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

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.

Leaf Photosynthesis and Senescence in Heated and Droughted Field-grown Soybean with Contrasting Seed Protein Concentration

2021 ◽  
Author(s):  
Verónica V. Ergo ◽  
Rodolfo E. Veas ◽  
Claudia R.C. Vega ◽  
Ramiro Lascano ◽  
Constanza S. Carrera
Keyword(s):  
Protein Concentration ◽  
Seed Protein ◽  
Leaf Photosynthesis ◽  
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

OAC ARTHUR soybean

2001 ◽  
Vol 81 (3) ◽  
pp. 439-440
Author(s):  
J. W. Tanner ◽  
I. Rajcan ◽  
B. M. Luzzi ◽  
P. Gostovic ◽  
W. Montminy ◽  
...  
Keyword(s):  
Glycine Max ◽  
Key Words ◽  
Protein Concentration ◽  
Seed Protein ◽  
Soybean Cultivar ◽  
Heat Unit ◽  
Seed Protein Concentration ◽  
Glycine Max L ◽  
Cultivar Description ◽  
Stalk Strength

OAC Arthur is a 2650 crop heat unit soybean [Glycine max (L.) Merr.] cultivar, which significantly out yielded the check cultivars, has adequate stalk strength and superior seed protein concentration. Key words: Soybean, cultivar description

scholarly journals Ozone Induced Loss of Seed Protein Accumulation Is Larger in Soybean than in Wheat and Rice

Agronomy ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 357 ◽  
Author(s):  
Malin Broberg ◽  
Sara Daun ◽  
Håkan Pleijel
Keyword(s):  
Seed Yield ◽  
Protein Concentration ◽  
Seed Protein ◽  
Negative Influence ◽  
Protein Yield ◽  
Protein Accumulation ◽  
N Fixation ◽  
Seed Protein Concentration ◽  
Different Response ◽  
Positive Effect

We investigated the effects of ozone (O3) on seed protein accumulation in soybean, rice, and wheat based on existing literature. We identified 30, 10, and 32 datasets meeting the requirements for soybean, rice, and wheat, respectively. Data for each crop were combined in response regressions for seed protein concentration, seed protein yield, and seed yield. Although seed yield in rice was less sensitive to O3 than in wheat, there was a significant positive effect of O3 on the seed protein concentration of the same magnitude in both crops. Soybean, an N-fixing high-protein crop, responded differently. Even though the effect on seed yield was similar to wheat, there was no indication of any effect of O3 on seed protein concentration in soybean. The negative influence of O3 on seed protein yield was statistically significant for soybean and wheat. The effect was larger for soybean (slope of response function: −0.58% per ppb O3) than for wheat (slope: −0.44% per ppb) and especially compared to rice (slope: −0.08% per ppb). The different response of protein concentration in soybean, likely to be associated with adverse O3 effects on N fixation, has large implications for global protein production because of the much higher absolute protein concentration in soybean.

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.

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