![]() ![]() The world with projected area of soybean is 14.6 million ha and 10.4 per cent world share byĢ030. It is a source for many processed foods and India ranks fifth in Soybean (Glycine max) is one of the most valuable crops in the world not only as an oil seedĬrop and feed for livestock and aquaculture, but also as a good source of protein for the humanĭiet and as a biofuel feedstock. Grain crops soybean growth and development are also influenced by temperature. Excess rainfall is likely to result in significantly lower the yields as is true for other Pradesh, Maharashtra, and Rajasthan is raising major concerns to the growth and productivity The early andĪbundant rainfall has boosted area however, the continued excessive rainfall in Madhya Logging in soyabean leading to stunted growth and nitrogen deficiency. ![]() Withdrawal of monsoon leads to in water stress during pod filling stage of soybean. Rains in September, during pod-filling, areĬritical for the soybean crop, and lack of rain can lead to 50 per cent yield loss. Moisture stressĭue to swings in the continuity of monsoons is likely to continue to adversely affect soybeanĭevelopment and growth at critical growth periods. Maximum yield and after 7 July causes reduction in seed yield 40 kg/ha/day. The planting soybean in the last week of June results in Quickly if grown under condition where the day length is less than 14 hours provided that ![]() Most of the varieties will flower and mature Day length is the key factor in soybean as they are shortĭay plant and are sensitive to photo periods. The minimum temperature for effective growth is about 10OC and lower Will be offset by increases in temperature, which will significantly reduce the grain yield due toĪccelerated development and early flowering, and thus decreased time for grain weightĪccumulation. IncreasingĬO2 levels will increase productivity, due to increase in photosynthesis. Climatic change is to have substantial impact on soybean production. Irrigation, amounts of solar radiation that affect plant growth, as well as the prevalence of pestsĪnd diseases. We conclude that the comparative RNA-Seq approach can be optimized with sufficient sampling and by utilizing a post hoc correction accounting for gene density variation that controls for false discoveries.Ĭlimate change can affect crop yields by impacting agricultural inputs such as water for Furthermore, we attempted to optimize the comparative RNA-Seq approach by assessing the impact of sequence depth, SNP identification methodology, and post hoc analyses on SNP discovery rates. We applied the comparative RNA-Seq method to map genetic introgressions in an additional pair of NILs exhibiting differential seed protein content. The comparative RNA-Seq approach offers several additional advantages, including the greatest mapping resolution, marker depth, and de novo marker utility for downstream fine-mapping analysis. We used these methods to map the introgressed regions in an iron-inefficient soybean NIL and found that the three mapping approaches are complementary when utilized in combination. Here, we compare some existing and emerging methodologies for genetic introgression mapping: single-feature polymorphism analysis, Illumina GoldenGate single nucleotide polymorphism (SNP) genotyping, and de novo SNP discovery via RNA-Seq analysis of next-generation sequence data. The development of new molecular platforms promises to accelerate the mapping of genetic introgressions in these materials. Near-isogenic lines (NILs) are valuable genetic resources for many crop species, including soybean (Glycine max). ![]()
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