Evaluation of Four Biparental Soybean Populations for Identification of Seed Oil QTL, Cytoplasmic Effects, and Genotype X Environment Interactions PDF Download
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Author: Joseph Jedlicka
Publisher:
ISBN: 9781321298949
Category : Soybean
Languages : en
Pages : 162
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Book Description
Soybean [Glycine max (L.) Merr.] seeds are comprised of oils, proteins, and carbohydrates. The oil biosynthesis and storage pathways are complex and involve the cytoplasm, which is inherited maternally in soybean. Two pairs of populations were developed to characterize the high-oil phenotype. The first pair was created from a mating between each of two high-oil lines and Williams 82, and the second pair of populations was created by mating high-oil lines with high-oil lines. The objectives were to (1) determine if cytoplasmic effects were detectable for seed oil concentration, (2) evaluate estimates for heritability and genotypic and phenotypic correlations for seed oil, protein, oil+protein concentration, yield, and 100-seed weight, (3) characterize genotype x environment interactions for seed oil concentration, (4) perform QTL analyses for seed oil, protein, oil+protein concentration, yield, and 100-seed weight, and (5) perform a candidate gene analysis in QTL regions to identify putative genes responsible for oil biosynthesis and storage. The results indicated evidence for significant cytoplasmic effects for total oil concentration. The correlations between seed oil and protein concentrations were consistent with other studies, as were heritability estimates for all traits. Results for all four populations showed significant genotype x environment interactions for seed oil concentration, and stability analyses identified individuals that represent Type 1 or Type 2 stability. The QTL analyses indicated that the two high-oil lines that were crossed with Williams 82 had different sets of alleles responsible for increasing oil. The analyses also indicated that the two high-oil line x high-oil line cross populations had different sets of alleles responsible for oil concentration. All parents contributed alleles for increasing progeny oil, protein, oil+protein concentration, and yield. All but one parent contributed alleles for increasing 100-seed weight. One genomic region was identified that was associated with all traits. Candidate genes were identified that may be causative genes for the oil QTL, which include genes with Arabidopsis thaliana homologs for DGAT enzymes.
Author: Joseph Jedlicka
Publisher:
ISBN: 9781321298949
Category : Soybean
Languages : en
Pages : 162
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Book Description
Soybean [Glycine max (L.) Merr.] seeds are comprised of oils, proteins, and carbohydrates. The oil biosynthesis and storage pathways are complex and involve the cytoplasm, which is inherited maternally in soybean. Two pairs of populations were developed to characterize the high-oil phenotype. The first pair was created from a mating between each of two high-oil lines and Williams 82, and the second pair of populations was created by mating high-oil lines with high-oil lines. The objectives were to (1) determine if cytoplasmic effects were detectable for seed oil concentration, (2) evaluate estimates for heritability and genotypic and phenotypic correlations for seed oil, protein, oil+protein concentration, yield, and 100-seed weight, (3) characterize genotype x environment interactions for seed oil concentration, (4) perform QTL analyses for seed oil, protein, oil+protein concentration, yield, and 100-seed weight, and (5) perform a candidate gene analysis in QTL regions to identify putative genes responsible for oil biosynthesis and storage. The results indicated evidence for significant cytoplasmic effects for total oil concentration. The correlations between seed oil and protein concentrations were consistent with other studies, as were heritability estimates for all traits. Results for all four populations showed significant genotype x environment interactions for seed oil concentration, and stability analyses identified individuals that represent Type 1 or Type 2 stability. The QTL analyses indicated that the two high-oil lines that were crossed with Williams 82 had different sets of alleles responsible for increasing oil. The analyses also indicated that the two high-oil line x high-oil line cross populations had different sets of alleles responsible for oil concentration. All parents contributed alleles for increasing progeny oil, protein, oil+protein concentration, and yield. All but one parent contributed alleles for increasing 100-seed weight. One genomic region was identified that was associated with all traits. Candidate genes were identified that may be causative genes for the oil QTL, which include genes with Arabidopsis thaliana homologs for DGAT enzymes.
![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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![Identification of Quantitative Trait Loci (QTL) and Genes Associated with Seed Isoflavone Concentration in Soybean (Glycine Max [L] Merril.). PDF](https://books.google.com/books/content/images/frontcover/3G57zgEACAAJ?fife=w80-h100)
Author: Adam Carter
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
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.
Author: Joel Hemingway
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Soybean (Glycine max [L.] Merrill) oil is an economically important commodity worldwide with many uses. High levels of polyunsaturated fatty acids cause oxidative instability of the oil; however, the DP-3054231-1 transgene confers elevated oleic acid concentrations resulting in oil with increased oxidative stability. The first objective of this thesis was to study the effects of the DP-305423-1 transgene on agronomic and seed traits across multiple genetic backgrounds and environments. An equal number of high oleic (HO) and normal oleic (NO) BC1F4:F6 progeny from four unique populations were grown at four locations in Southern Ontario and two in Northern Iowa. Overall, the difference in mean yield between the HO and NO progeny varied across populations and locations and the HO progeny consistently had lower mean oil concentration and greater mean protein concentration. Differences in 100-seed weight were not consistent across populations or locations. Genomic selection (GS) has been shown to be a valuable tool for performing selection on complex quantitative traits, such as seed oil concentration in soybean. The second objective of the thesis was to evaluate multiple GS models for seed oil concentration using a low-density marker panel in bi-parental, high oleic soybean populations and compare prediction accuracies of six unique training populations (TPs). Prediction accuracy was calculated as the Pearson correlation coefficient between the predicted value of an individual and the 'true' phenotypic value, as determined through multi location field testing. Genomic best linear unbiased predictor (GBLUP) produced the greatest predictability across all populations and training sets, compared to BayesA and BayesB, which had similar predictive ability across populations. Generally, TPs consisting of more individuals had greater predictability; however, variations were observed across populations and models. TPs consisting of individuals from a single location had greater predictability of all genotypes than training populations of equal size comprised of individuals from both locations, indicating potential influence of marker x environment effects across training environments. These results show that genomic selection using a low marker density can be a valuable tool for increasing oil concentration in biparental high oleic, low linolenic soybeans populations.
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: 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.
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.
Author: Felipe Lopes da Silva
Publisher: Springer
ISBN: 3319574337
Category : Science
Languages : en
Pages : 439
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Book Description
This book was written by soybean experts to cluster in a single publication the most relevant and modern topics in soybean breeding. It is geared mainly to students and soybean breeders around the world. It is unique since it presents the challenges and opportunities faced by soybean breeders outside the temperate world.
Author:
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 2368
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Book Description
Author: Kurt Weising
Publisher: CRC Press
ISBN: 1420040049
Category : Science
Languages : en
Pages : 470
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Book Description
Given the explosive development of new molecular marker techniques over the last decade, newcomers and experts alike in the field of DNA fingerprinting will find an easy-to-follow guide to the multitude of techniques available in DNA Fingerprinting in Plants: Principles, Methods, and Applications, Second Edition. Along with step-by-step annotated p
