Identification Of Quantitative Trait Loci Qtl Associated With Seed Soyasaponin I Concentration In Soybean Glycine Max L Merril

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Identification of Quantitative Trait Loci (QTL) Associated with Seed Soyasaponin I Concentration in Soybean (Glycine Max [L] Merril.).

Author : Edward MacDonell
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (125 download)

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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.

Identification and Localization of Quantitative Trait Loci (QTL) and Genes Associated with Oil Concentration in Soybean [Glycine Max (L.) Merrill] Seed

Download Identification and Localization of Quantitative Trait Loci (QTL) and Genes Associated with Oil Concentration in Soybean [Glycine Max (L.) Merrill] Seed PDF Online Free

Author : Mehrzad Eskandari
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (13 download)

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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:

Identification of Quantitative Trait Loci (QTL) and Genes Associated with Seed Isoflavone Concentration in Soybean (Glycine Max [L] Merril.).

Download Identification of Quantitative Trait Loci (QTL) and Genes Associated with Seed Isoflavone Concentration in Soybean (Glycine Max [L] Merril.). PDF Online Free

Author : Adam Carter
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (125 download)

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Book Synopsis Identification of Quantitative Trait Loci (QTL) and Genes Associated with Seed Isoflavone Concentration in Soybean (Glycine Max [L] Merril.). by : Adam Carter

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.

Genetic Mapping of Quantitative Trait Loci Conditioning Protein Concentration and Quality, and Other Seed Characteristics in Soybean [Glycine Max (L.) Merrill]

Download Genetic Mapping of Quantitative Trait Loci Conditioning Protein Concentration and Quality, and Other Seed Characteristics in Soybean [Glycine Max (L.) Merrill] PDF Online Free

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (67 download)

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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

Quantitative Trait Loci Associated with Protein, Oil and Carbohydrates in Soybean [Glycine Max (L.) Merr.] Seeds

Author : Ravi V. Mural
Publisher :
ISBN 13 : 9781392412466
Total Pages : 0 pages
Book Rating : 4.4/5 (124 download)

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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.

Identification and Confirmation of Quantitative Trait Loci for Seed Protein and Oil Content of Soybean

Author : Jiao Wang
Publisher :
ISBN 13 : 9781303141447
Total Pages : 224 pages
Book Rating : 4.1/5 (414 download)

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Book Synopsis Identification and Confirmation of Quantitative Trait Loci for Seed Protein and Oil Content of Soybean by : Jiao Wang

Download or read book Identification and Confirmation of Quantitative Trait Loci for Seed Protein and Oil Content of Soybean written by Jiao Wang and published by . This book was released on 2013 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Genomic Regions Involved in Seed Protein, Oil, and Carbohydrate Concentration in Soybean

Author : Samantha J. McConaughy
Publisher :
ISBN 13 :
Total Pages : 172 pages
Book Rating : 4.:/5 (15 download)

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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.

Detection of Quantitative Trait Loci for Marker-assisted Selection of Soybean Isoflavone Genistein

Author : Christopher Joseph Smallwood
Publisher :
ISBN 13 :
Total Pages : 106 pages
Book Rating : 4.:/5 (81 download)

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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.

Quantitative Trait Loci for Soybean Seed Yield in Elite and Plant Introduction Germplasm

Author : Matthew David Smalley
Publisher :
ISBN 13 :
Total Pages : 364 pages
Book Rating : 4.:/5 (544 download)

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Book Synopsis Quantitative Trait Loci for Soybean Seed Yield in Elite and Plant Introduction Germplasm by : Matthew David Smalley

Download or read book Quantitative Trait Loci for Soybean Seed Yield in Elite and Plant Introduction Germplasm written by Matthew David Smalley and published by . This book was released on 2002 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Characterization of the Genetic and Environmental Effects Underlying Soybean Seed Protein Concentration in Two Recombinant Inbred Populations

Download Characterization of the Genetic and Environmental Effects Underlying Soybean Seed Protein Concentration in Two Recombinant Inbred Populations PDF Online Free

Author : Rachel Whaley
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (125 download)

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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.

Validation of Quantitative Trait Loci Conditioning Seed Phytate and Protein Concentration in Soybean [Glycine Max (L.) Merrill]

Author : Andrew M. Scaboo
Publisher :
ISBN 13 :
Total Pages : 84 pages
Book Rating : 4.:/5 (68 download)

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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:

Marker Assisted Selection for Seed Yield in Soybean [Glycine Max (L.) Merr.] Plant Row Yield Trials

Author : Jason D. Neus
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (774 download)

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Book Synopsis Marker Assisted Selection for Seed Yield in Soybean [Glycine Max (L.) Merr.] Plant Row Yield Trials by : Jason D. Neus

Download or read book Marker Assisted Selection for Seed Yield in Soybean [Glycine Max (L.) Merr.] Plant Row Yield Trials written by Jason D. Neus and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Assessing the Efficiency of Phenotypic and Molecular Genotype Selection Methods for Complex Traits in Soybean

Author : Catherine Nyaguthii Nyinyi
Publisher :
ISBN 13 :
Total Pages : 113 pages
Book Rating : 4.:/5 (793 download)

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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.

The Identification of Quantitative Trait Loci for Sucrose and Stachyose Content in Soybean Seed

Author : Ailan Zeng
Publisher :
ISBN 13 : 9781267537959
Total Pages : 176 pages
Book Rating : 4.5/5 (379 download)

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Book Synopsis The Identification of Quantitative Trait Loci for Sucrose and Stachyose Content in Soybean Seed by : Ailan Zeng

Download or read book The Identification of Quantitative Trait Loci for Sucrose and Stachyose Content in Soybean Seed written by Ailan Zeng and published by . This book was released on 2012 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sucrose is a desirable sugar in soybean seed that affects the quality and taste of soyfoods, while stachyose is a non-digestible sugar that induces flatulence in non-ruminant animals. Therefore, soybean cultivars with high sucrose and/or low stachyose would be valuable for soyfood and meal markets. The objectives of this study were to identify quantitative trait loci (QTL) or genes associated with seed sucrose and stachyose content using simple sequence repeat (SSR) or single nucleotide polymorphism (SNP) markers. A low sucrose line, MFS-553, was crossed with a high sucrose plant introduction, PI 243545, to develop the sucrose QTL mapping population. A total of 626 random SSR plus 5361 SNP markers covering 20 soybean chromosomes were used to screen the parents MFS-553 and PI 243545, 209 SSR and 2016 SNP markers were polymorphic, of which, 97 SSR markers were used to screen the F2:3 population and 2016 SNP markers were used to screen the F3:4 population derived from MFS-553 x PI 243545. A normal stachyose cultivar, Osage, was crossed with a low stachyose line, V99-5089, to develop F3 mapping population for genetic study of stachyose content. A total of 34 SSR and 56 SNP markers on chromosome 10 and 11 were used to screen the parents Osage and V99-5089, 10 SSR and 18 SNP markers were polymorphic. Of these, 5 SSR and 16 SNP markers were used to screen the F3:4 lines derived from Osage x V99-5089. For phenotyping the sugar profile, seed of F2:3, F3:5 and F3:6 lines from MFS-553 x PI 243545 and seed of F3:5 and F3:6 lines from Osage x V99-5089 were analyzed for sucrose and stachyose using high performance liquid chromatography (HPLC). The sucrose content in MFS-553 x PI 243545 cross fitted to a normal distribution whereas stachyose content in Osage x V99-5089 appeared to fit to a bimodal distribution. Composite interval mapping (CIM) and multiple interval mapping (MIM) were performed to map the QTLs in the MFS-553 x PI 243545 population. Three QTLs for seed sucrose were mapped to chromosome 5, 9, and 16, explaining 46%, 10% and 8% of phenotypic variation for sucrose content, respectively. For the stachyose mapping, data revealed a major and a minor QTL on chromosome 11 and 10 explaining 81% and 11% of phenotypic variation for stachyose content, respectively. Chi-square tests further indicated that these two QTL represent two independent genes for stachyose content. Molecular markers and QTL/genes for sucrose or stachyose content identified from this study can be used for marker assisted selection in breeding soybean lines with desired sugar profile.

Confirming QTL for Seed Yield from Exotic Soybean Germplasm

Author : Charles C. Hendrix
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (776 download)

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Book Synopsis Confirming QTL for Seed Yield from Exotic Soybean Germplasm by : Charles C. Hendrix

Download or read book Confirming QTL for Seed Yield from Exotic Soybean Germplasm written by Charles C. Hendrix and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Evaluation of QTL Alleles from Wild Glycine Soja that Increase Protein Content in Glycine Max

Author : Audrey Marie Sebolt
Publisher :
ISBN 13 :
Total Pages : 124 pages
Book Rating : 4.3/5 (129 download)

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Book Synopsis Evaluation of QTL Alleles from Wild Glycine Soja that Increase Protein Content in Glycine Max by : Audrey Marie Sebolt

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:

RFLP Mapping of Quantitative Trait Loci for Reproductive, Morphological, and Seed Traits of Soybean (Glycine Max L.) Across Environments

Download RFLP Mapping of Quantitative Trait Loci for Reproductive, Morphological, and Seed Traits of Soybean (Glycine Max L.) Across Environments PDF Online Free

Author : Heike Kross
Publisher :
ISBN 13 :
Total Pages : 174 pages
Book Rating : 4.:/5 (333 download)

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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: