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 Genetic Variability and Path Analysis for Some Physiological and Yield Contributing Characters in Soybean Glycine Max L Merrill written by DAYA RANI M and published by . This book was released on 1985 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 Association of Genotype X Environment Interactions with Performance Level of Soybean Lines in Preliminary Yield Tests written by Achmad Baihaki and published by . This book was released on 1975 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Use of Molecular Markers Agronomical and Related Attributes on Diversity Analysis of Soybean Glycine Max Genotypes written by Keitumetse Kujane and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybean (Glycine max (L.) Merrill) is one of the most important leguminous crops grown globally for food, oil and animal feed. It is undoubtedly of a great economic and social importance worldwide. Soybean provides about 64 percent of the world’s oilseed meal supply and is the major source of oil, accounting for about 28 percent of total production. Studies have revealed that South Africa is the leading producer of soybean in Africa and very few small-holder farmers practice soybean production. The characterisation of diverse soybean genotypes using agronomic, molecular markers and nutritional quality traits have not been fully utilised in order to achieve breeding, conservation and management goals. The objectives of the study were to: (i) determine the presence of genetic diversity among the soybean genotypes using agro-morphological traits; (ii) assess the level of genetic diversity present among the soybean genotypes using nutritional quality traits; and (iii) to determine the presence of genetic diversity among the soybean genotype making use of simple sequence repeat (SSR) markers. Thirty soybean genotypes were randomly selected from the Agricultural Research Council-Grain Crop (ARC) gene bank and were grown in a growth chamber until they reached the 4th leaf stage. The leaves were then collected and freeze-dried, then subjected to genotyping using 20 polymorphic SSR markers. The SSR analysis revealed extensive variation among the soybean genotypes. The genotypes Santa Rosa and PR 165-52 had the closest distance (similarity), whereas B 66 S 31, 69 S 7 and R-5-4-2 M showed the highest dissimilarity index. The number and size of alleles rangedfrom 4 to 22bp and 2 to 33bp, respectively. The polymorphic information content (PIC) variedbetween 0.46 and 0.85; while the heterozygosity data points ranged between 0.50 and 0.87.The second trial was carried out with 30 single lines of soybean of 3m each in row lengthwere planted in a non-controlled environment and replicated 3 times using a completerandomized block design. The soybean genotypes were subjected to characterization usingagro-morphological traits. Principal component analysis revealed that the three mostimportant components contributed 21.3%, 14.9% and 9.1% to the total variation in the fieldtrial where 30 lines of soybean were evaluated for agro-morphological traits and nutritional quality. The traits that contributed most to the variation were pod weight before threshing, number of branches per plant, pod number per plant, and yield per plant. These were further analysed for nutritional quality using near-infrared spectroscopy (NIR). The genotypes that had a higher protein and oil contents were Columbia M8A (37.54%) and B 66 S 256 (17.83%). Overall, the study found considerable levels of genetic variability among the soybean germplasm found at the Agricultural Research Council-Grain Crop gene bank using agro-morphological, SSR markers and nutritional quality traits. The selected lines should be useful for future breeding programmes while the knowledge of the genetic diversity can be used to direct efforts to conserve the diversity of soybean germplasm present locally and globally.
Download or read book Analysis of Genetic Variability and Formulation of Selection Indices for Yield in Soybean Glycine Max L Merrill written by LAKSHMINARAYANA RAO N. A and published by . This book was released on 1973 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Studies on Genetic Variability and Inter relationship Morphological Seed Yield and Nitrogen Fixation Traits in Early and Late Maturing Genotypes of Soybean Glycine Max l Merrill written by NEHRU S. D and published by . This book was released on 1989 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Genetic Variability for Drought Tolerance and Agronomic Traits Contributing to Seed Yield in Soybean Glycine Max L Merrill written by N. P. Arunakumar and published by . This book was released on 2008 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Genetic Diversity for Restriction Fragment Length Polymorphism RFLP Markers Within Soybean Glycine Max L Merr Germ Plasm and Its Use as a Selection Criterion for Parents in a Breeding Program written by Theodore James Kisha and published by . This book was released on 1996 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Genetic Variability and Selection Indices for Physiological and Agronomic Traits Contributing to Seed Yield in Soybean Glycine Max L Merrill written by S.Vimala Devi and published by . This book was released on 1993 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Bibliography of Agriculture written by and published by . This book was released on 1978 with total page 1276 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Genetic Variability Correlations and Path Analysis of Some Quantitative Characters in Soybean Glycine Max L Merril written by PATIL M. G and published by . This book was released on 1986 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Studies on Variability Correlation and Path Analysis in Soybean Glycine Max L Merrill Germplasms written by P. L. Gautam and published by . This book was released on 1970 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Genetics and Genomics of Soybean written by Gary Stacey and published by Springer Science & Business Media. This book was released on 2008-05-07 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybean genomics is of great interest as one of the most economically important crops and a major food source. This book covers recent advances in soybean genome research, including classical, RFLP, SSR, and SNP markers; genomic and cDNA libraries; functional genomics platforms; genetic and physical maps; and gene expression profiles. The book is for researchers and students in plant genetics and genomics, plant biology and pathology, agronomy, and food sciences.
Download or read book Quantitative Trait Loci for Soybean Seed Yield in Elite and Plant Introduction Germplasm written by Matthew David Smalley and published by . This book was released on 2002 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic improvement for yield in soybean [Glycine max (L.) Merrill] has been accomplished by breeding within a narrow elite gene pool. Plant introductions (PIs) may be useful for obtaining additional increases in yield if unique and desirable alleles at quantitative trait loci (QTL) can be identified. The objectives of the study were to identify QTL for yield in elite and PI germplasm and to determine if the PIs possessed favorable alleles for yield. Allele frequencies were measured with simple sequence repeat (SSR) markers in three populations that differed in their percentage of PI parentage. AP10 had 40 PI parents, AP12 had 40 PI and 40 elite parents, and AP14 had 40 elite parents. Four cycles of recurrent selection for yield had been conducted in the three populations. Nei's genetic distance indicated that AP10, AP12, and AP14 remained distinct through cycle 4 (C4), but that the genetic diversity narrowed within each population. Less gametic phase disequilibrium (GPD) was observed in the parents used to form the cycle 0 (C0) populations than in C4 of AP12 and AP14. Allele frequencies of the highest-yielding C4 lines in the three populations were compared with the parents used to form the populations of the initial cycles. Allele flow was simulated to account for genetic drift. Ninety-two SSRs were associated with 56 yield QTL. Nine of the QTL had been identified in previous research. Thirty-three favorable marker alleles were unique to the PI parents. The restriction of alleles from the 40 C0 parents to the 20 cycle 1 (C1) parents of AP10 was reflected in the number of alleles that had frequency changes and could explain the reduced genetic variance for yield in the C4 of AP10. Genetic asymmetry may account for the different genetic gain for yield that had been observed between AP10 and AP14.
Download or read book Genetic Analysis in Soybean written by Sunil S. Patil and published by LAP Lambert Academic Publishing. This book was released on 2012-06 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: A field experiment was carried out at Navsari Agriculture University, Gujarat (India) for the estimation of Genetic Variability, Heritability, Genetic Advance, Correlation, Path Analysis and Genetic Divergence in 36 soybean genotypes obtained from different eco-geographical regions of India. The highest genotypic and phenotypic coefficient of variances were observed for plant height followed by seed yield per plant and pods per plant and it was lowest for days to 50% flowering, days to maturity, protein content and pod length. High heritability and genetic advance were observed for plant height, seed yield per plant and pods per plant. Seed yield per plant was positively and significantly correlated with plant height, pods per plant, days to 50 per cent flowering and days to maturity. Pod per plant recorded highest positive direct effect on seed yield per plant followed plant height. However, there was a substantial genetic diversity between the genotypes with D2 values ranging from 33.64 to 379.08. Thirty six genotypes were grouped into six clusters. The clustering pattern revealed that genetic diversity was not necessarily associated with geographical diversity in this crop.
Download or read book Characterization of the Genetic and Environmental Effects Underlying Soybean Seed Protein Concentration in Two Recombinant Inbred Populations written by Rachel Whaley and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybean (Glycine max (L.) Merrill) is a significant source of high-quality plant-based protein. An increased awareness of soybean health benefits has spurred a greater demand for soy-based food products, which has attracted attention from researchers, soybean growers and food processors. Soybean seed protein concentration is a complex trait that is influenced by genotype, environment and genotype-by-environment interaction effects, and is negatively associated with seed yield. The main objectives of this study were to: (i) determine the effects of genotype and genotype-by-environment interaction on seed protein concentration; and (ii) identify quantitative trait loci (QTL) associated with seed protein concentration suitable for marker-assisted selection. Genotypic and phenotypic data were collected from multi-environment trials of two recombinant inbred line (RIL) populations, derived from the high-protein cultivar, AC X790P (49%, dry weight basis), and low protein commercial cultivars, S18-R6 (41%) and S23-T5 (42%). Genotype, environment and genotype-by-environment interaction effects significantly affected seed protein concentration and seed yield. Significant correlations between seed protein concentration and seed yield were not observed in either population, and GGE biplots made it possible to identify for competitive high-protein genotypes. Seventy-nine QTL associated with seed protein concentration (with R2 ranging from 4.1% to 24.4%) were identified, 14 of which (with R2 ranging from 10.0% to 20.7%) were deemed desirable for marker-assisted selection.
