Water Deficit Effect on the Relationship between Temperature during the Seed Fill Period and Soybean Seed Oil and Protein Concentrations

Carrera, Constanza Soledad; Martínez, María José; Dardanelli, J. L.; Balzarini, Mónica

doi:10.2135/cropsci2008.06.0361

Cited by 72 publications

(82 citation statements)

References 26 publications

(80 reference statements)

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“…From the daily climatic data, the following variables were generated for each environment: average daily mean air temperature during seed filling (Tm R5R7 ); cumulative solar radiation during seed filling (Sr R5R7 ), calculated as the sum of daily solar radiation in that period; and precipitation minus potential evapotranspiration during the whole reproductive period (pp-PET R1R7 ). The variable pp-PET R1R7 was used as a simple indicator of water availability in the evaluated period, since water balance from the whole reproductive period considers water storage in the soil profile, which could influence water availability during grain filling (Carrera et al, 2009).…”

Section: Methodsmentioning

confidence: 99%

“…It has been widely documented that soybean seed composition varies with environmental factors, especially during the seed filling period when accumulation of the seed chemical components occurs (Wolf et al, 1982;Wilson, 2004;Carrera et al, 2009Carrera et al, , 2011. The relationship of protein contents (the sum of all amino acids) with temperature (Piper & Boote, 1999;Wilson, 2004) and water availability (Rose, 1988;Boydak et al, 2002;Kumar et al, 2006;Carrera et al, 2009) has also been studied, but results have shown dissimilar patterns.…”

Section: Introductionmentioning

confidence: 99%

“…The relationship of protein contents (the sum of all amino acids) with temperature (Piper & Boote, 1999;Wilson, 2004) and water availability (Rose, 1988;Boydak et al, 2002;Kumar et al, 2006;Carrera et al, 2009) has also been studied, but results have shown dissimilar patterns. Therefore, it is interesting to analyze the response of each amino acid to different climatic variables, because their behavior could contribute to explain these discrepancies.…”

Section: Introductionmentioning

confidence: 99%

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Amino acid composition of soybean seeds as affected by climatic variables

Carrera¹,

Reynoso

Funes

et al. 2011

Pesq. agropec. bras.

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-The objective of this work was to perform a quantitative analysis of the amino acid composition of soybean seeds as affected by climatic variables during seed filling. Amino acids were determined from seed samples taken at harvest in 31 multi-environment field trials carried out in Argentina. Total amino acids ranged from 31.69 to 49.14%, and total essential and nonessential amino acids varied from 12.83 to 19.02% and from 18.86 to 31.15%, respectively. Variance components expressed as the percentage of total variation showed that the environment was the most important source of variation for all traits, followed by the genotype x environment interaction. Significant explanatory linear regressions were detected for amino acid content regarding: average daily mean air temperature and cumulative solar radiation, during seed filling; precipitation minus potential evapotranspiration, during the whole reproductive period; and the combinations of these climatic variables. Each amino acid behaves differently according to environmental conditions, indicating compensatory effects among them.Index terms: Glycine max, environmental variation, multiple linear regression, multi-environment trials, protein composition. Conteúdo de aminoácidos em sementes de soja em função de variáveis climáticasResumo -O objetivo deste trabalho foi realizar uma análise quantitativa da composição de aminoácidos de sementes de soja em função de variáveis climáticas, durante o período de formação do grão. Foram analisados os aminoácidos de amostras de sementes colhidas no momento da colheita a partir de 31 ensaios multiambientais realizados a campo na Argentina. Os aminoácidos totais variaram de 31,69 a 49,14%, e o total de aminoácidos essenciais e não essenciais variou de 12,83 a 19,02% e de 18,86 a 31,15%, respectivamente. Os componentes de variância expressos como percentagem da variação total mostraram que o ambiente foi a fonte de variação mais importante, seguido da interação genótipo x ambiente. Regressões lineares significativas foram detectadas para o conteúdo de aminoácidos em relação a: temperatura média diária do ar e radiação solar acumulada, durante a formação dos grãos; precipitação menos evapotranspiração potencial, durante todo o período reprodutivo; e combinações dessas variáveis climáticas. Cada aminoácido comporta-se de forma diferente de acordo com as variações nas condições ambientais, o que indica efeitos compensatórios entre eles.Termos para indexação: Glycine max, variação ambiental, regressão linear múltipla, ensaios multiambientais, composição de proteínas.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Amino acid composition of soybean seeds as affected by climatic variables

Carrera¹,

Reynoso

Funes

et al. 2011

Pesq. agropec. bras.

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“…In Argentina the grain quality is of great interest since 73% of the soybean production is exported as processed soybean meal and oil, making Argentina the world's leading exporter of these specialties (Carrera et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Elaboration process, chemical and sensory analyses of fried-salted soybean

Gayol¹,

Riveros²,

Jáuregui³

et al. 2010

Grasas y Aceites

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FSS4. The product with the highest consumer acceptance (7 = "like moderately" in a hedonic scale of 9 points) was the one obtained by maceration at 100°C during 10 min and fried at 170°C for 5 min (FSS3). Proximate and fatty acid composition along with sensory attribute intensity ratings from descriptive analyses were determined on the fried-salted soybean with the highest consumer acceptance (FSS3). Proximate and fatty acid composition were also determined in raw soybeans. FSS3 had lower percentages of moisture and proteins, and higher lipids and carbohydrates than raw soybean. The use of sunflower oil in the frying process improved the fatty acid composition of the soybean product. Sensory attributes from descriptive analyses that were detected in high intensity ratings for the product were roasted, salty, crunchiness, hardness, brown color and gloss. This product is neither commonly consumed nor easily available in markets. It could be promoted to be consumed as a snack because of its high nutritional and sensory quality.

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“…Many researchers determined that the amount of protein decreases with soil water deficit (Specht et al 2001, Boydak et al 2002, Carrera et al 2009). Contrarily, Kumar et al (2006) and Rotundo and Westgate (2010) found that the protein content increases with increasing water deficit.…”

mentioning

confidence: 99%

Yield and chemical composition of soybean seed under different irrigation regimes in the Vojvodina region

Kresović¹,

Gajić²,

Tapanarova³

et al. 2017

Plant Soil Environ.

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The goal of the present research is to determine an effective sprinkler irrigation strategy for soybean [Glycine max (L.) Merr.] in temperate climate conditions, in order to maximize yields and seed quality. A three-year field experiment with four different irrigation treatments was conducted on Calcic Chernozem in the Vojvodina region of Serbia. The irrigation regimes included: no irrigation; full irrigation (I100); and two deficit irrigation treatments – 65% of I100 (I65) and 40% of I100. The irrigation treatments generally had a statistically significant effect on the increase of soybean yield and protein content. Irrigation did not have a significant effect on the oil content. In general, irrigation increased K, P, Mg, Mn, Cu, Zn and B concentrations and decreased Ca and Fe concentrations in soybean seed. The results show that irrigation with the largest amount of water (treatment I100) provided no potential benefit in terms of soybean yield and chemical composition. Treatment I65, which exhibited the most favourable watering conditions, is the best choice to maximize yield and ensure a good chemical composition of soybean under these agroecological conditions.

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Water Deficit Effect on the Relationship between Temperature during the Seed Fill Period and Soybean Seed Oil and Protein Concentrations

Cited by 72 publications

References 26 publications

Amino acid composition of soybean seeds as affected by climatic variables

Amino acid composition of soybean seeds as affected by climatic variables

Elaboration process, chemical and sensory analyses of fried-salted soybean

Yield and chemical composition of soybean seed under different irrigation regimes in the Vojvodina region

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