Quantitative Trait Loci for Soybean Seed Yield in Elite and Plant Introduction Germplasm PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Quantitative Trait Loci for Soybean Seed Yield in Elite and Plant Introduction Germplasm PDF full book. Access full book title Quantitative Trait Loci for Soybean Seed Yield in Elite and Plant Introduction Germplasm by Matthew David Smalley. Download full books in PDF and EPUB format.
Author: Matthew David Smalley
Publisher:
ISBN:
Category :
Languages : en
Pages : 364
Get Book Here
Book Description
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.
Author: Matthew David Smalley
Publisher:
ISBN:
Category :
Languages : en
Pages : 364
Get Book Here
Book Description
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.
Author: Charles C. Hendrix
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
The genetic improvement of soybean (Glycine max (L.)) cultivars in North America (N.A.) has, for the most part, been accomplished by intermating elite cultivars. This breeding strategy, combined with the limited N.A. genetic base, has resulted in a very narrow gene pool. Plant introductions (PI) have been used to expand the N.A. genetic base with limited success when conventional breeding methods have been used. Quantitative trait loci (QTL) mapping has been used to identify genetic regions within PIs that could contribute both genetic diversity and improved seed yield potential in the N.A. gene pool. Of the putative QTL for seed yield that have been identified, only a small percentage have been tested in confirmation trials and even fewer have been confirmed. The objective of this study is to confirm putative QTL for seed yield derived from Exotic germplasm that were identified in previous QTL mapping studies. One BC1F9 confirmation population was developed from the cross Kenwood x LG94-1713 to test the QTL associated with SSR loci Satt405 (linkage group (LG), J chromosome (chr) 16) and two BC1F11 populations were developed to test Satt477 (LG O, chr 10) and Satt557 (LG C2, chr 6). Four F8 confirmation populations were developed from the cross of BSR 101 x LG82-8379 to test the QTL linked to Satt142 (LG H, chr 12), Satt225 (LG A1, chr 5), Satt363 (LG C2, chr 6), and Satt544 (LG K, chr 9) and two F9 populations were developed to test Satt168 (LG B2, chr 14) and Satt358 (LG O, chr 10). Unfortunately, no putative QTL for seed yield were confirmed in any of the populations developed from the BSR 101 x LG82-8379 mapping population. A QTL for plant height, maturity, and seed yield associated with Satt557 was confirmed in two populations developed from Kenwood x LG94-1713 with the beneficial allele coming from the LG94-1713 parent but these results were confounded by the tight linkage of Satt557 to the E1 locus. In both populations maturity was delayed by slightly more than 5 days in the lines homozygous for the LG94-1713 allele. However, there were differences between the two populations for both plant height and seed yield. The allele from LG94-1713 in one population increased plant height by 4.6 cm and seed yield by 0.32 Mg ha-1 more than in the second population. We hypothesize that a crossover occurred in one of the populations that separated the putative QTL from Satt557 but not from E1 and this QTL is responsible for the increase in seed yield and plant height. Several polymorphic single nucleotide polymorphism (SNP) markers have been identified between the two parents, which are on either side of Satt557. The lines in both populations are being tested with these markers to determine if and where the crossover occurred. If our assumption is correct, this confirmed QTL for seed yield may add additional genetic diversity and higher seed yield potential to the N.A. gene pool.
![Marker Assisted Selection for Seed Yield in Soybean [Glycine Max (L.) Merr.] Plant Row Yield Trials PDF](https://books.google.com/books/content/images/frontcover/NctQMwEACAAJ?fife=w80-h100)
Author: Jason D. Neus
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Quantitative trait loci (QTL) controlling seed yield in soybean [Glycine max (L.) Merr.] have been difficult to confirm among populations. Our objective was to determine whether a method of marker-assisted selection (MAS) for seed yield in elite lines would be applicable to selection in soybean plant row yield trials (PRYTs). Lines from two populations with elite parents were grown in PRYTs in 2008 and tested with markers to identify quantitative trait loci (QTL) associated with seed yield. The first population was tested with 53 single nucleotide polymorphism (SNP) markers and the second population with 26 SNP markers. F-tests were conducted to determine which loci were significantly associated with seed yield in the PRYTs. Lines from each population were then selected from the PRYTs to form five groups from each population: high and low seed yield phenotypes, high and low seed yield genotypes, and random. The five groups from each population were planted at eight diverse locations in 2009. In one population, the mean of the genotypic high group was not statistically different than the phenotypic high group. In the other population, the mean of the genotypic high group was within 90 kg/ha-1 of the mean of the phenotypic high group and was superior to the random group for seed yield. Even with the limited marker coverage, the genotypic selection method used in this study successfully identified lines in PRYTs that would not have been selected due to poor seed yield performance in 2008.
![Identification and Localization of Quantitative Trait Loci (QTL) and Genes Associated with Oil Concentration in Soybean [Glycine Max (L.) Merrill] Seed PDF](https://books.google.com/books/content/images/frontcover/kAcYuAEACAAJ?fife=w80-h100)
Author: Mehrzad Eskandari
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
![Quantitative Trait Loci Associated with Protein, Oil and Carbohydrates in Soybean [Glycine Max (L.) Merr.] Seeds PDF](https://books.google.com/books/content/images/frontcover/ZiYq0AEACAAJ?fife=w80-h100)
Author: Ravi V. Mural
Publisher:
ISBN: 9781392412466
Category : Soybean
Languages : en
Pages : 0
Get Book Here
Book Description
Soybean is mainly cultivated for its oil and high quality protein meal for feed, fuel and food uses. Achieving an improved balance of protein and oil in the seed, along with yield will enhance crop value. In practice, this has been difficult to achieve due to significant negative correlations of oil and protein, and the mostly negative relationship reported between seed protein concentration and yield. Most previous studies have focused on increasing seed oil concentration (SOC) or seed protein concentration (SPC) individually, and a few focused on decreasing raffinosacharides to improve digestibility and metabolizable energy of the feed for monogastric animals. None of the studies to date have considered improving the balance of SOC and SPC by also considering variation in total soluble sugars, which comprise the third largest component in soybean seed. Three related bi-parental recombinant inbred line (RIL) populations were developed by crossing two plant introduction lines that have lower total sugar concentration with two high-yielding soybean lines having higher SOC resulting in two pairs of half-sib populations. The objectives of this study were to identify genomic regions that influence oil, protein and carbohydrate concentrations in the seed in three uniquely structured bi-parental RIL populations using Molecular Inversion Probes (MIPs) markers, and evaluate relationships among seed composition traits and seed yield, seed weight and plant maturity from multiple environments. In total, 51 QTLs for seed, seed composition and plant traits were mapped on 17 chromosomes. All populations showed transgressive segregation for the sum of seed oil+protein concentration (SUM) in both directions but showed little transgressive segregation for SOC or SPC in two populations. There was a positive correlation of SOC and SPC with the SUM in two populations and a near to zero relationship of SUM with plot yield. Over the three populations, about 85% of the lines met processor targets of 10-12 pounds of oil per bushel and would produce 48% protein meal. The selected lines from this study could be further evaluated for yield and desirable agronomic traits in multi-location trials, which could lead to higher yielding soybean lines with improved seed composition. This work will ultimately lead to higher profitability for both the processors and farmers.
Author: Benjamin Bruce Stewart-Brown
Publisher:
ISBN:
Category :
Languages : en
Pages : 654
Get Book Here
Book Description
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.
Author: Catherine Nyaguthii Nyinyi
Publisher:
ISBN:
Category :
Languages : en
Pages : 111
Get Book Here
Book Description
Soybean seed quality and agronomic traits are important commercially. Agronomic traits such as yield, plant height, lodging, and adapted maturity have been the primary focus of breeders for many years. Seed quality traits are also important as they affect the market price of soybean. Higher protein soybean historically is valued more per unit. It is the goal of plant breeders therefore to simultaneously improve seed quality and agronomic traits. Seed quality and agronomic traits are quantitative traits whose inheritance is governed by many genes, and whose expression is subject to environmental variation. Furthermore, negative correlations between yield and protein, and protein and oil make it even more difficult to select for these traits. Molecular breeding tools such as quantitative trait loci (QTL) can provide breeders with a more direct method of selection for traits at the molecular level. QTL can however be misleading as they are subject to type I and type II errors. QTL validation studies are essential to marker assisted programs as they negate the need for individual breeders to validate every QTL of interest. The purpose of this study was to validate previously reported seed quality and agronomic trait QTL in an independent population derived from an Essex x Williams 82 cross. We were able to validate QTL for all traits and detected novel QTL that may be useful to breeders.
Author: Felipe Lopes da Silva
Publisher: Springer
ISBN: 3319574337
Category : Science
Languages : en
Pages : 439
Get Book Here
Book Description
This book was written by soybean experts to cluster in a single publication the most relevant and modern topics in soybean breeding. It is geared mainly to students and soybean breeders around the world. It is unique since it presents the challenges and opportunities faced by soybean breeders outside the temperate world.
Author: William Shurtleff; Akiko Aoyagi
Publisher: Soyinfo Center
ISBN: 1948436205
Category : Soybean
Languages : en
Pages : 1481
Get Book Here
Book Description
The world's most comprehensive, well documented and well illustrated book on this subject. With extensive subject and geographic index. 152 photographs and illustrations - mostly color, Free of charge in digital format on Google Books.
Author: Billy E. Caldwell
Publisher:
ISBN:
Category : Soybean
Languages : en
Pages : 712
Get Book Here
Book Description
