Affiliation:
1. Department of Plant Production and Genetics, Faculty of Agricultural Sciences and Engineering, Razi University, Kermanshah, Iran
Abstract
Wheat (Triticum aestivum L.) is the major and strategic cereal crop globally.
It is grown worldwide under a wide range of agro-ecological conditions. The
performance of quantitative traits, for example grain yield, often varies
due to significant effects of the genotype and environment interaction
(GEI). Therefore, the integration of higher grain yield with stable
performance is one of the common objectives in wheat-breeding programs. The
present investigation was carried out to evaluate the GEI through GGE biplot
and AMMI analysis over six environments (rain-fed and irrigated conditions
during three years) using 29 diverse wheat genotypes. The analysis of
variance revealed that the effect of environments (E), genotypes (G) and GEI
are significant. The first two AMMI components justified 72.6% of the GEI
variation. In the other hands, the first two principal components of the GGE
biplot explained 58.3% of the observed variation for the grain yield. The
GGE biplot suggested suitability of the tester E6 based on discrimination
ability and representativeness, which is ideal for selecting superior
genotypes. Based on the similar results of AMMI and GGE-biplot methods, the
genotype G6 was the best performing genotypes at the rain-fed
mega-environment. In addition, the entries G1 and G29 were suitable for the
irrigated mega-environment.
Publisher
National Library of Serbia
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