Genetic Mapping of Quantitative Trait Loci for Seed Quality Traits in an Interspecific Soybean Population [microform] PDF Download

Author: Aron Donald Weir
Publisher: National Library of Canada = Bibliothèque nationale du Canada
ISBN: 9780612802056
Category :
Languages : en
Pages : 155

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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Soybean [Glycine max (L.) Merr.] is grown for its high oil and protein concentration, which may be used in a wide array of industries throughout the world. It contributes about 15 billion dollars annually to the US economy. Focusing on protein concentration and quality, I was interested to discover genomic regions as quantitative trait loci (QTL) associated with nitrogen accumulation during reproductive stages, protein concentration, storage protein fractions, amino acid composition, seed size, oil content, and agronomic traits. A population of 101 F6-derived recombinant inbred lines (RIL) created from a cross of N87-984-16 x TN93-99 were used to achieve these objectives. Experiments were conducted in six environments during 2002 and 2003. A significant (P

Author: Daniel Herbstman Ronis
Publisher:
ISBN:
Category : Gene mapping
Languages : en
Pages : 196

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Author: Catherine Nyaguthii Nyinyi
Publisher:
ISBN:
Category :
Languages : en
Pages : 111

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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: Kristin Bilyeu
Publisher: CRC Press
ISBN: 1439844666
Category : Science
Languages : en
Pages : 388

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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

Author: Mehrzad Eskandari
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Author: Sandra Liliana Florez Palacios
Publisher:
ISBN: 9781321045178
Category : Soybean
Languages : en
Pages : 278

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Seed carbohydrate content is an important aspect in breeding for food-grade soybeans commercialized in the soyfood market. Sucrose and stachyose are the primary carbohydrates in soybean seed. Sucrose affects the quality and taste of various soyfoods such as tofu, soymilk, and natto; however, consumption of soy-based products with high stachyose concentrations can cause diarrhea and flatulence. A mutant line (V99-5089) with high-sucrose and low-stachyose has been identified. The objectives of this research were: 1) to identify sucrose QTLs in a F2-derived mapping population; 2) to investigate the genetic relationship between two low-stachyose sources, V99-5089 and the germplasm line PI200508; and 3) to identify stachyose QTLs in a F2-derived mapping population. An allelism test for low stachyose was performed by using 121 F2-derived lines from the cross PI200508 x V99-5089 grown in three different environments. Carbohydrate content was determined by a high performance liquid chromatogram system, and lines were classified as high- or low- stachyose. Chi-square analysis was performed to test for goodness-of-fit of observed segregation to the expected genetic ratio. Results showed a 9 high-stachyose : 7 low-stachyose ratio, indicating that two independent recessive genes conferred the low-stachyose trait in the two mutant lines. Additionally, gene dosage effect was observed; however, further study is required in order to confirm its presence. The sucrose and stachyose QTL studies were carried out in 92 F2:7 lines derived from the cross V97-3000 x V99-5089. Leaf samples were collected at F2:6 for DNA extraction and subsequent molecular analysis using single nucleotide polymorphism (SNP) markers. Seed from F2:7 lines grown in two locations, each one with two replications, were analyzed for sugar content. Results showed two sucrose QTLs located on chromosomes 6 and 10, accounting for 17 and 11% of the phenotypic variation, respectively. Additionally, two stachyose QTLs were found on chromosome 10 and 11, explaining 11 and 46% of the stachyose variation. Results from this research indicate that the two low-stachyose sources may serve as valuable parents in breeding for low-stachyose soybeans. Additionally, V99-5089 may also provide favorable alleles for breeding high-sucrose varieties. The sucrose and stachyose QTLs identified in these studies are stable across environments and will facilitate the marker-assisted selection for both traits.

Author: Heike Kross
Publisher:
ISBN:
Category :
Languages : en
Pages : 174

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Author: Paul Joseph Collins
Publisher:
ISBN: 9781392565834
Category : Electronic dissertations
Languages : en
Pages : 123

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Soybean (Glycine max) is the world's leading oilseed crop and is a critical source of protein for poultry and swine production. Soybean production is limited by many biotic factors including soybean sudden death syndrome (SDS) which is caused by a soil-borne fungal pathogen, Fusarium virguliforme. Effective management methods for soybean sudden death syndrome include long-term rotations, fluopyram seed treatment, and planting SDS resistant varieties. Host resistance to F. virguliforme is a quantitative resistance, as it is controlled by many genes, largely of small effect. To more efficiently breed SDS resistant soybean varieties, researchers have sought to identify the loci on the soybean genome responsible for SDS-resistance. Three recombinant inbred line (RIL) populations were evaluated for foliar SDS resistance at a naturally infested field site in Decatur, MI during the 2014 and 2015 growing seasons. These populations segregated for SDS resistance, as they were derived from a parent resistant to SDS and a parent susceptible to SDS. The parents and a subset of RILs from each population were genotyped with the SoySNP6K Illumina Infinium BeadChip. Linkage maps unique to each population were constructed using JoinMap ver. 2. Composite interval mapping was done using WinQTLCartographer (ver. 2.5). Six quantitative trait loci (QTL) were identified to be associated with SDS resistance. Three of the QTL associated with SDS resistance were identified across multiple years and/or populations. While biotic factors, such as SDS, work to limit soybean production, soybean quality factors, such as oil quality, can offer new production opportunities. Soybean oil is predominantly composed of five fatty acids: palmitic acid (11%), stearic acid (4%), oleic acid (25%), linoleic acid (52%), and linolenic acid (8%). While there is little variability in most commodity soybean varieties for fatty acid content, soybean breeders have been able to introduce oil quality traits into the soybean germplasm. Oil quality traits for soybean oil include high oleic acid content (>75%), low linolenic acid content (

Author: Jiao Wang
Publisher:
ISBN: 9781303141447
Category : Soy oil
Languages : en
Pages : 224

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Protein and oil are the major chemical constituents of soybean seed that affect the quality of soyfood, feed, and oil products. Therefore, soybean cultivars with high protein and/or high oil are desirable for the soyfood and feed markets. Use of molecular-marker-assisted selection will facilitate the breeding process of such cultivar development. The objectives of this research were to identify new quantitative trait loci (QTL) and confirm previously reported QTL associated with seed protein and oil content by using simple sequence repeat (SSR) markers and single nucleotide polymorphism (SNP) markers. Two recombinant inbred line (RIL) populations consisting of 242 individuals from R05-1415 (high protein/low oil) x R05-638 (low protein/high oil) (population 1) and 214 individuals from R05-4256 (high oil/low protein) x V97-1346 (low oil/high protein) (population 2) were used in QTL mapping. F2 plants from the mapping populations were used for SSR/SNP genotyping. In the marker screening, 120 out of 626 SSR and 1652 out of 5361 SNP markers were polymorphic. The RILs from both populations were grown in a randomized complete block design in Argentina in 2010, Stuttgart and Keiser, AR in 2011 and 2012. Seed from F2:3, F2:4 and F2:5 lines were tested for protein and oil content by using near infrared transmittance technique based on 13% moisture. Protein and oil content in both RIL populations exhibited a typical normal distribution. Single marker analysis (SMA) and composite interval mapping (CIM) revealed two novel oil QTL on chromosomes 14 and 6 in population 2 which account for 17% and 13% of the oil content variation, respectively. A minor protein QTL was confirmed on chromosome 14. One major QTL with large effect was confirmed on chromosome 20 across genetic populations, locations, and years; this QTL has opposite effects on seed protein and oil content. Eight new SNP markers flanking this QTL region on chromosome 20 were identified in population 2. These new and confirmed QTL along with linked molecular markers for seed protein and oil content can be used for marker-assisted selection for seed composition improvement in soybean breeding programs.