Genotypic and environmental variation in seed nutraceutical and industrial composition of non-transgenic soybean (Glycine max) genotypes
Constanza S. Carrera A B D , Julio L. Dardanelli A and Diego O. Soldini C
+ Author Affiliations
- Author Affiliations
A INTA Estación Experimental Manfredi, 5988 Manfredi, Córdoba, Argentina.
B Consejo Nacional de Investigaciones Científicas y Técnicas, Sarmiento 440, Buenos Aires, Argentina.
C INTA Estación Experimental Marcos Juárez, 2580 Marcos Juárez, Córdoba, Argentina.
D Corresponding author. Email: carrera.coty@gmail.com
Crop and Pasture Science 65(12) 1311-1322 https://doi.org/10.1071/CP14114
Submitted: 11 April 2014 Accepted: 23 July 2014 Published: 5 November 2014
Abstract
Genotype × environment interactions (G × E) induce differential response of soybean (Glycine max (L.) Merr.) genotypes to variable environmental conditions with respect to seed composition, and this may hinder breeding progress. The objectives of this study were to estimate the contribution of genotype, environment and G × E to seed chemical composition variability, and to identify the most stable non-transgenic genotypes for several chemical components. Seeds from six non-transgenic soybean genotypes that were grown in 23 environments in Argentina (24–38°S) were analysed. Although environment was the most important source affecting variation for most of the analysed chemical components, genotype and G × E also had a significant effect (P < 0.001). Stable genotypes with superior performance across a wide range of environments were ALIM3.20 for protein, linolenic acid (Len), Len : linoleic acid (LA) ratio (Len/LA), δ-tocopherol (δT) and total isoflavones (TI); ALIM4.13 for protein, oleic acid, α-tocopherol (αT) and δT; ALIM3.14 for Len, αT and TI; Ac0124-1 for Len and Len/LA; and Ac0730-3 for αT. Non-transgenic genotypes with stable chemical profile across environments would perform well under a wide range of environmental conditions for any chemical compound. This study contributes knowledge for breeders to use these genotypes to broaden the genetic backgrounds of currently available commercial cultivars, or to design production strategies that employ the genotypes directly as raw material.
Additional keywords: isoflavones, non-transgenic soybean, oil, protein, stability analysis, tocopherols, unsaturated fatty acids.
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