03444.84L23
LBY12591273.20.2110.2312
LBY12591273.36.410.10354.620.0818
LBY12591273.40.2240.2619
LBY10291262.15.320.17124.180.14 6
CONT.0.1884.773.92
NUE10290003.50.2620.25136.130.15154.570.25v5
NUE10290004.10.2920.12265.900.27114.600.18 6
CONT.0.2325.334.35
LGN2489094.28.100.04194.960.06 8
LGN2489094.37.530.16114.880.15 6
CONT.6.794.61
LBY9191630.16.290.2712
LBY9191633.20.2520.15126.020.19 7
LBY9191634.30.2580.271412.50.16136.010.13 7
LBY8192013.213.50.06226.180.1910
LBY7792061.214.20.01296.340.0113
LBY7792062.10.2530.201214.6L326.67L18
LBY4992039.412.30.25115.990.17 6
LBY4992043.10.2700.0319
LBY2991617.10.2530.1412
LBY2991619.10.2700.041912.50.17135.940.20 5
LBY2991619.50.2680.101912.80.14166.080.08 8
LBY2391396.312.90.2217
LBY2391397.40.2640.0517
LBY17492079.112.70.19156.040.15 7
LBY17492080.112.10.3010
LBY15891647.312.60.24145.950.22 6
LBY15891649.113.10.26196.140.15 9
LBY14691590.10.2550.2213
LBY14691593.30.2560.151313.40.05216.060.13 8
LBY13892075.212.20.2810
LBY13892076.15.970.20 6
LBY11592073.112.70.12156.050.09 7
LBY11292053.20.2700.0419
LBY10891422.212.50.15136.040.11 7
LBY10891423.113.40.05216.330.1012
LBY10491269.212.60.28146.140.13 9
CONT.0.22611.05.63
LGN289029.20.2570.10168.47L465.250.0115
CONT.0.2215.804.56
NUE10290004.10.1990.1518
CONT.0.168
LGN6089174.20.334L23
LGN6089175.10.321L18
LGN6089175.20.2960.03 96.590.05 84.560.19 3
LGN6089176.10.323L19
LGN6089176.37.540.08114.830.13 6
CONT.0.3056.824.58
LBY7792061.20.2210.1530
LBY7792062.18.180.19115.030.06 8
LBY7792063.40.2050.2121
LBY5492084.410.5L435.540.0419
LBY5492086.18.330.11134.960.11 6
LBY4992043.20.2320.2337
LBY2991617.10.2060.18219.45L285.25L12
LBY2991619.10.2020.12194.900.19 5
LBY2591335.210.3L395.50L18
LBY23091667.10.1930.2414
LBY23091669.25.200.1911
LBY2391397.39.600.07305.410.0516
LBY22591605.39.270.03265.120.0910
LBY22591607.30.269L5810.40.30415.510.2918
LBY22591607.50.2330.01379.65L315.250.0912
LBY21792363.18.060.23 94.970.08 6
LBY21392032.10.2010.1418
LBY21392033.19.920.06355.460.0217
LBY21292024.24.990.16 7
LBY21292024.38.950.03215.230.0112
LBY20292022.10.2050.21218.700.04185.070.05 9
LBY18292396.10.2250.16338.810.28205.100.15 9
LBY18292398.20.2230.2331
LBY18292398.30.2040.1120
LBY13691442.68.980.03225.190.0111
LBY13691442.99.270.13265.150.1810
CONT.0.1707.374.67
LGN4989079.30.2000.22 7
LGN4989081.67.660.08195.010.18 9
LGN4989082.10.2080.1311
CONT.0.1906.424.61
Table 244. “CONT.” = Control; “Ave.” = Average; “% Incr.” = % increment; “p-val.” = p-value, L = p < 0.01.
TABLE 245
Genes showing improved plant performance at
Normal growth conditions under regulation of At6669 promoter
GeneSeed Yield [mg]1000 Seed Weight [mg]
NameEvent #Ave.P-Val.% Incr.Ave.P-Val.% Incr.
LBY9692428.420.10.0913
LBY8992259.122.30.1125
LBY8792255.219.10.04 7
LBY8792256.1334.10.0721
LBY5592422.620.1L13
LBY3092326.219.90.0112
LBY22591605.3300.90.26 9
LBY22591607.218.60.19 4
LBY22591607.3323.90.0617
LBY21292028.3310.90.1313
LBY20292021.1319.50.1616
LBY20292022.118.80.21 5
LBY19391660.2358.40.043021.1L18
LBY18292398.319.6L10
LBY17492079.821.30.0719
LBY13992239.120.50.0315
LBY13592321.119.1L 7
LBY13592321.619.80.0411
LBY13592322.1363.20.0132
LBY13592323.118.20.19 2
LBY13592323.3298.70.30 8
CONT.275.817.9
LGN588198.1273.60.081119.50.02 8
LGN588198.4279.40.211418.40.21 2
LGN588201.321.40.2212
CONT.245.719.2
LGN6089175.1279.80.1318
LGN6089175.2301.90.0228
LGN6089176.1283.50.0620
LGN6089176.322.7L22
CONT.236.518.7
LGN4989081.322.3L19
LGN4989081.620.90.0312
CONT.18.7
LGN588198.121.00.07 9
LGN588198.419.10.25 4
LGN588201.1267.20.2911
LGN588201.322.00.0514
CONT.241.219.3
LGN2489094.221.70.0817
CONT.18.5
LGN5488206.1282.80.28 8
CONT.284.5
LGN689169.219.50.12 6
LGN689173.1206.90.2918
CONT.175.518.3
LGN3689044.1128.60.2339
CONT. 92.6
LGN689169.217.9L14
LGN689171.416.50.22 5
CONT.15.7
LBY8391330.1288.60.3011
LBY6391325.219.5L 7
LBY6391326.1289.00.2111
LBY5190981.4288.90.251119.60.05 8
LBY2290961.1299.60.0915
LBY2290961.219.90.2810
LBY19691300.1308.00.0518
LBY19691303.221.30.0317
LBY18891557.3335.00.2228
LBY15091642.1332.3L27
LBY15091644.2301.50.0816
LBY13491282.1304.30.231721.3L17
LBY13491284.1382.4L47
LBY13291279.3289.80.281120.3L12
LBY12591273.219.4L7
LBY12591273.4305.30.0617
LBY10291262.120.50.0413
CONT.261.018.2
NUE10290003.5287.40.0130
NUE10290004.1294.70.0133
CONT.221.6
LGN2489094.219.6L18
CONT.16.7
LBY9191630.120.00.0430
LBY9191633.118.50.1221
LBY9191633.219.00.0824
LBY8192009.119.60.0528
LBY8192009.317.60.2515
LBY8192009.418.10.1718
LBY7792061.117.90.2017
LBY7792061.218.70.1122
LBY7792062.1344.80.1018
LBY7792063.617.60.2515
LBY5492084.717.70.2515
LBY5492087.317.90.2217
LBY3592119.218.00.1817
LBY2991617.118.70.1922
LBY2991617.418.50.1221
LBY2991619.117.80.2516
LBY2991619.518.90.0923
LBY2391397.2324.90.2912
LBY17492079.717.70.2615
LBY15891647.217.50.2714
LBY15891647.518.40.1320
LBY15891648.119.80.0529
LBY14691593.3364.50.182520.80.0236
LBY13892076.119.80.0529
LBY11791365.118.40.2520
LBY11791366.118.50.1721
LBY11592071.217.60.2515
LBY11292051.320.30.0832
LBY11292052.217.70.2316
LBY11292053.2337.90.1616
LBY10891423.419.40.0627
LBY10391381.818.00.1818
LBY10391381.918.80.1122
CONT.291.315.3
LGN289029.2268.50.0120
CONT.224.7
LGN2689036.120.20.1813
LGN2689037.220.80.1516
LGN2689037.320.4L14
LGN2689037.419.10.05 7
CONT.17.9
NUE10290004.1208.70.0320
CONT.174.1
LGN6089174.2373.20.0918
LGN6089175.1328.50.1311
LGN6089175.2332.8L12
LGN6089176.1342.8L16
LGN6089176.3334.20.201323.20.2213
CONT.316.521.3
LBY9191630.118.6L15
LBY9191633.117.70.0310
LBY7792062.117.50.02 8
LBY4992039.418.2L12
LBY4992043.117.30.04 7
LBY4992043.216.80.15 4
LBY3592122.117.80.0110
LBY2991617.1275.70.2319
LBY2591335.218.6L15
LBY2591338.217.40.03 7
LBY2591339.117.10.08 6
LBY22591607.3318.70.0338
LBY22591607.5304.70.0632
LBY21792363.118.70.1316
LBY20292022.217.70.12 9
LBY19391660.218.70.2616
LBY18292396.217.30.03 7
LBY18292398.217.00.19 5
LBY18292398.316.90.17 5
LBY11891434.417.10.30 6
CONT.231.516.2
LGN4989081.3202.20.201122.1L14
LGN4989081.620.80.25 7
CONT.201.519.5
LGN2689036.117.9L 7
LGN2689036.417.9L 6
LGN2689037.219.50.0216
LGN2689037.320.6L23
LGN2689037.417.70.21 5
CONT.16.8
Table 245. “CONT.” = Control; “Ave.” = Average; “% Incr.” = % increment; “p-val.” = p-value, L = p < 0.01.
TABLE 246
Genes showing improved plant performance at Normal
growth conditions under regulation of At6669 promoter
1000 Seed Weight [mg]
Gene NameEvent #Ave.P-Val.% Incr.
LBY9692428.420.10.0913
LBY8992259.122.30.1125
LBY8792255.219.10.047
LBY5592422.620.1L13
LBY3092326.219.90.0112
LBY22591607.218.60.194
LBY20292022.118.80.215
LBY19391660.221.1L18
LBY18292398.319.6L10
LBY17492079.821.30.0719
LBY13992239.120.50.0315
LBY13592321.119.1L7
LBY13592321.619.80.0411
LBY13592323.118.20.192
CONT.17.9
LGN588198.119.50.028
LGN588198.418.40.212
LGN588201.321.40.2212
CONT.19.2
LGN6089176.322.7L22
CONT.18.7
LGN4989081.322.3L19
LGN4989081.620.90.0312
CONT.18.7
LGN588198.121.00.079
LGN588198.419.10.254
LGN588201.322.00.0514
CONT.19.3
LGN2489094.221.70.0817
CONT.18.5
LGN689169.219.50.126
CONT.18.3
LGN689169.217.9L14
LGN689171.416.50.225
CONT.15.7
LBY6391325.219.5L7
LBY5190981.419.60.058
LBY2290961.219.90.2810
LBY19691303.221.30.0317
LBY13491282.121.3L17
LBY13291279.320.3L12
LBY12591273.219.4L7
LBY10291262.120.50.0413
CONT.18.2
LGN2489094.219.6L18
CONT.16.7
LBY9191630.120.00.0430
LBY9191633.118.50.1221
LBY9191633.219.00.0824
LBY8192009.119.60.0528
LBY8192009.317.60.2515
LBY8192009.418.10.1718
LBY7792061.117.90.2017
LBY7792061.218.70.1122
LBY7792063.617.60.2515
LBY5492084.717.70.2515
LBY5492087.317.90.2217
LBY3592119.218.00.1817
LBY2991617.118.70.1922
LBY2991617.418.50.1221
LBY2991619.117.80.2516
LBY2991619.518.90.0923
LBY17492079.717.70.2615
LBY15891647.217.50.2714
LBY15891647.518.40.1320
LBY15891648.119.80.0529
LBY14691593.320.80.0236
LBY13892076.119.80.0529
LBY11791365.118.40.2520
LBY11791366.118.50.1721
LBY11592071.217.60.2515
LBY11292051.320.30.0832
LBY11292052.217.70.2316
LBY10891423.419.40.0627
LBY10391381.818.00.1818
LBY10391381.918.80.1122
CONT.15.3
LGN2689036.120.20.1813
LGN2689037.220.80.1516
LGN2689037.320.4L14
LGN2689037.419.10.057
CONT.17.9
LGN6089176.323.20.2213
CONT.21.3
LBY9191630.118.6L15
LBY9191633.117.70.0310
LBY7792062.117.50.028
LBY4992039.418.2L12
LBY4992043.117.30.047
LBY4992043.216.80.154
LBY3592122.117.80.0110
LBY2591335.218.6L15
LBY2591338.217.40.037
LBY2591339.117.10.086
LBY21792363.118.70.1316
LBY20292022.217.70.129
LBY19391660.218.70.2616
LBY18292396.217.30.037
LBY18292398.217.00.195
LBY18292398.316.90.175
LBY11891434.417.10.306
CONT.16.2
LGN4989081.322.1L14
LGN4989081.620.80.257
CONT.19.5
LGN2689036.117.9L7
LGN2689036.417.9L6
LGN2689037.219.50.0216
LGN2689037.320.6L23
LGN2689037.417.70.215
CONT.16.8
Table 246. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L—p < 0.01.
TABLE 247
Genes showing improved plant performanceat Normal
growth conditions under regulation of At6669 promoter
Harvest Index
Gene NameEvent #Ave.P-Val.% Incr.
LBY8792256.10.2370.2014
LBY22591605.30.2410.0616
LBY22591607.30.2450.0518
LBY21292026.40.2460.2919
LBY20292022.10.2240.298
LBY19391660.20.2540.0623
LBY19391662.10.2290.3010
LBY13592322.10.2430.0517
CONT.0.207
LGN588198.10.268L10
LGN588198.40.2780.2714
CONT.0.260
LGN6089175.10.2690.0826
LGN6089175.20.294L38
LGN6089176.10.2600.0222
CONT.0.213
LGN5488206.10.2680.2212
LGN5488206.40.2740.2310
CONT.0.250
LGN588201.10.2770.0628
CONT.0.216
LGN5488206.10.2680.0615
LGN5488208.20.2640.1514
CONT.0.263
LGN689173.10.2380.1427
CONT.0.188
LBY6391326.10.2220.0218
LBY5190981.40.2020.287
LBY4890970.20.2180.0316
LBY22491527.40.2140.1814
LBY2290961.10.2130.0613
LBY19691300.10.2120.1813
LBY18891557.30.2250.0120
LBY15091642.10.2370.1526
LBY15091644.20.2200.1417
LBY13491284.10.2410.2128
LBY13291279.30.2050.209
LBY12591273.20.2110.2312
LBY12591273.40.2240.2619
CONT.0.188
NUE10290003.50.2620.2513
NUE10290004.10.2920.1226
CONT.0.232
LBY9191633.20.2520.1512
LBY9191634.30.2580.2714
LBY7792062.10.2530.2012
LBY4992043.10.2700.0319
LBY2991617.10.2530.1412
LBY2991619.10.2700.0419
LBY2991619.50.2680.1019
LBY2391397.40.2640.0517
LBY14691590.10.2550.2213
LBY14691593.30.2560.1513
LBY11292053.20.2700.0419
CONT.0.226
LGN289029.20.2570.1016
CONT.0.221
NUE10290004.10.1990.1518
CONT.0.168
LGN6089174.20.334L23
LGN6089175.10.321L18
LGN6089175.20.2960.039
LGN6089176.10.323L19
CONT.0.305
LBY7792061.20.2210.1530
LBY7792063.40.2050.2121
LBY4992043.20.2320.2337
LBY2991617.10.2060.1821
LBY2991619.10.2020.1219
LBY23091667.10.1930.2414
LBY22591607.30.269L58
LBY22591607.50.2330.0137
LBY21392032.10.2010.1418
LBY20292022.10.2050.2121
LBY18292396.10.2250.1633
LBY18292398.20.2230.2331
LBY18292398.30.2040.1120
CONT.0.170
LGN4989079.30.2000.227
LGN4989082.10.2080.1311
CONT.0.190
Table 247. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L—p < 0.01.

Tables 248-254 summarize the observed phenotypes of transgenic plants exogenously expressing the gene constructs using the seed maturation (GH-SM) assays under drought conditions. The evaluation of each gene was performed by testing the performance of different number of events. Event with p-value <0.1 was considered statistically significant.

TABLE 248
Genes showing improved plant performance at Drought growth conditions under regulation
of At6669 promoter
Inflorescence
Dry Weight [mg]FloweringEmergence
GeneEventP-%P-%P-%
Name#Ave.Val. Incr.Ave.Val.Incr.Ave.Val.Incr.
LBY8391330.21126.90.26 640.20.06−2
LBY8391330.339.90.19−3
LBY8291184.31192.00.2112
LBY5190984.21136.00.08 7
LBY22491527.440.30.24−2
LBY22491529.21103.80.17 4
LBY2290961.11126.2L 6
LBY2290961.21252.1L18
LBY19691300.11101.90.07 447.80.29−140.10.20−2
LBY19691303.21162.10.28 9
LBY19691304.21181.00.0611
LBY18891557.31142.50.18 8
LBY15091644.31142.10.28 8
LBY13491281.539.90.02−2
LBY13491282.11225.00.1115
LBY13391139.140.20.09−2
LBY13391139.21092.50.11 3
LBY13291279.31106.90.11 4
LBY10291262.11142.5L 8
LBY10291264.146.8L−339.90.19−3
CONT.1061.548.240.9
LBY7992221.223.8L−619.10.01−3
LBY7992221.619.20.15−3
LBY7992223.319.30.09−2
LBY7292764.119.20.15−3
LBY7292765.124.40.05−419.10.01−3
LBY7292766.224.60.01−319.10.01−3
LBY3292830.124.70.23−319.0L−4
LBY3292830.324.3L−419.10.01−3
LBY3292833.224.2L−419.20.09−3
LBY2692484.424.2L−519.0L−4
LBY2692484.519.20.09−3
LBY23392474.324.1L−519.0L−4
LBY23392477.224.80.14−2
LBY23392477.324.60.01−319.30.09−2
LBY21492760.324.1L−519.0L−4
LBY21092845.225.00.17−119.20.09−3
LBY21092845.324.80.17−219.20.26−2
LBY21092845.424.60.01−319.20.06−2
LBY21092846.119.20.06−2
LBY20492826.124.60.01−3
LBY20492827.124.80.14−219.10.01−3
LBY20492828.124.50.01−319.20.06−2
LBY20492828.325.00.17−1
LBY19691303.224.1L−519.0L−4
LBY18792809.219.20.09−3
LBY18792812.324.60.01−319.30.09−2
LBY18792813.225.00.17−119.0L−4
LBY15492432.319.0L−4
LBY13792751.224.60.02−319.20.02−3
LBY12692834.324.4L−419.0L−4
LBY12692837.325.00.17−119.10.01−3
LBY12692838.124.70.23−3
LBY12091211.219.10.02−3
LBY12091214.124.60.28−319.0L−4
LBY10792284.119.20.09−3
LBY10792284.224.70.23−319.10.01−3
CONT.25.419.7
LBY9692428.31027.50.1411
LBY8992259.11135.00.092337.00.02−1
LBY8792257.31034.40.0912
LBY5592422.61055.60.1514
LBY3092324.31052.50.2614
LBY3092324.435.6L−528.60.16−4
LBY3092326.135.70.07−5
LBY3092326.21171.70.0526
LBY22591607.535.7L−5
LBY22591607.636.0L−428.2L−5
LBY21392032.11023.70.0111
LBY21392033.3 958.10.28 336.80.09−228.70.11−3
LBY21292024.3 990.60.15 734.60.18−828.50.19−4
LBY21292026.437.00.02−1
LBY21292028.31088.8L1837.20.16−1
LBY20292019.236.10.20−4
LBY20292021.136.0L−4
LBY20292022.21128.80.072237.00.02−128.80.07−3
LBY19391660.21047.50.221336.50.28−3
LBY19391662.136.80.09−228.2L−5
LBY19391664.2 998.10.24 8
LBY19391664.51026.9L1137.10.18−1
LBY18292396.137.10.18−1
LBY18292396.21061.90.2015
LBY18292396.428.80.07−3
LBY17492079.11062.50.161528.60.15−4
LBY17492079.737.30.23−1
LBY17492079.81035.60.1112
LBY17492081.11024.40.2011
LBY15891647.336.90.03−2
LBY15492433.435.6L−528.40.22−4
LBY15492433.536.30.10−3
LBY14691590.2 960.00.28 434.80.16−728.0L−6
LBY14691590.41020.60.021035.50.01−528.1L−5
LBY14691593.335.00.11−728.50.01−4
LBY14691594.136.90.03−2
LBY13992241.21013.10.28 935.1L−627.5L−7
LBY13592321.1 982.10.10 6
LBY13592321.635.80.03−5
LBY13592322.136.20.15−328.3L−4
LBY11392234.237.30.23−1
LBY11392234.536.80.09−2
LBY11392234.637.20.16−1
CONT. 926.537.529.7
LBY9191633.135.50.27−5
LBY9191634.236.50.13−328.30.03−5
LBY7792062.11136.90.271336.50.11−2
LBY5492084.41104.60.12 935.90.05−429.10.14−2
LBY5492084.71176.60.0917
LBY5492084.81045.00.21 3
LBY5492086.136.40.08−329.10.14−2
LBY4992039.41155.0L1436.50.11−229.40.29−2
LBY4992041.11072.50.16 6
LBY3592119.11091.20.29 8
LBY2991619.11080.60.01 736.40.08−329.10.11−2
LBY2991619.21038.10.25 336.20.20−3
LBY2591336.11086.90.06 8
LBY2591338.236.60.15−2
LBY23091665.11049.40.10 429.20.26−2
LBY23091667.236.50.11−2
LBY23091669.236.60.26−2
LBY23091669.335.90.02−428.30.22−5
LBY2391396.336.20.20−3
LBY2391397.41103.8L 936.60.15−2
LBY2391398.236.80.27−2
LBY22591605.335.90.05−428.40.29−5
LBY22591607.336.60.15−2
LBY22591607.636.10.04−328.60.27−4
LBY21792363.11160.3L1536.50.29−3
LBY21392033.11095.00.17 836.80.27−2
LBY21392033.31131.20.151235.90.05−4
LBY21292024.31050.60.08 4
LBY20292019.21085.6L 8
LBY20292021.11052.50.29 4
LBY20292022.21215.0L2036.20.17−329.10.29−3
LBY19391660.21080.00.01 7
LBY19391662.11092.60.14 8
LBY19391664.51146.9L1436.60.15−2
LBY18292396.11035.60.24 335.40.18−528.20.14−6
LBY18292396.21065.00.04 5
LBY18292398.21081.90.19 735.90.05−428.30.03−5
LBY13691442.11048.80.12 4
LBY13691442.21068.10.02 6
LBY13691442.636.70.20−2
LBY13691442.81098.80.02 935.80.02−428.80.05−3
LBY13691442.936.60.15−2
LBY11891434.41111.9L10
CONT.1009.837.429.8
LBY9792038.228.40.05−4
LBY8792256.128.20.02−421.2L−6
LBY8192009.128.30.07−4
LBY8192013.228.1L−521.30.05−5
LBY2591338.228.80.18−222.00.18−2
LBY23091669.229.00.28−1
LBY21792362.228.20.02−421.50.23−5
LBY13892078.128.10.02−521.50.02−5
LBY13892078.428.60.23−321.40.03−5
LBY13691442.828.50.04−321.1L−6
LBY13592322.121.80.12−3
LBY12091212.121.80.12−3
LBY12091214.128.70.19−321.70.14−4
LBY11891432.328.20.04−421.2L−6
LBY11791366.128.30.07−421.50.23−5
LBY11791366.326.60.01−1021.0L−7
LBY11791367.128.30.07−4
LBY11592073.328.60.06−3
LBY11292051.128.10.01−421.40.03−5
LBY11292051.328.50.04−321.80.12−3
LBY10891422.228.20.02−421.80.12−3
LBY10891423.127.9L−521.0L−7
LBY10891423.428.20.02−421.60.20−4
LBY10491267.428.70.20−3
LBY10391381.1128.30.02−421.30.01−5
LBY10391381.927.90.02−521.30.05−5
CONT.29.422.5
LBY9692428.424.60.18−618.4L−8
LBY7992221.224.90.09−5
LBY7992223.225.60.08−219.60.14−2
LBY7992223.325.50.06−3
LBY7292764.125.30.14−3
LBY3692526.124.30.28−718.60.12−7
LBY3692526.225.60.08−2
LBY3092326.125.10.02−4
LBY23392474.318.60.12−7
LBY23392477.325.1L−419.30.18−4
LBY21492760.325.30.14−3
LBY21092845.225.0L−4
LBY20492827.119.30.18−4
LBY20492828.125.2L−4
LBY18792813.225.10.06−4
LBY16592678.125.1L−419.10.28−5
LBY16592678.325.0L−418.70.07−7
LBY13792751.524.70.04−518.5L−8
LBY12792744.219.20.05−4
LBY12792748.219.30.18−4
LBY12692834.325.1L−4
LBY12692838.124.9L−518.50.15−8
LBY11091176.125.20.01−3
LBY10792284.325.50.06−3
LBY10792285.218.70.07−7
CONT.26.120.0
LBY9191630.11156.90.191635.80.19−228.30.18−2
LBY8192009.128.20.05−3
LBY8192013.21096.20.031035.80.18−227.60.18−5
LBY5492084.71066.20.12 7
LBY5492084.81105.00.291134.80.21−528.10.03−3
LBY5492087.328.40.16−2
LBY4992039.41093.80.201035.10.09−428.00.02−3
LBY4992043.135.30.03−328.30.06−3
LBY4992043.21070.00.10 8
LBY3592122.11069.40.26 8
LBY2991619.128.30.18−2
LBY2991619.235.60.22−228.00.02−3
LBY2991619.51073.10.16 8
LBY2391397.235.10.02−428.60.24−1
LBY17492079.71065.00.12 7
LBY14691590.233.90.17−727.60.18−5
LBY14691590.434.20.15−627.80.01−4
LBY14691593.327.80.01−4
LBY14691594.11053.10.20 6
LBY13892076.21042.50.24 5
LBY11791366.128.30.18−2
LBY11791366.31127.50.231431.90.08−1225.00.13−14 
LBY11592071.228.50.16−2
LBY11292053.235.80.19−228.50.16−2
LBY11292053.435.30.03−328.10.03−3
LBY10891423.133.0L−1027.70.04−5
LBY10891423.41091.90.2910
LBY10891423.636.00.30−1
LBY10491269.235.50.06−328.20.21−3
LBY10391381.935.50.24−3
CONT. 993.336.529.0
Table 248. “CONT.—”Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”-p-value, L-p < 0.01.
TABLE 249
Genes showing improved plant performance at
Drought growth conditions under regulation of At6669 promoter
Leaf Blade Area
[cm2]Leaf NumberPlot Coverage [cm2]
GeneEvent P-%P-%P-%
Name#Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LBY8391330.20.741L2144.5L22
LBY8391330.30.7040.051542.10.2516
LBY6391325.410.3L 5
LBY6391326.110.20.27 3
LBY5190981.139.10.29 8
LBY4890968.10.6580.09 710.10.20 340.00.0710
LBY22491527.40.6660.17 940.90.0413
LBY22491529.10.6720.081010.80.11 942.7L18
LBY22491529.20.6790.151139.60.15 9
LBY19691300.10.6880.171244.70.0423
LBY19691303.20.7260.261943.80.2621
LBY19691304.30.6850.011210.40.04 540.60.0412
LBY15091644.30.7140.2516
LBY13491282.10.6960.2714
LBY13391139.410.30.17 5
LBY13291277.10.7600.122410.20.09 450.10.2438
LBY12591273.30.763L2445.8L26
LBY10291262.110.50.02 7
CONT.0.613  9.8536.3
LBY7992221.21.33L1212.40.171882.70.1023
LBY7992221.31.370.201611.1L 579.50.0618
LBY7992221.61.250.27 5
LBY7292764.111.20.29 6
LBY7292765.11.420.102013.20.132593.00.1138
LBY7292765.311.10.04 5
LBY7292766.21.300.01 911.8L1278.5L17
LBY7292766.41.280.03811.80.071174.10.0310
LBY3692526.112.60.2019
LBY3292830.11.490.252611.40.12 888.00.1331
LBY3292830.312.6L1985.60.2927
LBY3292830.411.40.01 8
LBY2692484.41.31L1112.1L1583.7L24
LBY2692484.51.310.271074.80.1711
LBY2692485.11.360.171411.7L1082.90.0723
LBY2692488.112.10.0114
LBY23392474.311.5L 9
LBY23392477.211.80.3011
LBY23392478.311.60.181079.10.1318
LBY21492760.111.2L 6
LBY21492760.311.80.1912
LBY21492760.411.60.24 9
LBY21492761.110.80.19 2
LBY21492763.211.2L 6
LBY21092845.21.40L1811.6L1082.90.1223
LBY21092845.311.50.158
LBY21092846.111.20.16677.50.2115
LBY21092846.21.280.21 8
LBY20492825.111.4L 8
LBY20492826.11.33L1212.50.141880.80.0320
LBY20492827.11.41L1812.00.121387.0L29
LBY20492828.11.42L1912.60.171991.7L36
LBY19691301.311.10.02 5
LBY19691303.21.44L2111.8L1188.2L31
LBY18792809.21.37L1512.5L1884.9L26
LBY18792813.212.00.2513
LBY15492433.411.10.02 5
LBY13992239.111.30.07 7
LBY13792751.21.270.10 711.40.05 877.60.1415
LBY13792753.111.20.16 6
LBY12692834.311.7L10
LBY12692837.31.320.031111.40.27 876.20.2313
LBY12091211.21.250.12 511.6L 973.00.09 9
LBY12091212.111.10.21 5
LBY12091214.11.260.14 673.70.0610
LBY11392234.21.340.021311.90.171380.8L20
LBY10792284.111.20.29 6
LBY10792284.21.260.07 610.90.19 3
CONT.1.1910.667.3
LBY9692428.40.8510.191347.80.0411
LBY8992259.20.7970.23 645.80.28 6
LBY8992261.60.976L2958.40.0236
LBY8992263.310.20.25 5
LBY8792256.110.10.19 4
LBY8792257.10.8210.19 948.90.2014
LBY8792257.30.9330.022353.50.0724
LBY5592419.110.10.23 3
LBY5592419.210.10.23 3
LBY5592422.50.9020.041949.60.1315
LBY3092324.20.8170.20 810.20.21 447.80.0811
LBY3092324.310.20.10 5
LBY3092324.41.03L3611.00.041367.9L58
LBY3092326.20.901L1952.4L22
LBY22591605.30.8720.041510.20.21 448.00.1012
LBY22591607.20.7910.23 510.60.28 847.20.2910
LBY22591607.50.8770.1616
LBY22591607.60.8040.21 746.20.16 7
LBY21392030.20.8640.0714
LBY21392033.10.934L2410.60.01 953.6L25
LBY21392033.30.952L2610.50.02 756.0L30
LBY21292024.30.9060.202053.20.2724
LBY21292026.40.9480.122651.50.0720
LBY21292028.310.10.14 4
LBY20292019.20.8820.031751.50.2020
LBY20292021.10.8930.171849.90.1516
LBY20292022.10.8230.06 948.80.2514
LBY19391660.210.40.05 648.50.2113
LBY19391662.10.8690.251551.60.2620
LBY19391664.210.10.14 4
LBY18292396.110.10.19 446.10.16 7
LBY18292396.20.8660.0315
LBY18292396.40.7900.27 510.80.171047.60.0611
LBY18292398.310.10.14 4
LBY17492079.10.905L20
LBY17492079.710.20.10 5
LBY17492079.80.8800.291710.20.21 4
LBY15891647.30.8700.071549.20.0414
LBY15891649.10.8330.101047.00.09 9
LBY15492433.41.01L3410.6L 954.70.1627
LBY15492433.510.70.24 949.90.2616
LBY14691590.40.8330.0410
LBY14691594.10.8250.05 949.90.1816
LBY13992239.20.8530.071310.40.17 651.0L19
LBY13992241.21.01L3410.40.02 760.9L42
LBY13592321.61.040.063811.1L1366.70.0855
LBY13592323.10.8260.05 947.50.0610
LBY11392234.10.8720.101548.50.2313
LBY11392234.20.952L2610.70.101052.60.2822
LBY11392234.50.8290.031010.20.10 449.00.0214
LBY11392234.60.8210.24 947.10.07 9
CONT.0.755 9.7743.0
LBY9191633.10.9180.291758.00.0818
LBY9191634.20.8610.161053.80.1810
LBY7792062.10.9500.022211.40.03 763.2L29
LBY5492086.10.9420.082111.70.21 963.60.1730
LBY3592119.10.8270.28 655.60.0814
LBY2991619.10.9120.091760.60.1224
LBY2991619.20.9170.091711.60.18 962.10.0827
LBY2591335.20.9180.111760.70.1824
LBY23091669.30.9380.082011.30.03 664.10.0931
LBY2391397.30.9560.162211.40.01 764.80.0432
LBY22591605.30.944L2111.60.25 866.0L35
LBY22591607.353.80.21 10
LBY22591607.50.9960.072711.90.071270.1L43
LBY21792363.10.9030.1016
LBY20292022.111.20.04 561.50.2826
LBY20292022.212.00.031260.10.2923
LBY19391664.50.8270.27 653.70.1810
LBY18292396.10.963L2363.30.0229
LBY18292398.21.02L3011.40.03 771.4L46
LBY13691442.10.8440.28 857.60.1918
LBY13691442.60.925L18
LBY13691442.81.02L3011.40.05 769.10.0141
LBY13691442.90.9790.062511.40.13 767.40.1438
LBY11891434.50.8830.041311.40.03 758.80.0220
CONT.0.78110.749.0
LBY9792034.310.10.16 4
LBY9792038.20.9410.131210.70.111058.00.0823
LBY8792255.110.20.16 5
LBY8792256.10.8990.26 710.9L12
LBY8792258.110.20.07 6
LBY8192009.10.9390.0812
LBY8192013.110.10.16 4
LBY2591335.30.9460.071210.20.20 655.10.0817
LBY23091665.10.8920.28 650.30.29 6
LBY23091667.11.02L2158.60.1424
LBY21792359.110.60.25 9
LBY21792362.21.13L3510.60.071069.0L46
LBY13892076.210.00.27 3
LBY13892078.40.9380.271156.40.2419
LBY13691442.810.10.14 4
LBY13592321.110.40.27 7
LBY13592321.61.00L1910.10.27 457.7L22
LBY13592322.110.00.27 3
LBY12091212.110.00.27 3
LBY11891432.31.13L3410.90.281265.30.0238
LBY11891434.510.00.27 351.20.20 8
LBY11292051.10.9420.061210.40.02 754.40.0915
LBY11292051.31.01L2010.6L1059.9L27
LBY11292053.210.00.27 3
LBY10891422.210.6L 951.60.17 9
LBY10891423.110.6L1055.20.0617
LBY10891423.41.020.112110.50.01 860.00.0827
LBY10491267.40.9440.0512
LBY10491269.210.80.2411
LBY10391381.110.9500.071310.20.07 556.20.0119
LBY10391381.954.20.2115
CONT.0.841 9.7047.3
LBY9692425.459.20.22 5
LBY9692428.41.28L3011.40.14 977.70.0838
LBY8992259.11.030.26 410.80.24 3
LBY8992259.210.90.10 458.40.25 3
LBY8992261.611.00.06 4
LBY7992221.21.280.162911.20.13 771.50.0827
LBY7292764.11.080.06 964.90.3015
LBY7292765.110.90.20 365.60.1716
LBY7292766.211.20.08 6
LBY7292766.41.150.201611.4L 970.10.1724
LBY3692526.11.210.302311.60.051074.10.2631
LBY3692526.259.40.26 5
LBY3292833.21.180.061911.60.051066.80.1418
LBY3092324.21.13L1559.40.28 5
LBY3092324.41.130.021466.70.1918
LBY3092326.21.140.251511.00.10 467.20.1019
LBY23392477.311.10.03 661.20.11 8
LBY23392478.31.050.11 659.10.25 5
LBY21492760.11.130.2514
LBY21492760.31.060.10 7
LBY21492760.411.10.30 5
LBY21492761.163.70.2613
LBY21092845.211.60.291071.40.3027
LBY21092846.21.210.152366.50.2718
LBY21092846.311.10.18 6
LBY20492826.11.070.09 860.80.02 8
LBY20492827.111.20.02 6
LBY20492828.11.100.0511
LBY18792809.211.00.10 462.2L10
LBY18792813.211.3L 761.50.18 9
LBY16592677.711.10.30 5
LBY16592678.11.050.17 659.10.11 5
LBY16592678.31.270.082870.60.0325
LBY13792751.512.00.031474.10.2131
LBY13792752.111.4L 8
LBY13792753.110.90.20 3
LBY12792744.110.80.24 3
LBY12792744.262.30.2711
LBY12792745.41.040.22 559.90.05 6
LBY12692834.31.120.051365.50.2316
LBY12692838.111.00.26 4
LBY11091176.11.080.28 910.90.22 4
LBY11091177.31.230.052410.80.24 372.00.2228
LBY11091179.31.090.021011.40.25 964.10.0814
LBY10792284.31.130.2814
LBY10792285.21.39L4082.6L46
CONT.0.99110.556.4
LBY9191633.21.650.1115109.8 L23
LBY9191634.312.60.03 794.60.28 6
LBY8192009.113.00.0310
LBY8192009.412.60.20 795.00.30 7
LBY8192013.212.90.0710
LBY7792062.11.610.091212.50.14 6106.4 L20
LBY5492084.81.660.251612.60.03 7109.1 0.1923
LBY5492087.312.9L 9
LBY4992039.4101.9 0.1115
LBY4992043.11.520.27 612.50.06 6101.5 0.3014
LBY3592122.197.20.26 9
LBY2991619.11.570.1110
LBY2991619.51.600.071299.80.0712
LBY2391397.21.560.10 9
LBY2391397.312.50.14 6
LBY17492079.812.50.05 6
LBY15891648.112.60.03 795.20.29 7
LBY14691594.11.540.21 897.90.1110
LBY13892076.11.520.29 613.00.1910102.9 0.2016
LBY13892076.212.60.17 6104.9 0.2418
LBY13892078.312.30.13 4
LBY11791366.31.720.2320
LBY11791367.212.70.02 7
LBY11292051.312.90.1610101.2 0.0414
LBY11292053.212.50.05 6
LBY11292053.412.40.11 5105.4 0.0119
LBY10891423.11.780.022412.40.23 5113.7 L28
LBY10891423.412.70.04 7
LBY10891423.61.560.10 999.10.0812
LBY10491269.21.830.222812.80.16 8121.0 0.0636
LBY10391381.913.10.0611
CONT.1.4311.888.9
Table 249 “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”-p-value, L-p < 0.01.
TABLE 250
Genes showing improved plant performance at
Drought growth conditions under regulation of At6669 promoter
RGR Of RGR Of RGR Of Rosette
Leaf NumberPlot CoverageDiameter
GeneEventP-%P-%P-%
Name#Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LBY8391330.24.580.20200.3320.1520
LBY6391329.30.6400.1719
LBY22491529.14.510.2518
LBY19691300.14.640.1722
LBY19691303.24.560.2120
LBY15091644.34.450.2917
LBY13391139.40.6220.2515
LBY13291277.15.080.0433
LBY12591273.34.810.1026
CONT.0.5403.820.278
LBY7992221.20.7540.191510.00.07210.5020.1011
LBY7992221.39.520.20150.4880.28 8
LBY7292765.10.8100.062411.3L36
LBY7292765.30.7320.2312
LBY7292766.29.650.1516
LBY3692526.10.875L349.680.1917
LBY3292830.110.60.03270.5120.0813
LBY3292830.30.7760.151910.30.0624
LBY3292830.40.7440.1814
LBY3292833.29.590.2016
LBY2692484.40.7520.201510.20.0523
LBY2692485.110.20.0523
LBY2692488.10.7760.0819
LBY23392477.10.7580.1616
LBY23392477.20.7420.2613
LBY23392478.39.740.1317
LBY21492760.10.7440.1714
LBY21492760.30.7500.1815
LBY21492760.40.7720.0918
LBY21092845.210.20.05220.5020.1211
LBY21092845.30.7630.1517
LBY21092846.19.520.2015
LBY20492826.10.8110.06249.850.11190.4870.26 8
LBY20492827.10.7560.171610.80.01300.5020.1011
LBY20492828.10.7900.102111.2L340.5050.1012
LBY19691301.30.7390.1913
LBY19691303.210.70.01290.4990.1210
LBY18792809.20.8140.052410.40.03250.4860.26 7
LBY18792813.20.7520.23159.530.2015
LBY13792751.29.500.21150.4980.1510
LBY12692834.310.10.0821
LBY12692837.40.7800.0719
LBY12091211.20.7300.2911
LBY12091212.10.7220.2910
LBY11392234.29.780.1118
CONT.0.6548.300.453
LBY9692428.40.3520.2412
LBY8992261.66.840.02360.3550.2213
LBY8792257.36.220.12230.3520.2612
LBY5592422.50.3540.2613
LBY3092324.30.7470.1922
LBY3092324.47.73L530.3630.1516
LBY3092326.26.050.1720
LBY22591605.30.3580.1914
LBY22591607.20.7340.2320
LBY22591607.30.3520.3012
LBY21392030.25.830.2916
LBY21392033.16.260.10240.3530.2413
LBY21392033.36.480.06290.3520.2612
LBY21292024.36.180.1323
LBY21292026.46.010.20190.3710.1318
LBY20292019.26.080.16210.3700.0918
LBY20292021.15.830.28160.3590.1914
LBY19391662.15.930.2418
LBY18292396.40.7280.2419
LBY17492079.15.950.2218
LBY17492079.85.810.3015
LBY15891647.30.3520.2612
LBY15492433.46.230.11240.3650.1416
LBY15492433.50.7350.2220
LBY13992239.25.960.2118
LBY13992241.27.030.01400.3620.1515
LBY13592321.67.65L520.3570.2214
LBY13592322.16.060.1820
LBY11392234.26.070.17200.3750.0720
CONT.0.6135.040.314
LBY9191633.16.930.2019
LBY7792062.17.500.06290.3840.1813
LBY5492086.17.480.07280.3850.1914
LBY3592120.26.920.2519
LBY2991617.17.080.2422
LBY2991619.17.140.14230.3760.2911
LBY2991619.27.250.1124
LBY2591335.27.150.14230.3840.2013
LBY23091669.37.620.05310.3860.2014
LBY2391397.37.680.04320.3860.1714
LBY22591605.37.860.03350.3840.1913
LBY22591607.58.34L430.3810.2112
LBY21392033.37.230.17240.3830.2613
LBY21292026.37.080.1922
LBY20292022.17.190.1423
LBY20292022.27.190.1223
LBY18292396.17.610.05310.4000.0718
LBY18292398.28.54L470.4050.0619
LBY13691442.16.840.2617
LBY13691442.88.240.01410.4030.0719
LBY13691442.98.030.02380.3750.2810
LBY11891434.56.830.2517
CONT.5.830.339
LBY9792038.27.490.0922
LBY8792256.17.160.2017
LBY2591335.37.010.2614
LBY23091667.17.560.0823
LBY21792362.28.95L460.4850.0221
LBY13892078.47.140.2016
LBY13592321.17.020.2814
LBY13592321.67.450.0921
LBY11891432.38.43L370.4580.0915
LBY11791366.17.090.2416
LBY11292051.17.000.2614
LBY11292051.37.780.0427
LBY10891423.17.080.2315
LBY10891423.47.830.04280.4510.1613
LBY10491269.20.8210.1329
LBY10391381.117.230.1618
LBY10391381.96.960.2913
CONT.0.6366.130.399
LBY9692428.47.83L370.441L16
LBY8992263.16.500.25130.4080.12 8
LBY7992221.27.300.01270.432L14
LBY7992223.26.400.28120.4130.08 9
LBY7292764.16.610.1515
LBY7292765.16.500.2113
LBY7292766.26.880.10200.4200.0711
LBY7292766.47.080.04240.4110.07 9
LBY3692526.17.490.01310.4130.09 9
LBY3292830.16.410.2712
LBY3292830.36.760.15180.4220.0512
LBY3292830.40.6390.2412
LBY3292833.26.800.09190.4040.17 7
LBY309232.446.790.09180.4040.17 7
LBY3092326.26.790.0919
LBY3092326.36.450.2613
LBY23392474.36.480.2413
LBY23392477.16.490.2313
LBY21492760.16.510.2114
LBY21492761.16.580.16150.4060.14 7
LBY21092845.27.270.02270.4090.13 8
LBY21092846.10.6390.2512
LBY21092846.26.790.10180.4170.0410
LBY20492827.16.770.14180.4040.29 7
LBY18792812.10.4010.20 6
LBY16592678.37.200.02260.4270.0113
LBY13792751.57.470.01300.4270.0113
LBY13792752.16.510.2214
LBY12792744.26.400.2712
LBY12692834.36.690.12170.4130.08 9
LBY12692837.36.510.2314
LBY11091177.37.270.03270.439L16
LBY11091179.36.550.1814
LBY10792285.28.35L460.463L22
CONT.0.5715.730.378
LBY9191633.212.50.2023
LBY8192009.10.5930.1832
LBY8192013.212.10.3019
LBY7792062.112.30.2421
LBY5492084.812.70.1825
LBY5492087.30.5820.2430
LBY3592119.20.5760.2228
LBY15891648.10.5750.2128
LBY11791366.312.10.2819
LBY11292051.30.5640.2726
LBY11292053.412.10.2919
LBY11292053.60.5800.2229
LBY10891423.113.00.1328
LBY10891423.40.5620.2925
LBY10491269.213.80.0636
LBY10391381.90.6190.1238
CONT.0.44910.2
Table 250. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L-p < 0.01.
TABLE 251
Genes showing improved plant performance at
Drought growth conditions under regulation of At6669 promoter
Rosette Area Rosette Diameter
Harvest Index[cm2][cm]
GeneEvent P-%P-%P-%
Name#Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LBY8391330.10.2040.10204.160.17 7
LBY8391330.25.56L224.710.0121
LBY8391330.35.260.25164.28L10
LBY6391325.10.1860.05 9
LBY6391325.20.1920.0313
LBY6391325.40.1970.1016
LBY5190981.14.890.29 84.150.03 7
LBY4890968.15.000.07104.150.12 7
LBY4890970.24.160.13 7
LBY22491527.45.110.04134.230.02 9
LBY22491529.15.34L184.150.05 7
LBY22491529.24.950.15 94.110.20 6
LBY19691300.15.590.04234.410.1213
LBY19691303.25.470.26214.360.1212
LBY19691304.35.070.04124.23L 9
LBY13491281.54.170.25 7
LBY13491282.14.880.17 74.180.02 7
LBY13291277.16.260.24384.640.1219
LBY12591273.35.73L264.480.0315
LBY10291262.14.100.16 5
LBY10291262.80.1920.0713
LBY10291264.10.2410.0741
CONT.0.1704.543.89
LBY7992221.210.30.10235.69L14
LBY7992221.39.940.0618
LBY7292765.111.60.11385.710.1714
LBY7292766.29.81L175.370.10 7
LBY7292766.49.260.03105.210.09 4
LBY3292830.111.00.13315.860.1717
LBY3292830.310.70.2927
LBY2692484.410.5L245.47L 9
LBY2692484.59.350.1711
LBY2692485.110.40.07235.400.18 8
LBY23392477.25.260.20 5
LBY23392478.39.890.13185.320.16 6
LBY21092845.210.40.12235.650.0713
LBY21092846.19.690.21155.340.26 7
LBY21092846.25.120.26 2
LBY20492826.110.10.03205.420.02 8
LBY20492827.110.9L295.59L12
LBY20492828.111.5L365.860.0217
LBY19691303.211.0L315.73L15
LBY18792809.210.6L265.54L11
LBY13792751.29.690.14155.430.09 9
LBY12692837.39.530.2313
LBY12091211.29.130.09 95.190.09 4
LBY12091214.19.210.06105.160.18 3
LBY11392234.210.1L205.45L 9
LBY10792284.25.170.12 3
CONT.8.415.00
LBY9692428.45.970.04114.44L 8
LBY8992259.25.720.28 6
LBY8992261.67.300.02364.70L15
LBY8992263.34.350.24 6
LBY8792257.16.110.2014
LBY8792257.36.690.07244.550.1211
LBY5592422.56.200.13154.490.0510
LBY3092324.25.970.08114.380.06 7
LBY3092324.48.49L585.04L23
LBY3092326.26.55L224.54L11
LBY22591605.36.000.10124.470.13 9
LBY22591607.25.900.29104.310.04 5
LBY22591607.54.350.19 6
LBY22591607.65.780.16 74.300.05 5
LBY21392030.24.400.07 7
LBY21392033.10.2800.04246.71L254.62L13
LBY21392033.37.01L304.71L15
LBY21292024.20.2590.1915
LBY21292024.36.650.27244.580.1912
LBY21292026.46.440.07204.620.2013
LBY20292019.26.430.20204.560.0811
LBY20292021.16.240.15164.450.22 8
LBY20292022.10.2560.21146.100.25144.280.24 4
LBY19391660.26.070.2113
LBY19391662.16.450.26204.480.19 9
LBY19391664.10.2650.1218
LBY18292396.15.760.16 74.280.06 4
LBY18292396.24.510.2310
LBY18292396.45.950.06114.250.14 4
LBY17492079.14.50L10
LBY17492079.84.460.13 9
LBY17492080.10.2700.1220
LBY15891647.36.150.04144.63L13
LBY15891649.15.870.09 94.420.09 8
LBY15492433.47.30L364.88L19
LBY15492433.56.230.2616
LBY14691590.44.290.28 5
LBY14691594.16.240.18164.290.29 5
LBY13992239.26.38L194.320.04 5
LBY13992241.27.62L424.870.0619
LBY13592321.60.2550.25138.340.08554.950.0621
LBY13592322.10.2650.2317
LBY13592323.15.940.06104.360.02 6
LBY11392234.16.070.23134.350.24 6
LBY11392234.20.2720.09217.00L304.70L15
LBY11392234.50.2770.06236.130.02144.400.03 7
LBY11392234.60.2850.13275.880.07 94.220.29 3
LBY11392235.24.260.09 4
CONT.0.2255.384.10
LBY9191633.10.2320.01287.250.08184.650.17 8
LBY9191633.20.2370.0431
LBY9191634.20.2200.19216.720.1810
LBY7792062.17.90L294.85L13
LBY5492086.10.2210.03227.950.17304.900.1714
LBY3592119.16.950.08144.550.06 6
LBY2991619.17.580.12244.850.1013
LBY2991619.27.760.08274.830.0212
LBY2591335.27.590.18244.940.1115
LBY23091669.20.2020.2711
LBY23091669.30.243L348.010.09314.890.1714
LBY2391397.38.100.04324.910.0614
LBY22591605.30.2160.14198.25L354.860.0413
LBY22591607.20.1990.2510
LBY22591607.30.2060.13146.720.21104.590.03 7
LBY22591607.58.77L435.03L17
LBY22591607.60.245L35
LBY21792363.14.670.08 9
LBY20292022.17.690.28264.840.2613
LBY20292022.27.510.2923
LBY19391664.56.710.18104.470.29 4
LBY18292396.10.234L297.920.02294.93L15
LBY18292398.20.2040.25128.92L465.14L20
LBY13691442.17.200.19184.680.10 9
LBY13691442.67.450.14224.860.0813
LBY13691442.80.2080.14158.630.01415.040.0317
LBY13691442.98.430.14384.900.0214
LBY11891432.30.2090.1315
LBY11891434.44.440.23 3
LBY11891434.57.340.02204.680.01 9
CONT.0.1816.124.30
LBY9792038.27.250.08234.730.16 8
LBY8792256.14.660.18 7
LBY2591335.36.890.08174.620.30 5
LBY23091665.16.290.29 64.640.13 6
LBY23091667.17.330.14244.840.0611
LBY21792362.28.62L465.30L21
LBY21792363.14.610.10 5
LBY13892078.47.050.24194.660.19 6
LBY13691442.64.560.26 4
LBY13592321.67.21L224.800.0110
LBY11891432.38.160.02385.07L16
LBY11891434.56.400.20 8
LBY11791367.14.570.21 4
LBY11292051.16.800.09154.640.17 6
LBY11292051.37.49L274.780.02 9
LBY10891422.26.450.17 9
LBY10891423.16.900.06174.770.02 9
LBY10891423.47.500.08274.820.2310
LBY10491267.44.680.05 7
LBY10391381.117.030.01194.720.04 8
LBY10391381.96.780.21154.610.17 5
CONT.5.914.38
LBY9692425.47.400.22 5
LBY9692428.49.710.08385.450.1117
LBY8992259.27.300.25 3
LBY8992263.15.090.21 9
LBY7992221.28.940.08275.23L12
LBY7292764.18.110.3015
LBY7292765.18.200.17165.050.11 8
LBY7292766.48.760.17245.140.0810
LBY3692526.19.260.26315.260.2713
LBY3692526.27.420.26 5
LBY3292830.14.880.16 5
LBY3292833.28.350.14185.020.20 8
LBY3092324.27.430.28 5
LBY3092324.48.340.19185.000.25 7
LBY3092326.28.390.10195.130.1710
LBY3092326.34.880.16 5
LBY23392477.15.050.27 8
LBY23392477.37.650.11 84.870.04 5
LBY23392478.37.390.25 5
LBY21492760.14.910.14 5
LBY21492761.17.960.26135.060.21 9
LBY21092845.28.930.30275.180.3011
LBY21092846.28.310.27184.96L 7
LBY20492826.17.600.02 8
LBY20492828.14.880.04 5
LBY18792809.27.78L10
LBY18792812.14.820.09 4
LBY18792813.27.680.18 94.790.15 3
LBY16592678.17.390.11 5
LBY16592678.38.820.03255.130.1410
LBY13792751.59.260.21315.330.0315
LBY12792744.27.790.2711
LBY12792745.47.490.05 6
LBY12692834.38.190.2316
LBY11091177.39.000.22285.280.2014
LBY11091179.38.020.08144.840.29 4
LBY10792285.210.3L465.70L22
CONT.7.054.65
LBY9191633.10.2300.0320
LBY9191633.213.7L236.200.05 9
LBY9191634.311.80.28 6
LBY8192009.411.90.30 7
LBY7792062.113.3L20
LBY5492084.813.60.1923
LBY4992039.412.70.1115
LBY4992043.112.70.3014
LBY3592119.20.2080.26 8
LBY3592122.112.10.26 9
LBY2991619.10.2210.1515
LBY2991619.512.50.0712
LBY17492079.10.2230.1416
LBY15891648.111.90.29 7
LBY14691590.40.2260.0417
LBY14691594.112.20.11105.930.25 4
LBY13892076.112.90.2016
LBY13892076.213.10.2418
LBY11791366.36.070.10 7
LBY11292051.312.70.0414
LBY11292053.413.20.01196.070.24 7
LBY10891423.10.2260.081814.2L286.39L12
LBY10891423.612.40.08125.940.22 4
LBY10891424.10.2190.1914
LBY10491269.10.2320.2321
LBY10491269.20.2170.201315.10.06366.540.2315
CONT.0.19211.15.68
Table 251. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L-p < 0.01.
TABLE 252
Genes showing improved plant performance at Drought
growth conditions under regulation of At6669 promoter
GeneSeed Yield [mg]1000 Seed Weight [mg]
NameEvent #Ave.P-Val.% Incr.Ave.P-Val.% Incr.
LBY8391330.1203.50.2713
LBY8391332.2211.80.2718
LBY6391325.1198.60.0210
LBY6391325.4212.80.2918
LBY6391329.3198.40.0410
LBY5190981.321.40.216
LBY4890967.321.10.124
LBY22491529.121.20.204
LBY2290961.224.50.0221
LBY15091644.321.50.116
LBY13491281.520.80.252
LBY13491282.124.10.1219
LBY13391139.121.10.054
LBY10291264.1264.20.2447
CONT.180.020.3
LBY9692428.420.20.0213
LBY8992259.218.90.286
LBY8792257.118.20.262
LBY5592422.519.40.289
LBY5592423.219.0L7
LBY3092324.419.80.2811
LBY3092326.221.80.0322
LBY22591607.3235.50.1614
LBY22591607.620.00.0313
LBY21392030.218.70.055
LBY21392033.1232.10.1613
LBY21392033.3228.50.291118.80.035
LBY21292024.3234.20.2614
LBY20292022.1242.80.0718
LBY20292022.318.20.302
LBY19391660.221.60.0321
LBY19391664.1242.70.061818.40.123
LBY18292396.218.80.036
LBY17492079.1235.50.1314
LBY17492079.718.80.115
LBY17492080.1249.20.0421
LBY15492433.519.2L8
LBY14691590.1227.60.2611
LBY14691590.2233.00.2813
LBY14691593.319.40.029
LBY13592322.1239.50.081619.40.019
LBY13592323.318.40.224
LBY11392234.2225.50.281018.80.036
LBY11392234.5247.10.042019.00.017
LBY11392234.6247.50.0920
CONT.205.717.8
LBY9191630.121.1L8
LBY9191633.1244.10.263421.4L10
LBY9191633.2240.40.1732
LBY9191634.2228.40.2325
LBY5492084.4241.90.293320.50.085
LBY5492086.1239.90.0732
LBY4992043.2198.40.289
LBY3592122.122.3L14
LBY2991617.121.3L9
LBY2991619.120.70.016
LBY2991619.220.70.026
LBY2591335.221.30.069
LBY23091669.3250.4L3720.20.104
LBY22591605.3223.70.2123
LBY22591607.220.30.294
LBY22591607.3210.10.1615
LBY22591607.6247.0L3521.80.0812
LBY21792359.120.00.242
LBY21792362.220.00.242
LBY21792363.122.0L13
LBY21292026.320.50.045
LBY20292022.224.20.2224
LBY19391660.224.0L23
LBY18292396.1242.8L33
LBY18292396.420.10.213
LBY18292398.2220.80.2121
LBY13691442.8228.50.0225
LBY11891432.3214.40.0618
LBY11891433.1210.40.1415
LBY11891434.520.40.155
CONT.182.519.5
LBY9191630.123.2L21
LBY9191633.1219.20.1916
LBY8192009.121.00.2610
LBY8192013.221.0L10
LBY7792061.1209.50.2810
LBY5492086.119.60.293
LBY4992039.421.30.0411
LBY2991619.1219.80.0716
LBY17492079.1212.40.1512
LBY17492079.719.80.184
LBY14691593.321.40.1212
LBY13892076.121.10.1310
LBY11791366.325.0L31
LBY10891423.1219.90.1416
LBY10891423.420.30.096
LBY10891424.1217.30.0514
LBY10491269.2222.40.0217
CONT.189.819.1
Table 252. CONT-Control; Ave.- Average; % Incr. = % increment; p-val.- p-value, L-p < 0.01.
TABLE 253
Genes showing improved plant
performance at Drought growth conditions
under regulation of At6669 promoter
1000 Seed Weight [mg]
Gene NameEvent #Ave.P-Val.% Incr.
LBY5190981.321.40.216
LBY4890967.321.10.124
LBY22491529.121.20.204
LBY2290961.224.50.0221
LBY15091644.321.50.116
LBY13491281.520.80.252
LBY13491282.124.10.1219
LBY13391139.121.10.054
CONT.20.3
LBY9692428.420.20.0213
LBY8992259.218.90.286
LBY8792257.118.20.262
LBY5592422.519.40.289
LBY5592423.219.0L7
LBY3092324.419.80.2811
LBY3092326.221.80.0322
LBY22591607.620.00.0313
LBY21392030.218.70.055
LBY21392033.318.80.035
LBY20292022.318.20.302
LBY19391660.221.60.0321
LBY19391664.118.40.123
LBY18292396.218.80.036
LBY17492079.718.80.115
LBY15492433.519.2L8
LBY14691593.319.40.029
LBY13592322.119.40.019
LBY13592323.318.40.224
LBY11392234.218.80.036
LBY11392234.519.00.017
CONT.17.8
LBY9191630.121.1L8
LBY9191633.121.4L10
LBY5492084.420.50.085
LBY3592122.122.3L14
LBY2991617.121.3L9
LBY2991619.120.70.016
LBY2991619.220.70.026
LBY2591335.221.30.069
LBY23091669.320.20.104
LBY22591607.220.30.294
LBY22591607.621.80.0812
LBY21792359.120.00.242
LBY21792362.220.00.242
LBY21792363.122.0L13
LBY21292026.320.50.045
LBY20292022.224.20.2224
LBY19391660.224.0L23
LBY18292396.420.10.213
LBY11891434.520.40.155
CONT.19.5
LBY9191630.123.2L21
LBY8192009.121.00.2610
LBY8192013.221.0L10
LBY5492086.119.60.293
LBY4992039.421.30.0411
LBY17492079.719.80.184
LBY14691593.321.40.1212
LBY13892076.121.10.1310
LBY11791366.325.0L31
LBY10891423.420.30.096
CONT.19.1
Table 253. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L—p < 0.01.
TABLE 254
Genes showing improved plant performance at Drought
growth conditions under regulation of 6669 promoter
Harvest Index
Gene NameEvent #Ave.P-Val.% Incr.
LBY8391330.10.2040.1020
LBY6391325.10.1860.059
LBY6391325.20.1920.0313
LBY6391325.40.1970.1016
LBY10291262.80.1920.0713
LBY10291264.10.2410.0741
CONT.0.170
LBY21392033.10.2800.0424
LBY21292024.20.2590.1915
LBY20292022.10.2560.2114
LBY19391664.10.2650.1218
LBY17492080.10.2700.1220
LBY13592321.60.2550.2513
LBY13592322.10.2650.2317
LBY11392234.20.2720.0921
LBY11392234.50.2770.0623
LBY11392234.60.2850.1327
CONT.0.225
LBY9191633.10.2320.0128
LBY9191633.20.2370.0431
LBY9191634.20.2200.1921
LBY5492086.10.2210.0322
LBY23091669.20.2020.2711
LBY23091669.30.243L34
LBY22591605.30.2160.1419
LBY22591607.20.1990.2510
LBY22591607.30.2060.1314
LBY22591607.60.245L35
LBY18292396.10.234L29
LBY18292398.20.2040.2512
LBY13691442.80.2080.1415
LBY11891432.30.2090.1315
CONT.0.181
LBY9191633.10.2300.0320
LBY3592119.20.2080.268
LBY2991619.10.2210.1515
LBY17492079.10.2230.1416
LBY14691590.40.2260.0417
LBY10891423.10.2260.0818
LBY10891424.10.2190.1914
LBY10491269.10.2320.2321
LBY10491269.20.2170.2013
CONT.0.192
Table 254. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L—p < 0.01.

Assay 2: Plant Performance Improvement Measured Until Bolting Stage: Plant Biomass and Plant Growth Rate in Greenhouse Conditions (GH-SB Assays)

Under normal (standard conditions)—This assay follows the plant biomass formation and the rosette area growth of plants grown in the greenhouse under normal growth conditions. Transgenic Arabidopsis seeds were sown in agar media supplemented with ½ MS medium and a selection agent (Kanamycin). The T2 transgenic seedlings were then transplanted to 1.7 trays filled with peat and perlite in a 1:2 ratio. Plants were grown under normal conditions which included irrigation of the trays with a solution containing of 6 mM inorganic nitrogen in the form of KNO3 with 1 mM KH2PO4, 1 mM MgSO4, 1.5 mM CaCl2 and microelements. Under normal conditions the plants grow in a controlled environment in a closed transgenic greenhouse; temperature was 18-22° C., humidity around 70%; Irrigation was done by flooding with a water solution containing 6 mM N (nitrogen) (as described hereinabove), and flooding was repeated whenever water loss reached 50%. All plants were grown in the greenhouse until bolting stage. Plant biomass (the above ground tissue) was weighted directly after harvesting the rosette (plant fresh weight [FW]). Following plants were dried in an oven at 50° C. for 48 hours and weighted (plant dry weight [DW]).

Under drought and standard growth conditions—This assay follows the plant biomass formation and the rosette area growth of plants grown in the greenhouse under drought conditions and standard growth conditions. Transgenic Arabidopsis seeds were sown in phytogel media supplemented with ½ MS medium and a selection agent (Kanamycin). The T2 transgenic seedlings are then transplanted to 1.7 trays filled with peat and perlite in a 1:2 ratio and tuff at the bottom of the tray and a net below the trays (in order to facilitate water drainage). Half of the plants were irrigated with tap water (standard growth conditions) when tray weight reached 50% of its field capacity. The other half of the plants were irrigated with tap water when tray weight reached 20% of its field capacity in order to induce drought stress (drought conditions). All plants were grown in the greenhouse until bolting stage. At harvest, plant biomass (the above ground tissue) was weighted directly after harvesting the rosette (plant fresh weight [FW]). Thereafter, plants were dried in an oven at 50° C. for 48 hours and weighted (plant dry weight [DW]).

Under limited and optimal nitrogen concentration—This assay follows the plant biomass formation and the rosette area growth of plants grown in the greenhouse at limiting and non-limiting nitrogen growth conditions. Transgenic Arabidopsis seeds were sown in agar media supplemented with ½ MS medium and a selection agent (Kanamycin). The T2 transgenic seedlings were then transplanted to 1.7 trays filled with peat and perlite in a 1:1 ratio. The trays were irrigated with a solution containing nitrogen limiting conditions, which were achieved by irrigating the plants with a solution containing 2.8 mM inorganic nitrogen in the form of KNO3, supplemented with 1 mM KH2PO4, 1 mM MgSO4, 1.5 mM CaCl2 and microelements, while normal nitrogen levels were achieved by applying a solution of 5.5 mM inorganic nitrogen also in the form of KNO3 with 1 mM KH2PO4, 1 mM MgSO4, 1.5 mM CaCl2 and microelements. All plants were grown in the greenhouse until mature seeds. Plant biomass (the above ground tissue) was weight in directly after harvesting the rosette (plant fresh weight [FW]). Following plants were dried in an oven at 50° C. for 48 hours and weighted (plant dry weight [DW]). Each construct was validated at its T2 generation. Transgenic plants transformed with a construct conformed by an empty vector carrying a promoter and the selectable marker were used as control [The promoters which were used are described in Example 25 above, e.g., the At6669 promoter (SEQ ID NO: 10654) or the 35S promoter (SEQ ID NO: 10650].

Additionally or alternatively, Mock-transgenic plants expressing the uidA reporter gene (GUS-Intron) or with no gene at all, under the same promoter were used as control. The plants were analyzed for their overall size, growth rate, fresh weight and dry matter. Transgenic plants performance was compared to control plants grown in parallel under the same conditions. The experiment was planned in nested randomized plot distribution. For each gene of the invention three to five independent transformation events were analyzed from each construct.

Digital imaging—A laboratory image acquisition system, which consists of a digital reflex camera (Canon EOS 300D) attached with a 55 mm focal length lens (Canon EF-S series), mounted on a reproduction device (Kaiser RS), which includes 4 light units (4×150 Watts light bulb) was used for capturing images of plant samples.

The image capturing process was repeated every 2 days starting from day 1 after transplanting till day 15. Same camera, placed in a custom made iron mount, was used for capturing images of larger plants sawn in white tubs in an environmental controlled greenhouse. The tubs were square shape include 1.7 liter trays. During the capture process, the tubes were placed beneath the iron mount, while avoiding direct sun light and casting of shadows.

An image analysis system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.39 [Java based image processing program which was developed at the U.S. National Institutes of Health and freely available on the internet at rsbweb (dot) nih (dot) gov/]. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Leaf analysis—Using the digital analysis leaves data was calculated, including leaf number, rosette area, rosette diameter, and leaf blade area.

Vegetative growth rate: the relative growth rate (RGR) of leaf number (Formula VIII, described above), rosette area (Formula IX described above) and plot coverage (Formula XI, described above) were calculated using the indicated formulas.

Plant Fresh and Dry weight—On about day 80 from sowing, the plants were harvested and directly weight for the determination of the plant fresh weight (FW) and left to dry at 50° C. in a drying chamber for about 48 hours before weighting to determine plant dry weight (DW).

Statistical analyses—To identify outperforming genes and constructs, results from the independent transformation events tested were analyzed separately. Data was analyzed using Student's t-test and results were considered significant if the p value was less than 0.1. The JMP statistics software package was used (Version 5.2.1, SAS Institute Inc., Cary, N.C., USA).

Tables 255-263 summarize the observed phenotypes of transgenic plants expressing the genes constructs using the GH-SB Assays.

The genes listed in Tables 255-257 improved plant performance when grown at drought conditions. These genes produced larger plants with a larger photosynthetic area, biomass (fresh weight, dry weight, rosette diameter, rosette area and plot coverage), relative growth rate, blade relative area and petiole relative area. The genes were cloned under the regulation of a constitutive At6669 promoter (SEQ ID NO: 10654). The evaluation of each gene was performed by testing the performance of different number of events. Event with p-value <0.1 was considered statistically significant.

TABLE 255
Genes showing improved plant performance at Drought
growth conditions under regulation of At6669 promoter
Dry Weight [mg]Fresh Weight [mg]Leaf Number
GeneEventP-%P-%P-%
Name#Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LBY9891152.312.20.018
LBY9891152.8300.60.296
LBY9492333.711.80.184
LBY8492212.212.20.048
LBY8492212.311.80.114
LBY7592094.23943.80.0410
LBY7392388.112.40.0210
LBY6992169.2301.90.26712.00.276
LBY6992171.13806.20.066
LBY6291400.53750.00.13512.10.187
LBY6291401.312.4L9
LBY5891376.612.10.107
LBY5891378.212.40.149
LBY2892281.111.90.095
LBY2892281.34031.2L13
LBY2892283.211.90.055
LBY21892159.312.80.0213
LBY19792399.112.10.067
LBY19592191.43943.8L1012.40.239
LBY19592193.112.10.027
LBY19592193.23787.50.15612.80.1113
LBY19592193.3305.00.228
LBY19091510.212.40.0210
LBY19091513.2328.80.02164087.50.201412.50.0410
LBY18492145.212.6L11
LBY18492147.33925.00.241012.5L10
LBY18492148.413.00.1915
LBY16391481.212.20.018
LBY16391481.312.00.276
LBY16391484.3324.40.061512.10.067
LBY16092302.711.80.184
LBY10591385.13825.00.13712.10.037
LBY10591385.211.90.245
LBY10591386.63818.80.22712.30.109
CONT.282.33575.011.3
LBY9492332.1167.70.2521
LBY9492333.21950.00.252410.10.265
LBY8492210.3159.40.2415
LBY8492212.3162.50.14171812.50.1715
LBY8492213.3163.80.22181856.20.1118
LBY7592094.1162.50.14171956.20.062410.20.276
LBY7592094.2166.20.1020
LBY7592096.1184.40.14332093.80.023310.80.1413
LBY7392386.2165.60.11201743.80.3011
LBY7392387.32125.00.103510.80.0213
LBY7392388.1218.10.11582187.50.023911.20.0316
LBY6992169.32181.20.013911.20.0117
LBY6692089.3180.60.03311943.80.052410.50.039
LBY6692091.1171.90.10242168.80.0538
LBY6692093.310.20.097
LBY6291400.510.00.294
LBY6291401.31837.50.171710.20.187
LBY5891376.5180.00.09302318.8L4710.60.1110
LBY5891376.610.50.049
LBY5891378.2166.90.15212112.50.013410.40.069
LBY4592194.610.10.265
LBY4592197.31750.00.2811
LBY3791217.110.40.159
LBY3791218.22337.50.054911.6L20
LBY2892281.3181.20.02312187.50.043910.60.0211
LBY21192411.11788.40.2314
LBY21192412.1186.90.02352050.00.023010.60.1110
LBY20692350.3160.60.20161918.80.152210.40.259
LBY20692350.41843.80.1517
LBY20692351.1174.40.12261975.00.032610.80.1413
LBY20692353.21950.00.2524
LBY19992307.1189.40.01372200.00.164010.80.0613
LBY19992308.12156.20.043710.80.0412
LBY17692509.2190.70.01382185.7L3910.20.187
LBY17692511.2165.00.14191806.20.171510.20.126
LBY17692512.1174.40.05262043.80.053010.10.185
LBY16492669.410.20.107
LBY15192651.21825.00.171610.8L13
LBY15192651.31837.50.1417
LBY14391470.4177.50.09282031.20.202910.20.276
LBY14391470.710.50.049
LBY14391470.81956.20.072410.9L13
LBY14391473.21825.00.2116
CONT.138.31572.49.61
LBY9991635.310.60.018
LBY9991635.42756.20.1126
LBY9991635.5220.50.18292730.40.082510.40.026
LBY9991636.1195.60.05142926.80.0134
LBY9991636.410.20.084
LBY6692093.1191.90.161210.20.084
LBY6692093.3218.8L283006.2L37
LBY21892159.1200.00.2617
LBY21892159.3196.90.18152881.20.0232
LBY21892160.3196.90.0715
LBY21892162.3197.50.151510.40.096
LBY21192409.1191.20.0512
LBY21192412.1195.60.0514
LBY20592164.12593.80.2118
LBY19992306.2186.20.149
LBY19792399.1199.40.1216
LBY19592191.4205.60.0520
LBY19592192.2193.10.0213
LBY19592193.2196.20.281510.40.066
LBY19592193.32818.80.0229
LBY19091510.2181.20.246
LBY19091513.2198.80.101610.30.065
LBY18492147.3209.4L2210.80.089
LBY18492148.32455.40.2512
LBY17692509.210.30.155
LBY17692510.1200.0L1710.60.108
LBY17692512.1187.50.2110
LBY16492669.4191.90.0312
LBY16492670.2197.50.1515
LBY16391482.210.50.147
LBY16391484.3198.80.2816
LBY16391484.6220.0L292981.2L36
LBY16092302.62581.20.1218
LBY16092302.7200.00.2917
LBY15192649.1208.1L222606.20.2619
LBY14391470.4187.50.07102556.20.1417
LBY14391472.1213.1L24
LBY10591386.6190.00.04112737.50.0425
LBY10591388.1188.10.2210
LBY10091410.3211.20.292310.50.037
LBY10091410.42437.50.2811
LBY10091410.6183.10.167
CONT.171.22190.09.82
LBY4791626.112.10.284
LBY1891298.312.20.295
LBY1691595.2210.60.2510
LBY1691595.312.20.125
CONT.191.111.6
Table 255. CONT-Control; Ave.-Average; % Incr. = % increment; p-val.-p-value, L-p < 0.01.
TABLE 256
Genes showing improved plant performance at Drought
growth conditions under regulation of At6669 promoter
Plot Coverage [cm2]Rosette Area [cm2]Rosette Diameter [cm]
GeneEventP-%P-%P-%
Name#Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LBY6291400.55.200.228
LBY6291401.372.70.14119.090.1411
LBY5891378.276.20.04169.520.04164.970.273
LBY2892281.171.40.2498.920.249
LBY19592193.181.80.212510.20.21255.260.259
LBY19592193.279.10.07219.890.07215.190.238
LBY19091510.275.00.08159.370.08155.060.085
LBY19091513.288.30.103511.00.10355.410.2212
LBY18492145.283.30.012710.40.01275.25L9
LBY18492147.387.00.213310.90.2133
LBY18492148.479.40.15219.920.15215.160.267
LBY16391481.270.60.2788.830.278
LBY16391481.380.80.022310.10.02235.290.0410
LBY16391482.373.60.10129.190.10125.140.277
LBY16391484.392.30.034111.50.03415.77L20
LBY10591385.180.90.022410.10.02245.210.028
CONT.65.58.184.81
LBY9492333.262.30.10347.790.10344.920.0515
LBY8492213.356.60.09227.070.09224.570.257
LBY7592094.156.70.20227.090.20224.710.1610
LBY7592094.253.90.20166.740.20164.600.208
LBY7592096.166.5L438.31L435.080.0119
LBY7392387.362.30.14347.790.14344.860.1914
LBY7392388.166.60.04448.320.04445.090.0419
LBY6992169.372.7L579.08L575.19L21
LBY6692089.357.20.09237.150.09234.750.0811
LBY6692091.166.10.06438.270.06435.150.0420
LBY6692093.14.570.287
LBY6692093.360.10.09307.510.09305.000.1617
LBY6291400.356.60.08227.080.08224.660.149
LBY6291401.361.90.03337.730.03334.870.0714
LBY5891376.570.4L528.80L525.33L25
LBY5891376.653.30.28156.660.28154.570.277
LBY5891378.265.80.01428.230.01425.050.0318
LBY4592194.656.40.11227.050.11224.840.1313
LBY4592197.363.70.01377.960.01374.980.0216
LBY3791217.152.30.28136.540.2813
LBY3791218.273.8L599.22L595.20L22
LBY2892281.366.50.14438.310.14435.140.2620
LBY21192412.166.8L448.35L445.000.0217
LBY20692350.361.90.09337.740.09334.900.0615
LBY20692350.453.30.27156.660.27154.720.1310
LBY20692351.165.1L408.14L405.020.0217
LBY20692353.24.790.2612
LBY19992307.171.00.15538.870.15535.290.1624
LBY17692509.152.60.27146.580.27144.540.296
LBY17692509.261.90.02347.740.02344.900.0315
LBY17692511.252.40.27136.540.27134.610.198
LBY17692512.160.40.06307.550.06304.820.0513
LBY15192651.260.90.06317.610.06314.740.2211
LBY15192651.354.90.24186.860.24184.680.2110
LBY14391470.469.60.03508.700.03505.120.0420
LBY14391470.760.10.05307.510.05304.800.0612
LBY14391470.868.50.01488.570.01485.020.0318
LBY14391473.24.590.237
CONT.46.45.794.27
LBY9991635.346.40.19165.800.1916
LBY9991635.449.00.08236.120.08234.310.257
LBY9991635.556.50.08427.070.08424.870.0721
LBY6692093.147.3L195.91L194.45L10
LBY6692093.356.4L427.05L424.720.0117
LBY6692093.542.60.1575.320.1574.290.097
LBY21892159.148.60.03226.070.03224.47L11
LBY21892159.34.570.2613
LBY21892162.354.30.05366.780.05364.760.1118
LBY21192409.142.70.1375.330.1374.190.194
LBY21192412.146.20.12165.770.12164.380.069
LBY20592164.346.70.07175.830.07174.310.167
LBY19992306.249.50.05246.190.05244.500.1012
LBY19992308.14.230.095
LBY19792399.147.50.02195.940.02194.49L11
LBY19592191.447.50.10195.940.10194.410.1010
LBY19592193.253.4L346.68L344.65L15
LBY19592193.353.20.08336.650.08334.600.0814
LBY19091510.24.150.253
LBY19091513.259.9L507.49L504.87L21
LBY19091513.350.20.05266.270.05264.430.1110
LBY18492147.357.90.03457.240.03454.78L19
LBY18492148.147.20.04185.900.04184.380.079
LBY17692509.250.50.19276.310.1927
LBY17692510.153.70.06356.710.06354.63L15
LBY17692512 .14.280.276
LBY16492669.143.00.3085.380.308
LBY16391481.343.70.07105.460.0710
LBY16391482.252.3L316.54L314.51L12
LBY16391482.347.5L195.93L194.370.048
LBY16391484.654.4L376.81L374.80L19
LBY16092302.755.50.05396.940.05394.660.0716
LBY15192649.158.60.05477.320.05474.930.0722
LBY14391470 .450.20.22266.280.22264.500.2712
LBY14391472.148.6L226.08L224.510.0912
LBY10591386.642.90.1185.360.1184.160.213
LBY10591388.150.30.03266.290.03264.450.0510
LBY10091410.644.60.03125.580.03124.170.233
CONT.39.84.984.03
LBY9091193.199.30.142312.40.14236.480.0817
LBY4791627.186.30.18710.80.187
LBY4791628.189.70.141111.20.14115.840.215
LBY4592196.385.60.15610.70.1565.770.294
LBY4592197.397.90.042112.20.04216.26L13
LBY22291604.384.40.14510.50.1455.680.022
LBY22091306.484.90.27510.60.275
LBY19491147.188.40.241011.10.2410
LBY1891297.16.180.1811
LBY1891298.384.30.24410.50.2445.76L4
LBY16291809.45.800.034
LBY1691599.188.20.01911.00.019
LBY10091410.395.1L1811.9L186.110.0910
LBY10091410.690.00.231111.20.2311
CONT.80.710.15.56
Table 256. CONT.-Control; Ave.-Average; % Incr. = % increment; p-val.-p-value, L-p < 0.01.
TABLE 257
Genes showing improved plant performance at Drought growth
conditions under regulation of At6669 promoter
RGR Of RGR Of Plot RGR Of Rosette
Leaf NumberCoverageDiameter
GeneEventP-%P-%P-%
Name#Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LBY9891152.30.6990.1827
LBY9492333.70.6650.2921
LBY8492212.30.6710.2822
LBY7592097.40.6720.2522
LBY7392388.10.6660.2821
LBY6992171.40.6660.2821
LBY6992172.20.6950.1826
LBY6291400.30.6710.2822
LBY6291401.30.6720.2622
LBY5891376.60.7000.1527
LBY5891377.10.6690.2721
LBY5891378.20.6700.2821
LBY21892159.30.7200.1431
LBY19792399.30.6720.2622
LBY19792403.40.6670.2621
LBY19592191.40.7060.1728
LBY19592193.19.700.1627
LBY19592193.20.7780.03419.270.2321
LBY19592193.30.6970.1726
LBY19091513.210.40.0636
LBY18492145.20.7480.06369.800.1228
LBY1849214.3710.20.0833
LBY18492148.10.6870.2125
LBY18492148.49.160.2620
LBY16391481.39.360.2022
LBY16391484.310.80.03410.4440.1419
LBY16391484.60.7130.1329
LBY16092302.60.6930.1926
LBY16092302.70.6980.1827
LBY10591385.19.290.2222
LBY10591386.60.7180.1130
CONT.0.5527.640.374
LBY9492333.27.910.1335
LBY7592096.10.7090.10448.510.06450.4620.2621
LBY7392387.37.860.1434
LBY7392388.10.7340.07498.450.0645
LBY6992169.30.7260.07489.310.0259
LBY6692089.30.6700.16367.260.2924
LBY6692091.10.6490.24328.470.06450.4630.2621
LBY6692093.37.540.2129
LBY6291401.37.780.1633
LBY5891376 .59.060.02550.4900.1328
LBY5891378.20.6600.20348.420.0644
LBY4592197.38.050.1138
LBY3791217.10.6240.3027
LBY3791218.20.7440.05519.450.01620.4660.2421
LBY2892281.38.460.0745
LBY21192412.10.6740.16378.470.0645
LBY20692350.30.6500.22327.790.1533
LBY20692351.10.6740.16378.320.0842
LBY19992307.10.6250.29279.100.03560.4760.2124
LBY19992308.17.480.2528
LBY17692509.27.820.1534
LBY17692512.17.610.1930
LBY15192651.20.6250.29277.620.1930
LBY14391470.48.870.0352
LBY14391470.77.560.2029
LBY14391470.80.6560.20348.650.0548
CONT.0.4915.850.383
LBY9991635.46.280.2022
LBY9991635.57.360.02430.4700.0720
LBY6692093.16.190.24200.4410.2013
LBY6692093.30.7870.06277.280.02410.4490.1615
LBY21892159.16.330.1923
LBY21892159.36.590.13280.4420.2413
LBY21892162.37.030.04360.4610.1018
LBY19992306.26.440.1525
LBY19792399.16.150.2619
LBY19592191.46.150.2719
LBY19592192.26.430.1824
LBY19592193.16.190.2920
LBY19592193.26.920.05340.4480.1814
LBY19592193.36.850.0733
LBY19091513.27.79L510.4670.0719
LBY19091513.36.500.1426
LBY18492147.37.490.02450.4480.1714
LBY17692509.26.520.15260.4380.2712
LBY17692510.16.920.06340.4400.2312
LBY16492670.26.290.2322
LBY16391482.26.800.0732
LBY16391482.36.170.2520
LBY16391484.67.080.04370.4690.0620
LBY16092302.77.240.03400.4460.1814
LBY15192649.17.530.01460.4670.0819
LBY14391470.46.460.15250.4410.2413
LBY14391472.16.240.2221
LBY10591388.16.500.1426
LBY10091410.36.970.0635
CONT.0.6185.160.392
LBY9091193.111.80.07230.5360.0316
LBY9091193.40.4790.284
LBY4791626.10.4810.114
LBY4791627.110.20.1460.4800.204
LBY491627.30.6450.1515
LBY4791628.110.70.1011
LBY4592194.40.5060.309
LBY4592196.310.20.216
LBY4592197.311.60.02210.5140.1111
LBY22191417 .20.6860.0522
LBY22091305.30.6410.1914
LBY19491145.10.6520.2616
LBY19491147.110.60.20110.4980.288
LBY1891297.10.4920.146
LBY1891298 .39.990.264
LBY16291809.40.4750.223
LBY1691599.110.40.029
LBY12991585.10.6310.2212
LBY12991589.10.4770.113
LBY10091410.311.30.18180.4990.288
LBY10091410.610.70.13110.4730.272
CONT.0.5629.580.462
Table 257. CONT.-Control; Ave.-Average; % Incr. = % increment; p-val.- p-value, L-p < 0.01.

The genes listed in Tables 258-260 improved plant performance when grown at normal conditions. These genes produced larger plants with a larger photosynthetic area, biomass (fresh weight, dry weight, rosette diameter, rosette area and plot coverage), relative growth rate, blade relative area and petiole relative area. The genes were cloned under the regulation of a constitutive At6669 promoter (SEQ ID NO: 10654). The evaluation of each gene was performed by testing the performance of different number of events. Event with p-value <0.1 was considered statistically significant.

TABLE 258
Genes showing improved plant performance at Normal
growth conditions under regulation of At6669 promoter
Dry Weight [mg]Fresh Weight [mg]Leaf Number
Gene EventP-%P-%P-%
Name#Ave.Val.Incr.Ave.Val.Incr.AveVal.Incr.
LGN4389053.211.60.179
CONT.10.6
LGN4489055.73258.30.218
LGN4489056.13220.80.207
LGN4489057.33129.20.274
CONT.3008.3
LGN4090346.211.50.303
CONT.11.2
LGN2089089.34583.30.267
CONT.4270.8
LGN1789028.4361.70.1375450.00.098
CONT.338.15046.9
LGN4489055.2381.70.224
CONT.366.2
LGN1789027.112.30.0510
LGN1789027.2384.60.2874798.20.088
LGN1789028.4383.80.1774879.20.051012.50.0212
CONT.358.14431.211.2
LBY9091192.311.70.234
LBY9091193.4277.50.14242812.50.0316
LBY891185.1257.60.1815
LBY5991322.3261.90.13172850.00.0117
LBY5790974.111.90.036
LBY4791627.111.90.065
LBY4791628.111.90.036
LBY4592197.32862.50.0818
LBY4091310.12718.80.121211.70.144
LBY4091310.211.60.283
LBY22891610.212.20.038
LBY22891610.42712.50.221211.90.065
LBY19491149.211.60.283
LBY1891297.2248.80.2511
LBY1691599.3251.20.27122793.80.0615
LBY12891439.611.90.086
LBY10091410.211.80.145
LBY10091410.32887.50.0719
LBY10091410.411.70.144
CONT.224.52430.411.3
LGN6189107.25204.20.28312.70.153
LGN6189107.3351.70.0995341.70.246
CONT.322.55037.512.4
LGN2089089.3348.90.107
LGN2089091.4347.50.256
CONT.327.1
LBY9891152.57268.80.27512.20.023
LBY7592094.112.10.162
LBY21892159.112.20.263
LBY21892159.3521.90.2287593.80.019
LBY20592167.4511.90.07612.20.263
LBY19592192.2499.40.273
LBY19091513.212.50.036
LBY16391481.27575.00.17912.8L8
LBY16391481.3524.40.0287156.20.293
LBY16391484.3506.90.1357487.50.038
LBY16092302.7508.10.275
LBY10591385.2511.20.086
CONT.483.96955.411.8
LGN4090346.2395.00.03115885.10.049
LGN4090347.1385.00.068
CONT. 356.75383.3
LBY9492332.12848.20.1612
LBY9492333.22881.20.1213
LBY8492212.310.20.244
LBY8492213.33000.00.101810.80.019
LBY7592096.13131.20.092310.90.0110
LBY7392387.32912.50.221511.50.0116
LBY7392388.1228.80.25142787.50.2610
LBY699216.39273.80.02363137.50.052311.50.3016
LBY6692089.310.50.176
LBY6692091.1229.40.28142943.80.201611.2L13
LBY6692093.110.20.293
LBY6692093.3239.40.14192975.00.261710.80.129
LBY6291401.310.20.293
LBY5891376.5256.20.05273125.00.122310.40.135
LBY5891378.23187.50.032510.50.176
LBY4592196.3229.40.271410.30.154
LBY4592197.311.40.0416
LBY3791217.1240.60.20202762.50.279
LBY3791218.2231.40.2615
LBY21192412.1248.10.07233406.20.083411.00.0411
LBY20692350.33093.80.032210.40.146
LBY19992305.210.20.293
LBY19992307.13018.80.041910.60.247
LBY19992308.1231.20.22153212.5L26
LBY17692509.111.00.1311
LBY17692509.2246.90.08233362.50.023212.1L23
LBY16492670.4251.90.1625
LBY15192649.22787.50.221010.40.105
LBY15192651.210.40.286
LBY15192651.3233.10.2316
LBY14391470.4250.00.23243281.2L2910.40.146
LBY14391470.7258.80.14293018.80.041910.9L11
LBY14391470.8230.60.23153108.00.0222
CONT.201.32540.69.89
LBY9991635.3261.2L1410.80.3010
LBY9991635.4287.5L2611.40.0617
LBY9991635.510.80.0810
LBY9991636.1247.50.1383162.50.1110
LBY9991636.4256.2L1211.00.1412
LBY6692089.23056.20.306
LBY6692093.3279.4L223431.20.0219
LBY21892159.110.40.237
LBY21892159.3241.20.095
LBY21892160.3264.20.201610.40.017
LBY21892162.33168.80.101010.10.113
LBY21192412.110.10.193
LBY20592164.110.90.0611
LBY20592164.3258.10.2713
LBY20592166.23218.80.1411
LBY19992308.1248.8L910.6L8
LBY19792400.4270.0L18
LBY19792403.4242.50.28610.40.046
LBY19592193.1239.40.045
LBY19592193.2262.8L15 3450.00.211910.30.135
LBY19592193.3251.2L103537.5L2210.9L11
LBY19091513.23318.80.2615
LBY19091513.3275.7L213157.10.15910.30.305
LBY17692509.2251.2L10
LBY17692512.13306.20.1614
LBY17692513.13141.10.239
LBY16492669.1275.6L213118.80.16811.10.1713
LBY16492671.13225.00.1312
LBY16391481.310.80.0310
LBY163914822278.1L2210.80.0810
LBY16391482.3235.60.223
LBY16391484.6255.6L1210.70.049
LBY16092302.6256.9L1210.40.186
LBY16092302.710.90.2712
LBY15192649.13237.50.211211.00.2812
LBY14391470.43567.90.122410.60.188
LBY14391470.7262.10.23153214.30.2211
LBY14391470.8255.0L12
LBY10591386.6239.40.03510.50.137
LBY10091410.2239.60.235
LBY10091410.3270.0L1810.6L9
CONT.228.72887.89.79
LGN4389052.3376.20.1575541.70.25412.40.216
LGN4389053.1370.40.25512.80.099
LGN4389053.2378.80.1785645.80.17612.30.265
CONT.351.55322. 811.7
Table 258. CONT. = Control; Ave. = Average; % Incr. = % increment; p-val. = p-value, L = p < 0.01.
TABLE 259
Genes showing improved plant performance at Normal growth conditions under regulation
of At6669 promoter
Plot Coverage [cm2]Rosette Area [cm2]Rosette Diameter [cm]
GeneEventP-%P-%P-%
Name#Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LGN4389053.265.10.02328.140.02324.76L14
CONT.49.26.154.17
LGN1789028.475.20.13169.400.13165.290.108
CONT.64.68.084.91
LGN1789027.174.50.20239.320.20234.990.1913
LGN1789028.472.30.27199.030.2719
CONT.60.57.564.40
LBY9091192.375.20.2579.390.257
LBY9091193.178.00.06119.750.06115.420.184
LBY8891186.478.20.18129.780.18125.520.096
LBY5991322.385.7L2210.7L225.69L9
LBY4791626.177.70.16119.710.16115.420.124
LBY4592194.481.00.241610.10.24165.71L9
LBY4592196.382.3L1810.3L185.72L10
LBY4592197.398.70.054112.30.05416.120.1017
LBY4091310.183.0L1910.4L195.420.124
LBY4091310.280.00.011410.00.01145.610.017
LBY22891610.482.20.101710.30.10175.620.038
LBY1891297.25.750.0610
LBY1691599.377.40.05119.680.05115.590.017
LBY12891439.677.70.04119.710.0411
LBY10091410.396.6L3812.1L386.18L18
CONT.70.08.755.23
LGN6189105.35.630.035
CONT.5.37
LGN6189105.385.90.271610.70.27165.500.2113
LGN6189107.389.70.222111.20.22215.600.1815
CONT.74.09.254.89
LBY7592094.15.650.104
LBY7592094.292.20.151011.50.15105.700.185
LBY6291401.388.10.24511.00.2455.580.243
LBY21892159.392.60.051011.60.05105.730.075
LBY19091513.289.00.27611.10.2765.640.184
LBY16391481.293.60.021111.70.02115.780.036
LBY16391481.389.50.14611.20.1465.820.027
LBY16391484.396.8L1512.1L155.860.038
CONT.84.110.55.43
LGN4090347.178.90.0969.860.0965.540.049
CONT.74.29.285.07
LBY9492333.28.400.07195.240.1312
LBY8492213.368.30.14218.540.14215.210.2012
LBY7592096.175.90.01359.490.01355.440.0217
LBY7392387.364.80.17158.100.1715
LBY7392388.169.60.04238.700.04235.170.0711
LBY6992169.379.6L419.95L415.500.0418
LBY6692089.364.30.18148.030.18145.110.099
LBY6692091.171.70.02278.970.02275.370.0215
LBY6692093.371.30.12268.910.12265.260.1113
LBY6291400.74.950.286
LBY6291401.364.70.16158.080.1615
LBY5891376.573.80.02319.220.02315.580.0720
LBY5891378.273.00.04299.120.04295.390.0216
LBY3791217.162.90.29117.860.29114.970.227
LBY21192412.188.50.015711.10.01576.030.0229
LBY20692350.374.30.01329.290.01325.380.0215
LBY19992307.174.50.04329.310.04325.390.0315
LBY19992308.169.90.17248.740.17245.390.0216
LBY17692509.285.30.015110.70.01515.780.0124
LBY15192649.264.40.21148.050.21145.180.1511
LBY15192651.364.40.27148.050.27145.030.198
LBY14391470.476.4L359.55L355.57L19
LBY14391470.767.70.19209.030.02285.440.0217
LBY14391470.871.10.07268.890.07265.260.0713
CONT.56.47.054.67
LBY9991635.362.60.07367.820.07364.96L12
LBY9991635.471.0L558.88L555.29L19
LBY9991635.563.30.02387.910.02385.070.1414
LBY9991636.458.00.22267.250.22264.790.058
LBY6692093.364.20.05408.020.05405.08L15
LBY21892159.161.50.27347.690.27345.060.2414
LBY21892159.358.1L277.26L274.94L12
LBY21892160.359.50.03307.440.03304.920.0911
LBY21892162.357.60.09267.200.09264.810.219
LBY21192412.149.40.2086.170.208
LBY20592164.159.50.07307.440.07304.900.0411
LBY20592164.359.0L297.38L295.06L14
LBY19992308.1-—4.970.2612
LBY19792399.151.30.26126.420.26124.700.186
LBY19792400.457.6L267.20L264.870.0610
LBY19792403.460.50.06327.560.06324.890.1010
LBY19592191.455.70.15216.960.15214.730.147
LBY19592193.260.40.01327.550.01324.99L13
LBY19592193.371.0L558.88L555.30L20
LBY19091510.262.2L357.77L354.98L13
LBY19091513.263.0L377.88L375.07L15
LBY19091513.367.20.06468.400.06465.230.0218
LBY17692509.263.00.07377.870.07375.070.1914
LBY17692510.154.80.21206.850.21204.870.2510
LBY16492669.169.80.19528.730.19525.230.2118
LBY16391481.364.20.12408.030.12405.050.1114
LBY16391482.266.9L468.36L465.19L17
LBY16391482.350.90.16116.370.16114.660.065
LBY16391484.664.2L408.03L405.23L18
LBY16092302.554.30.01186.780.01184.83L9
LBY16092302.657.90.11267.240.11264.780.078
LBY16092302.761.10.22337.630.22334.980.0612
LBY15192649.160.60.21327.570.21325.040.2214
LBY15192649.348.80.2666.100.266
LBY14391470.459.40.12307.430.12304.830.019
LBY14391470.852.80.02156.600.02154.610.114
LBY10591386.653.50.13176.690.1317
LBY10091410.24.650.135
LBY10091410.359.2L297.41L294.910.1311
LBY10091410.657.70.29267.220.29264.860.1910
CONT.45.95.744.43
LGN4389052.381.00.121710.10.12175.500.1411
CONT.69.28.654.94
LGN1389084.385.30.291110.70.2911
CONT.76.89.60
Table 259. “CONT.” = Control; “Ave.” = Average; “% Incr.” = % increment; “p-val.” = p-value, L p < 0.01.
TABLE 260
Genes showing improved plant performance at Normal growth conditions under regulation
of At6669 promoter
RGR Of Rosette
RGR Of Leaf NumberRGR Of Plot CoverageDiameter
GeneEventP-%P-%P-%
Name#Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LGN4389053.27.480.04320.3650.089
CONT.5.650.335
LGN1789028.48.750.1616
CONT.7.54
LGN4489056.10.7240.2816
CONT.0.625
LGN1789027.10.6720.19138.890.21230.3940.1218
LGN1789028.40.6870.0815
CONT.0.5977.230.334
LBY9091192.20.6890.1921
LBY9091192.38.860.217
LBY9091193.19.310.04130.4560.204
LBY8891186.49.360.11130.4790.019
LBY5991321.30.4610.125
LBY5991322.310.10.1322
LBY5790974.10.6480.0814
LBY4791626.19.170.1611
LBY4791627.30.6290.1410
LBY4791628.10.6720.2118
LBY4592194.49.660.20170.485L11
LBY4592196.39.700.24170.4760.078
LBY4592197.311.50.01390.4960.1813
LBY4091310.19.870.1919
LBY4091310.29.460.02140.4540.194
LBY4091311.10.6810.2420
LBY4091314.10.6230.249
LBY22891610.20.7120.1025
LBY22891610.49.710.23170.4630.076
LBY22291602.20.6880.1621
LBY22291604.40.6800.1919
LBY22191417.10.6210.239
LBY22091305.20.6630.2316
LBY1891297.20.4870.2711
LBY1891297.40.6140.268
LBY1691595.30.6710.2118
LBY1691599.39.060.06100.4580.264
LBY1691599.79.950.2320
LBY12991585.10.6560.0715
LBY12991585.40.6750.2118
LBY12891437.20.6490.1514
LBY12891439.69.080.0610
LBY10091410.311.40.01370.4950.1913
LBY10091410.40.6260.1510
CONT.0.5708.270.439
LGN6189105.30.4510.028
CONT.0.420
LGN6189106.10.6960.3018
LGN6189107.310.60.26200.4400.2117
CONT.0.5908.800.375
LBY7592097.40.7230.1920
LBY7392386.20.7170.1819
LBY6992171.10.7070.2417
LBY6992172.30.7130.2018
LBY6291400.70.7910.0531
LBY19091513.20.6990.2816
LBY16391481.30.4880.2713
LBY16092302.70.6960.2815
LBY10591388.10.7650.0727
CONT.0.6030.434
LGN4090345.10.7760.1614
LGN4090346.20.4240.207
LGN4090347.19.230.0960.4400.0611
CONT.0.6828.690.397
LBY8492213.38.880.2823
LBY7592096.19.740.11350.5040.2817
LBY7392387.30.7140.1332
LBY7392388.18.860.2823
LBY6992169.30.7750.074410.20.0642
LBY6692091.10.7030.16309.220.1928
LBY6692093.30.7010.19309.090.2226
LBY5891376.59.390.15300.5040.2917
LBY5891378.29.410.1630
LBY4592197.30.6990.1830
LBY21192412.111.40.01570.5670.0631
LBY20692350.39.540.1332
LBY19992307.19.580.1333
LBY19992308.18.990.25250.5050.2817
LBY17692509.10.7080.1931
LBY17692509.20.8260.025310.90.02510.5220.1821
LBY14391470.49.800.10360.5310.1423
LBY14391470.70.6650.2923
LBY14391470.89.160.2127
CONT.0.5407.210.431
LBY9991635.38.220.0637
LBY9991635.40.7750.04289.33L560.5230.1019
LBY9991635.50.7090.21178.250.06380.4950.3012
LBY9991636.47.600.1627
LBY6692093.38.390.04400.4930.2812
LBY21892159.18.090.07350.4970.2613
LBY21892159.37.620.1427
LBY21892160.37.800.1130
LBY21892162.37.560.1626
LBY20592164.10.7260.16207.830.1130
LBY20592164.37.760.11290.5120.1616
LBY20592166.27.250.2821
LBY19992308.17.890.1132
LBY19792400.47.550.1626
LBY19792403.47.940.0932
LBY19592191.47.280.2421
LBY19592193.27.950.08330.5000.2314
LBY19592193.30.7110.19179.31L550.5170.1317
LBY19091510.28.170.05360.4920.2912
LBY19091513.28.250.04380.5040.1814
LBY19091513.38.840.02470.5140.1517
LBY18492148.17.460.2224
LBY17692509.28.230.05370.4990.2213
LBY17692510.17.200.2820
LBY17692512.17.280.2621
LBY16492669.10.7350.11219.190.01530.5110.1916
LBY16391481.30.7660.05268.440.04410.4930.2912
LBY16391482.28.830.02470.5130.1416
LBY16391484.68.410.03400.5240.0919
LBY16092302.57.120.2919
LBY16092302.67.610.1527
LBY16092302.70.7040.24167.990.0833
LBY15192649.10.7570.07257.860.10310.4940.2912
LBY14391470.47.790.1030
LBY10091410.37.760.1129
LBY10091410.60.7030.25167.620.1627
CONT.0.6086.000.440
LGN4389052.39.440.13170.4160.2111
CONT.8.070.374
LGN1389084.50.7270.0326
LGN1389084.60.6570.1214
CONT.0.577
Table 260. “CONT.” Control; “Ave.” Average; “% Incr.” = % increment; “p-val.” p-value, L-p < 0.01.

The genes listed in Tables 261-263 improved plant performance when grown at low nitrogen (Low N) conditions. These genes produced larger plants with a larger photosynthetic area, biomass (fresh weight, dry weight, rosette diameter, rosette area and plot coverage) and relative growth rate (RGR). The genes were cloned under the regulation of a constitutive At6669 promoter (SEQ ID NO: 10654). The evaluation of each gene was performed by testing the performance of different number of events. Event with p-value <0.1 was considered statistically significant.

TABLE 261
Genes showing improved plant performance at Low Nitrogen growth conditions under
regulation of At6669 promoter
Dry Weight [mg]Fresh Weight [mg]Leaf Number
GeneEventP-%P-%P-%
Name#Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LGN4389052.22487.50.13310.50.305
LGN4389052.32495.80.233
LGN4389053.2241.70.0492587.50.117
CONT.221.72412.510.0
LGN4489055.710.50.272
LGN4489056.1187.50.1172195.80.2338
CONT.175.41587.510.3
LGN6189105.2242.90.2743008.30.26411.50.294
LGN6189105.33175.00.041011.20.082
LGN6189107.211.60.055
CONT.232.95895.8 —11.0
LGN4090345.12491.70.124
LGN4090346.32466.70.203
LGN4090347.12454.20.273
CONT.2387.1
LGN1789028.4303.80.14152579.20.098
CONT.263.13328.1
LGN4489057.312.70.156
CONT.12.0
LGN1789024.1315.00.0983258.30.26512.10.096
LGN1789028.4316.70.0493262.50.24511.80.113
CONT.290.63103.111.4
LGN2089089.310.80.064
LGN2089091260.00.1073258.30.137
CONT.243.83057.110.4
LGN4090345.111.80.0811
LGN4090345.4271.20.0343583.30.03511.70.0510
LGN4090347.111.40.188
CONT.261.73408.310.6
LGN1389084.3302.90.25412.50.276
CONT.290.011.9
Table 261. “CONT.” Control; “Ave.” Average; “% Incr.” = % increment; “p-val.” p-value, L-p < 0.01.
TABLE 262
Genes showing improved plant performance at Low Nitrogen growth conditions under
regulation of At6669 promoter
Plot Coverage [cm2]Rosette Area [cm2]Rosette Diameter [cm]
GeneEventP-%P-%P-%
Name#Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LGN4389053.240.50.05275.070.05273.600.0714
CONT.31.93.993.15
LGN6189105.33.940.044
LGN6189107.24.010.296
LGN6189107.353.40.17136.670.17134.140.099
CONT.47.15.893.78
LGN1789028.445.80.13145.730.13143.690.195
CONT.40.15.023.50
LGN6189107.357.70.29127.210.2912
CONT.51.36.42
LGN178902459.60.03267.450.03264.310.0515
LGN1789028.458.3L247.29L244.18L11
CONT.47.25.903.76
LGN4090345.460.80.25227.590.2812
CONT.49.96.78
LGN1389084.375.50.12249.440.12244.860.1213
CONT.60.97.624.32
Table 262. “CONT.” Control; “Ave.” Average; “% Incr.” = % increment; “p-val.” p-value, L-p < 0.01.
TABLE 263
Genes showing improved plant performance at Low Nitrogen growth
conditions under regulation of At6669 promoter
RGR Of Leaf NumberRGR Of Plot CoverageRGR Of Rosette Diameter
GeneEventP-%P-%P-%
Name#Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LGN4389052.20.7510.2216
LGN4389052.30.2760.2515
LGN4389053.24.600.06250.2670.1411
CONT.0.6463.680.240
LGN6189105.20.2730.218
LGN6189105.30.2730.298
LGN6189106.10.2680.256
LGN6189107.20.7240.28130.2920.1016
LGN6189107.35.850.28100.2780.1211
CONT.0.6425.320.252
LGN4090345.10.2600.278
LGN4090345.30.2570.277
LGN4090347.10.2520.225
CONT.0.241
LGN1789028.45.190.2112
CONT.4.62
LGN4489055.70.7540.238
LGN4489057.30.7920.1714
CONT.0.696
LGN1789024.10.7440.2667.160.04290.3280.0522
LGN1789028.46.830.01230.2900.188
CONT.0.6995.560.269
LGN2089089.30.7840.1314
LGN2089091.40.7720.2012
LGN2089093.40.7190.294
CONT.0.691
LGN4090345.10.7970.0425
LGN4090345.40.7340.27157.170.2822
LGN4090347.10.7540.0819
CONT.0.6365.87
LGN1389084.20.7280.216
CONT.0.684
LGN1389084.30.6930.29118.920.1424
CONT.0.6247.20
Table 263. “CONT.”-Control; “Ave.”-Average; “% Incr.” = % increment; “p-val.”-p-value. L-p < 0.01.

Seedling analysis of plants growth under favorable (normal) nitrogen concentration levels—Surface sterilized seeds were sown in basal media [50% Murashige-Skoog medium (MS) supplemented with 0.8% plant agar as solidifying agent] in the presence of Kanamycin (used as a selecting agent). After sowing, plates were transferred for 2-3 days for stratification at 4° C. and then grown at 25° C. under 12-hour light 12-hour dark daily cycles for 7 to 10 days. At this time point, seedlings randomly chosen were carefully transferred to plates containing ½ MS media (15 mM N, normal conditions). For experiments performed in T2 lines, each plate contained 5 seedlings of the same transgenic event, and 3-4 different plates (replicates) for each event. For each polynucleotide of the invention at least four-five independent transformation events were analyzed from each construct. For experiments performed in T1 lines, each plate contained 5 seedlings of 5 independent transgenic events and 3-4 different plates (replicates) were planted. In total, for T1 lines, 20 independent events were evaluated. Plants expressing the polynucleotides of the invention were compared to the average measurement of the control plants (empty vector or GUS reporter gene under the same promoter) used in the same experiment.

Seedling analysis of plants growth under low and favorable nitrogen concentration levels—Low nitrogen is an abiotic stress that impact root growth and seedling growth. Therefore, an assay that examines plant performance under low (0.75 mM Nitrogen) and favorable (15 mM Nitrogen) nitrogen concentrations was performed, as follows.

Surface sterilized seeds were sown in basal media [50% Murashige-Skoog medium (MS) supplemented with 0.8% plant agar as solidifying agent] in the presence of Kanamycin (used as a selecting agent). After sowing, plates were transferred for 2-3 days for stratification at 4° C. and then grown at 25° C. under 12-hour light 12-hour dark daily cycles for 7 to 10 days. At this time point, seedlings randomly chosen were carefully transferred to plates containing ½ MS media (15 mM N) for the normal nitrogen concentration treatment and 0.75 mM nitrogen for the low nitrogen concentration treatments. For experiments performed in T2 lines, each plate contained 5 seedlings of the same transgenic event, and 3-4 different plates (replicates) for each event. For each polynucleotide of the invention at least four-five independent transformation events were analyzed from each construct. For experiments performed in T1 lines, each plate contained 5 seedlings of 5 independent transgenic events and 3-4 different plates (replicates) were planted. In total, for T1 lines, 20 independent events were evaluated. Plants expressing the polynucleotides of the invention were compared to the average measurement of the control plants (empty vector or GUS reporter gene under the same promoter) used in the same experiment.

Digital imaging—A laboratory image acquisition system, which consists of a digital reflex camera (Canon EOS 300D) attached with a 55 mm focal length lens (Canon EF-S series), mounted on a reproduction device (Kaiser RS), which includes 4 light units (4×150 Watts light bulb) and located in a darkroom, was used for capturing images of plantlets sawn in agar plates.

The image capturing process was repeated every 3-4 days starting at day 1 till day 10 (see for example the images in FIGS. 3A-3F). An image analysis system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.39 [Java based image processing program which was developed at the U.S. National Institutes of Health and freely available on the internet at rsbweb (dot) nih (dot) gov/]. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Seedling analysis—Using the digital analysis seedling data was calculated, including leaf area, root coverage and root length.

The relative growth rate for the various seedling parameters was calculated according to the following Formulas XIII (RGR leaf area, above), XXVIII (RGR root coverage, described above) and VI (RGR root length, below).

At the end of the experiment, plantlets were removed from the media and weighed for the determination of plant fresh weight. Plantlets were then dried for 24 hours at 60° C., and weighed again to measure plant dry weight for later statistical analysis. The fresh and dry weights were provided for each Arabidopsis plant. Growth rate was determined by comparing the leaf area coverage, root coverage and root length, between each couple of sequential photographs, and results were used to resolve the effect of the gene introduced on plant vigor under optimal conditions. Similarly, the effect of the gene introduced on biomass accumulation, under optimal conditions, was determined by comparing the plants' fresh and dry weight to that of control plants (containing an empty vector or the GUS reporter gene under the same promoter). From every construct created, 3-5 independent transformation events were examined in replicates.

Statistical analyses—To identify genes conferring significantly improved plant vigor or enlarged root architecture, the results obtained from the transgenic plants were compared to those obtained from control plants. To identify outperforming genes and constructs, results from the independent transformation events tested were analyzed separately. To evaluate the effect of a gene event over a control the data was analyzed by Student's t-test and the p value was calculated. Results were considered significant if p≤0.1. The JMP statistics software package was used (Version 5.2.1, SAS Institute Inc., Cary, N.C., USA).

Tables 264-266 summarize the observed phenotypes of transgenic plants expressing the gene constructs using the TC-T2 assays [tissue culture (seedling assays), T2 plants, seedling (plantlets) analyses].

The genes presented in Table 264 showed a significant improvement as they produced larger plant biomass (plant fresh and dry weight) in T2 generation when grown under low nitrogen growth conditions, compared to control plants. The genes were cloned under the regulation of a constitutive promoter (At6669, SEQ ID NO: 10654). The evaluation of each gene was carried out by testing the performance of different number of events. Some of the genes were evaluated in more than one seedling assay. The results obtained in these second experiments were significantly positive as well.

TABLE 264
Genes showing improved plant performance at Low Nitrogen growth
conditions under regulation of At6669 promoter
GeneDry Weight [mg]Fresh Weight [mg]
NameEvent #Ave.P-VaL% Incr.Ave.P-VaL% Incr.
LGN3589043.14.15L1565.70.0228
LGN3589043.24.150.011557.30.2511
LGN3589043.358.40.0314
LGN3589043.44.20L1660.50.0718
CONT.3.6151.4
LGN3989931.184.70.1710
LGN3989931.35.470.181584.50.1210
LGN3989931.485.20.0811
LGN3490400.25.350.0912
LGN3490403.35.750.202192.80.1121
CONT.4.7676.7
NUE388975.14.300.1417
NUE388977.13.920.27798.60.0540
NUE388977.24.170.181485.80.0621
LGN989186.13.980.298103.60.2147
LGN989186.278.90.2312
LGN789181.1133.40.1989
LGN1489168.278.60.1411
CONT.3.6770.6
LGN2689036.15.650.052579.50.0521
LGN2689036.34.880.268
LGN2689037.26.10L3590.80.0238
LGN2689037.35.750.022775.30.1614
CONT.4.5365.9
LGN4689101.174.20.1510
LGN4689101.44.900.101283.00.1222
LGN4689101.774.10.189
CONT.4.7176.8
LGN5789064.25.980.035597.20.2040
LGN5789065.14.900.1027
LGN5789067.15.300.013888.00.1827
LGN5789067.24.920.0428
CONT.3.8569.3
LGN489075.281.5L23
CONT.66.4
LGN5290578.64.300.19573.80.039
LGN5290581.14.720.021572.90.057
LGN5290581.25.070.0424
CONT.4.1072.7
LGN4689101.95.030.1623
CONT.4.09
LGN4591579.55.380.177
CONT.5.04
LGN2392317.24.420.2012
CONT.3.96
LGN1892468.34.950.176
CONT.4.66
LGN3589043.24.720.298
CONT.4.38
LGN3391570.472.30.2913
LGN3391572.14.150.0414
LGN3391572.33.920.088
LGN3391574.43.900.237
CONT.3.6464.0
LGN4791171.44.880.2414
LGN4791174.44.77L11
CONT.4.29
LGN4292204.15.350.195
CONT.5.07
NUE388977.13.980.23869.90.2511
NUE388977.24.470.032272.50.1515
NUE388977.54.650.072774.90.2219
LGN989186.187.50.1939
LGN789181.14.280.1316
LGN789183.23.980.288
LGN1489165.33.980.288
CONT.3.6762.8
LGN4989079.386.80.2912
LGN4989081.35.980.0218108.10.2940
LGN4989081.685.00.1210
CONT.5.0577.2
LGN489075.25.00L2787.50.0219
CONT.3.9273.5
LGN2392316.23.950.0911
LGN2392317.24.150.2716
CONT.3.56
LGN2489096.33.550.253
CONT.3.45
LGN588198.15.400.07895.80.1717
LGN588198.45.880.261898.40.0620
LGN588203.25.000.197
CONT.4.9982.2
LGN4791174.34.980.2013
CONT.4.40
LGN192184.14.220.108104.60.1432
LGN192185.14.50L15
LGN192185.24.400.1012
LGN192187.14.330.0511122.50.2354
LGN192188.14.770.0822
CONT.3.9190.8
LGN289029.24.350.1310
LGN289029.54.300.159
LGN289032.24.400.1111
LGN289033.14.420.151275.80.2211
CONT.3.9668.1
LGN4591575.270.5L25
LGN4591575.367.10.2719
LGN4591579.381.80.1245
LGN4591579.487.30.1255
LGN4591579.562.40.2411
CONT.56.3
LGN3391574.44.150.091069.80.1922
CONT.3.7657.3
LGN5789064.24.900.032584.40.0221
LGN5789065.13.880.283
LGN5789066.176.10.259
CONT.3.9270.0
NUE10290005.167.80.1819
CONT.57.0
LGN4292204.24.600.0411
LGN4292204.55.170.1225
CONT.4.15
LGN6089176.15.470.132381.90.298
CONT.4.4575.9
Table 264. “CONT.”-Control; “Ave.”-Average; “% Incr.” = % increment; “p-val.”-p-value. L-p < 0.01.

The genes presented in Table 265 showed a significant improvement as they produced larger plant biomass (plant fresh and dry weight) in T2 generation when grown under normal growth conditions, compared to control plants. The genes were cloned under the regulation of a constitutive promoter (At6669, SEQ ID NO: 10654). The evaluation of each gene was carried out by testing the performance of different number of events. Some of the genes were evaluated in more than one seedling assay. The results obtained in these second experiments were significantly positive as well.

TABLE 265
Genes showing improved plant performance at Normal growth
conditions under regulation of At6669 promoter
Dry Weight [mg]Fresh Weight [mg]
Gene NameEvent #Ave.P-Val.% Incr.Ave.P-Val.% Incr.
LBY20092754.19.630.0443181.0L45
LBY20092754.37.600.1613159.20.0227
LBY20092757.19.050.0334214.70.1672
LBY20092757.28.270.0323168.60.0835
LBY20092758.3149.50.2720
LBY14192564.110.30.0853188.00.0750
LBY14192565.28.430.0225173.50.0639
LBY14192566.38.700.1729158.80.1627
LBY14192566.4151.20.1921
LBY14192568.17.770.1215154.40.1524
CONT.6.74124.9
LGN3589043.28.680.0420
CONT.7.21
LBY17592179.110.60.2422
LBY17592181.210.40.0520
LBY17592181.49.750.2912
LBY14992245.211.10.2028
LBY14092265.211.10.0328
LBY11692136.411.00.1027
LBY11692138.613.0L50
CONT.8.68
LGN3989931.37.600.1540131.10.1536
LGN3490400.29.70L78160.7L67
LGN3490403.37.220.1533132.10.1537
CONT.5.4496.2
NUE388975.1131.70.2620
NUE388977.17.600.0635148.50.0836
NUE388977.26.420.0914168.80.1554
LGN989186.16.380.1914140.90.0329
LGN789183.3125.90.2915
LGN789183.8133.50.1022
LGN1489168.1128.20.2117
LGN1489168.26.170.2810122.00.2012
LGN1489168.5148.40.2636
CONT.5.61109.4
LBY5293946.310.40.2922
LBY34_H293855.210.00.1717
LBY34_H293856.111.20.0430185.20.0239
LBY27_H493931.410.30.1921170.90.1228
LBY14893767.29.570.2912163.60.1023
CONT.8.55133.3
LGN2689037.210.20.2313177.40.2813
LGN2689037.312.9L43224.20.0443
LGN2689037.412.4L38208.70.0133
CONT.9.00156.9
LGN4689101.39.670.258
LGN4689101.710.60.2315187.60.2120
CONT.9.18156.5
LGN5789064.211.20.0945212.90.1158
LGN5789065.110.90.0442179.20.0533
LGN5789067.19.670.0825188.20.0539
LGN5789067.2159.00.2618
CONT.7.74135.1
LGN3689044.111.30.1025212.20.0333
CONT.9.03159.9
LBY18591498.210.70.1029
LBY18591499.210.90.1232
LBY18591499.39.700.2617242.30.2341
LBY17991545.210.6L28
LBY17391652.111.8L43242.50.0641
LBY17391653.111.40.2638238.10.2938
LBY12192290.411.00.0733231.80.1035
CONT.8.27172.1
LGN5488208.210.70.0618195.30.1710
CONT.9.05180.3
LBY8092270.18.970.0232
LBY7892311.3166.20.2816
LBY7892311.48.97L32177.00.0424
LBY7892312.27.750.2014165.00.2815
LBY7892313.58.430.0824176.60.2424
LBY5392414.17.750.0914
LBY5392418.17.750.1014
LBY20892356.18.450.0324173.00.0321
LBY20892357.19.150.0235165.80.3016
LBY20892358.28.380.0223
LBY20892358.47.830.2015178.10.2725
LBY15392249.29.530.0140194.50.0136
LBY15392252.28.380.2523
LBY15392253.28.350.1623
LBY14992246.38.720.2729172.20.2620
LBY12192290.38.600.1027
LBY12192291.47.950.1617188.80.2032
LBY12192293.28.300.1122167.40.2917
CONT.6.79143.0
LGN489075.2167.80.2716
CONT.144.4
LGN5290578.67.380.2520156.50.0830
LGN5290581.16.980.2613139.10.1716
CONT.6.16119.9
LGN4192101.18.930.0431
LGN4192102.38.780.1128
CONT.6.84
LGN4689101.47.750.0824140.60.2714
LGN4689101.97.800.1125152.30.1024
CONT.6.24122.9
LGN4591575.212.90.0228237.4L29
LGN4591575.313.0L29283.7L54
LGN4591579.411.30.1612248.00.1035
CONT.10.1183.7
LBY9293921.214.20.0353239.5L66
LBY9293923.312.40.2133197.20.1837
LBY20193928.110.30.1011
LBY14893764.1163.20.1413
LBY106_H393918.114.40.0955218.10.1251
CONT.9.30144.0
LBY5091317.39.180.0139177.3L42
LBY5091319.26.980.206146.20.2517
LBY2491220.67.450.2513144.40.0816
LBY2491221.28.700.2232183.00.1746
LBY2491223.17.470.2913152.30.2522
LBY2190977.17.550.1414138.20.1411
LBY2190978.4151.90.2822
LBY16191293.38.60L30195.40.1156
LBY16191294.18.780.0233200.60.1761
LBY16191294.2152.00.2422
LBY1591142.28.40L27149.20.0219
LBY1591144.27.750.2317
LBY1591144.37.620.2016142.90.3014
CONT.6.60124.9
LGN2392316.29.550.1016187.00.1524
LGN2392317.211.30.0938225.30.0149
LGN2392318.1169.70.3013
CONT.8.21150.9
LGN4889063.2159.50.0524
CONT.128.4
LGN1892466.312.30.0644239.00.0364
CONT.8.59146.0
LBY4191620.411.4L40201.00.1230
LBY4191621.110.20.0526197.6L28
LBY4191623.1194.60.2726
LBY4191623.29.950.0822185.40.1920
LBY18691657.112.00.0348204.20.0632
LBY18691659.112.9L59208.00.1234
LBY18691659.310.8L33202.00.1030
LBY18691659.410.10.2125203.00.1231
LBY16691542.59.320.0915198.10.0428
LBY16691544.314.4L77257.0L66
LBY16691544.49.250.1414186.10.0620
LBY16691544.510.10.0324206.30.0833
CONT.8.14155.0
LGN3589043.112.3L40231.90.0447
LGN3589043.410.50.1319
CONT.8.80157.3
LGN3391572.17.450.0224127.40.0520
LGN3391572.37.950.0232144.40.0236
LGN3391574.27.000.2616130.40.2023
CONT.6.01106.3
LGN1892468.310.30.0333170.20.0631
LGN1892468.59.620.2324188.20.0845
CONT.7.75130.2
LBY18691657.19.300.2023161.80.1228
LBY18691659.110.20.1136161.50.1528
LBY17991549.110.20.0235164.20.0230
LBY17991549.310.20.1836170.10.1535
LBY15291286.19.950.1632171.20.1035
LBY15291287.18.820.2817147.70.2717
LBY15291289.210.60.0440173.80.0837
LBY12391427.19.120.1121170.60.0735
CONT.7.56126.4
LBY20392841.29.280.0514209.40.1349
LBY18092578.59.380.0215
LBY17792497.1195.00.1539
LBY14493061.69.75L19193.80.0338
LBY11192797.310.10.0824
CONT.8.16140.5
LGN4791174.29.650.2220179.30.2617
LGN4791174.310.30.1720
LGN4791174.49.670.2112170.80.2111
CONT.8.64177.7
LGN4292204.211.10.1223
CONT.9.00
LBY20392841.2143.40.2014
LBY20392842.4165.9L32
LBY19192519.1200.10.0759
LBY19192519.210.10.1725169.40.1534
LBY19192522.1151.00.1620
LBY19192523.3176.10.2640
LBY16792772.1190.10.2151
LBY16792773.49.670.0820168.50.0234
LBY14493059.310.10.0325202.90.0261
LBY14493061.4167.10.1233
LBY14493061.58.720.218181.0L44
LBY14493061.611.1L37190.3L51
LBY14493062.2164.40.1931
LBY11192797.38.950.2511160.00.1727
LBY11192798.19.450.1817
CONT.8.08126.0
LGN4192102.26.500.0231113.50.2711
LGN4192102.36.470.2330152.80.2449
CONT.4.98102.3
NUE388975.24.700.0517
NUE388977.25.200.122993.50.0527
NUE388977.595.20.0329
LGN789181.15.070.1926
LGN789183.24.420.1910
LGN1489165.34.980.122484.50.1515
LGN1489167.35.400.063492.10.0325
LGN1489168.14.470.2011
LGN1489168.24.530.131286.00.1517
LGN1489168.586.70.1218
CONT.4.0373.6
LGN489075.25.770.1322111.90.0319
CONT.4.7593.9
LGN4989079.1185.70.2323
LGN4989081.314.60.0265265.80.0476
LGN4989081.410.80.0323190.30.0326
LGN4989081.6174.20.2116
CONT.8.82150.7
LGN3490403.29.700.2614
CONT.8.47
LGN5290581.4148.50.0426
CONT.117.5
LBY7193769.27.250.0824131.90.0826
LBY7193769.37.100.1322128.90.1423
LBY7193773.28.020.0637139.70.0433
LBY6893860.37.280.0625137.00.0931
LBY6893862.17.650.1131139.10.0833
LBY6893862.26.880.1918124.40.1819
LBY6194019.16.650.2714
LBY6194023.26.800.1816128.20.1022
LBY694111.3128.50.2023
LBY5293946.26.920.2319128.80.2323
LBY593941.37.580.1430135.20.2129
LBY4492492.16.720.1915
LBY34_H293855.28.380.0343145.20.0139
LBY34_H293857.18.470.0345142.50.0636
LBY34_H293857.28.300.0242152.40.0545
LBY18192479.37.170.1423137.10.0231
LBY18192480.57.100.1022123.90.1818
LBY18192482.17.150.1122127.90.0822
LBY14293199.17.280.0625136.80.0131
LBY14293203.38.820.0251153.20.0246
LBY14293203.48.40L44148.9L42
CONT.5.84104.8
LBY4191621.28.180.0421
LBY4191623.17.830.2316
LBY4191623.28.050.0719149.50.1122
LBY17391652.111.4L69198.8L63
LBY17391652.27.750.2615143.20.1517
LBY17391652.516.30.02142256.30.05110
LBY17391653.17.750.2015
LBY16691542.510.70.0458188.80.0854
LBY16691544.59.600.1242165.30.2535
CONT.6.75122.3
LBY8592064.18.050.1910210.50.1833
LBY8592066.28.400.2715183.00.1916
LBY8592066.39.670.0432225.50.0543
LBY8592066.59.620.0232213.30.0435
LBY8592068.38.930.2822
LBY6491340.48.020.2210178.50.1313
LBY6491342.38.200.1312193.40.0123
LBY4692200.38.350.0914
LBY4692201.48.700.2319
LBY20792155.19.400.0629189.70.2820
LBY20792158.29.300.2027
LBY18591497.29.53L30192.10.2522
LBY18591498.28.000.279
LBY18591499.211.40.0156260.10.0565
LBY18591499.38.850.0721190.40.0621
LBY1792215.49.030.0623215.60.0737
LBY1792216.211.80.0461241.7L53
LBY15592015.110.1L38227.40.0444
LBY15592016.49.480.2530
LBY15592016.58.250.2413177.90.1313
LBY12291370.211.00.0551257.8L63
LBY12291371.3192.80.1422
LBY12291371.611.20.0254243.30.0554
LBY12291374.18.570.1517194.10.1823
CONT.7.31157.8
LBY5091319.2178.20.1217
LBY2491220.610.20.2112175.80.2416
LBY2491221.211.30.0524183.20.2821
LBY2190978.4172.70.0914
LBY2190980.111.20.0823
LBY15291286.19.970.169186.00.0323
LBY15291289.4166.70.2510
LBY12391428.210.80.0318184.80.0222
LBY12391429.210.10.2511
LBY12391429.310.50.0715195.1L29
LBY11491393.112.10.1632214.10.0641
LBY11491393.213.20.0445199.10.0231
CONT.9.11151.7
LGN2489096.37.800.1325
CONT.6.24
LGN2392316.210.4L37208.50.0821
LGN2392317.28.930.0217
CONT.7.60172.5
LBY9392656.1200.30.2814
LBY9392657.3227.90.2429
LBY7692642.112.6L40233.20.0132
LBY7692642.211.30.2025
LBY7692642.312.7L40234.70.0133
LBY7692642.410.30.2514241.80.3037
LBY7092684.213.5L49290.30.0565
LBY7092685.511.10.0823217.60.1123
LBY7092686.212.4L38237.90.2235
LBY22792851.111.10.1723223.80.2627
LBY22792852.310.60.2418240.60.0336
LBY22792853.113.0L44
LBY18392516.211.00.1121
LBY18092578.5200.70.2414
LBY15992150.410.60.0717226.20.1628
LBY15992152.110.30.2114
LBY15992152.213.6L50271.50.0354
LBY15992152.310.90.1421
LBY15992153.110.70.2118
LBY15692294.113.6L50233.40.1032
LBY15692294.210.70.0518
LBY15692294.312.70.0741239.40.1636
LBY15692298.111.30.2325
LBY15692298.211.80.2330
LBY14592604.1233.80.1733
LBY14592607.1238.00.2235
LBY14592608.411.20.1824
CONT.9.04176.3
LGN4791174.310.10.0630163.80.0623
LGN4791174.69.40L22
CONT.7.73133.1
LGN192185.19.050.2127
LGN192185.28.700.2823
LGN192187.17.750.298163.10.2418
LGN192188.110.60.0548210.00.1252
CONT.7.15138.4
LGN3391572.1156.20.0632
CONT.117.9
LGN4591575.314.20.0270275.9L82
LGN4591579.410.40.2424
LGN4591579.510.7L28215.80.1342
CONT.8.36151.9
LBY4492491.2152.80.2618
LBY4392680.18.970.0913
LBY18192479.311.70.0147172.80.0434
LBY18192480.49.800.2723
LBY18192480.512.6L58199.90.0255
LBY18192482.110.6L33171.70.0533
LBY16792770.410.70.0234180.90.1640
LBY16792772.210.30.0829196.00.0252
LBY16792773.19.530.1220163.60.1226
LBY15792799.310.60.1733165.50.1628
LBY15792802.210.10.2127
LBY15792802.39.500.0419
LBY15792803.111.70.0147177.20.1337
LBY15792803.211.50.0545214.50.2166
CONT.7.96129.4
LBY5392414.19.650.1931187.20.2834
LBY5392416.110.70.1046212.10.1852
LBY5392417.38.880.1721
LBY3192344.2186.10.2033
LBY3192347.1166.80.1619
LBY20892358.29.300.2926211.80.0451
LBY20892358.49.320.1427177.90.1427
LBY20792154.18.950.1922195.90.1240
LBY20792155.19.650.0931189.60.1236
LBY20792157.310.00.0736
LBY17592179.39.100.2924
LBY17592180.310.80.1646213.70.2453
LBY17592181.310.50.1842210.20.2450
LBY17592181.412.10.0765213.90.1053
LBY14092265.210.6L43181.40.0630
LBY14092266.38.600.2617161.80.3016
LBY11692136.310.10.0337185.60.0433
LBY11692136.411.80.1460206.20.2747
LBY11692138.611.00.0449200.20.0943
CONT.7.36139.9
LGN289029.211.20.0346218.50.1358
LGN289029.59.70L27192.20.1039
LGN289032.29.070.2819
LGN289032.38.680.0714196.90.1443
LGN289033.19.830.0929166.90.1821
CONT.7.61138.1
LGN5789064.29.28L45184.3L41
LGN5789067.37.85L23139.20.159
CONT.6.39131.1
LGN4292204.38.620.0617
CONT.7.35
NUE10290004.211.40.1922190.50.2429
NUE10290004.310.60.0714169.40.0615
NUE10290005.111.90.1328189.80.1228
NUE10290005.311.50.0324181.90.0323
CONT.9.30147.8
LBY8592064.19.97L27178.8L26
LBY8592066.38.900.0613170.10.1520
LBY8592066.59.280.1218177.70.0525
LBY6491342.69.450.1820173.70.1022
LBY4692200.3247.50.0574
LBY4692201.210.20.1229184.80.0130
LBY4692201.410.40.0832197.70.0739
LBY4692202.18.930.1813157.70.2211
LBY1792215.4205.70.1845
LBY1792216.310.9L39218.80.0254
LBY15592015.19.850.0725211.3L49
LBY15592016.710.20.0629186.80.0231
LBY12291371.28.720.1511172.90.2322
LBY12291371.3200.10.0841
LBY12291371.4170.10.1220
LBY12291371.6167.70.2118
LBY12291374.19.720.2323190.00.2333
CONT.7.88142.3
LGN6089174.29.320.0427170.00.1914
LGN6089175.38.780.0819169.60.2514
LGN6089176.110.20.1638
LGN6089176.28.600.1617
CONT.7.35148.5
LBY9293921.214.20.0353239.5L66
LBY9293923.312.40.2133197.20.1837
CONT.9.30144.0
Table 265. “CONT.”-Control; “Ave.”-Average; “% Incr.” = % increment; “p-val.”-p-value, L-p < 0.01.

The genes presented in Table 264 showed a significant improvement as they produced larger plant biomass (plant fresh and dry weight) in T2 generation when grown under low nitrogen growth conditions, compared to control plants. The genes were cloned under the regulation of a constitutive promoter (At6669, SEQ ID NO: 10654). The evaluation of each gene was carried out by testing the performance of different number of events. Some of the genes were evaluated in more than one seedling assay. The results obtained in these second experiments were significantly positive as well.

TABLE 266
Genes showing improved plant performance at Low Nitrogen growth conditions under
regulation of At6669 promoter
GeneDry Weight [mg]Fresh Weight [mg]
NameEvent #Ave.P-VaL% Incr.Ave.P-VaL% Incr.
LBY18691657.14.450.1116
LBY18691659.14.150.238
LBY18691659.34.420.021575.20.0817
LBY17991549.14.250.2710
LBY15291286.14.500.0117
LBY15291288.24.450.0516
LBY12391428.24.150.168
LBY12391429.24.100.196
LBY12391429.34.200.159
LBY11491391.24.300.131273.70.1615
CONT.3.8564.1
LBY20392839.14.830.131073.00.1420
LBY20392841.280.90.0333
LBY20392842.395.10.0656
LBY18092576.275.80.1025
LBY18092576.34.650.25671.30.1817
LBY18092578.54.850.0411
LBY17792495.177.10.1027
LBY17792497.372.20.2919
LBY14493059.380.10.1332
LBY14493061.478.3L29
LBY14493061.65.100.291682.50.1536
LBY11192794.45.000.111472.20.1719
LBY11192797.180.70.0233
LBY11192798.169.00.1113
LBY11192798.470.50.1816
CONT.4.3960.9
LBY19192523.34.720.087
LBY16792773.44.620.265
LBY14493059.34.800.098
CONT.4.42
LBY7892311.44.880.2210
LBY3192344.15.000.081399.20.0431
LBY3192345.45.200.1518
LBY17592179.15.050.0714
LBY17592181.25.22L1887.00.1115
LBY17592181.45.550.092691.90.2021
LBY14092268.281.60.188
LBY11692136.44.950.181284.80.1912
CONT.4.4175.7
LBY593939.45.950.1935100.70.1744
LBY34_H293856.14.900.0811
LBY27_H493930.193.30.2234
LBY18392516.55.700.142987.60.0326
LBY15992152.383.50.0420
LBY15992153.14.950.2112
LBY15792803.15.58L26
LBY14893767.281.20.0916
LBY14893768.14.850.1110
CONT.4.4169.7
LBY8092269.34.60L1766.80.0525
LBY8092270.14.550.011668.10.2128
LBY8092272.24.420.201367.30.2726
LBY8092273.14.55L1686.40.1962
LBY18591497.14.70L2073.80.2638
LBY18591497.24.420.031360.60.0314
LBY18591498.25.030.042869.20.2330
LBY18591499.25.30L35
LBY17991545.24.600.0117
LBY17991547.24.880.0324
LBY17991549.14.950.1126
LBY17391651.24.280.219
LBY17391652.15.580.074275.00.0241
LBY17391652.25.58L4279.7L49
LBY17391652.369.70.0831
LBY17391653.14.920.072574.40.1439
LBY15392249.259.00.1111
LBY15392253.24.530.0715
LBY12192290.34.300.091060.20.2713
LBY12192291.259.00.2011
LBY12192291.44.250.09860.70.1814
CONT.3.9253.4
LBY7193773.269.40.2412
LBY6893862.171.40.1215
LBY5293946.277.7L26
LBY4492491.271.70.2416
LBY21694080.371.20.0315
LBY2094085.14.580.081575.10.0521
LBY18192479.374.30.1020
LBY14293199.172.00.0316
LBY14293203.44.450.061276.50.1123
CONT.3.9861.9
LBY4191621.14.00L1366.40.1810
LBY4191621.24.00L13
LBY4191623.24.030.031365.10.308
LBY17391651.23.850.118
LBY17391652.14.60L3075.30.1024
LBY17391652.55.75L6276.60.0826
LBY16691542.54.050.031470.60.0917
LBY16691544.464.60.257
LBY16691544.54.050.1814
CONT.3.5560.6
LBY8592064.13.950.287
LBY8592066.24.220.1315
LBY8592066.34.72L29
LBY8592066.54.75L29
LBY8592068.34.330.1618
LBY6491340.44.050.1410
LBY6491342.34.400.0220101.00.2921
LBY4692200.34.600.0725
LBY20792155.14.580.0124
LBY20792157.34.250.0716
LBY20792158.24.650.0527109.40.3031
LBY18591497.14.250.1416
LBY18591497.24.420.0120
LBY18591498.24.420.0220
LBY18591499.24.850.1732
LBY1792216.24.380.0919
LBY15592015.14.380.0519
LBY15592016.44.330.0218
LBY12291370.24.750.0129
LBY12291371.34.200.2014
LBY12291371.64.75L29
LBY12291374.14.450.0121
CONT.3.6783.3
LBY5091317.373.00.1514
LBY5091318.14.830.181175.20.2617
LBY5091318.24.900.171378.70.0523
LBY5091318.475.60.0318
LBY5091319.25.050.021680.60.1326
LBY2491220.64.720.06981.20.0827
LBY2491221.14.770.261079.2L23
LBY2491221.25.000.091578.00.0722
LBY2491223.286.60.1735
LBY2190977.179.20.1223
LBY2190980.14.800.191173.10.1514
LBY16191292.176.10.0219
LBY16191292.54.92L1476.20.0219
LBY16191293.35.33L2381.40.0227
LBY15291286.174.30.0416
LBY15291287.14.830.021181.2L27
LBY15291288.272.30.1113
LBY15291289.25.330.062373.50.2215
LBY15291289.44.550.285
LBY1591143.176.50.2119
LBY1591144.14.800.031170.20.2710
LBY1591144.24.580.24588.8L39
LBY1591144.34.920.0814
LBY12391429.35.000.2615
LBY11491391.277.00.0220
LBY11491393.14.620.167
CONT.4.3464.1
LBY8092269.44.850.1914
LBY5392418.1106.30.1535
LBY15392252.24.620.239109.90.1840
LBY14992246.35.000.0818
CONT.4.2478.5
LBY18092576.2149.20.3054
LBY15692294.35.330.175
CONT.5.0796.7
LBY2094085.15.330.2610
LBY106_H393918.15.720.2918
CONT.4.86
LBY5392415.15.62L23
LBY3192344.15.330.1316101.10.1426
LBY20892358.25.470.0419
LBY20792155.15.400.1118
LBY20792157.35.72L25
LBY17592179.15.200.2313
LBY17592181.35.150.221295.00.1018
LBY17592181.45.030.2510
LBY14092265.25.120.0112
LBY14092266.35.350.051789.60.2611
LBY11692136.35.500.0220
LBY11692138.65.170.1013
CONT.4.5980.4
LBY4492491.262.90.1115
LBY18192482.14.980.048
LBY16792770.468.00.2024
LBY16792773.15.28L1567.20.1522
LBY16792773.44.850.15566.40.0921
LBY15792802.25.100.161170.30.0828
LBY15792802.35.300.231568.70.1325
LBY15792803.15.030.21972.3L32
LBY15792803.263.80.2916
CONT.4.6054.9
LBY4191621.25.150.179
LBY4191623.15.100.208
LBY4191623.294.70.2814
CONT.4.7183.1
LBY8592066.34.300.127
LBY6491342.34.420.031086.10.0416
LBY4692200.34.380.229
LBY4692201.24.68L16
LBY4692201.44.650.1916
LBY12291371.24.75L18
LBY12291371.64.420.3010
LBY12291374.178.20.255
CONT.4.0374.3
Table 266. “CONT.”-Control; “Ave.”-Average; “% Incr.” = % increment; “p-val.”-p-value, L-p < 0.01.

The genes presented in Tables 267 and 268 below show a significant improvement in plant performance since they produced a larger leaf biomass (leaf area) and root biomass (root length and root coverage) (Table 267) and a higher relative growth rate of leaf area, root coverage and root length (Table 268) when grown under normal growth conditions, compared to control plants. Plants producing larger root biomass have better possibilities to absorb larger amount of nitrogen from soil. Plants producing larger leaf biomass have better ability to produce assimilates. The genes were cloned under the regulation of a constitutive promoter (At6669). The evaluation of each gene was performed by testing the performance of different number of events. Some of the genes were evaluated in more than one seedling analysis. This second experiment confirmed the significant increment in leaf and root performance. Event with p-value <0.1 was considered statistically significant.

TABLE 267
Genes showing improved plant performance at Normal growth
conditions under regulation of At6669 promoter
Roots Coverage
Leaf Area [cm2][cm2]Roots Length [cm]
P-%P-%P-%
Gene NameEvent #Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LBY20092754.10.888L2611.90.0122
LBY20092754.311.40.1517
LBY20092757.10.8710.042312.90.0131
LBY20092757.20.8190.031612.2L25
LBY14192564.10.9070.1028
LBY14192565.20.8080.0114
LBY14192566.30.7900.2812
CONT.0.7069.78
LGN3589043.20.7910.1414
LGN3589043.39.810.21187.62L11
LGN3589043.40.8960.032910.30.1024
CONT.0.6938.296.85
LBY7892311.413.80.18187.880.047
LBY7892312.27.770.255
LBY7892313.17.790.145
LBY3192344.17.580.293
LBY17592179.10.9680.29157.840.046
LBY17592179.30.9490.1912
LBY17592181.21.01L1913.30.16147.830.096
LBY17592181.37.650.274
LBY17592181.47.750.145
LBY14092265.17.760.285
LBY14092265.20.9710.04157.820.036
LBY14092266.17.770.135
LBY11692136.40.9580.1213
LBY11692138.61.10L30
CONT.0.84511.77.39
LGN3989931.38.070.2718
LGN3989931.40.6030.1128
LGN3490400.20.763L629.340.0637
LGN3490403.30.5680.07218.900.1430
CONT.0.4706.83
NUE388975.19.370.1826
NUE388975.29.73L317.65L14
NUE388977.10.7890.082510.10.06357.80L16
NUE388977.20.7000.19119.43L277.600.0213
NUE388977.47.210.197
LGN989186.10.7020.18119.110.1622
LGN989186.28.810.05187.77L16
LGN989187.29.44L277.160.057
LGN789181.27.200.047
LGN789183.37.390.0410
LGN789183.80.6920.29108.840.29197.280.089
LGN1489167.310.30.06387.460.0411
LGN1489168.20.6850.2799.240.01247.140.076
LGN1489168.58.730.2217
CONT.0.6307.456.71
LBY6893862.212.00.04188.200.166
LBY5293946.20.8760.2912
LBY5293946.30.9010.2715
LBY34_H293856.10.940L2013.30.05318.300.108
LBY27_H493931.40.9370.1119
LBY18392516.50.9200.031711.30.1812
LBY15992153.112.60.26248.150.266
LBY15792803.10.9630.0623
LBY14893764.38.140.265
LBY14893767.211.50.13138.110.295
LBY14893768.10.8840.1413
CONT.0.78510.27.72
LGN2689037.20.8490.2912
LGN2689037.31.04L37
LGN2689037.41.13L49
CONT.0.755
LGN4689101.113.20.11137.920.162
LGN4689101.70.9350.23127.840.233
CONT.0.83311.77.73
LGN5789064.20.8630.292112.00.03297.780.149
LGN5789065.10.9070.052710.60.2313
LGN5789067.10.8340.1617
CONT.0.7149.367.15
LGN3689044.10.8780.2211
CONT.0.791
LBY8092273.17.810.184
LBY18591497.27.740.223
LBY18591498.20.9560.0916
LBY17991545.20.9290.071212.70.09147.970.026
LBY17991545.48.11L8
LBY17991549.38.020.037
LBY17391652.10.9860.08197.720.173
LBY12192290.40.9140.0710
LBY12192291.40.9430.1714
CONT.0.82711.27.52
LGN5488206.17.940.075
LGN5488206.47.830.224
LGN5488207.17.760.293
LGN5488208.20.9630.0217
CONT.0.8207.53
LBY8092269.39.360.01207.820.039
LBY8092270.10.7840.02259.400.04217.690.087
LBY7892311.30.7040.12129.960.08287.810.079
LBY7892311.40.723L1510.20.11318.090.0413
LBY7892312.29.280.06197.990.0712
LBY7892313.59.38L217.880.0610
LBY5392414.10.6890.09109.140.04187.690.087
LBY5392418.10.6880.04107.570.266
LBY20892356.10.6800.0788.620.1111
LBY20892357.10.7500.07209.200.0518
LBY20892358.20.705L128.450.259
LBY15392249.20.779L249.510.0922
LBY15392252.28.820.12147.550.235
LBY15392253.20.7090.23139.770.02267.770.058
LBY14992246.311.30.14457.760.088
LBY14992247.30.6860.1298.680.21127.650.087
LBY12192290.30.7380.09189.44L227.930.0211
LBY12192291.40.7090.0213
LBY12192293.20.7100.0513
CONT.0.6277.777.16
LGN489075.20.7800.2514
CONT.0.682
LGN5290578.69.040.2617
LGN5290581.18.960.29167.880.155
LGN5290581.411.00.1343
CONT.7.727.53
LGN4192101.10.7680.1818
LGN4192102.10.7310.1713
LGN4192102.30.8130.0525
CONT.0.649
LGN4689101.413.20.04388.670.0710
LGN4689101.90.6980.1617
CONT.0.5949.537.91
LGN4591575.20.9260.0217
LGN4591575.30.912L157.680.194
LGN4591579.30.8870.3012
LGN4591579.40.8600.229
CONT.0.7917.39
LBY9594683.40.8940.27148.260.096
LBY9293921.21.090.013920.5L86
LBY9293923.30.9310.301919.60.06788.160.195
LBY694111.38.090.214
LBY20193925.112.40.0613
LBY14893765.18.080.274
LBY14893767.212.40.28128.160.185
LBY106_H393918.10.9270.2018
CONT.0.78611.07.80
LBY5091317.30.872L4911.1L397.740.035
LBY5091318.20.7660.1731
LBY5091319.29.310.0516
LBY2491220.610.20.04277.790.016
LBY2491221.20.7580.1130
LBY2491223.10.6800.2516
LBY2491223.37.620.044
LBY2190977.19.480.10187.760.046
LBY2190978.40.6610.14138.730.2697.540.243
LBY2190979.20.6450.1110
LBY16191292.10.6530.2112
LBY16191292.50.7220.03249.510.0919
LBY16191293.30.789L358.870.2111
LBY16191294.10.7890.023510.60.08327.650.034
LBY16191294.20.719L239.210.3015
LBY1591142.20.729L259.570.10197.640.034
LBY1591143.17.830.087
LBY1591144.20.6680.22149.730.18217.590.213
LBY1591144.30.6530.06129.280.1216
CONT.0.5848.037.35
LGN2392316.20.7810.1010
LGN2392317.20.8610.0221
CONT.0.711
LGN4889060.10.9190.0624
LGN4889061.27.380.254
CONT.0.7437.20
LGN1892466.30.9670.0621
CONT.0.797
LBY4191620.41.06L3614.1L318.130.292
LBY4191621.10.9470.0521
LBY4191623.20.9820.07258.090.282
LBY18691657.11.010.112913.20.0623
LBY18691659.11.19L5214.9L388.220.093
LBY18691659.30.996L2714.4L348.220.083
LBY18691659.40.9670.1124
LBY16691542.50.8900.0914
LBY16691544.31.170.034914.10.1232
LBY16691544.50.8960.0714
CONT.0.78210.87.96
LGN3589043.11.060.072112.3L297.770.256
LGN3589043.41.020.161710.90.2214
CONT.0.8739.537.35
LGN3391572.10.6910.04168.930.1721
LGN3391572.30.7090.0419
LGN3391574.20.6970.1217
LGN3391574.40.6710.1213
CONT.0.5967.39
LGN1892466.30.7970.2115
LGN1892468.30.8830.012712.30.1213
LGN1892468.50.8400.1321
CONT.0.69510.9
LBY18691657.10.8510.1417
LBY18691659.10.9320.012811.80.0434
LBY18691659.40.8270.0714
LBY17991549.10.910L2510.60.0320
LBY15291286.10.8660.1619
LBY15291288.27.850.065
LBY15291289.20.8610.071810.90.1324
LBY12391427.110.80.03237.850.245
LBY12391429.311.20.0926
CONT.0.7278.837.45
LBY18092578.50.9440.0612
LBY14493061.58.440.165
LBY14493061.60.9420.0412
LBY11192794.48.140.272
LBY11192797.10.9180.299
CONT.0.8428.01
LGN4791171.412.30.24127.910.262
LGN4791174.312.10.0411
LGN4791174.40.9480.25812.90.20187.810.033
CONT.0.91612.27.75
LGN4292204.10.8100.281111.70.13247.930.0210
LGN4292204.311.40.20217.820.079
LGN4292204.57.870.029
LGN4292207.17.940.1910
CONT.0.7329.447.20
LBY19192519.20.8320.1421
LBY19192523.310.90.288
LBY14493059.30.7730.0513
LBY14493061.60.846L23
LBY11192797.17.730.224
LBY11192797.37.830.126
LBY11192798.111.40.04137.970.068
CONT.0.68610.17.41
LGN4192102.30.6760.2821
CONT.0.559
NUE388975.20.4230.1513
NUE388977.16.650.1031
NUE388977.20.4500.11216.910.04366.310.248
NUE388977.50.4770.09285.860.1216
LGN989186.20.4110.08106.470.0711
LGN789181.10.4560.14226.590.0713
LGN789183.20.4400.0418
LGN1489165.30.4080.2595.870.2716
LGN1489167.30.4300.1215
LGN1489168.10.4340.1616
LGN1489168.20.4200.0813
LGN1489168.50.3980.307
CONT.0.3735.075.82
LGN192185.18.220.014
LGN192185.213.30.21158.350.026
LGN192187.18.330.035
LGN192188.11.080.261214.50.15258.200.284
CONT.0.96311.67.91
LGN489075.20.5940.02249.300.17207.280.208
CONT.0.4787.776.74
LGN4989081.31.000L3612.80.1818
LGN4989081.40.8790.0220
CONT.0.73510.8
LGN3989930.211.00.04287.700.0413
LGN3490403.411.20.2329
CONT.8.636.84
LGN5290581.17.660.205
CONT.7.27
LBY7193769.20.7140.1617
LBY7193769.30.6970.2214
LBY7193773.20.7660.042510.50.02357.520.016
LBY6893860.30.7100.05169.310.12197.450.275
LBY6893862.10.7160.10179.810.04267.530.247
LBY6893862.20.6800.151110.6L357.360.264
LBY6893862.49.680.07247.97L13
LBY6893862.59.380.0920
LBY6194019.10.7190.0918
LBY6194019.40.7800.11279.760.1025
LBY6194023.20.6980.1514
LBY694108.38.800.2413
LBY5293944.19.380.06207.280.303
LBY5293944.29.810.04267.670.189
LBY5293946.20.7590.0124
LBY593939.47.280.253
LBY593940.29.420.07217.530.087
LBY593941.30.7360.202010.10.05307.540.137
LBY593941.47.520.066
LBY4492491.28.700.2911
LBY4492492.10.6710.2110
LBY34_H293855.20.7080.1816
LBY34_H293856.19.220.17187.400.185
LBY34_H293857.10.7280.061910.40.02337.540.157
LBY34_H293857.20.7540.052310.6L357.520.026
LBY34_H293857.47.730.019
LBY21694082.210.2L307.480.266
LBY2094084.17.300.203
LBY2094087.37.440.225
LBY18192479.30.6970.1814
LBY18192480.50.7060.0915
LBY18192482.10.7540.05238.700.2611
LBY14293199.10.6900.11139.240.1218
LBY14293202.18.710.26127.360.294
LBY14293203.30.8540.014010.60.1136
LBY14293203.40.7800.012811.1L427.350.174
CONT.0.6127.817.06
LBY4191621.10.7390.22177.760.095
LBY4191621.20.7220.1714
LBY4191623.10.7370.221610.30.13167.90L7
LBY4191623.20.7470.10189.610.278
LBY17391651.20.7130.2312
LBY17391652.10.985L5511.30.0227
LBY17391652.20.7370.0916
LBY17391652.51.040.026413.8L557.830.136
LBY17391653.10.6990.2610
LBY16691542.50.9790.0254
LBY16691544.50.8650.06369.830.2610
CONT.0.6348.917.36
LBY8592066.27.910.175
LBY6491340.47.800.233
LBY6491342.27.780.233
LBY4692201.413.4L22
LBY20792157.37.910.085
LBY20792158.21.040.162214.20.11298.010.096
LBY18591497.21.030.0321
LBY18591499.21.010.031814.00.1227
LBY1792216.21.100.042914.30.0330
LBY1792216.47.860.114
LBY15592015.10.9900.071612.70.1715
LBY12291370.21.020.1320
LBY12291371.61.020.022012.40.2313
CONT.0.85111.07.57
LBY5091319.214.30.0819
LBY2491220.61.030.071813.80.07158.040.284
LBY2491221.21.110.1526
LBY2190978.413.30.1912
LBY2190979.113.50.2113
LBY2190980.11.020.161613.70.1414
LBY16191293.313.10.2310
LBY16191294.10.9750.151114.90.26258.160.185
LBY15291289.413.00.2698.060.254
LBY1591144.113.50.1613
LBY12391428.20.9440.177
LBY12391429.21.060.0820
LBY12391429.31.0000.131413.90.11168.030.283
LBY11491393.113.80.1415
LBY11491393.21.150.023113.40.2212
CONT.0.88012.07.76
LGN2489096.30.7990.122010.80.1717
CONT.0.6689.18
LGN2392316.20.9660.022611.80.0914
LGN2392317.20.8570.0712
CONT.0.76710.3
LBY9392656.10.8380.2814
LBY9392657.10.9010.232211.70.23227.810.207
LBY7692642.10.9270.012611.90.06237.560.294
LBY7692642.20.8280.1812
LBY7692642.30.8700.0318
LBY7692642.40.8290.2412
LBY7092684.21.03L3911.70.0921
LBY7092685.50.8750.10197.510.283
LBY7092685.60.8310.2813
LBY7092686.20.9490.012912.90.02347.710.066
LBY7092686.30.8330.1613
LBY22792851.10.8680.131811.00.2914
LBY22792852.210.70.1611
LBY22792852.30.8460.18157.650.105
LBY22792853.10.999L3613.5L407.840.038
LBY20992499.711.10.0915
LBY20992500.17.670.095
LBY18392516.20.8850.082011.00.14157.590.264
LBY18092578.50.9410.0628
LBY15992150.40.8390.0814
LBY15992152.10.8230.211211.00.08147.620.105
LBY15992152.20.972L32
LBY15992152.30.8610.061712.00.14247.660.065
LBY15992153.10.8930.052112.10.03267.900.069
LBY15692294.10.987L3411.70.2021
LBY15692294.20.8470.0515
LBY15692294.30.9150.052413.00.02358.07L11
LBY15692298.10.8860.06207.570.254
LBY15692298.20.9090.1623
LBY14592604.10.8370.0913
LBY14592606.210.40.298
LBY14592608.411.80.06227.840.068
CONT.0.7379.657.27
LGN4889060.17.710.264
LGN4889063.27.830.146
CONT.7.41
LGN588198.10.8190.295
CONT.0.812
LGN4791174.30.8580.08189.300.19147.640.223
LGN4791174.60.899L249.520.0517
CONT.0.7258.137.41
LGN192184.17.960.234
LGN192185.10.7890.20229.860.18217.650.167
LGN192185.20.7860.2622
LGN192187.19.860.05218.020.194
LGN192188.10.8850.04379.910.12227.430.274
CONT.0.6468.157.68
LGN4591575.31.02L5111.70.2024
LGN4591579.30.7480.1910
LGN4591579.50.8210.062111.6L237.730.205
CONT.0.6789.477.35
LBY4492491.20.7690.06167.420.117
LBY4492492.10.7300.221010.70.2015
LBY4392680.10.7480.14127.77L12
LBY18192479.30.8430.052710.60.2714
LBY18192480.50.881L3311.20.0721
LBY18192482.10.816L23
LBY16792770.40.7600.051412.70.02377.450.217
LBY16792772.20.7390.3011
LBY16792773.10.7230.309
LBY15792799.30.7910.2119
LBY15792802.20.7470.291211.20.06207.480.078
LBY15792802.30.7810.031811.10.09207.350.086
LBY15792803.10.8590.072911.10.14197.69L11
LBY15792803.20.8380.0426
CONT.0.6659.306.95
LBY5392414.10.7500.291211.70.13207.960.156
LBY5392415.112.10.26237.910.166
LBY5392416.10.8070.2520
LBY5392417.30.7770.2416
LBY5392418.18.030.047
LBY3192344.20.7720.22157.850.255
LBY3192347.20.8180.052211.60.0418
LBY20892358.40.8700.103011.80.1920
LBY20792154.10.7880.121812.10.2323
LBY20792155.10.8060.132012.00.23238.120.029
LBY20792157.30.8620.022913.40.04378.160.029
LBY20792158.20.7570.221312.20.0525
LBY17592179.30.7760.2716
LBY17592180.30.8070.1720
LBY17592181.30.8550.202713.40.03377.930.256
LBY17592181.40.9040.023511.70.23207.820.255
LBY14092265.20.8840.023213.9L42
LBY14092265.510.80.25117.740.284
LBY14092266.10.7600.2713
LBY14092268.210.90.19117.960.077
LBY11692136.30.8680.0229
LBY11692136.40.8810.193112.50.1927
LBY11692138.60.9240.023813.7L407.920.106
CONT.0.6709.797.48
LGN289029.21.060.033612.80.02407.950.216
LGN289029.50.976L2512.3L357.830.284
LGN289032.20.9350.171912.00.1631
LGN289032.30.8790.091210.70.2017
LGN289033.10.9330.091913.20.0845
CONT.0.7849.147.49
LGN5789064.20.786L289.46L487.33L19
LGN5789067.30.6650.188
CONT.0.6156.406.15
LGN4292204.30.7170.2010
LGN4292204.50.7200.1710
CONT.0.652
NUE10290004.21.010.1017
NUE10290005.10.9460.12913.20.2912
NUE10290005.30.9300.207
CONT.0.86711.9
LBY8592064.10.7640.051611.3L278.120.064
LBY8592066.30.7490.0513
LBY8592066.50.7780.05189.970.1812
LBY6491342.20.7500.1413
LBY6491342.60.7440.1313
LBY4692200.30.7930.1020
LBY4692201.20.8410.02277.990.242
LBY4692201.40.8410.022710.60.0220
LBY1792215.40.8760.1533
LBY1792216.28.000.173
LBY1792216.30.7690.031611.8L338.160.035
LBY1792216.48.050.253
LBY15592015.10.7960.0120
LBY15592016.70.8100.02239.850.18117.960.252
LBY12291371.20.7460.091310.40.14178.070.143
LBY12291371.30.7580.141510.8L228.050.153
LBY12291371.40.7230.13910.70.1920
LBY12291371.60.7320.2411
CONT.0.6618.897.80
LGN6089174.20.9280.0326
LGN6089175.30.8680.0918
LGN6089176.10.9330.082711.30.2120
LGN6089176.20.8240.211211.50.0422
CONT.0.7379.46
LBY9293921.21.090.013920.5L86
LBY9293923.30.9310.301919.60.06788.160.195
CONT.0.78611.07.80
Table 267. “CONT.”-Control; “Ave.”-Average; “% Incr.” = % increment; “p-val.” = p-value, L = p < 0.01.
TABLE 268
Genes showing improved plant performance at Normal growth
conditions under regulation of At6669 promoter
RGR Of RootsRGR Of Root
RGR Of Leaf AreaCoverageLength
GameEventP-%P-%P-%
Names#Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LBY20092754.10.09260.03281.420.0924
LBY20092754.31.350.2118
LBY20092757.10.08990.05251.510.0232
LBY20092757.20.08440.14171.450.0526
LBY14192564.10.09810.02360.7280.0715
LBY14192565.20.08360.1416
CONT.0.07221.150.631
LGN3589042.40.7050.125
LGN3589043.10.7120.236
LGN3589043.20.08250.1117
LGN3589043.31.200.22180.7270.058
LGN3589043.40.09630.02371.270.09250.7110.196
CONT.0.07031.010.672
LBY7892311.30.7070.3011
LBY7892311.41.660.13200.7080.2611
LBY17592179.10.1020.1717
LBY17592181.20.1040.03201.580.2314
LBY17592181.30.7070.2811
LBY14992245.20.09940.2614
LBY14992247.10.7310.1415
LBY14092265.20.09960.12140.7130.2612
LBY14092266.10.7700.0421
LBY14092268.20.7290.1314
LBY11692136.30.7210.1713
LBY11692136.40.09990.14150.7400.1016
LBY11692138.60.112L290.7350.1515
CONT.0.08711.390.638
LGN3989931.30.9270.2420
LGN3989931.40.05660.2321
LGN3490400.20.0757L621.090.0341
LGN3490403.30.05800.13241.030.0834
CONT.0.04670.770
NUE388975.11.120.0926
NUE388975.21.160.02300.7190.0613
NUE388977.10.08100.07251.210.02360.7450.0318
NUE388977.21.120.04260.7110.1112
LGN989186.11.080.1422
LGN989186.21.060.14190.7180.0713
LGN989187.21.120.0426
LGN1489165.30.6780.287
LGN1489167.31.220.02370.7080.1012
LGN1489168.10.6860.238
LGN1489168.21.130.05260.7110.0712
LGN1489168.51.040.2117
CONT.0.06480.8900.634
LBY6893862.21.500.1119
LBY5293946.20.09510.2314
LBY5293946.30.09960.1319
LBY34_H293856.10.1040.03251.650.0231
LBY27_H493931.40.1020.0722
LBY18392516.50.09980.0920
LBY15992153.11.570.1024
LBY15792803.10.1040.0425
LBY14893767.21.430.2513
LBY14893768.10.09370.2612
CONT.0.08331.26
LGN2689037.20.08930.1920
LGN2689037.30.112L49
LGN2689037.40.120L61
CONT.0.0747
LGN4689101.11.580.1213
LGN4689101.70.09750.22150.7230.155
LGN4689103.10.7050.232
CONT.0.08511.400.690
LGN5789064.21.460.03290.7660.0713
LGN5789065.10.09410.06311.290.2214
LGN5789067.10.08590.1420
CONT.0.07171.130.681
LGN3689044.10.09040.2511
LGN3689047.20.7700.148
CONT.0.08120.716
LBY8092273.10.7280.066
LBY18591497.20.7360.027
LBY18591498.20.09860.1916
LBY18591499.20.7380.227
LBY18591499.30.09590.26130.7350.247
LBY17991545.20.09910.16161.530.27150.7550.0910
LBY17991545.40.732L6
LBY17991547.20.7450.148
LBY17991549.10.7290.206
LBY17991549.30.7760.0313
LBY17391651.20.7640.0611
LBY17391652.10.09990.16170.7770.0213
LBY17391653.10.7400.257
LBY12192290.40.09920.02170.7430.188
LBY12192291.20.7350.296
LBY12192291.40.09820.2315
CONT.0.08521.340.690
LGN5488206.40.714L10
LGN5488207.10.730L12
LGN5488208.20.1040.02170.787L21
CONT.0.08850.650
LBY8092269.31.130.0621
LBY8092270.10.07900.03231.140.0621
LBY7892311.31.210.0329
LBY7892311.40.07380.11151.220.0330
LBY7892312.21.120.0920
LBY7892313.10.7630.2610
LBY7892313.50.07350.18141.130.06200.7820.2012
LBY5392414.10.07180.20121.100.1018
LBY5392415.11.070.2813
LBY5392418.10.07120.2211
LBY20892356.10.07060.2710
LBY20892357.10.07520.10171.110.0918
LBY20892358.20.07150.1911
LBY15392249.20.0820L271.150.0822
LBY15392252.21.070.2014
LBY15392253.20.07240.23121.180.02260.7680.2510
LBY14992246.31.38L470.7660.3010
LBY14992247.31.050.2612
LBY12192290.30.07740.05201.140.04210.7600.309
LBY12192291.40.07280.1313
LBY12192293.20.07580.0618
CONT.0.06440.9400.697
LGN489075.20.08270.2115
CONT.0.0719
LGN5290578.61.090.2518
LGN5290581.10.7720.087
LGN5290581.41.350.1246
CONT.0.9210.723
LGN4192101.10.08030.1622
LGN4192102.10.07640.1316
LGN4192102.30.08410.0528
CONT.0.0657
LGN4689101.41.620.04400.8610.0910
LGN4689101.90.07140.2416
LGN4689103.10.06730.299
CONT.0.06161.160.781
LGN4591575.20.09570.02190.7810.0211
LGN4591575.30.09250.02150.7380.245
LGN4591579.30.09200.2614
LGN4591579.40.08850.1810
CONT.0.08060.701
LBY9293921.20.1150.01372.52L890.8080.187
LBY9293923.30.09770.29162.41L81
LBY20193925.11.510.2714
LBY2094087.10.8560.0613
LBY106_H393918.10.09640.2915
CONT.0.08401.330.755
LBY5091317.30.0930L591.36L420.7730.0313
LBY5091318.10.7600.0512
LBY5091318.20.08090.0338
LBY5091319.20.06600.28121.140.11190.7440.099
LBY2491220.61.260.02300.781L15
LBY2491221.10.7390.228
LBY2491221.20.07900.0235
LBY2491223.10.06910.19181.110.2615
LBY2491223.30.7200.256
LBY2190977.11.170.09210.7760.0214
LBY2190978.40.06790.18160.7180.265
LBY2190979.20.07000.0919
LBY16191292.10.06770.2016
LBY16191292.50.07330.05251.140.12190.7310.227
LBY16191293.30.0838L431.090.30130.7180.295
LBY16191294.10.0841L431.300.02350.7390.108
LBY16191294.20.07640.01301.140.18180.7490.0610
LBY1591142.20.0781L331.180.07220.7560.0411
LBY1591143.10.06670.29140.786L15
LBY1591144.20.06930.15181.200.08240.7650.0212
LBY1591144.30.06670.21141.140.14180.7740.0114
CONT.0.05860.9640.681
LGN2392316.20.08220.1710
LGN2392317.20.09240.03230.7430.105
LGN2392318.20.7310.194
CONT.0.07490.705
LGN4889060.10.09970.0527
CONT.0.0784
LGN1892466.30.1010.0524
LGN1892468.30.7290.143
CONT.0.08170.706
LBY4191620.40.111L381.660.0232
LBY4191621.10.09860.0622
LBY4191623.20.1000.0624
LBY18691657.10.1080.02331.580.06260.7650.1910
LBY18691659.10.128L581.77L410.7780.1512
LBY18691659.30.105L291.74L380.7610.1910
LBY18691659.40.1030.04270.7880.0914
LBY16691542.50.09530.1018
LBY16691544.30.126L561.700.03360.7920.1014
LBY16691544.40.7610.1910
LBY16691544.50.09390.1316
CONT.0.08081.260.694
LGN3589043.10.1070.11211.47L30
LGN3589043.40.1050.19181.290.24140.7390.159
CONT.0.08901.130.676
LGN3391572.10.07150.06161.100.1721
LGN3391572.30.07440.0520
LGN3391574.20.07390.1120
LGN3391574.40.06840.2211
CONT.0.06180.907
LGN1892465.10.08380.2415
LGN1892466.30.08370.2315
LGN1892468.30.09280.01281.490.12140.7920.117
LGN1892468.50.08800.1621
CONT.0.07271.310.740
LBY18691657.10.08950.15190.7770.168
LBY18691659.10.1010.01351.440.02340.7820.229
LBY18691659.40.08820.1718
LBY17991545.40.7740.177
LBY17991549.10.09790.02311.290.1120
LBY17991549.30.7830.129
LBY15291286.10.09110.1322
LBY15291288.20.7930.0810
LBY15291289.20.09360.07251.330.0824
LBY12391427.11.320.07220.8070.0612
LBY12391429.31.370.0627
CONT.0.07491.080.720
LBY18092576.30.09600.2612
LBY18092578.50.09720.1413
LBY14493061.60.09560.1711
CONT.0.0859
LGN4791171.41.450.25120.6720.293
LGN4791174.20.7370.1011
LGN4791174.31.460.02120.6960.295
LGN4791174.41.520.2417
LGN4791174.60.6760.303
CONT.1.440.665
LGN4292204.11.410.14240.7050.058
LGN4292204.20.7200.3010
LGN4292204.31.380.21210.6960.126
LGN4292204.50.6970.186
LGN4292207.10.7630.1516
CONT.1.140.656
LBY19192519.20.08580.1421
LBY14493059.30.08150.2115
LBY14493061.60.09020.0327
LBY11192798.11.380.23140.7710.129
CONT.0.07101.210.707
LGN4192102.20.9890.289
LGN4192102.30.06730.2725
CONT.0.05370.910
NUE388977.10.7820.1428
NUE388977.20.04200.27180.8340.0537
NUE388977.50.04540.1228
LGN789181.10.04420.18240.6620.0422
LGN789183.20.04210.2619
LGN1489165.30.04130.30160.6020.2911
LGN1489167.30.04230.2419
CONT.0.03550.6110.542
LGN192185.21.580.22150.7390.056
LGN192185.40.7620.079
LGN192188.10.1140.20131.730.1526
CONT.0.1011.370.701
LGN489075.20.05790.01251.110.08220.6280.259
CONT.0.04620.9090.577
LGN4989081.30.104L371.560.1819
LGN4989081.40.09130.0420
CONT.0.07601.31
LGN3989930.21.290.04310.6560.1320
LGN3490403.41.300.1032
CONT.0.9820.549
LGN5290578.60.6970.147
LGN5290581.10.7120.099
CONT.0.650
LBY7193769.20.08280.1920
LBY7193769.30.07980.2916
LBY7193773.20.08740.07271.370.0435
LBY6893860.30.08090.21171.210.2220
LBY6893862.10.08140.23181.270.1226
LBY6893862.20.07910.29151.390.0337
LBY6893862.41.240.15230.7770.1810
LBY6893862.51.230.1921
LBY6194019.10.08140.2118
LBY6194019.40.08910.10291.260.1425
LBY694108.31.180.3016
LBY5293944.11.250.1323
LBY5293944.21.290.09280.7710.2610
LBY5293946.20.08510.1024
LBY593940.10.7830.1011
LBY593940.21.240.1522
LBY593941.30.08270.23201.350.05330.7610.258
LBY593941.40.7610.278
LBY34_H293855.20.08070.2717
LBY34_H293856.11.210.2419
LBY34_H293857.10.08370.14221.380.04360.7950.0913
LBY34_H293857.20.08480.13231.400.0239
LBY34_H293857.40.7800.1111
LBY21694082.21.340.0432
LBY2094087.30.8030.0514
LBY18192480.50.08170.19190.7720.2210
LBY18192482.10.08500.1223
LBY14293199.10.07920.26151.220.1721
LBY14293203.30.0999L451.430.04420.7600.298
LBY14293203.40.08650.09261.47L45
CONT.0.06891.010.704
LBY4191621.10.07680.1418
LBY4191621.20.07560.1616
LBY4191623.10.07620.16171.260.2516
LBY4191623.20.07880.0721
LBY17391651.20.07370.2313
LBY17391652.10.102L561.390.0628
LBY17391652.20.07790.0919
LBY17391652.50.109L661.70L560.8670.0217
LBY17391653.10.07450.2014
LBY16691542.50.104L60
LBY16691544.50.0933L43
CONT.0.06531.090.741
LBY8592068.30.09680.3012
LBY6491340.40.7420.307
LBY6491342.20.7620.1210
LBY4692201.41.620.0423
LBY20792155.10.09910.2414
LBY20792157.30.7520.228
LBY20792158.20.1070.08241.730.0331
LBY18591497.20.1040.07200.7530.239
LBY18591498.20.7620.1210
LBY18591499.20.1030.08191.710.0230
LBY1792216.20.1140.01321.720.0130
LBY15592015.10.1010.14161.520.1516
LBY12291370.20.1030.1219
LBY12291371.60.1030.08191.500.2113
CONT.0.08671.320.693
LBY5091319.21.680.1219
LBY2491220.60.1110.15151.600.2114
LBY2491221.20.1180.1022
LBY2190978.41.590.2813
LBY2190980.10.1110.17151.620.2015
LBY16191294.11.740.1423
LBY1591144.11.610.2314
LBY12391429.20.1160.0721
LBY12391429.30.1090.21131.610.2114
LBY11491393.11.660.16180.7810.1214
LBY11491393.20.1240.01291.600.26130.7720.2012
CONT.0.09621.410.688
LGN2489096.10.7010.054
LGN2489096.30.08160.27151.300.1618
CONT.0.07081.100.674
LGN2392316.20.1010.02281.430.08150.6790.049
LGN2392317.20.08920.06130.6760.039
CONT.0.07881.250.623
LBY9392657.10.09090.29181.410.1821
LBY9392657.41.360.3016
LBY7692642.10.09830.06271.450.1024
LBY7692642.20.08900.2715
LBY7692642.30.09700.07250.7500.187
LBY7092684.20.110L431.430.1222
LBY7092685.50.08930.2616
LBY7092686.20.09910.07281.570.04340.7490.227
LBY22792851.10.08920.2915
LBY22792852.30.08930.2815
LBY22792853.10.1060.01371.65L410.7890.0313
LBY20992499.71.360.2516
LBY18392516.20.09290.16201.330.2914
LBY18392516.41.400.20200.7620.189
LBY18392516.50.7440.286
LBY18092578.50.1010.0730
LBY15992150.40.08910.25150.7690.0810
LBY15992152.11.340.2615
LBY15992152.20.1040.0235
LBY15992152.30.08970.23161.460.11240.7550.138
LBY15992153.10.09470.12221.450.1024
LBY15692294.10.1030.02331.430.15220.7820.0512
LBY15692294.20.08800.3014
LBY15692294.30.09600.10241.580.0135
LBY15692298.10.09010.2317
LBY15692298.20.09420.1722
LBY14592608.41.440.08230.7600.159
CONT.0.07731.170.700
LGN4889060.10.7240.067
LGN4889063.10.7070.195
CONT.0.674
LGN588198.10.08320.235
LGN588201.10.6980.026
LGN588201.30.6970.106
CONT.0.08240.708
LGN4791174.30.08970.08211.140.17160.7840.027
LGN4791174.60.09250.01251.160.0418
CONT.0.07410.9800.731
LGN192184.10.7570.083
LGN192185.10.08020.23221.210.17220.7680.1410
LGN192185.20.08000.2722
LGN192187.11.200.05210.7400.026
LGN192188.10.09240.03411.220.10230.7230.223
CONT.0.06550.9900.732
LGN3391574.40.7510.255
CONT.0.717
LGN4591575.30.108L571.430.20250.7620.0914
LGN4591579.30.07600.2310
LGN4591579.50.08640.05251.40L220.7040.135
CONT.0.06891.140.669
LBY4492491.20.08250.24140.7340.0712
LBY4392680.10.7500.0314
LBY18192479.30.09220.05270.7140.309
LBY18192480.50.09690.01331.380.16230.7260.1110
LBY18192482.10.08910.0623
LBY16792770.40.08150.30121.530.04370.7270.1311
LBY15792799.30.08580.1918
LBY15792802.21.360.18210.7470.0314
LBY15792802.30.08420.19161.340.21200.7190.139
LBY15792803.10.09220.05271.330.23190.7500.0314
LBY15792803.20.08960.0723
CONT.0.07271.120.658
LBY5392414.11.420.1422
LBY5392415.11.460.1425
LBY5392416.10.08380.18250.7560.2110
LBY5392417.30.08050.2520
LBY3192344.20.07990.2619
LBY3192347.20.08450.12261.410.1621
LBY20892358.11.390.2519
LBY20892358.40.09100.06361.430.1622
LBY20792154.10.08130.21211.460.14250.7540.2110
LBY20792155.10.08230.19231.450.1424
LBY20792157.30.08730.07301.630.01390.7590.1811
LBY20792158.21.490.0727
LBY17592179.10.08260.2423
LBY17592180.30.08650.1129
LBY17592181.30.08590.17281.610.0238
LBY17592181.40.09120.05361.410.1721
LBY14092265.20.09250.03381.68L44
LBY14092266.10.07960.28190.7480.219
LBY14092268.20.7530.1610
LBY11692136.30.09000.0535
LBY11692136.40.09110.09361.530.08310.7400.278
LBY11692138.60.09610.02441.66L430.7530.2210
CONT.0.06691.170.685
LGN289029.20.1100.03361.500.0340
LGN289029.50.104L301.440.0135
LGN289032.20.09940.11241.400.1931
LGN289032.30.09090.11131.290.14210.7270.099
LGN289033.10.09650.10201.550.0945
CONT.0.08041.070.667
LGN5789064.20.0798L281.16L490.769L23
LGN5789067.30.07010.10130.6640.076
CONT.0.06220.7820.625
NUE10290004.10.7120.047
NUE10290004.20.1090.11170.7110.027
NUE10290005.10.1010.1391.610.17170.781L17
NUE10290005.30.1000.1780.743L11
CONT.0.09281.380.667
LBY8592064.10.08120.11181.37L300.7690.306
LBY8592066.30.07840.2313
LBY8592066.50.08290.09201.200.2213
LBY6491340.40.7880.128
LBY6491342.20.07940.2015
LBY6491342.60.07880.2214
LBY4692200.30.08250.1220
LBY4692201.20.08900.02290.7670.275
LBY4692201.40.09040.02311.280.0621
LBY1792214.10.7720.216
LBY1792215.40.09450.0337
LBY1792216.30.08310.08201.43L350.7800.217
LBY1792216.40.7700.226
LBY15592015.10.08470.05231.210.24140.7710.226
LBY15592016.70.08680.03261.190.25120.7710.206
LBY12291371.20.08000.14161.260.10190.7770.187
LBY12291371.30.08150.13181.320.03240.8000.0510
LBY12291371.41.290.10220.7710.266
LBY12291371.60.07780.28130.7730.256
LBY12291374.10.08000.2616
CONT.0.06911.060.727
LGN6089174.20.09780.0227
LGN6089175.30.09290.0720
LGN6089176.10.09490.12231.380.20210.7210.136
LGN6089176.20.08750.18141.380.0521
CONT.0.07711.140.696
LBY9293921.20.1150.01372.52L890.8080.187
LBY9293923.30.09770.29162.41L81
CONT.0.08401.330.755
Table 268. CONT.-Control; Ave.-Average; % Incr. = % increment; p-val. = p-value, L = p < 0.01.

The genes presented in Tables 269-272 below show a significant improvement in plant performance since they produced a larger leaf biomass (leaf area) and root biomass (root length and root coverage) (Tables 269 and 271) and a higher relative growth rate of leaf area, root coverage and root length (Tables 270 and 272) when grown under normal growth conditions, compared to control plants. Plants producing larger root biomass have better possibilities to absorb larger amount of nitrogen from soil. Plants producing larger leaf biomass have better ability to produce assimilates. The genes were cloned under the regulation of a constitutive promoter (At6669). The evaluation of each gene was performed by testing the performance of different number of events. Some of the genes were evaluated in more than one seedling analysis. This second experiment confirmed the significant increment in leaf and root performance. Event with p-value <0.1 was considered statistically significant.

TABLE 269
Genes showing improved plant performance at Low Nitrogen
growth conditions under regulation of At6669 promoter
Leaf Area [cm2]Roots Coverage [cm2]Roots Length [cm]
GeneEventP-%P-%P-%
Name#Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LGN3589043.10.394L167.470.078
LGN3589043.37.70L12
LGN3589043.40.3700.06915.2L357.69L12
CONT.0.34011.36.90
LGN3989931.30.4410.249
LGN3989931.40.467L167.050.274
LGN3490400.20.4650.1015
LGN3490403.10.4550.0413
LGN3490403.30.4800.041912.40.2624
CONT.0.40310.06.75
NUE388975.112.80.2416
NUE388975.214.1L278.11L7
NUE388977.10.4310.26414.2L287.93L5
NUE388977.213.50.05227.910.105
NUE388977.47.920.055
LGN989185.212.20.2011
LGN989186.10.4410.17712.40.2812
LGN989186.212.80.03167.980.026
LGN789183.37.950.035
LGN789183.811.80.276
LGN1489165.314.30.0329
LGN1489167.314.10.01277.710.282
LGN1489168.112.10.249
LGN1489168.215.4L397.930.015
LGN1489168.513.90.08257.920.175
CONT.0.41211.17.56
LGN2689037.20.4150.239
CONT.0.380
LGN4689101.10.441L1417.10.01218.330.024
LGN4689101.70.4330.061216.8L198.120.074
CONT.0.42816.48.03
LGN5789064.20.435L2519.6L498.350.016
LGN5789065.10.4010.091518.20.1138
LGN5789067.10.433L2518.6L418.290.065
LGN5789067.217.1L308.090.132
LGN5789067.30.3750.158
CONT.0.34813.27.90
LGN3689045.20.3890.1878.110.126
LGN3689047.114.60.27128.030.045
LGN3689047.27.830.243
CONT.0.36413.07.62
LGN5488206.40.4610.076
LGN5488207.18.210.122
CONT.0.4378.05
LGN489074.316.4L338.140.049
LGN489075.214.60.23188.020.158
CONT.12.37.45
LGN5290578.67.960.274
LGN5290581.10.3980.29515.40.03227.890.058
LGN5290581.414.30.0914
CONT.0.38312.67.66
LGN4192102.116.60.03278.29L12
CONT.13.17.39
LGN4689101.18.270.272
LGN4689101.40.3820.273
LGN4689101.90.4340.021818.80.1834
CONT.0.36914.08.07
LGN4591575.217.10.01357.970.257
LGN4591579.314.60.09158.000.137
LGN4591579.513.90.2410
CONT.12.77.47
LGN2392318.27.920.084
CONT.7.64
LGN4889060.10.3860.285
LGN4889063.20.4230.258
CONT.0.391
LGN3589043.30.4370.179
LGN3589043.48.460.203
CONT.0.4008.19
LGN3391570.40.4120.13914.80.209
LGN3391572.117.90.0232
LGN3391572.316.5L21
CONT.0.37813.6
LGN1892468.30.3900.161214.90.05348.080.0212
CONT.0.34711.17.24
LGN4791174.40.4550.166
LGN4791174.60.4650.19516.40.245
CONT.0.44315.5
LGN4292204.10.3960.031013.70.10217.760.067
LGN4292204.30.3880.10812.80.27127.520.274
LGN4292204.514.50.18287.860.098
LGN4292207.10.4270.071918.20.02608.28L14
CONT.0.35911.47.26
NUE388975.28.820.24166.310.0310
NUE388977.18.770.3015
NUE388977.29.810.02286.480.1113
NUE388977.50.4510.01269.350.16226.460.0913
LGN989186.10.4050.0313
LGN789183.20.3720.2746.010.305
CONT.0.3587.645.73
LGN192185.10.4210.234
LGN192185.28.560.083
LGN192187.18.520.092
LGN192188.10.4370.058
CONT.0.4208.48
LGN4989079.10.4310.25317.3L218.160.173
LGN4989079.315.60.209
LGN4989081.30.4630.021017.90.11268.320.165
LGN4989081.60.4400.28515.10.266
CONT.0.42014.37.95
LGN489074.30.4240.04126.480.279
LGN489074.40.4090.2586.450.158
LGN489075.110.80.06226.360.147
LGN489075.20.4510.041911.30.03296.690.0112
CONT.0.3808.835.96
LGN5290578.67.990.175
LGN5290581.114.50.24138.160.047
LGN5290581.415.20.1419
CONT.12.87.61
LGN2392316.214.10.23118.000.184
LGN2392317.28.000.134
CONT.12.77.71
LGN2489094.20.3940.255
LGN2489096.18.140.243
LGN2489096.314.30.0711
CONT.0.37412.97.88
LGN588198.10.4660.098
LGN588198.40.4950.0315
LGN588201.10.4540.25618.30.0688.540.073
LGN588201.30.4970.01158.390.152
LGN588203.20.4790.011119.50.09158.430.112
CONT.0.43116.98.26
LGN4889063.20.4400.13108.38L8
CONT.0.4027.79
LGN4791174.317.40.11188.270.174
LGN4791174.40.4510.06816.20.22108.310.054
LGN4791174.60.4290.22516.90.05158.170.192
CONT.0.41714.77.98
LGN192184.10.4290.011214.50.17218.300.046
LGN192185.10.4140.22815.2L278.170.075
LGN192185.20.4390.121414.40.23217.960.223
LGN192187.10.4190.04914.40.04208.37L7
LGN192188.10.4610.022014.00.20178.100.114
CONT.0.38512.07.80
LGN289029.50.4600.18717.10.078
LGN289032.218.6L18
LGN289033.119.00.0720
CONT.0.43015.8
LGN4591575.20.3750.181115.30.08508.03L14
LGN4591575.30.405L1913.90.12367.500.197
LGN4591579.30.3690.1997.640.089
LGN4591579.413.00.10287.530.097
LGN4591579.50.3770.141112.10.09197.680.079
CONT.0.33910.27.03
LGN3391570.48.080.203
CONT.7.84
LGN5789064.20.4180.041716.80.01817.90L17
LGN5789065.112.3L33
LGN5789066.10.4240.081812.80.05387.310.028
LGN5789067.30.3730.014
CONT.0.3599.296.77
NUE10290004.10.4160.26915.50.278
NUE10290004.216.60.18158.330.038
NUE10290005.30.4080.14718.00.09258.33L8
CONT.0.38214.47.74
LGN4292204.216.50.03198.520.144
LGN4292204.315.80.2813
LGN4292204.518.10.02308.420.182
CONT.13.98.23
LGN6089174.20.4430.27615.30.1716
LGN6089175.314.30.218
LGN6089176.10.4430.25816.20.0522
LGN6089176.20.4350.296
CONT.0.41713.2
LBY9293921.236.6L1398.93L7
LBY9293923.335.1L1298.670.074
CONT.15.38.32
Table 269. CONT.-Control; Ave.-Average; % Incr. = % increment; p-val.p-value, L-p < 0.01.
TABLE 270
Genes showing improved plant performance at Low Nitrogen
growth conditions under regulation of At6669 promoter
RGR Of RGR Of RGR Of
Leaf AreaRoots CoverageRoot Length
GeneEventP-%P-%P-%
Name#Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LGN3589042.40.7750.2211
LGN3589043.10.03190.02130.7700.0310
LGN3589043.30.7640.039
LGN3589043.41.88L360.795L13
CONT.0.02821.390.701
LGN3989931.40.04310.2112
LGN3490403.30.04560.08181.470.1725
CONT.0.03861.18
NUE388975.11.550.1915
NUE388975.21.72L280.8010.088
NUE388977.11.72L28
NUE388977.21.630.0521
NUE388977.40.8040.038
LGN989185.21.500.28120.7940.227
LGN989186.10.04140.108
LGN989186.21.560.1116
LGN1489165.31.750.0130
LGN1489167.31.700.0227
LGN1489168.21.90L410.820L10
LGN1489168.51.690.03260.7800.295
CONT.0.03831.350.742
LGN2689037.30.8660.0110
CONT.0.787
LGN4689101.10.03810.06112.080.01210.7650.018
LGN4689101.30.806L13
LGN4689101.70.03660.2372.03L190.7730.019
LGN4689103.10.7380.284
CONT.0.03431.970.711
LGN5789064.20.03450.02282.400.01490.8440.237
LGN5789065.10.02950.1492.230.11380.8580.159
LGN5789067.10.03340.06232.29L420.872L11
LGN5789067.22.11L310.864L10
LGN5789067.30.03190.0318
CONT.0.02711.610.786
LGN3689045.20.03020.1090.8370.0612
LGN3689047.11.790.25130.7840.184
LGN3689047.20.845L13
CONT.0.02771.590.750
LGN5488206.40.0409L12
LGN5488207.11.900.3070.7720.058
LGN5488208.20.799L12
CONT.0.04181.770.713
LGN489074.32.030.02350.8690.0217
LGN489075.10.8030.239
LGN489075.21.790.21190.8160.1710
CONT.1.500.740
LGN5290578.60.7710.247
LGN5290581.11.880.03220.7600.055
LGN5290581.41.760.0714
CONT.1.540.756
LGN4192099.10.7670.254
LGN4192102.12.050.03270.865L18
CONT.1.610.735
LGN4689101.10.8220.274
LGN4689101.30.03780.02140.8320.235
LGN4689101.40.03530.146
LGN4689101.90.03660.03102.270.2031
CONT.0.03321.730.793
LGN4591575.22.100.01360.830L18
LGN4591579.31.780.09150.7920.0313
LGN4591579.51.690.289
CONT.1.550.703
LGN2392317.20.839L13
LGN239238.210.8250.0211
CONT.0.745
LGN4889060.10.03320.109
LGN4889061.20.0341L12
LGN4889062.10.7880.135
LGN4889063.10.03280.068
LGN4889063.20.03480.0514
CONT.0.03410.750
LGN1892466.30.7730.0213
CONT.0.681
LGN3589043.30.03360.297
LGN3589043.40.8110.185
CONT.0.03160.773
LGN3391570.40.03660.2861.830.219
LGN3391521.72.220.0232
LGN3391572.32.04L22
LGN3391574.40.8900.196
CONT.0.03461.680.840
LGN1892466.30.7270.0911
LGN1892468.31.830.05360.798L22
LGN1892468.50.7310.2712
CONT.1.350.654
LGN4791174.20.7970.018
LGN4791174.61.980.226
CONT.1.870.731
LGN4292204.10.03220.07191.650.15200.6750.037
LGN4292204.20.7330.1016
LGN4292204.30.02960.1490.7040.2211
LGN4292204.50.03080.27131.760.10280.7220.1714
LGN4292207.10.03180.24172.23L620.805L27
CONT.0.02721.380.633
NUE388975.20.5830.1911
NUE388977.10.5870.2512
NUE388977.21.200.12290.6030.1215
NUE388977.50.04020.18201.140.26220.5890.2412
CONT.0.03340.9310.524
LGN192185.10.03640.149
LGN192185.40.8250.167
LGN192188.10.03730.0711
CONT.0.03520.773
LGN4989079.12.13L220.826L8
LGN4989079.31.920.15100.824L8
LGN4989081.30.03850.0892.190.11260.8340.0310
LGN4989081.41.970.26130.899L18
LGN4989081.61.860.237
CONT.0.03531.740.761
LGN489074.30.0418L21
LGN489074.40.03960.03150.5810.2411
LGN489075.11.310.1123
LGN489075.20.03870.08121.370.0529
CONT.0.03441.060.526
LGN5290578.60.7630.0212
LGN5290581.11.760.20150.764L13
LGN5290581.41.840.1220
CONT.1.540.678
LGN2392316.21.720.21120.7950.0310
LGN2392317.20.8090.0512
LGN2392318.10.7490.164
LGN239238.210.778L8
CONT.1.540.722
LGN2489096.10.7730.177
LGN2489096.31.740.0612
CONT.1.560.723
LGN588198.10.03980.0513
LGN588198.40.0401L140.7850.118
LGN588201.10.03880.14112.210.0690.8190.099
LGN588201.30.04330.03240.7610.105
LGN588203.20.0410L172.330.1214
CONT.0.03512.040.750
LGN4889060.10.0337L9
LGN4889061.20.03440.0811
LGN4889063.10.03410.2410
LGN4889063.20.03770.25100.7740.064
CONT.0.03440.731
LGN4791171.40.03710.235
LGN4791174.32.150.10190.8590.096
LGN4791174.40.03930.02122.010.20110.8730.048
LGN4791174.62.080.04150.8480.064
CONT.0.03521.810.812
LGN192184.10.03530.2551.780.18210.7920.244
LGN192185.11.88L280.827L8
LGN192185.20.03690.19141.780.23210.7860.133
LGN192187.10.03630.1281.760.1990.7930.064
LGN192188.10.0390L161.710.2317
CONT.0.03351.470.765
LGN289029.52.040.176
LGN289032.22.210.0215
LGN289032.30.8080.088
LGN289033.12.270.0819
CONT.1.920.745
LGN4591575.21.880.08510.833L30
LGN4591575.30.03000.04141.700.12360.748L17
LGN4591579.30.02910.26110.7090.0811
LGN4591579.41.580.10270.6990.219
LGN4591579.50.03100.07181.470.09180.6930.099
CONT.0.02621.240.639
LGN3391570.40.8130.116
LGN3391572.10.8610.0112
LGN3391572.30.8110.116
LGN339154.270.8490.0611
LGN3391574.40.8590.0212
CONT.0.768
LGN5789064.20.03410.03142.080.01810.834L17
LGN5789065.11.53L33
LGN5789066.11.570.06370.7560.036
LGN5789067.30.0333L12
CONT.0.02981.150.714
NUE10290004.11.880.1810
NUE10290004.21.990.17170.767L12
NUE10290004.30.7630.0412
NUE10290005.10.7910.0316
NUE10290005.30.03590.1092.210.07300.871L28
CONT.0.03281.700.683
LGN4292204.22.020.12200.8260.236
LGN4292204.31.930.2815
LGN4292204.52.230.02320.8470.108
CONT.1.680.781
LGN6089174.20.03890.0581.830.2714
LGN6089175.31.750.1890.7950.157
LGN6089176.11.970.06220.7800.195
LGN6089176.20.03940.2210
LGN6089177.10.7820.205
CONT.0.03681.610.743
LBY9293921.24.54L1420.9730.0121
LBY9293923.34.35L1320.8770.249
CONT.1.870.803
Table 270. CONT.-Control; Ave.-Average;% Incr. = % increment; p-val.-p-value, L-p < 0.01.
TABLE 271
Genes showing improved plan performance at Low Nitrogen growth conditions under
regulation of At6669 promoter
Leaf Area [cm2]Roots Coverage [cm2]Roots Length [cm]
P-%P-%P-%
Gene NameEvent #Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LBY18691657.10.4160.02917.50.14338.310.038
LBY18691659.116.4L257.880.122
LBY18691659.215.10.06157.950.073
LBY18691659.30.460L2019.2L468.27L7
LBY17991545.215.8L218.00L4
LBY17991545.40.4030.2668.17L6
LBY17991547.214.40.1310
LBY17991549.10.4280.151216.40.02258.32L8
LBY15291286.10.4260.031216.50.02268.200.056
LBY15291288.20.4340.011416.50.07258.170.066
LBY15291289.215.00.19148.040.034
LBY12391427.10.4300.251315.60.2019
LBY12391429.20.4180.03915.60.10198.040.094
LBY12391429.315.20.08168.28L7
LBY11491391.20.4170.109
LBY11491393.10.3950.254
CONT.0.38213.17.72
LBY20092754.10.3850.131014.90.05177.830.213
LBY20092754.30.405L16
LBY20092757.10.3980.0413
LBY20092757.20.3770.168
LBY20092758.30.4080.0816
LBY14192564.115.10.3018
LBY14192565.215.00.0817
CONT.0.35112.87.59
LBY20392839.114.60.2916
LBY20392841.215.80.14258.160.047
LBY20392842.30.4500.08108.09L6
LBY18092576.314.80.0417
LBY18092578.50.4440.20916.20.02288.26L8
LBY17792495.18.080.046
LBY17792497.37.880.253
LBY17792497.615.40.09228.14L7
LBY14493059.37.990.185
LBY14493061.416.70.03328.43L11
LBY14493061.516.90.01348.230.038
LBY14493061.614.90.2218
LBY11192794.40.4430.1688.010.075
LBY11192797.10.4700.11158.020.135
LBY11192798.18.000.085
CONT.0.40912.67.62
LBY19192519.219.00.0429
LBY19192522.10.3690.225
LBY19192523.30.4000.0114
LBY14493059.30.3740.107
LBY11192797.10.3820.169
LBY11192798.10.3710.2868.090.174
CONT.0.35114.67.74
LBY7892311.40.4250.181215.20.02228.050.184
LBY7892312.214.00.2212
LBY7892313.18.190.076
LBY7892313.515.20.1122
LBY3192344.10.4230.021115.60.19258.260.057
LBY3192345.415.80.05278.130.135
LBY3192345.60.4270.1312
LBY3192347.20.4150.2098.080.155
LBY17592179.10.4270.161216.00.03288.230.057
LBY17592179.313.90.2111
LBY17592181.20.4410.201615.90.02278.210.056
LBY17592181.313.80.28118.290.087
LBY17592181.40.4400.021615.30.04228.060.284
LBY14992245.213.90.2111
LBY14992246.314.50.18168.100.155
LBY14992247.18.130.145
LBY14092265.217.20.05378.140.136
LBY14092265.516.50.02328.140.125
LBY14092268.20.4100.0588.150.156
LBY11692136.30.4090.24815.50.12248.100.195
LBY11692136.414.60.11178.220.056
CONT.0.38012.57.72
LBY6893862.516.00.247
LBY593940.28.530.232
LBY34_H293856.116.60.2111
LBY18392516.515.90.286
LBY15992152.30.4560.22816.40.18108.560.252
LBY15992153.117.80.17198.560.232
LBY15792803.118.00.25218.590.223
LBY14893767.216.40.24108.690.164
LBY10993950.68.560.282
CONT.0.42314.98.36
LBY8092269.310.70.01437.41L15
LBY8092270.10.3560.17108.740.15176.870.037
LBY8092272.211.5L547.37L15
LBY8092273.18.880.14197.000.029
LBY18591497.10.3630.041213.0L747.44L16
LBY18591497.20.3580.151110.20.01366.920.038
LBY18591498.20.3660.021413.20.02767.64L19
LBY18591499.29.260.1124
LBY17991545.212.1L627.43L16
LBY17991545.46.810.276
LBY17991547.20.3690.291413.70.10847.350.0614
LBY17991549.19.58L286.910.128
LBY17991549.312.0L617.60L18
LBY17391651.29.690.03306.790.096
LBY17391652.10.3780.081715.00.011007.70L20
LBY17391652.20.3580.031112.6L687.070.0410
LBY17391652.30.3580.18119.59L287.11L11
LBY17391653.111.1L497.000.089
LBY15392249.20.3390.28510.40.02397.060.0510
LBY15392253.20.3580.1811
LBY12192290.30.3580.101112.2L647.60L18
LBY12192290.410.60.1441
LBY12192291.20.3630.20139.370.17257.220.1312
LBY12192291.411.00.04476.850.267
CONT.0.3237.486.42
LBY7193769.30.3680.288
LBY6893862.10.3650.30712.90.21137.750.076
LBY6893862.40.3940.07158.21L12
LBY6194019.413.50.22187.600.284
LBY6194021.413.10.1715
LBY694111.30.3820.1412
LBY5293946.20.427L2512.70.27127.810.077
LBY5293947.20.3890.02148.050.0510
LBY4492491.20.3990.04177.960.029
LBY34_H293856.10.3930.0915
LBY34_H293857.113.00.2614
LBY34_H293857.214.40.05267.750.106
LBY34_H293857.40.3740.2210
LBY21694080.30.438L2813.10.14157.970.019
LBY2094085.10.4080.062014.70.0629
LBY2094087.30.3830.06128.130.0211
LBY14293199.113.50.11197.740.186
LBY14293203.40.3860.031315.2L347.790.067
CONT.0.34111.47.30
LBY4191620.414.20.2911
LBY4191621.10.425L1615.4L208.120.292
LBY4191621.214.40.1012
LBY4191623.114.70.01148.250.274
LBY4191623.20.3930.29715.70.07238.470.016
LBY17391651.213.80.248
LBY17391652.10.4020.251018.50.01448.450.036
LBY17391652.50.4340.031818.9L48
LBY16691542.515.20.0819
LBY16691544.515.9L248.310.024
CONT.0.36612.87.96
LBY8592064.10.4550.0913
LBY8592066.20.4420.199
LBY8592066.30.468L1618.9L228.440.152
LBY8592066.50.474L17
LBY8592068.316.60.188
LBY6491340.40.4530.051216.30.1068.470.192
LBY6491342.20.454L12
LBY6491342.30.454L1216.80.279
LBY6491342.60.4340.108
LBY4692200.30.4320.07717.20.1411
LBY4692201.20.4500.0411
LBY4692201.40.454L1218.00.17178.420.132
LBY20792155.10.4670.021617.00.1710
LBY20792157.317.50.1313
LBY20792158.20.5160.012817.20.1711
LBY18591497.10.464L1517.20.3011
LBY18591497.20.478L1818.8L22
LBY18591498.20.4700.0316
LBY18591499.20.4500.051116.90.2710
LBY1792216.20.4720.081716.50.277
LBY15592015.10.4890.0221
LBY15592016.40.492L22
LBY15592016.70.466L1516.90.2110
LBY12291370.20.497L2316.70.108
LBY12291371.30.4220.305
LBY12291371.60.4750.121817.60.0814
LBY12291374.10.468L1617.80.0715
CONT.0.40415.48.27
LBY5091317.30.4070.138
LBY5091318.10.4030.247
LBY5091318.20.4520.0319
LBY5091318.40.4120.189
LBY2491220.60.4250.071217.70.02168.78L9
LBY2491221.10.4360.0215
LBY2491221.20.4720.042519.2L258.420.055
LBY2491223.20.4040.237
LBY2491223.30.4480.0118
LBY2190977.10.4150.0710
LBY2190978.40.4300.0414
LBY2190980.10.4070.11816.80.1898.300.223
LBY16191292.10.451L1916.90.2410
LBY16191292.316.50.1788.290.203
LBY16191293.30.4410.141719.00.03248.620.027
LBY16191294.18.400.084
LBY15291286.10.436L15
LBY15291287.10.469L248.270.223
LBY15291288.20.4170.1310
LBY15291289.20.4220.0111
LBY1591143.10.4320.0914
LBY1591144.20.4250.191218.30.03198.380.084
LBY1591144.30.4180.241117.10.05118.280.233
LBY12391428.217.9L178.280.203
LBY12391429.218.00.06188.260.273
LBY12391429.317.60.1015
LBY12391429.60.4310.181418.60.09228.370.194
LBY11491391.20.4340.0515
LBY11491393.118.30.0720
LBY11491393.20.4040.1478.360.164
CONT.0.37915.38.06
LBY8092269.37.640.262
LBY8092269.40.4100.091114.10.2824
LBY8092270.10.422L1514.30.02267.930.046
LBY8092272.27.770.054
LBY7892311.30.4240.07158.070.028
LBY7892311.40.4140.2512
LBY7892312.27.770.154
LBY7892313.514.50.01287.970.156
LBY5392414.113.10.16167.770.074
LBY5392418.10.4060.06108.030.027
LBY15392249.212.9L147.610.292
LBY15392252.213.30.25178.070.108
LBY14992246.30.4220.011515.7L398.33L11
LBY12192291.213.40.0818
CONT.0.36811.37.48
LBY7692642.116.30.2915
LBY7092684.216.80.1019
LBY7092685.50.4500.041517.40.11238.070.244
LBY7092686.316.10.2413
LBY22792851.10.4490.01158.230.087
LBY22792853.10.4280.3010
LBY15992152.10.4320.181116.20.1614
LBY15992153.116.80.29198.030.264
LBY15692294.115.60.2910
LBY15692294.38.200.116
LBY14592605.10.4220.238
LBY14592606.20.4330.031116.80.09188.150.135
LBY14592608.415.90.2012
CONT.0.39014.27.72
LBY9293921.236.6L1398.93L7
LBY9293923.335.1L1298.670.074
LBY694110.217.90.25178.520.272
LBY2094084.118.70.23228.710.195
LBY2094087.10.4270.258
LBY14893765.117.20.0612
LBY14893768.10.4330.159
LBY106_H393916.10.4260.24717.10.1312
LBY106_H393918.117.90.0717
CONT.0.39715.38.32
LBY5091317.315.60.04177.960.184
LBY2491221.20.4380.17716.60.05258.020.165
LBY2190980.10.4390.25815.70.2518
LBY16191294.18.090.096
LBY1591144.114.80.18118.030.125
LBY1591144.28.120.076
CONT.0.40813.37.63
LBY5392414.18.350.184
LBY5392415.10.4660.0312
LBY5392416.116.20.15178.330.143
LBY5392418.116.20.1517
LBY3192344.10.4500.20915.80.1315
LBY3192344.217.20.05248.330.073
LBY3192347.115.40.1411
LBY20892358.10.4540.1110
LBY20892358.20.4390.296
LBY20792154.116.60.2420
LBY20792155.115.70.0313
LBY20792157.30.4610.011118.80.02368.370.054
LBY20792158.20.4480.19815.10.159
LBY17592179.116.80.1421
LBY17592181.30.4620.051217.60.13278.380.074
LBY17592181.416.30.0918
LBY14092265.20.4520.08916.20.05178.390.044
LBY14092265.515.80.2614
LBY14092266.316.60.04208.300.273
LBY11692136.116.30.0918
LBY11692136.317.30.0925
LBY11692136.418.00.1230
LBY11692138.60.4390.246
CONT.0.41413.88.05
LBY18192479.315.1L32
LBY18192482.10.3450.223
LBY16792770.414.10.1824
LBY16792773.113.70.1520
LBY15792802.214.20.0624
LBY15792802.30.3890.081617.40.0753
LBY15792803.114.30.0225
LBY15792803.214.90.1030
CONT.0.33411.4
LBY4191620.419.10.02178.67L4
LBY4191621.218.90.1316
LBY4191623.20.4310.1678.450.231
LBY18691655.418.40.0513
LBY18691657.119.20.09188.80L6
LBY18691659.118.80.07158.510.262
LBY18691659.319.90.0622
LBY16691544.38.510.142
CONT.0.40416.38.33
LBY8592064.18.170.173
LBY8592066.30.3870.307
LBY8592066.516.60.07218.130.243
LBY6491340.48.130.203
LBY6491342.30.3830.2568.190.184
LBY6491342.68.100.272
LBY4692200.30.3920.198
LBY4692201.20.3950.02917.7L288.240.084
LBY4692201.40.3860.10717.80.01298.140.283
LBY1792214.18.130.233
LBY1792216.315.90.13158.160.193
LBY1792216.415.60.17148.450.017
LBY15592014.215.00.259
LBY15592015.10.3890.19714.90.2688.190.144
LBY12291371.20.3940.10915.30.1511
LBY12291371.315.40.13128.300.055
LBY12291371.40.3820.255
LBY12291371.60.3780.24416.10.1817
LBY12291374.115.40.16128.100.263
CONT.0.36213.87.90
Table 271. “CONT.”-Control. “Ave.”-Average; “% Incr.” = % increment; “p-val.”-p-value, L-p < 0.01.
TABLE 272
Genes showing improved plant performance at Low Nitrogen growth conditions under
regulation of At6669 promoter
RGR Of Leaf AreaRGR Of Roots CoverageRGR Of Root Length
P-%P-%P-%
Gene NameEvent #Ave.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LBY18691657.12.150.02330.8790.0114
LBY18691659.12.020.02250.8300.158
LBY18691659.21.870.15160.894L16
LBY18691659.30.0406L222.37L460.8710.0513
LBY18691659.40.8710.0213
LBY17991545.21.950.06200.8650.0212
LBY17991545.40.03650.149
LBY17991547.20.8310.158
LBY17991549.10.03790.07142.030.01250.8830.0215
LBY15291286.10.03630.1292.030.02250.8700.0213
LBY15291288.20.03810.02142.020.0325
LBY15291289.21.860.20150.882L15
LBY12391427.10.03880.08161.920.12190.8390.139
LBY12391429.20.03600.1381.930.07190.8540.0711
LBY12391429.30.03590.1381.870.14150.8420.139
LBY11491391.10.8280.278
LBY11491391.20.03810.0314
LBY11491393.10.03710.0611
CONT.0.03341.620.769
LBY20092754.11.780.1317
LBY20092754.30.03390.0318
LBY20092757.10.03220.1813
LBY20092758.30.03490.0322
LBY14192564.11.860.13220.834L32
LBY14192565.21.840.11210.7210.1014
LBY14192566.30.7560.0319
CONT.0.02861.520.634
LBY20392839.11.760.1418
LBY20392841.21.890.0426
LBY20392842.30.03900.0518
LBY18092576.31.780.08190.7450.297
LBY18092578.51.94L300.7560.269
LBY17792495.10.7460.287
LBY17792497.61.850.0424
LBY14493061.42.00L33
LBY14493061.52.05L360.7730.1511
LBY14493061.61.800.0920
LBY11192797.10.03980.0920
CONT.0.03311.500.695
LBY20392842.30.03550.0220
LBY19192519.22.340.0431
LBY19192523.30.03310.0612
LBY16792772.10.8090.178
LBY14493059.30.03220.128
LBY14493061.50.03180.237
LBY11192797.10.03330.0512
LBY11192798.10.03160.2660.7980.197
CONT.0.02971.790.748
LBY7892311.41.810.0721
LBY7892312.21.700.2613
LBY7892313.50.03650.15161.840.0823
LBY3192344.11.860.0824
LBY3192345.41.890.0526
LBY3192347.20.03620.1415
LBY17592179.11.930.0229
LBY17592179.31.700.2813
LBY17592181.21.920.0228
LBY17592181.41.830.0822
LBY14992246.31.750.1716
LBY14992247.10.8200.2814
LBY14092265.22.08L39
LBY14092265.51.970.0131
LBY14092268.20.8460.1618
LBY11692136.31.880.0625
LBY11692136.41.780.11190.8340.2116
CONT.0.03151.500.720
LBY20193927.10.03990.228
LBY15992152.32.090.29110.9170.067
LBY15992153.12.250.1019
LBY15792803.12.290.10210.9100.077
LBY14893768.10.9090.187
LBY10993950.10.9060.216
LBY10993950.60.9370.0210
CONT.0.03701.890.853
LBY8092269.31.27L420.6340.219
LBY8092269.40.02700.286
LBY8092270.10.02960.05161.030.1315
LBY8092272.21.37L530.6380.0710
LBY8092273.11.050.0818
LBY18591497.10.02750.1581.56L740.6550.0713
LBY18591497.20.02770.2691.22L360.6220.147
LBY18591498.20.02800.12101.57L760.6870.0118
LBY18591499.21.110.03240.6080.245
LBY18591499.31.020.30140.6340.249
LBY17991545.21.45L620.6750.0216
LBY17991547.21.67L870.7080.0322
LBY17991549.11.14L280.6420.1211
LBY17991549.31.46L630.735L27
LBY17391651.21.16L300.6640.0314
LBY17391652.11.82L1030.767L32
LBY17391652.21.51L690.6630.0414
LBY17391652.30.02980.14171.15L280.668L15
LBY17391653.11.35L510.6850.0218
LBY15392249.21.24L390.6250.258
LBY15392253.20.02810.21111.020.3014
LBY12192290.30.02930.04151.48L660.710L22
LBY12192290.41.28L430.6920.1219
LBY12192291.20.02960.11171.120.05250.6590.1314
LBY12192291.41.34L500.6840.0218
LBY12192293.20.6220.247
CONT.0.02540.8930.580
LBY7193769.30.03550.2516
LBY6893862.10.8060.2110
LBY6893862.40.0412L350.8320.1614
LBY6194019.41.810.2219
LBY6194021.41.780.2317
LBY694111.30.03620.1618
LBY5293944.10.03790.0824
LBY5293946.20.04060.01330.8410.0915
LBY5293947.20.03750.06230.8750.0320
LBY4492491.20.03880.04270.8410.0815
LBY34_H293856.10.03850.0626
LBY34_H293857.11.770.28160.8050.1810
LBY34_H293857.21.960.0429
LBY21694080.30.0420L371.790.21180.8770.0220
LBY21694082.20.03450.2913
LBY2094085.10.03560.22161.990.05310.8420.0915
LBY2094087.30.03930.02290.924L27
LBY18192480.10.8610.0418
LBY14293199.10.03670.14201.810.1819
LBY14293203.42.060.02350.7960.279
CONT.0.03061.520.730
LBY4191621.10.03790.04151.900.0621
LBY4191621.21.790.26130.8750.148
LBY4191623.11.810.1715
LBY4191623.21.950.06240.919L14
LBY17391652.12.28L450.9200.0114
LBY17391652.52.34L490.9300.0215
LBY17391653.10.8710.218
LBY16691542.51.890.10200.9120.0213
LBY16691544.30.8620.266
LBY16691544.40.8760.128
LBY16691544.51.980.04260.967L19
CONT.0.03291.570.810
LBY8592064.10.03890.0519
LBY8592066.20.03740.1414
LBY8592066.30.03620.23112.28L22
LBY8592066.50.0404L24
LBY8592068.32.030.258
LBY6491340.40.03920.0320
LBY6491342.20.03950.0221
LBY6491342.30.03660.1712
LBY6491342.60.03720.1114
LBY4692200.32.070.1711
LBY4692201.20.03780.0916
LBY4692201.40.03820.07172.190.0617
LBY4692202.10.8500.237
LBY20792155.10.03860.06182.050.229
LBY20792157.32.140.0814
LBY20792158.20.04130.03262.070.1910
LBY18591497.12.070.2211
LBY18591497.22.28L22
LBY18591498.20.03900.04200.8540.208
LBY18591499.20.03680.27132.060.2710
LBY1792216.20.03970.0522
LBY15592015.10.04060.0224
LBY15592016.40.03970.0321
LBY15592016.50.03770.1416
LBY15592016.70.03830.05172.050.249
LBY12291370.20.03960.02212.010.277
LBY12291371.20.03680.2213
LBY12291371.60.03820.14172.130.0714
LBY12291374.10.04020.01232.160.0415
CONT.0.03271.870.792
LBY5091318.20.04000.0918
LBY2491220.62.110.04160.7950.2512
LBY2491221.10.03770.2511
LBY2491221.20.04040.12192.30L27
LBY2491223.30.04040.0619
LBY2190977.10.03740.2510
LBY2190978.40.03840.1813
LBY2190980.12.000.2110
LBY16191292.10.04120.02222.010.2411
LBY16191292.31.970.2790.7910.2311
LBY16191293.32.220.0222
LBY15291286.10.03970.0617
LBY15291287.10.04040.0419
LBY15291289.20.03780.2412
LBY1591143.40.7900.2211
LBY1591144.20.03780.27122.160.0319
LBY1591144.32.040.1312
LBY12391428.22.150.03180.7820.2910
LBY12391429.22.150.0419
LBY12391429.32.130.0717
LBY12391429.62.240.0223
LBY11491391.10.7830.2210
LBY11491391.20.03890.1415
LBY11491393.12.230.03230.8450.0319
LBY11491393.22.020.24110.8270.1016
CONT.0.03381.820.711
LBY8092269.21.510.289
LBY8092269.41.720.0724
LBY8092270.10.03560.2691.74L25
LBY7892311.30.03800.08161.530.30110.7850.238
LBY7892313.51.77L28
LBY5392414.11.610.0716
LBY5392418.10.03660.12121.520.2510
LBY15392249.21.590.0615
LBY15392252.21.630.09180.7990.2310
LBY14992246.31.94L400.8470.0216
LBY12192291.21.640.0518
LBY12192291.41.650.1919
LBY12192293.20.7810.227
CONT.0.03271.390.728
LBY7692642.11.990.2915
LBY7092684.22.080.1719
LBY7092685.50.03750.18152.130.1323
LBY15992150.40.8620.1213
LBY15992152.11.980.2814
LBY15992153.12.060.2119
LBY15692294.10.8380.2410
LBY14592605.10.03650.2812
LBY14592606.20.03640.23122.050.1818
CONT.0.03251.740.762
LBY9293921.24.54L1420.9730.0121
LBY9293923.34.35L1320.8770.249
LBY694110.22.210.1818
LBY2094084.12.300.13230.8800.2310
LBY2094085.12.150.28150.9040.1013
LBY14893765.12.100.2612
LBY14893768.10.03910.3013
LBY106_H393916.12.100.3012
LBY106_H393918.12.210.17180.9050.1113
CONT.0.03471.870.803
LBY5091317.30.03870.21101.920.10190.8030.279
LBY5091318.40.03760.297
LBY2491221.22.040.0426
LBY2190979.20.8040.259
LBY2190980.11.920.1819
LBY16191294.10.03790.2670.8040.249
LBY1591144.11.810.3012
LBY1591144.20.8300.1012
CONT.0.03531.610.738
LBY5392416.12.000.12180.8410.0610
LBY5392418.11.970.1317
LBY3192344.11.920.2014
LBY3192344.22.110.0324
LBY3192347.11.880.2811
LBY20892358.10.03970.1513
LBY20792154.12.030.13200.8440.1410
LBY20792155.11.910.1513
LBY20792157.32.28L35
LBY20792158.20.03820.299
LBY17592179.12.070.07220.8190.177
LBY17592181.32.130.0326
LBY17592181.42.000.09180.8350.099
LBY14092265.20.03810.2891.960.1016
LBY14092265.51.930.1914
LBY14092266.32.030.0620
LBY11692136.12.000.09180.8090.286
LBY11692136.32.130.03260.8530.0511
LBY11692136.42.230.03320.920L20
LBY11692138.61.910.2513
CONT.0.03511.690.766
LBY18192479.31.86L350.7970.0212
LBY16792770.41.730.0626
LBY16792772.21.560.2813
LBY16792773.11.680.08220.7660.108
LBY16792773.41.550.2812
LBY15792802.21.740.02260.7500.216
LBY15792802.32.14L55
LBY15792803.11.750.02270.7590.117
LBY15792803.21.820.02320.7540.276
CONT.1.380.709
LBY4191620.42.290.0518
LBY4191621.22.320.05190.8540.0715
LBY18691655.42.260.07160.8110.2510
LBY18691657.12.320.04190.8460.1214
LBY18691659.12.270.07170.8160.2710
LBY18691659.32.410.01240.8300.2012
LBY18691659.40.8780.0319
LBY16691542.40.8760.0318
LBY16691542.50.8530.0715
LBY16691544.30.8860.0220
LBY16691544.40.8790.0319
LBY16691544.50.953L29
CONT.1.940.740
LBY8592066.20.03470.10100.8050.258
LBY8592066.31.930.23150.8240.1510
LBY8592066.52.030.0721
LBY6491340.40.8110.228
LBY6491342.30.03420.179
LBY4692200.31.910.2614
LBY4692201.22.170.01300.8210.1410
LBY4692201.42.200.01310.8360.1112
LBY1792215.40.8200.1410
LBY1792216.31.950.1616
LBY1792216.41.910.25140.8050.288
LBY15592014.20.8080.228
LBY15592015.10.03550.07130.8040.277
LBY12291371.20.03430.1991.870.2712
LBY12291371.31.900.22130.8320.0911
LBY12291374.10.03460.1510
LBY12291371.61.960.1617
LBY12291374.11.900.24130.8390.0712
CONT.0.03151.680.748
Table 272. “CONT.”-Control; “Ave”-Average; “% Incr.” = % increment; “p-val.”-p-value, L-p < 0.01.

Results from T1 Plants

Tables 273-275 summarize the observed phenotypes of transgenic plants expressing the gene constructs using the TC-T1 Assays (seedling analysis of T1 plants).

The genes presented in Tables 273-275 showed a significant improvement in plant biomass and root development since they produced a higher biomass (dry weight, Table 273), a larger leaf and root biomass (leaf area, root length and root coverage) (Table 274), and a higher relative growth rate of leaf area, and root coverage (Table 275) when grown under normal growth conditions, compared to control plants grown under identical growth conditions. Plants producing larger root biomass have better possibilities to absorb larger amount of nitrogen from soil. Plants producing larger leaf biomass have better ability to produce assimilates. The genes were cloned under the regulation of a constitutive promoter (At6669; SEQ ID NO: 10654). The evaluation of each gene was performed by testing the performance of different number of events. Some of the genes were evaluated in more than one seedling assay. This second experiment confirmed the significant increment in leaf and root performance. Event with p-value <0.1 was considered statistically significant.

TABLE 273
Genes showing improved plant performance at Normal growth
conditions under regulation of At6669 promoter
Dry Weight [mg]Fresh Weight [mg]
GeneP-% P-%
NameAve.Val.Incr.Ave.Val.Incr.
LBY9212.10.0261238.50.0339
LBY209.92L31
CONT.7.56171.3
LBY86138.10.1417
LBY1709.180.1711131.90.2412
CONT.8.26117.7
LBY9212.20.1526231.90.1037
LBY9212.60.0431212.50.1025
LBY9214.3L48262.3L55
CONT.9.66169.8
Table 273. “CONT.” = Control; “Ave.” = Average; “% Incr.” = % increment; “p-val.” = p-value, L = p < 0.01.
TABLE 274
Genes showing improved plant performance at Normal growth
conditions under regulation of At6669 promoter
Leaf Roots Roots Length
Area [cm2]Coverage [cm2][cm]
GeneP-%P-%P-%
NameAve.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LBY411.30.2115
CONT.9.88
LBY921.100.024817.40.011437.470.109
LBY68.760.1122
LBY2160.8680.241610.10.05417.840.0215
LBY200.870L169.370.0431
LBY109.550.02337.76L13
6_H3
CONT.0.7487.176.84
LBY310.60.2011
CONT.9.49
LBY920.9730.091919.60.02878.090.226
LBY921.05L2816.1L53
LBY921.16L4220.2L928.370.0510
CONT.0.81810.57.61
LGN62_0.847L4811.6L537.760.266
H2
CONT.0.5747.577.34
Table 274. “CONT.” = Control; “Ave.” = Average; “% Incr.” = % increment; “p-val.” = p-value, L = p < 0.01.
TABLE 275
Genes showing improved plant performance at Normal growth
conditions under regulation of At6669 promoter
RGR Of RGR Of RGR Of
Leaf AreaRoots CoverageRoot Length
GeneP-%P-%P-%
NameAve.Val.Incr.Ave.Val.Incr.Ave.Val.Incr.
LBY40.1030.27111.390.1916
CONT.0.09281.19
LBY920.116L622.14L1480.7950.0712
LBY61.070.0724
LBY2160.08900.05241.21L410.8260.0217
LBY200.0888L231.140.02320.7600.258
LBY101.150.01330.8010.0413
6_H3
CONT.0.07200.8630.707
LBY31.270.2413
CONT.1.13
LBY920.09800.21152.41L880.8490.2512
LBY920.1060.04241.97L54
LBY920.121L412.48L940.8790.1116
CONT.0.08551.280.755
LGN62_0.0847L481.41L550.7980.0612
H2
CONT.0.05730.9090.711
Table 275. “CONT.”-Control; “Ave.”-Average; “% Incr.” = % increment; “p-val.” = p-value, L = p < 0.01.

Assay 1: Nitrogen Use efficiency measured plant biomass and yield at limited and optimal nitrogen concentration under greenhouse conditions until heading—This assay follows the plant biomass formation and growth (measured by height) of plants which are grown in the greenhouse at limiting and non-limiting (e.g., normal) nitrogen growth conditions. Transgenic Brachypodium seeds are sown in peat plugs. The T1 transgenic seedlings are then transplanted to 27.8×11.8×8.5 cm trays filled with peat and perlite in a 1:1 ratio. The trays are irrigated with a solution containing nitrogen limiting conditions, which are achieved by irrigating the plants with a solution containing 3 mM inorganic nitrogen in the form of NH4NO3, supplemented with 1 mM KH2PO4, 1 mM MgSO4, 3.6 mM KCl, 2 mM CaCl2 and microelements, while normal nitrogen levels are achieved by applying a solution of 6 mM inorganic nitrogen also in the form of NH4NO3 with 1 mM KH2PO4, 1 mM MgSO4, 2 mM CaCl2, 3.6 mM KCl and microelements. All plants are grown in the greenhouse until heading. Plant biomass (the above ground tissue) is weighted right after harvesting the shoots (plant fresh weight [FW]). Following, plants are dried in an oven at 70° C. for 48 hours and weighed (plant dry weight [DW]).

Each construct is validated at its T1 generation. Transgenic plants transformed with a construct conformed by an empty vector carrying the BASTA selectable marker are used as control (FIG. 9B) or with a construct conformed by an empty vector carrying the BASTA and Hygromycin selectable marker (FIG. 13, pQ6sN)).

The plants are analyzed for their overall size, fresh weight and dry matter. Transgenic plants performance is compared to control plants grown in parallel under the same conditions. Mock-transgenic plants with no gene and no promoter at all, are used as control (e.g., FIGS. 9B and 13).

The experiment is planned in blocks and nested randomized plot distribution within them. For each gene of the invention five independent transformation events are analyzed from each construct.

Phenotyping

Plant Fresh and Dry shoot weight—In Heading assays when heading stage has completed (about day 30 from sowing), the plants are harvested and directly weighed for the determination of the plant fresh weight on semi-analytical scales (0.01 gr) (FW) and left to dry at 70° C. in a drying chamber for about 48 hours before weighting to determine plant dry weight (DW).

Time to Heading—In both Seed Maturation and Heading assays heading is defined as the full appearance of the first spikelet in the plant. The time to heading occurrence is defined by the date the heading is completely visible. The time to heading occurrence date is documented for all plants and then the time from planting to heading was calculated. It should be noted that a negative increment (in percentages) when found in time to heading indicates potential for drought avoidance.

Leaf thickness—In Heading assays when minimum 5 plants per plot in at least 90% of the plots in an experiment have been documented at heading, measurement of leaf thickness is performed using a micro-meter on the second leaf below the flag leaf.

Plant Height—In both Seed Maturation and Heading assays once heading is completely visible, the height of the first spikelet is measured from soil level to the bottom of the spikelet.

Tillers number—In Heading assays manual count of tillers is preformed per plant after harvest, before weighing.

These results demonstrate that the polynucleotides of the invention are capable of improving yield and additional valuable important agricultural traits such as increase of biomass, abiotic stress tolerance, nitrogen use efficiency, yield, vigor, fiber yield and/or quality. Thus, transformed plants showing improved fresh and dry weight demonstrate the gene capacity to improve biomass, a key trait of crops for forage and plant productivity; transformed plants showing improvement of seed yield demonstrate the genes capacity to improve plant productivity; transformed plants showing improvement of plot coverage and rosette diameter demonstrate the genes capacity to improve plant drought resistance as they reduce the loss of soil water by simple evaporation and reduce the competition with weeds; hence reduce the need to use herbicides to control weeds. Transformed plants showing improvement of relative growth rate of various organs (leaf and root) demonstrate the gene capacity to promote plant growth and hence shortening the needed growth period and/or alternatively improving the utilization of available nutrients and water leading to increase of land productivity; Transformed plants showing improvement of organ number, as demonstrated by the leaf number parameter, exhibit a potential to improve biomass and yield important for forage and plant productivity; Transformed plants showing increased root length and coverage demonstrate the gene capacity to improve drought resistance and better utilization of fertilizers as the roots can reach larger soil volume; Transformed plants showing improvement of leaf petiole relative area and leaf blade area demonstrate the genes capacity to cope with limited light intensities results from increasing the plant population densities and hence improve land productivity.

Assay 2: Nitrogen Use efficiency measured plant biomass and yield at limited and optimal nitrogen concentration under greenhouse conditions until Seed Maturation—This assay follows the plant biomass and yield production of plants that were grown in the greenhouse at limiting and non-limiting nitrogen growth conditions. Transgenic Brachypodium seeds are sown in peat plugs. The T1 transgenic seedlings are then transplanted to 27.8×11.8×8.5 cm trays filled with peat and perlite in a 1:1 ratio. The trays are irrigated with a solution containing nitrogen limiting conditions, which are achieved by irrigating the plants with a solution containing 3 mM inorganic nitrogen in the form of NH4NO3, supplemented with 1 mM KH2PO4, 1 mM MgSO4, 3.6 mM KCl, 2 mM CaCl2 and microelements, while normal nitrogen levels are achieved by applying a solution of 6 mM inorganic nitrogen also in the form of NH4NO3 with 1 mM KH2PO4, 1 mM MgSO4, 2 mM CaCl2, 3.6 mM KCl and microelements. All plants are grown in the greenhouse until seed maturation. Each construct is validated at its T1 generation. Transgenic plants transformed with a construct conformed by an empty vector carrying the BASTA selectable marker are used as control (FIG. 9B) or with a construct conformed by an empty vector carrying the BASTA and Hygromycin selectable marker (FIG. 13).

The plants are analyzed for their overall biomass, fresh weight and dry matter, as well as a large number of yield and yield components related parameters. Transgenic plants performance is compared to control plants grown in parallel under the same conditions. Mock-transgenic plants are with no gene and no promoter at all. The experiment is planned in blocks and nested randomized plot distribution within them. For each gene of the invention five independent transformation events are analyzed from each construct.

Phenotyping

Plant Fresh and Dry vegetative weight—In Seed Maturation assays when maturity stage has completed (about day 80 from sowing), the plants are harvested and directly weighed for the determination of the plant fresh weight (FW) and left to dry at 70° C. in a drying chamber for about 48 hours before weighting to determine plant dry weight (DW).

Spikelets Dry weight (SDW)—In Seed Maturation assays when maturity stage has completed (about day 80 from sowing), the spikelets are separated from the biomass, left to dry at 70° C. in a drying chamber for about 48 hours before weighting to determine spikelets dry weight (SDW).

Grain Yield per Plant—In Seed Maturation assays after drying of spikelets for SDW, spikelets are run through production machine, then through cleaning machine, until seeds are produced per plot, then weighed and Grain Yield per Plant is calculated.

Grain Number—In Seed Maturation assays after seeds per plot are produced and cleaned, the seeds are run through a counting machine and counted.

1000 Seed Weight—In Seed Maturation assays after seed production, a fraction is taken from each sample (seeds per plot; ˜0.5 gr), counted and photographed. 1000 seed weight is calculated.

Harvest Index—In Seed Maturation assays after seed production, harvest index is calculated by dividing grain yield and vegetative dry weight.

Time to Heading—In both Seed Maturation and Heading assays heading is defined as the full appearance of the first spikelet in the plant. The time to heading occurrence is defined by the date the heading is completely visible. The time to heading occurrence date is documented for all plants and then the time from planting to heading was calculated.

Leaf thickness—In Heading assays when minimum 5 plants per plot in at least 90% of the plots in an experiment have been documented at heading, measurement of leaf thickness is performed using a micro-meter on the second leaf below the flag leaf.

Grain filling period—In Seed Maturation assays maturation is defined by the first color-break of spikelet+stem on the plant, from green to yellow/brown.

Plant Height—In both Seed Maturation and Heading assays once heading is completely visible, the height of the first spikelet is measured from soil level to the bottom of the spikelet.

Tillers number—In Heading assays manual count of tillers is preformed per plant after harvest, before weighing.

Number of reproductive heads per plant—In Heading assays manual count of heads per plant is performed.

Statistical analyses—To identify genes conferring significantly improved tolerance to abiotic stresses, the results obtained from the transgenic plants are compared to those obtained from control plants. To identify outperforming genes and constructs, results from the independent transformation events tested are analyzed separately. Data is analyzed using Student's t-test and results are considered significant if the p value is less than 0.1. The JMP statistics software package was used (Version 5.2.1, SAS Institute Inc., Cary, N.C., USA).

Although the invention has been described in conjunction with specific embodiments thereof, it is evident that many alternatives, modifications and variations will be apparent to those skilled in the art. Accordingly, it is intended to embrace all such alternatives, modifications and variations that fall within the spirit and broad scope of the appended claims.

All publications, patents and patent applications mentioned in this specification are herein incorporated in their entirety by reference into the specification, to the same extent as if each individual publication, patent or patent application was specifically and individually indicated to be incorporated herein by reference. In addition, citation or identification of any reference in this application shall not be construed as an admission that such reference is available as prior art to the present invention. To the extent that section headings are used, they should not be construed as necessarily limiting.

LENGTHY TABLES
The patent contains a lengthy table section. A copy of the table is available in electronic form from the USPTO web site (https://seqdata.uspto.gov/?pageRequest=docDetail&DocID=US10975383B2). An electronic copy of the table will also be available from the USPTO upon request and payment of the fee set forth in 37 CFR 1.19(b)(3).
Isolated polynucleotides, polypeptides and methods of using same for increasing abiotic stress tolerance, biomass and yield of plants (2024)
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