Download or read book Mineral Evaluation and Quantitative Trait Loci Mapping in a Soybean Glycine Max L Merr Population Developed for Iron Deficiency Chlorosis Resistance written by Keith Edward King and published by . This book was released on 2011 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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:

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

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.

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:

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:

Download or read book Identification of Quantitative Trait Loci QTL and Genes Associated with Seed Isoflavone Concentration in Soybean Glycine Max L Merril written by Adam Carter and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Isoflavones are plant secondary metabolites produced by soybean (Glycine-max-[L.] Merr.) that function as phytoalexins in plants and have positive human health benefits. Breeding for soybeans with high seed isoflavones has attracted considerable attention. Soybean seed isoflavones are quantitatively inherited and may be involved in disease resistance. The objectives of this thesis were to: identify quantitative-trait-loci (QTL) and genes associated with seed isoflavones and study the effects of genotype, environment, and genotype-by-environment interaction (GEI) on isoflavones. A population of 109 recombinant inbred lines was developed from the cross RCAT 1004 x DH 4202 and evaluated in four Ontario locations in 2015 and 2016. Significant genotype, environment, and GEI effects were found. Single marker analyses and interval mapping identified 10 and four QTL associated with isoflavones, respectively. Gene expression analyses revealed the importance of the chalcone synthase 7 and 8 (CHS7 and CHS8) genes on isoflavone biosynthesis. The identified QTL and genes can be used in marker assisted selection.

Download or read book Soybean Iron Deficiency Chlorosis written by Ahmed Charif and published by . This book was released on 2018 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Minimum Tile derived Microsatellite Markers Improve the Physical Map of the Soybean Genome and the Flyer and Hartwig Genetic Map at Rhg Rfs and Yield Loci written by Samreen H. Kazi and published by . This book was released on 2005 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: The soybean ( Glycine max (L.) genome map encompasses 1,115 Mbp, 2,512 cM, and twenty chromosomes (SoyGD http://soybeangenome.siu.edu). Gaps in the genetic map hamper physical map completion. The aims were to efficiently construct a new genetic map, to fill gaps in the physical map and to identify novel quantitative trait loci (QTL). Used were microsatellite markers (142, 38 from physical map minimum tile path clone end-sequences), bulked-segregant analysis and the recombinant inbred line population Flyer x Hartwig (FxH; n=92). Three regions were positively associated with seed yield, one novel. Discovered were one new QTL for resistance to Sudden Death Syndrome associated leaf scorch measured by disease index and two QTL for the severity of root infection by the causal organism, Fusarium virguliforme . Four loci for resistance to soybean cyst nematode were identified and confirmed in near isogeneic lines. The new 2,494 cM map has improved the soybean genome map at SoyGD.

Download or read book Quantitative Trait Loci Mapping Genome wide Association Analysis and Gene Expression of Salt Tolerance in Soybean written by Ailan Zeng and published by . This book was released on 2016 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Salt stress is a common abiotic stress causing yield reduction in soybean. There are differential responses, namely tolerance (excluder) and intolerance (includer), among soybean germplasm. However, the genetic and physiological mechanism for salt tolerance is not clear. Identification of novel QTL for salt tolerance and genes that are differentially expressed under salt stress would help elucidate the salt tolerance mechanism and facilitate the development of salt tolerant cultivars through marker assisted selection (MAS). The objectives of this study were to identify new QTL or genes responsible for salt tolerance using three approaches: QTL mapping, association analysis, and RNA sequencing (RNA-seq). A salt-sensitive cultivar, RA-452, was crossed with a salt-tolerant cultivar, Osage, to develop an F4-derived QTL mapping population. Composite interval mapping (CIM) analysis indicated that a major chloride (Cl-)-tolerant QTL was confirmed and narrowed down on Chr. 3 in both NaCl and KCl treatments, a novel Cl--tolerant QTL on Chr. 15 was identified in NaCl treatment, and a novel Cl--tolerant QTL on Chr. 13 was identified in KCl treatment. Based on the results from the screening of the RA-452 x Osage mapping population, two F4:6 lines with extreme responses, most tolerant and most sensitive, were selected for a time-course gene expression study. A total of 2374, 998, 1746, and 630 differentially expressed genes (DEGs) between salt-tolerant line and salt-sensitive line, were found at 0, 6, 12, and 24 h, respectively. The gene expression profiles of six genes including Glyma.02G228100, Glyma.03G031400, Glyma.04G180300, Glyma.04G180400, Glyma.05G204600, and Glyma.17G173200 were verified by qRT-PCR. In addition, a total of 283 diverse germplasm lines were obtained from the Germplasm Resource Information Network (GRIN) and screened for salt stress response in greenhouse. A total of 33,009 SNPs across 283 genotypes were employed in the association analysis with leaf chloride concentration and leaf chlorophyll concentration. Association analysis results confirmed the salt-tolerance QTL on Chr. 3 and revealed eight new putative QTL on Chr. 2, 7, 8, 10, 13, 14, 16, and 20. These QTL and linked SNP markers will be useful for MAS in breeding salt-tolerant soybean varieties.

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.

Download or read book Evaluation of QTL Alleles from Wild Glycine Soja that Increase Protein Content in Glycine Max written by Audrey Marie Sebolt and published by . This book was released on 1999 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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:

Download or read book Developing Chemically Mutagenized Soybean Populations for Functional Gene Analyses at the Rhg1 Locus written by Zhou Zhou and published by . This book was released on 2013 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybean (Glycine max (L.) Merr.) cyst nematode (SCN) (Heterodera glycines Ichinohe), an obligate sedentary endoparasite, is the most economically destructive pathogen in soybean production and causes over $1 billion in annual losses in the United States. Planting resistant cultivars is the primary management method to control SCN for the long-term purpose, but the nature of genetic resistance is little known. The Rhg1 (Resistance to H. glycines ) locus on chromosome 18 is found as a major quantitative trait locus (QTL) that contributes resistance to SCN. The chemical mutagen ethylmethane sulfonate (EMS) can be utilized to induce genetic mutations in soybean populations, which screened by an efficient reverse genetic strategy known as Targeting Induced Local Lesions IN Genomes (TILLING) for functional gene analyses. The objective of this study was to analyze the function of SNAP gene ( Glyma18g02590 ) at rhg1 allele from `Forrest' (`Peking'-derived SCN resistant cultivar) using TILLING. Soybean cultivar `Forrest' seeds were mutagenized with EMS and grown to generate M1 plants. M1 plants were self-pollinated to produce approximately 3000 M2 plants. Genomic DNAs were extracted from young leaves of individual M2 plants and quantified to normalize concentration of DNAs. The DNA samples were then pooled eight-fold in 96-well plates for mutations screening by TILLING. Moreover, 12 phenotypic traits including chlorophyll deficiency, leaf shape, branch architecture, seed color, seed weight, fatty acid phenotype were identified in the mutagenized population, analyzed and archived in this study.

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.

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.

Download or read book Identification of a QTL Associated with Tolerance of Soybean to Soil Waterlogging written by T. T. Vantoai and published by . This book was released on 2000 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soil waterlogging is a major environmental stress that suprresses soybean (Glycine max (L)Merr.) growth and yield. Our objective was to identify the quantitative trait loci (QTL) associated with the tolerance of soybean to soil waterlogging. We subjected 208 lines of two recombinant inbred (RI) populations, 'Archer' x 'Minsoy' and 'Archer' x 'Noir I', to two weeks of waterlogging when the plants were at the early flowering stage. The control plants were not flooded. The experiment was conducted in three environments: Columbus, OH in 1997 and 1998 and Wooster, OH in 1998. We identified a single QTL, linked to Sat_064, from the Archer parent which was associated with improved plant growth (from 11 to 18%) and grain yields (from 47 to 180%) in waterlogged environments. This highly significant QTL (p=0.02 to 0.000001) was identified in both RI populations and in both Columbus 1997 and 1998 environments, but not at the Wooster 1998 environment. The differences in soil types and flooding treatment (stagnant versus moving water) could have contributed to the lack of QTL identification at the Wooster 1998 environment. The Sat_064 QTL was uniquely associated with waterlogging tolerance and was not associated with maturity, normal plant height or grain yields. The Sat_064 marker maps close to the Rps4 gene for Phytophthora (Phytophthora sojae) resistance, however since Archer does not contain the Rps4 resistance allele, it is probably not a disease tolerance QTL. Near isogenic lines with and without the Sat_064 marker have been developed and are being field tested under waterlogging conditions to confirm the association of the QTL with the tolerance of soybean to waterlogging stress.