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 ◽  
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 (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 ◽  
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.

Effects of divergent selection for seed protein content in high-protein vs. food-grade populations of early maturity soybean

2013 ◽  
Vol 133 (1) ◽  
pp. 74-79 ◽  
Author(s):  
Takashi Sato ◽  
Melanie Van Schoote ◽  
Helmut Wagentristl ◽  
Johann Vollmann
Keyword(s):  
Protein Content ◽  
Seed Protein ◽  
Divergent Selection ◽  
High Protein ◽  
Seed Protein Content ◽  
Early Maturity ◽  
Food Grade ◽  
Selection For

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

Effects of four consecutive annual applications of elemental S and sulphate-S fertilizers on yield, S uptake and seed quality of wheat

2006 ◽  
Vol 86 (2) ◽  
pp. 399-412 ◽  
Author(s):  
S. S. Malhi
Keyword(s):  
Ammonium Sulphate ◽  
Seed Protein ◽  
Seed Quality ◽  
Wheat Yield ◽  
Triticum Aestivum L ◽  
Significant Response ◽  
S Uptake ◽  
Seed Protein Concentration ◽  
S Fertilizers

A field experiment from 1999 to 2002 was carried out near Tisdale in northeastern Saskatchewan on a S-deficient Gray Luvisol (Typic Cryoboralf) soil to compare the effects of elemental S and sulphate-S fertilizers on yield, seed protein, total S concentration, S uptake, and recovery of applied S in wheat (Triticum aestivum L.) and residual SO4-S in soil. Treatments were combinations of 10 and 20 kg S ha-1 rates applied in autumn and spring for two granular bentonitic elemental S fertilizers (ES- 90 and ES-95), one fertilizer containing both elemental S and sulphate-S (Agrium Plus), and ammonium sulphate, plus a zero-S control. The S fertilizers were surface-broadcast and all plots had a preseeding rotovation in spring to incorporate fertilizers into the soil. Seed (1 yr) and straw (3 yr) yield, seed protein concentration (1 yr), and total S concentration and S uptake in seed and straw (all years except uptake of S in seed in 2001 and 2002) showed significant response to S fertilization. Ammonium sulphate and Agrium Plus were generally more effective compared with the elemental S fertilizers, when there was a significant response to sulphate-S containing fertilizers. Autumn application of elemental S fertilizers was sometimes more effective than spring application, while an opposite trend was observed for sulphate-S containing fertilizers in some cases. The increase in S rate from 10 to 20 kg S ha-1 tended to increase the measured wheat parameters in many elemental S treatments, but for sulphate-S fertilizers the effect was less pronounced. The concentration of total S in seed and straw was relatively more responsive to S fertilization than yield and S uptake, particularly for seed. The effect of S fertilization on wheat was less pronounced in drought years, particularly on seed yield, suggesting that drought rather than S availability was limiting wheat growth. There was some build-up of residual SO4-S in the 0-60 cm depth of soil in many S fertilizer treatments after four successive applications, but there was little or no difference in soil SO4-S between elemental S and sulphate-S fertilizers. In conclusion, the results from four successive annual applications of elemental S and sulphate-S fertilizers in autumn and spring on the same area indicate that bentonitic granular elemental S fertilizers had comparatively less influence on wheat than granular sulphate-S fertilizers and further research to improve the effectiveness of these elemental S fertilizers is suggested. Key words: Elemental S, fertilizer, protein, seed quality, sulphate-S, wheat, yield

scholarly journals Sowing periods, agronomic performance and seed quality of soybean cultivars in the Planosol soil

2019 ◽  
Vol 13 ((03) 2019) ◽  
pp. 348-353
Author(s):  
Geison Rodrigo Aisenberg ◽  
Felipe Koch ◽  
Gustavo Zimmer ◽  
Gustavo Henrique Demari ◽  
Vinícius Jardel Szareski ◽  
...  
Keyword(s):  
Seed Weight ◽  
Seed Quality ◽  
Climatic Conditions ◽  
Stem Diameter ◽  
Soybean Seeds ◽  
Morphological Attributes ◽  
Soybean Cultivars ◽  
Physiological Quality ◽  
Soybean Plants

Understanding of sowing in an ideal season for each region and cultivar is essential for the crop to reach each of its stages in more favorable climatic conditions. The objective of this study was to evaluate the influence of different sowing times on agronomic attributes of two soybean cultivars and the physiological quality of soybean seeds in soil type Eutrophic Haplic Planosol. The experimental design was completely randomized, in a factorial scheme 4 x 2, with four sowing times and two soybean cultivars, with eight replications. The sowing was executed at the beginning and end of November (1st and 2nd epochs) and beginning and end of January (3rd and 4th epochs), using the cultivars: Fundacep 64 RR and BMX Potência RR. The experiment was carried out in polyethylene vessels with volumetric capacity of 10 liters. The morphological attributes of the plants were evaluated, such as: height, stem diameter, number of pods and seeds per plant, 1000 seed weight, as well as seed germination and vigor. Seeding after January 1st negatively affected the agronomic behavior of soybean plants, with reduction of plant height, stem diameter, number of pods and seeds per plant. The sowing on November 1st favored the obtaining of seeds with lower physical quality in terms of 1000 seed weight; however, seeds with superior physiological performance. Late sowing showed an alternative for the production of soybean seeds in the South region of Rio Grande do Sul, mainly due to the higher quality of the seeds produced in this period.

Sign in / Sign up

Export Citation Format

Share Document