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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
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Book Synopsis Genetic Mapping of Quantitative Trait Loci Conditioning Protein Concentration and Quality, and Other Seed Characteristics in Soybean [Glycine Max (L.) Merrill] by :
Download or read book Genetic Mapping of Quantitative Trait Loci Conditioning Protein Concentration and Quality, and Other Seed Characteristics in Soybean [Glycine Max (L.) Merrill] written by and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Validation of Quantitative Trait Loci Conditioning Seed Phytate and Protein Concentration in Soybean [Glycine Max (L.) Merrill] by : Andrew M. Scaboo
Download or read book Validation of Quantitative Trait Loci Conditioning Seed Phytate and Protein Concentration in Soybean [Glycine Max (L.) Merrill] written by Andrew M. Scaboo and published by . This book was released on 2005 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Identification and Localization of Quantitative Trait Loci (QTL) and Genes Associated with Oil Concentration in Soybean [Glycine Max (L.) Merrill] Seed by : Mehrzad Eskandari
Download or read book Identification and Localization of Quantitative Trait Loci (QTL) and Genes Associated with Oil Concentration in Soybean [Glycine Max (L.) Merrill] Seed written by Mehrzad Eskandari and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Quantitative Trait Loci Associated with Protein, Oil and Carbohydrates in Soybean [Glycine Max (L.) Merr.] Seeds by : Ravi V. Mural
Download or read book Quantitative Trait Loci Associated with Protein, Oil and Carbohydrates in Soybean [Glycine Max (L.) Merr.] Seeds written by Ravi V. Mural and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Characterization of the Genetic and Environmental Effects Underlying Soybean Seed Protein Concentration in Two Recombinant Inbred Populations by : Rachel Whaley
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.
Book Synopsis Dissertation Abstracts International by :
Download or read book Dissertation Abstracts International written by and published by . This book was released on 2005 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Association Mapping for Soybean (glycine Max L. Merr.) Protein and Oil Content by : Joseph Najjar
Download or read book Association Mapping for Soybean (glycine Max L. Merr.) Protein and Oil Content written by Joseph Najjar and published by . This book was released on 2020 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author :Aron Donald Weir Publisher :National Library of Canada = Bibliothèque nationale du Canada ISBN 13 :9780612802056 Total Pages :155 pages Book Rating :4.8/5 (2 download)
Book Synopsis Genetic Mapping of Quantitative Trait Loci for Seed Quality Traits in an Interspecific Soybean Population [microform] by : Aron Donald Weir
Download or read book Genetic Mapping of Quantitative Trait Loci for Seed Quality Traits in an Interspecific Soybean Population [microform] written by Aron Donald Weir and published by National Library of Canada = Bibliothèque nationale du Canada. This book was released on 2003 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Assessing the Efficiency of Phenotypic and Molecular Genotype Selection Methods for Complex Traits in Soybean by : Catherine Nyaguthii Nyinyi
Download or read book Assessing the Efficiency of Phenotypic and Molecular Genotype Selection Methods for Complex Traits in Soybean written by Catherine Nyaguthii Nyinyi and published by . This book was released on 2011 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybean [Glycine max (L.) Merrill] is an important source of protein and oil for both nutritional and industrial applications. Increasing seed yield and protein concentration is the main goal of many soybean breeders to meet market demands. Soybean breeders have occasionally succeeded in producing high yielding cultivars with increased protein content using conventional means despite the negative correlation that exists between these two traits. The efficiency of breeding for seed yield and protein concentration improvement in soybean could be increased using marker assisted selection (MAS) breeding strategies to select genotypes containing favorable alleles for faster cultivar development. The objective of this study was to identify quantitative trait loci (QTL) associated with seed yield, and separately, seed protein concentration and then compare phenotypic selection (PHE) and MAS approaches for seed yield and protein concentration improvement. Two hundred and eighty two F5 derived recombinant inbred lines (RILs) were developed from a cross of Essex [centered x, actual symbol not reproducible] Williams 82 and genotyped with 1586 single nucleotide polymorphism (SNP) markers. The population was divided by days to maturity (10 days) into three tests (early, mid and late) each with 94 genotypes, with one genotype overlapping in maturity in the mid and late tests. In 2009, the three tests, parents and checks were grown in a randomized complete block design (RCBD) in: Fayetteville, AR; Harrisburg, IL and, Knoxville, TN replicated three times, and evaluated for seed yield and protein concentration. Data were combined within each test across three locations and analyzed using the MIXED procedure of SAS to determine that there were significant genotypic differences among RILs. Composite interval mapping (CIM) detected nine seed yield and ten protein concentration QTL which may be good candidates for MAS as they were environmentally stable. Selections to compare PHE, and MAS for seed yield and protein concentration provided 8 replicated field tests in four relative maturity groups grown in a RCBD replicated three times in three locations in Tennessee, in 2010. We demonstrated that both MAS and PHE may be used to select quantitative traits; however, more studies are required to optimize MAS for quantitative trait improvement.
Book Synopsis Genetic Variance Components and Quantitative Trait Loci Mapping for Soybean (Glycine Max L.) Seed Size by : Jongil Chung
Download or read book Genetic Variance Components and Quantitative Trait Loci Mapping for Soybean (Glycine Max L.) Seed Size written by Jongil Chung and published by . This book was released on 1996 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Genomic Regions Involved in Seed Protein, Oil, and Carbohydrate Concentration in Soybean by : Samantha J. McConaughy
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.
Book Synopsis RFLP Mapping of Quantitative Trait Loci for Reproductive, Morphological, and Seed Traits of Soybean (Glycine Max L.) Across Environments by : Heike Kross
Download or read book RFLP Mapping of Quantitative Trait Loci for Reproductive, Morphological, and Seed Traits of Soybean (Glycine Max L.) Across Environments written by Heike Kross and published by . This book was released on 1995 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Genetic Analysis of Quality Traits for Food-grade Soybean (Glycine Max L. Merr.) in a Breeding Population by : Mao Huang
Download or read book Genetic Analysis of Quality Traits for Food-grade Soybean (Glycine Max L. Merr.) in a Breeding Population written by Mao Huang and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: Food-grade soybeans are a specialty crop with unique chemical and physical seed quality requirements. The tofu production market requires large, round soybean seed with a clear hilum and high protein content. The aim of this project was to detect QTL responsible for traits important in food-grade soybeans, and to provide information for the selection of food-grade soybeans in a breeding program. This study assessed seed shape, size, density, weight, protein content, and oil content in two independent populations of breeding lines and cultivars as well as textural traits of the tofu produced from a subset of those. By identifying the relationship between seed traits and tofu texture, the previously established positive correlation between seed protein content and the stiffness and gel strength of tofu were confirmed. Little to no correlations between seed size and shape measurements and the texture of tofu were detected, indicating that this consumer preference for large, round seeds may not relate to tofu quality. The effects of selection for specialty traits on the genetic differentiation within a breeding program were assessed, results shown that both parental and progeny selection contributed to genetic differentiation and population structure. Association mapping was conducted with 504 markers in a population of 242 breeding lines and cultivars, leading to the identification of 50 significant marker-trait associations. Of the 27 significant associations tested in another independent confirmation population consisting of 152 lines or cultivars, 12 were confirmed. These results can be directly applied to increase selection efficiency in a breeding program.
Book Synopsis Seed and Leaf Trait Correlations and Identification of Underlying Loci in Soybean (Glycine Max (L.) Merr.) by : Charles R. Yesudas
Download or read book Seed and Leaf Trait Correlations and Identification of Underlying Loci in Soybean (Glycine Max (L.) Merr.) written by Charles R. Yesudas and published by . This book was released on 2008 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybean [Glycine max (L.) Merill] is a major crop due to high seed protein, isoflavone and oil contents. The aim here was to find loci underlying agronomic traits with new markers and new trait data. Genetic analyses of these traits were carried out in field experiments of 100 'Essex' x 'Forrest' (ExF) recombinant inbred lines. Trait data analysis for insect leaf herbivory, yield, seed protein, oil, water and isoflavone content and mapping the underlying QTL identified candidate genes. Seed protein content was positively correlated with seed yield but negatively correlated with seed oil. Seed isoflavone content did not correlate with herbivory but did negatively correlate with seed yield. Two measures of herbivory; pest incidence and pest severity, showed a strong genetic component but did not correlate with any other trait. QTL associations ranged from 5 loci for total glycitein to 1 for many other traits. Sixty eight QTL were found in this study, including 10 new QTL underlying 9 previously characterized traits derived for the 27 new markers added to the existing ExF mapping file.
Book Synopsis Genetics, Genomics, and Breeding of Soybean by : Kristin Bilyeu
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
Book Synopsis Detection of Quantitative Trait Loci for Marker-assisted Selection of Soybean Isoflavone Genistein by : Christopher Joseph Smallwood
Download or read book Detection of Quantitative Trait Loci for Marker-assisted Selection of Soybean Isoflavone Genistein written by Christopher Joseph Smallwood and published by . This book was released on 2012 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybean [Glycine max (L.) Merrill] is an important crop throughout the world. Among the many seed quality traits contained in soybean are isoflavones, which are associated with numerous health benefits, including cancer prevention, improved cardiovascular health, improved bone health, and reduced menopausal symptoms. This study sought to identify quantitative trait loci (QTL) controlling soybean isoflavones genistein, daidzein, glycitein, and total isoflavone content to gain a better understanding of genetic regions controlling production of these compounds. The phenotypic data for QTL detection was generated in 2009 from a population of 274 recombinant inbred lines (RILs) separated into three field tests based on maturity (early, mid, and late) and grown in three locations (Knoxville, TN; Harrisburg, IL; and Stuttgart, AR). Genotypic data was obtained using 1,536 single nucleotide polymorphism (SNP) markers, of which 480 were polymorphic. Overall, 21 QTL were detected for soybean isoflavones, including 7 for genistein, 5 for daidzein, 3 for glycitein, and 6 for total isoflavones. Of these 21 QTL, 8 were newly detected, while 13 were validated from previous studies. Marker-assisted selections (MAS) were made using the QTL for genistein, which is typically the most abundant isoflavone, for comparison with phenotypic selections. Challenges exist when considering MAS for quantitative traits such as isoflavones, including concerns with epistatic interactions and genotype × environment interactions. However, isoflavone improvement with MAS would be useful as phenotyping data is costly and time consuming. Comparisons of MAS and phenotypic selection methods were done in 2010 and 2011 in field tests grown in three locations (Knoxville, TN; Springfield, TN; Milan, TN). Results from this study indicate that phenotypic selections outperformed MAS for genistein. However MAS for genistein did show improvements in relation to parental lines, as well as unselected RILs included in field tests for comparison. Additionally, genistein was significantly correlated with other isoflavones, as well as with yield. More research should be done as the costly and time consuming process of collecting phenotypic data for isoflavones provides incentive to pursue MAS as an improvement strategy.
Book Synopsis Identification of Quantitative Trait Loci (QTL) Associated with Seed Soyasaponin I Concentration in Soybean (Glycine Max [L] Merril.). by : Edward MacDonell
Download or read book Identification of Quantitative Trait Loci (QTL) Associated with Seed Soyasaponin I Concentration in Soybean (Glycine Max [L] Merril.). written by Edward MacDonell and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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