Quantitative Trait Loci Associated with Protein, Oil and Carbohydrates in Soybean [Glycine Max (L.) Merr.] Seeds PDF Download
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![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=w150-h200)
Author: Ravi V. Mural
Publisher:
ISBN: 9781392412466
Category : Soybean
Languages : en
Pages : 0
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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.
![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: Samantha J. McConaughy
Publisher:
ISBN:
Category : Soybean
Languages : en
Pages : 172
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Book Description
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.
![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 :
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![Genetic Mapping of Quantitative Trait Loci Conditioning Protein Concentration and Quality, and Other Seed Characteristics in Soybean [Glycine Max (L.) Merrill] PDF](https://books.google.com/books/content/images/frontcover/1NMQkAEACAAJ?fife=w80-h100)
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
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
![Validation of Quantitative Trait Loci Conditioning Seed Phytate and Protein Concentration in Soybean [Glycine Max (L.) Merrill] PDF](https://books.google.com/books/content/images/frontcover/MMBcOAAACAAJ?fife=w80-h100)
Author: Andrew M. Scaboo
Publisher:
ISBN:
Category :
Languages : en
Pages : 84
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Author: Joseph Najjar
Publisher:
ISBN:
Category :
Languages : en
Pages : 228
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Soybean [Glycine Max (L.) Merrill] is an important economic crop because of its high content of seed protein and oil. Seed oil and protein content are quantitative inherited traits. The genetics of seed protein and oil levels have been extensively studied, with 367 QTL reported for protein and 475 QTL reported for oil to date. Validation of such QTLs, and identification of easily-automatable molecular markers around these QTL will aid the progression of breeding for such traits. The focus of this research was to discover novel and verify previously reported QTL related to protein and/or oil content via Genome-Wide Association Study (GWAS). A total of 391 Plant Introduction (PI) lines from the Germplasm Resource Information Network (GRIN) database were used, representing contrasting seed protein and oil content. A single-row plot with one replication was grown in 3-meter rows in Fayetteville, AR in 2015, and with two replications in Fayetteville, AR, Stuttgart, AR, and Raleigh, NC in 2016 in a randomized-complete block design. Seed samples were assessed for protein and oil concentration using the Perten DA 7250™ NIR analyzer. To perform the GWAS and detect QTL controlling both protein and oil content in soybean, the resulting seed content phenotypic data was utilized in conjunction with publicly available SoySNP50k iSelect BeadChip database from the USDA-ARS Soybean Germplasm Collection. We detected significant markers previously reported for seed protein content on chromosome 5, 7, 9, 18, and 20, and on chromosomes 7, 8, 13, 15, 19, and 20 for seed oil content. In addition, we reported new QTL for seed protein on chromosomes 8, 10, 15, 16, and 20, and for oil on chromosomes 5, 7, 8, and 18. Future QTL mapping via use of bi-parental populations will be necessary to confirm QTL and validate the genes identified as novel in this study.
![Identification of Quantitative Trait Loci (QTL) Associated with Seed Soyasaponin I Concentration in Soybean (Glycine Max [L] Merril.). PDF](https://books.google.com/books/content/images/frontcover/a5x1zgEACAAJ?fife=w80-h100)
Author: Edward MacDonell
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Soybean (Glycine max [L.] Merr.) is the world's largest oilseed crop and also produces soyasaponins, which have nutraceutical properties. Soyasaponin I is the major soyasaponin derived from soybean seeds. Seed soyasaponin I concentration is a quantitative trait, which can be improved through marker-assisted selection. A population of 186 F4-derived recombinant inbred lines from the cross of 'OAC Wallace' and 'OAC Glencoe' and a trial of 40 soybean cultivars were used in this study. Six QTL associated with soyasaponin I were identified through simple and composite interval mapping. Genotype, environment, and genotype-by-environment interactions for soyasaponin I were significant in the cultivar trial and genotype was significant in the mapping population. These results contribute to a better understanding of the genetics of soyasaponin I, the influence of environment and genotype-by-environment interactions on the trait, and provide molecular markers to facilitate marker-assisted selection for soybean cultivars with improved soyasaponin I profiles.
Author: Rachel Whaley
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
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.
Author: Jongil Chung
Publisher:
ISBN:
Category :
Languages : en
Pages : 282
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Author: Jiao Wang
Publisher:
ISBN: 9781303141447
Category : Soy oil
Languages : en
Pages : 224
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Book Description
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.
