Graphic analysis of the genotype × environment interaction in durum wheat (Tritium turgidum L.) using AMMI model

Published on Mar 11, 2018
Rahmatollah Karimizadeh10
Estimated H-index: 10
Hassan khanzadeh , Mohtasham Mohammadi11
Estimated H-index: 11
Abstract Selection of durum wheat ( Tritium turgidum L.) genotypes with wide adaptability across different environments is important before them commercial recommendation to achieve a high rate of cultivar genotype. Multi-environment trials including three years and five locations for twenty durum wheat genotypes in randomized complete block design layout with four replications were carried out in Iran. The obtained data were analyzed with additive main effect and multiplicative interaction (AMMI) model to understand the GE interaction pattern. Combined analysis of variance showed the effect of year (Y) and genotype (G) were significant while the location (L) effect was not significant. The YL and GYL interaction were highly significant. ANOVA of grain yield showed that 92% of the total sum of squares was attributable to environmental effects, only 1% to genotypic effects and 7% to GE interaction effects. The first two interaction principal components analysis (IPCA1 and IPCA2) were used to create a 2-dimensional AMMI-2 model biplot and explained 24% and 15% of AMMI sum of squares (SS), respectively. The AMMI-2 biplot suggests three practical durum wheat mega-environments in Iran: two minor mega-environments (northwestern Iran consisting of Moghan and southwestern Iran consisting of Gachsaran), and a major one (western Iran consisting Kouhdasht and Ilam). As a result, the findings from this investigation are as follows: (1) genotype G3 was the most stable and is thus recommended for commercial release in most test environments of Iran asbroad adaptable genotype; (2) genotype G10 for Moghan, genotype G11 Gachsaran and G12 for both for Kouhdasht and Ilam, were the most stable and are thus recommended for commercial release in Iran as specific adaptability to these locations; (3) the AMMI model can be used to identify superior genotypes for target sites in Iran and regions in other parts of the world.
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