Download or read book Grain Yield Stability Genetic Gain and Path Coefficient Analyses in Advanced Soybean Glycine Max L Merr Lines written by Chibanda Mwila and published by . This book was released on 2017 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Genotype by Environment Interaction Genetic Variability and Path Analysis for Grain Yield in Elite Soybean glycine Max L Merrill Lines written by Bubala Mwiinga and published by . This book was released on 2018 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Soybean Genetics Newsletter written by and published by . This book was released on 1983 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Genetics Genomics and Breeding of Soybean written by Kristin Bilyeu and published by CRC Press. This book was released on 2016-04-19 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: The soybean is an economically important leguminous seed crop for feed and food products that is rich in seed protein (about 40 percent) and oil (about 20 percent); it enriches the soil by fixing nitrogen in symbiosis with bacteria. Soybean was domesticated in northeastern China about 2500 BC and subsequently spread to other countries. The enormous
Download or read book Genetic and Genomic Analyses for Improvement of Soybean Yield written by Benjamin Bruce Stewart-Brown and published by . This book was released on 2018 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: PI 416937 is a Japanese plant introduction which has been utilized in the development of many high yielding lines over the past ~20 years. Nine genomic regions were identified from this PI under positive selection while 17 genomic regions were identified under negative selection. These genomic regions were not significantly associated with yield across replicated yield trials, but a methodology was illustrated for identifying regions under selection for yield and utilizing these regions for incorporation of beneficial diversity. Genomic selection is a strategy for modeling allelic effects across an entire genome to increase the rate of genetic gain for quantitative traits. Implementation of genomic selection for prediction of yield as well as higher heritability traits such as protein and oil content was investigated in soybean. There appeared to be an inflation in predictive ability due to population structure when performing cross-validation. Larger training sets, higher heritability traits, and closer genetic relationships between training and validation sets improved prediction while marker density had little effect. Light-tawny pubescence has been hypothesized to be related to improving yield as this phenotype has been hypothesized to increases light reflectance in the leaf canopy which reduces canopy temperature and plant stress, thus increasing yield potential. QTL mapping and GWAS were used to map and pinpoint the Td locus, but yield trials failed to validate a significant yield advantage associated with the light-tawny phenotype. G13-6299 is a recently released germplasm line from the UGA Soybean Breeding Program which contains 19% exotic pedigree, possesses nematode resistance and desirable agronomic characteristics, and is high yielding. This line was developed for utilization by breeders in order to increase grain yield via the incorporation of beneficial exotic yield alleles.
Download or read book Studies on Stability Genetic Variability Correlation and Path Analysis Under Six Sowing Dates for Yield and Yield Components in Soybean Glycine Max L Merrill written by RAJANNA M. P and published by . This book was released on 1989 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Genetics Abstracts written by and published by . This book was released on 1989 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Stability Analysis for Yield and Yield Component Characters in Soybean Glycine Max L Merrill written by V. Saida Naik and published by . This book was released on 2008 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Correlation and Path Coefficient Analyses in Soybean Glycine Max L Merrill written by Rattan Singh and published by . This book was released on 1977 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Stability Analysis for Yield and Yield Component Characters in Soybean Glycine Max L Merrill written by V. Saida Naik and published by . This book was released on 2008 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Agronomy Abstracts written by and published by . This book was released on 1985 with total page 1238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes abstracts of the annual meetings of the American Society of Agronomy; Soil Science Society of America; Crop Science Society of America ( - of its Agronomic Education Division).
Download or read book Using Advanced Proximal Sensing and Genotyping Tools Combined with Bigdata Analysis Methods to Improve Soybean Yield written by Mohsen Yoosefzadeh Najafabadi and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Improving yield potential in major food-grade crops such as soybean (Glycine max L.) is the most sustainable way to address the growing global food demand and its security concerns. Selections for high-yielding cultivars have been mainly focused on the yield performance per se but not necessarily on secondary related-traits associated with yield. Recent substantial advances in proximal sensing have provided plant breeders with affordable and efficient tools for evaluating a large number of genotypes for important agronomic traits, including yield, at early growth stages. Nevertheless, the implementation of large datasets generated by proximal sensing such as hyperspectral reflectance in cultivar development programs is still challenging due to the essential need for intensive knowledge in computational and statistical analyses. Therefore, this thesis was aimed to: (1) investigate the potential use of soybean hyperspectral reflectance, hyperspectral reflectance indices (HVI), and yield components such as number of nodes (NP), number of non-reproductive nodes (NRNP), number of reproductive nodes (RNP), and number of pods (PP) per plant for predicting the final seed yield using different machine learning (ML) algorithms, (2) select the top-ranking hyperspectral reflectance and HVI in predicting soybean yield and fresh biomass (FBIO) using recursive feature elimination (RFE) strategy, (3) implement genetic optimization algorithm and the improved version of the strength Pareto evolutionary algorithm 2 (SPEA2) to optimize yield components and HVI for maximizing soybean seed yield and FBIO, and (4) study the genetics of soybean yield and its secondary related-traits in order to discover genomic regions underlying the traits by using genome-wide association study (GWAS). In this study, different ML algorithms such as ensemble stacking (E-S), ensemble bagging (EB), and deep neural network (DNN) were tested to evaluate their efficiency in predicting soybean yield and FBIO production using a panel of 250 genotypes evaluated in four environments. Also, for the first time, we implemented ML algorithms in GWAS to detect the associated QTL with soybean yield components. The results of this study may provide a perspective for geneticists and breeders regarding the use of ML algorithms in phenomics and genomics that will result in the selection of superior soybean genotypes.
Download or read book Agrindex written by and published by . This book was released on 1994 with total page 780 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Characterization of Physiological Parameters in Soybean with Genetic Improvement in Seed Yield written by Nathan R. Keep and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent results from a genetic gain study have illustrated the contribution of plant breeding to the improvement in seed yield of soybean (Glycine max (L.) Merr.). The objective of this research was to characterize the changes in several physiological parameters that have occurred in the released cultivars with improvement of seed yield. Sixty maturity group III and 54 maturity group IV cultivars, released from the 1920's through 2010, were evaluated in dryland and irrigated environments at Manhattan, KS in 2010 and 2011. Genotypes were planted in four-row plots, 3.4 m long, spaced 76 cm apart, arranged in a randomized complete block design with four replications. Genotypes were evaluated for canopy temperature, leaf chlorophyll content, pollen germination, leaf chlorophyll fluorescence, leaf antioxidants, and yield components. Canopy temperature measurements were captured between 1000h and 1400h using an infrared camera multiple times from R1 continuing through R6. Leaf chlorophyll content was measured using a SPAD meter several times from R1 through R6. In vitro pollen germination was measured using incubation temperatures of 28 and 34°C, beginning at late R1 through the end of flowering. Leaf chlorophyll fluorescence was measured beginning at R1 through R6. Leaf antioxidants were analyzed for total antioxidant capacity and electrolyte leakage by collecting leaves from the top 3rd to 5th trifoliate at R4 and R6. Yield components were analyzed from a hand harvested 0.33 m section of one border row. Genotypes differed significantly for canopy temperature, leaf chlorophyll content, pollen germination, and yield components. No significant differences were found for leaf chlorophyll fluorescence or leaf antioxidants. Seed yield increased with year of release. Canopy temperature was negatively correlated and leaf chlorophyll content was positively correlated with year of release in both maturity groups. No significant correlation with year of release was found for in vitro pollen germination or electrolyte leakage. Leaf chlorophyll fluorescence, yield components, and total antioxidant capacity was positively correlated in the maturity group IV genotypes with year of release. Evaluation of these parameters may serve as a basis to select for seed yield, or to assess the abiotic stress tolerance of a genotype.
Download or read book Evaluation of Soybean Glycine Max L Merr Lines for Grain Yield and Drought tolerance written by Thubelihle Lungelo Mathonsi and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Indian Journal of Agricultural Sciences written by and published by . This book was released on 1931 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Genomic Regions Involved in Seed Protein Oil and Carbohydrate Concentration in Soybean written by Samantha J. McConaughy and published by . This book was released on 2017 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybeans [Glycine max (L.) Merr.] are processed for their high-quality vegetable oil and protein meal for feed, food, and industrial applications but, because of the high negative correlations between seed protein and oil concentration, it has been difficult to develop soybean lines with concomitant increases in both protein and oil. Previous studies considered only seed protein or oil concentration. This study is unique in that populations were developed using parental lines that differed in their protein, oil, and total carbohydrate concentrations in the mature seed. Two soybean populations were developed using soybean accession PI 547827 with lower total sugars as a common parent, crossed to two different soybean lines with modified protein and oil concentrations. The objectives were to identify quantitative trait loci (QTL) related to seed protein, oil, and carbohydrate concentration as well as for individual sugars sucrose, raffinose, and stachyose. For each of the two crosses, F4-derived recombinant inbred lines (RIL) were developed through single seed descent resulting in 526 and 404 RILs, respectively. Genotypes were determined for F4 plants by genotyping-by-sequence (GbS), resulting in 1,650 to 2,850 polymorphic SNPs used for QTL analyses. Populations were grown in an augmented design in two Nebraska and one Puerto Rico environment to evaluate seed composition, yield, and maturity. The QTL analyses identified 23 novel QTL across all seed composition traits, protein, oil, sum(p+o) or carbohydrate concentration, and each of the sugars on 17 different linkage groups. Ninety nine percent of the lines in the high protein cross, and 100% of the lines in the high oil cross exceeded processor targets of 11 pounds of oil per bushel and a soybean meal with greater than 47.5% protein. Correlations between yield and the sum(p+o) were either zero or slightly positive, indicating that it should be possible to identify high-yielding lines with increased seed protein and oil concentration. Populations like these, and the QTL identified here, will be useful in achieving those objectives to provide more value for both the processor and producer.
