scholarly journals Genomic Regions Associated With Important Seed Quality Traits in Food-grade Soybeans

2020 ◽  
Author(s):  
Rachel M. Whiting ◽  
Sepideh Torabi ◽  
Lewis Lukens ◽  
Milad Eskandari
Keyword(s):  
Seed Weight ◽  
Protein Concentration ◽  
Seed Protein ◽  
Seed Quality ◽  
Value Added ◽  
Food Products ◽  
High Protein ◽  
Food Grade ◽  
Soybean Cultivars ◽  
Seed Protein Concentration

Abstract Background: The production of soy-based food products requires specific physical and chemical characteristics of the soybean seed. Identification of quantitative trait loci (QTL) associated with these traits, such as seed weight,seed protein and sucrose concentrations could accelerate the development of competitive high quality soybean cultivars for the food-grade market through marker-assisted selection (MAS). The objectives of this study were to identify and validate QTL associated with these value-added traits in two high-protein recombinant inbred line (RIL) populations. Results:Two RIL populations were derived from the high-protein cultivar ‘AC X790P’ (49% protein, dry weight basis), and two high-yielding commercial cultivars, ‘S18-R6’ (41% protein) and ‘S23-T5’ (42% protein). Fourteen large-effect QTL (R2>10%) associated with seed protein concentration were identified. Five of these protein-related QTLwere co-localized with QTL associated with seed sucrose concentration or seed weight. None of the protein-related QTL did not co-localize with seed yield QTL in either population. Sixteen candidate genes with putative roles in protein metabolism were identified within seven of these protein-related regions: qPro_Gm02-3, qPro_Gm04-4, qPro_Gm06-1, qPro_Gm06-3, qPro_Gm06-6, qPro_Gm13-4 and qPro-Gm15-3.Conclusion:The use of RIL populations derived from high-protein parents created a unique opportunity to identify novel QTL that may have been masked by large-effect QTL segregating in populations developed from diverse parental cultivars. Nine QTL associated with seed protein concentration were identified and validated in both high-protein RIL populations. These QTL may be useful in the curated selection of new soybean cultivars for optimized soy-based food products.

scholarly journals Genomic regions associated with important seed quality traits in food-grade soybeans

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Rachel M. Whiting ◽  
Sepideh Torabi ◽  
Lewis Lukens ◽  
Milad Eskandari
Keyword(s):  
Seed Weight ◽  
Seed Protein ◽  
Seed Quality ◽  
Sucrose Concentration ◽  
Value Added ◽  
Food Products ◽  
High Protein ◽  
Food Grade ◽  
Soybean Cultivars ◽  
Seed Protein Concentration

Abstract Background The production of soy-based food products requires specific physical and chemical characteristics of the soybean seed. Identification of quantitative trait loci (QTL) associated with value-added traits, such as seed weight, seed protein and sucrose concentration, could accelerate the development of competitive high-protein soybean cultivars for the food-grade market through marker-assisted selection (MAS). The objectives of this study were to identify and validate QTL associated with these value-added traits in two high-protein recombinant inbred line (RIL) populations. Results The RIL populations were derived from the high-protein cultivar ‘AC X790P’ (49% protein, dry weight basis), and two high-yielding commercial cultivars, ‘S18-R6’ (41% protein) and ‘S23-T5’ (42% protein). Fourteen large-effect QTL (R2 > 10%) were identified associated with seed protein concentration. Of these QTL, seven QTL were detected in both populations, and eight of them were co-localized with QTL associated with either seed sucrose concentration or seed weight. None of the protein-related QTL was found to be associated with seed yield in either population. Sixteen candidate genes with putative roles in protein metabolism were identified within seven of these protein-related regions: qPro_Gm02–3, qPro_Gm04–4, qPro_Gm06–1, qPro_Gm06–3, qPro_Gm06–6, qPro_Gm13–4 and qPro-Gm15–3. Conclusion The use of RIL populations derived from high-protein parents created an opportunity to identify four novel QTL that may have been masked by large-effect QTL segregating in populations developed from diverse parental cultivars. In total, we have identified nine protein QTL that were detected either in both populations in the current study or reported in other studies. These QTL may be useful in the curated selection of new soybean cultivars for optimized soy-based food products.

scholarly journals Genomic Regions Associated with Important Seed Quality Traits in Food-grade Soybeans

2020 ◽  
Author(s):  
Rachel M. Whiting ◽  
Sepideh Torabi ◽  
Lewis Lukens ◽  
Mehrzad Eskandari
Keyword(s):  
Seed Weight ◽  
Seed Protein ◽  
Seed Quality ◽  
Sucrose Concentration ◽  
Value Added ◽  
Food Products ◽  
High Protein ◽  
Food Grade ◽  
Soybean Cultivars ◽  
Seed Protein Concentration

Abstract Background: The production of soy-based food products requires specific physical and chemical characteristics of the soybean seed. Identification of quantitative trait loci (QTL) associated with value-added traits, such as seed weight, seed protein and sucrose concentration, could accelerate the development of competitive high-protein soybean cultivars for the food-grade market through marker-assisted selection (MAS). The objectives of this study were to identify and validate QTL associated with these value-added traits in two high-protein recombinant inbred line (RIL) populations. Results: The RIL populations were derived from the high-protein cultivar ‘AC X790P’ (49% protein, dry weight basis), and two high-yielding commercial cultivars, ‘S18-R6’ (41% protein) and ‘S23-T5’ (42% protein). Fourteen large-effect QTL (R2 >10%) were identified associated with seed protein concentration. Of these QTL, seven QTL were detected in both populations, and eight of them were co-localized with QTL associated with either seed sucrose concentration or seed weight. None of the protein-related QTL was found to be associated with seed yield in either population. Sixteen candidate genes with putative roles in protein metabolism were identified within seven of these protein-related regions: qPro_Gm02-3, qPro_Gm04-4, qPro_Gm06-1, qPro_Gm06-3, qPro_Gm06-6, qPro_Gm13-4 and qPro-Gm15-3.Conclusion: The use of RIL populations derived from high-protein parents created an opportunity to identify four novel QTL that may have been masked by large-effect QTL segregating in populations developed from diverse parental cultivars. In total, we have identified nine protein QTL that were detected either in both populations in the current study or reported in other studies. These QTL may be useful in the curated selection of new soybean cultivars for optimized soy-based food products.

scholarly journals Genomic Regions Associated with Important Seed Quality Traits in Food-grade Soybeans

2020 ◽  
Author(s):  
Rachel M. Whiting ◽  
Sepideh Torabi ◽  
Lewis Lukens ◽  
Mehrzad Eskandari
Keyword(s):  
Seed Weight ◽  
Seed Protein ◽  
Seed Quality ◽  
Sucrose Concentration ◽  
Value Added ◽  
Food Products ◽  
High Protein ◽  
Food Grade ◽  
Soybean Cultivars ◽  
Seed Protein Concentration

Abstract Background: The production of soy-based food products requires specific physical and chemical characteristics of the soybean seed. Identification of quantitative trait loci (QTL) associated with value-added traits, such as seed weight, seed protein and sucrose concentration, could accelerate the development of competitive high-protein soybean cultivars for the food-grade market through marker-assisted selection (MAS). The objectives of this study were to identify and validate QTL associated with these value-added traits in two high-protein recombinant inbred line (RIL) populations.Results: The RIL populations were derived from the high-protein cultivar ‘AC X790P’ (49% protein, dry weight basis), and two high-yielding commercial cultivars, ‘S18-R6’ (41% protein) and ‘S23-T5’ (42% protein). Fourteen large-effect QTL (R 2 >10%) were identified associated with seed protein concentration. Of these QTL, seven QTL were detected in both populations, and eight of them were co-localized with QTL associated with either seed sucrose concentration or seed weight. None of the protein-related QTL was found to be associated with seed yield in either population. Sixteen candidate genes with putative roles in protein metabolism were identified within seven of these protein-related regions: qPro_Gm02-3, qPro_Gm04-4, qPro_Gm06-1, qPro_Gm06-3, qPro_Gm06-6, qPro_Gm13-4 and qPro-Gm15-3.Conclusion: The use of RIL populations derived from high-protein parents created an opportunity to identify four novel QTL that may have been masked by large-effect QTL segregating in populations developed from diverse parental cultivars. In total, we have identified nine protein QTL that were detected either in both populations in the current study or reported in other studies. These QTL may be useful in the curated selection of new soybean cultivars for optimized soy-based food products.

scholarly journals Genomic Regions Associated with Important Seed Quality Traits in Food-grade Soybeans

2020 ◽  
Author(s):  
Rachel M. Whiting ◽  
Sepideh Torabi ◽  
Lewis Lukens ◽  
Mehrzad Eskandari
Keyword(s):  
Seed Weight ◽  
Seed Protein ◽  
Seed Quality ◽  
Sucrose Concentration ◽  
Value Added ◽  
Food Products ◽  
High Protein ◽  
Food Grade ◽  
Soybean Cultivars ◽  
Seed Protein Concentration

Abstract Background: The production of soy-based food products requires specific physical and chemical characteristics of the soybean seed. Identification of quantitative trait loci (QTL) associated with value-added traits, such as seed weight, seed protein and sucrose concentration, could accelerate the development of competitive high-protein soybean cultivars for the food-grade market through marker-assisted selection (MAS). The objectives of this study were to identify and validate QTL associated with these value-added traits in two high-protein recombinant inbred line (RIL) populations.Results: The RIL populations were derived from the high-protein cultivar ‘AC X790P’ (49% protein, dry weight basis), and two high-yielding commercial cultivars, ‘S18-R6’ (41% protein) and ‘S23-T5’ (42% protein). Fourteen large-effect QTL (R2 >10%) were identified associated with seed protein concentration. Of these QTL, seven QTL were detected in both populations, and eight of them were co-localized with QTL associated with either seed sucrose concentration or seed weight. None of the protein-related QTL was found to be associated with seed yield in either population. Sixteen candidate genes with putative roles in protein metabolism were identified within seven of these protein-related regions: qPro_Gm02-3, qPro_Gm04-4, qPro_Gm06-1, qPro_Gm06-3, qPro_Gm06-6, qPro_Gm13-4 and qPro-Gm15-3.Conclusion: The use of RIL populations derived from high-protein parents created an opportunity to identify four novel QTL that may have been masked by large-effect QTL segregating in populations developed from diverse parental cultivars. In total, we have identified nine protein QTL that were detected either in both populations in the current study or reported in other studies. These QTL may be useful in the curated selection of new soybean cultivars for optimized soy-based food products.

Effects of defoliation on seed protein concentration in normal and high protein lines of soybean

1995 ◽  
Vol 172 (1) ◽  
pp. 131-139 ◽  
Author(s):  
J. W. Burton ◽  
D. W. Israel ◽  
R. F. Wilson ◽  
T. E. Carter
Keyword(s):  
Protein Concentration ◽  
Seed Protein ◽  
High Protein ◽  
Seed Protein Concentration

OAC Bruton soybean

2018 ◽  
Vol 98 (6) ◽  
pp. 1389-1391
Author(s):  
S. Torabi ◽  
B.T. Stirling ◽  
J. Kobler ◽  
M. Eskandari
Keyword(s):  
Soybean Cyst Nematode ◽  
Protein Concentration ◽  
Seed Protein ◽  
Cyst Nematode ◽  
Yield Potential ◽  
High Yield ◽  
Seed Protein Concentration ◽  
Glycine Max L ◽  
Group 1 ◽  
High Yield Potential

OAC Bruton is an indeterminate large-seeded food-grade soybean [Glycine max (L.) Merr.] cultivar with high yield potential, high seed protein concentration, and resistance to soybean cyst nematode (SCN). OAC Bruton is developed and recommended for soybean growing areas in southwestern Ontario with 2950 or greater crop heat units. OAC Bruton is classified as a maturity group 1 (MG1) cultivar with a relative maturity of 1.8.

Regulation of Seed Protein Concentration in Soybean by Supra-Optimal Nitrogen Supply

Crop Science ◽  
2000 ◽  
Vol 40 (5) ◽  
pp. 1277-1284 ◽  
Author(s):  
Sutkhet Nakasathien ◽  
Daniel W. Israel ◽  
Richard F. Wilson ◽  
Prachuab Kwanyuen
Keyword(s):  
Protein Concentration ◽  
Seed Protein ◽  
Nitrogen Supply ◽  
Seed Protein Concentration
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