The effect of environmental conditions on the chemical composition of soybean seeds: Relationship between the protein, oil, carbohydrate and trypsin inhibitor content

Sakla, Alfy Badie; Ghali, Y.; El-Farra, A.; Rizk, Laila F.

doi:10.1016/0308-8146(88)90135-5

Cited by 9 publications

(4 citation statements)

References 3 publications

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“…Similarly, in lupin seeds, a negative correlation was reported between CP and starch content (Straková et al 2006). The negative correlation between protein and fat found in our study is in line with previous reports in soybean (Sakla et al 1988;Tajuddin et al 2003;Haghi et al 2012;Qin et al 2014).…”

Section: Discussionsupporting

confidence: 82%

“…In another study, a significant negative correlation of sucrose with protein has been reported in soybean (Li et al 2012). A significant positive correlation of soybean carbohydrates was found with oil whereas a significant negative correlation was shown with protein (Sakla et al 1988). The total sugar and oil contents in soybean seeds were positively correlated with each other but negatively correlated with protein concentration (Openshaw and Hadley 1978).…”

Section: Discussionmentioning

confidence: 66%

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Environmental Stability and Correlation of Soybean Seed Starch with Protein and Oil Contents

Dhungana

Kulkarni

Kim

et al. 2017

Plant Breed. Biotech.

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This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. ABSTRACT Seed starch content (SSC) is a decisive factor influencing soy food quality. Variation in SSC affects the composition of major components, oil, and protein in soybean seeds. Therefore, understanding G × E interaction of SSC is important to produce soybeans with stable SSC. In the present study, G × E interactions of 17 soybean genotypes having different SSC (0.24-1.48%) and correlation of SSC with crude protein (CP) and crude fat (CF) were investigated. The genotypes were evaluated for SSC and other traits at two planting dates across three locations over two years (2015 and 2016). The genotype × year, genotype × location, and genotype × year × location interactions were found to be significant (P ≤ 0.001) for SSC, CP, and CF. The average SSC content was found to be higher in 2015 than in 2016. Late planted soybeans contained higher SSC than the early planting soybeans. The SSC was negatively affected by the average daily mean and minimum temperatures and cloudiness during the pod-filling stage. Based on the mean rank, IT189276 (1.39%) was observed to be the most stable genotype among the high starch containing soybeans. Significant (P ≤ 0.0001) negative correlations were found between SSC and CP as well as CP and CF contents. However, a significant (P ≤ 0.05) positive correlation was observed between SSC and CF content. Results of this study showed that SSC affects the seed protein and oil contents and is significantly influenced by the growing environments.

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Section: Discussionsupporting

confidence: 82%

Section: Discussionmentioning

confidence: 66%

Environmental Stability and Correlation of Soybean Seed Starch with Protein and Oil Contents

Dhungana

Kulkarni

Kim

et al. 2017

Plant Breed. Biotech.

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“…According to the strong linear inverse relationship between protein and oil documented by several authors (Sakla and Ghali, 1988; Wilcox and Shibles, 2001; Wilson, 2004), we expected high oil yielding environments being those with smaller protein contents or vice versa, and consequently similar magnitude for oil and protein interaction effects. However, for protein, a higher MG × E interaction effect than for oil was found, and two or three ME were identified in all crop seasons.…”

Section: Discussionmentioning

confidence: 65%

Soybean Maturity Groups, Environments, and Their Interaction Define Mega‐environments for Seed Composition in Argentina

Dardanelli¹,

Balzarini²,

Martínez³

et al. 2006

Crop Science

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Argentina is the largest soybean [Glycine max (L.) Merrill] meal and oil exporter in the world, with crops covering a 23°to 39°S latitude range, allowing the presence of genotypes from different maturity groups (MG). Multi-environment yield trials (MET) for commercial cultivars are conducted each year across the crop area. The aim of this paper was to evaluate the consistency of MG effects and its interaction with environments (E), first to investigate if different mega-environments (ME) for oil, protein, and oil 1 protein exist in Argentina, and second to identify superior MG regarding these traits. We analyzed a 3-yr series of oil and protein data from MET involving six MG and more than 14 E per year. Statistical analysis was based on ANOVA and graphical displays from E-centered biplots to explore MG-related effects and to identify ME. No ME were identified for oil content because of MG II, III, and IV showed higher content than other groups in every E. Two or three ME (depending on the growing season) were identified for protein and oil 1 protein contents; in one of them MG VI cultivars had the highest value of these compounds whereas in the other set of E, higher yielding cultivars were from MG II-III. The oil variations among E depended mainly on MG effects suggesting broad adaptations of short MG, whereas MG 3 E interaction effects for protein and oil 1 protein were higher than for oil, and enough to create opportunities for handling environment-specific adaptations.

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“…Previous studies have shown that the planting location often had a greater influence on the chemical composition of crops [e.g., peanut (Arachis hypogaea L.), amaranth (Amaranthus cruentus)] than genotype (Eheart et al, 1955;Berganza et al, 2003). Sakla et al (1988) have evaluated the environmental effects on the chemical composition of three soybean varieties. The results showed that significantly different moisture, oil, carbohydrates, sucrose, and protein contents were due to the localities.…”

Section: Introductionmentioning

confidence: 99%

Chemical Compositions of Edamame Genotypes Grown in Different Locations in the US

Lin

Sutton

et al. 2021

Front. Sustain. Food Syst.

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The consumption of edamame [Glycine max (L.) Merr.] in the US has rapidly increased due to its nutritional value and potential health benefits. In this study, 10 edamame genotypes were planted in duplicates in three different locations in the US—Whitethorne, Virginia (VA), Little Rock, Arkansas (AR), and Painter, VA. Edamame samples were harvested at the R6 stage of the bean development when beans filled 80–90% of the pod cavity. Afterward, comprehensive chemical composition analysis, including sugars, alanine, protein, oil, neutral detergent fiber (NDF), starch, ash, and moisture contents, were conducted on powdered samples using standard methods and the total sweetness was calculated based on the measured sugars and alanine contents. Significant effects of the location were observed on all chemical constituents of edamame (p < 0.05). The average performance of the genotypes was higher in Whitethorne for the contents of free sucrose (59.29 mg/g), fructose (11.42 mg/g), glucose (5.38 mg/g), raffinose (5.32 mg/g), stachyose (2.34 mg/g), total sweetness (78.63 mg/g), and starch (15.14%) when compared to Little Rock and Painter. The highest soluble alanine (2.67 mg/g), NDF (9.00%), ash (5.60%), and moisture (70.36%) contents were found on edamame planted in Little Rock while edamame planted in Painter had the highest crude protein (43.11%) and oil (20.33%) contents. Significant effects of genotype were observed on most of the chemical constituents (p < 0.05) except NDF and raffinose. Among the 10 genotypes, R13-5029 consistently had high sucrose content and total sweetness across the three locations, meanwhile it had relatively high protein and fiber contents. Overall, the results indicate that to breed better edamame genotypes in the US, both genotype and planting location should be taken into considerations.

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The effect of environmental conditions on the chemical composition of soybean seeds: Relationship between the protein, oil, carbohydrate and trypsin inhibitor content

Cited by 9 publications

References 3 publications

Environmental Stability and Correlation of Soybean Seed Starch with Protein and Oil Contents

Environmental Stability and Correlation of Soybean Seed Starch with Protein and Oil Contents

Soybean Maturity Groups, Environments, and Their Interaction Define Mega‐environments for Seed Composition in Argentina

Chemical Compositions of Edamame Genotypes Grown in Different Locations in the US

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