Genotype X environment interactions and stability of soybean for grain yield and nutrition quality

Abstract

Soybean Glycine max (L.) Merrill] is the world's leading source of oil and protein. It has the highest protein content of all food crops and is second only to groundnut in terms of oil content among food legumes. Study on genotype x enviroment interaction (GE) and stability of twenty soybean [Glycine max (L.) Merrill] genotypes was conducted for grain yield, oil and crude protein content at six environments in 2007. The objectives of the experiment were to determine the magnitude of GEI and stability of released and elite soybean genotypes and thereby identify widely and/or specifically adapted genotypes under Ethiopian conditions. There are strong significant (P<0.01) environment, genotype and GEI effects, and environment and GEI captured larger portion of the total sum of squares, which reveals the influence of the two factors in evaluating soybean genotypes and, hence, the need for stability analysis. Three most popular stability parameters were used for stability analysis. Three genotypes that had medium yield performance, IPB-144-81(p), Braxton and Awassa-95, were identified as stable genotypes for grain yield. The three top yielding genotypes, AGS-115-1, TGX-297-6f-1 and AGS-162, were found unstable and can be recommended for narrow adaptation to Gofa, Areka and Inseno, respectively. Haddee-1 and Braxton were genotypes with high oil content and showed stable performance across the environments. TGX-297-6f-1 had high oil content but unstable with specific adaptation to Bonga. Clarck-63k had the highest crude protein content and also very stable one. IPB-144-81(p) and AFGAT had high crude protein content but very unstable and specifically adapted to Areka. 115-1, TGX-297-6f-1 et AGS-162, ont été trouvés instables et peuvent être recommandés pour l'adaptation étroite à Gofa, à Areka et à Inseno, respectivement.Haddee-1 et Braxton étaient des génotypes avec le contenu élevé d'huile et ont demontré une stable performance à travers les environnements. TGX-297-6f-1 a eu le contenu élevé d'huile mais instable avec l'adaptation spécifique à Bonga. Clarck-63k a eu la plus haute teneur en protéines brutes et également la plus stable. IPB-144-81 (p) et AFGAT ont eu la teneur élevée en protéines brutes mais très instable et spécifiquement adapté à Areka.

Stability analysis for various quantitative traits in soybean [Glycine max (L.) merrill]

“…i.e., the environments created by plant densities, sowing dates over year was justified Table 1: Pooled stability analysis of variance for important economic characters in soybean over twelve environments *, ** Significant at 5% and 1 % probability levels, respectively and had linear effects. Similar results were reported by Gurmu et al (2009);Tyagi and Khan (2010) and Verma et al (2011).…”

AMMI and GGE biplot analysis of multi environment yield trial of soybeanin North Western Himalayan state Uttarakhand of India

“…from location to location the crop remains exposed to the influence of huge genotype and environment interaction, consequently, leading to inconsistent genotypic responses. The presence of a significant Genotype × Environment (G×E) interaction for quantitative traits such as seed yield can lead to the failure of genotypes to achieve the same relative performance in different environments (Gurmu et al, 2009). Therefore, multi environment trials (MET) are widely used by plant breeders for evaluating the relative performance of genotypes over the target environments and to quantify adaptability and stability of genotypes (Jha et al, 2013).…”

Genotype × environment interaction of quality protein maize grain yield in Nepal

“…The preliminary step in varietal release is to evaluate the genotypes for yield potential and adaptation to the environments where it is cultivated. In most cases maize breeders look for a variety that has good mean performances over a large array of environments and years Gurmu et al (2009). The continuous G × E study is necessary because with the changing environments, the performance of maize genotypes differs across the agro-ecologies.…”