GGE Biplot and AMMI Analysis of Yield Performance of Barley Genotypes across Different Environments in Iran

Twenty promising barley lines were evaluated at seven research stations in Iran, during two cropping seasons. The analysis of variance on grain yield data showed mean squares of environments, genotypes and Genotype×Environment Interaction (GEI) as significant, respectively accounting accounted for ۶۰.۳۸, ۴.۵۲ and ۳۵.۰۹% of treatment combination sum of squares. To find out the effects of GEI on grain yield, the data were subjected to Additive Main effects and Multiplicative Interaction (AMMI) and Sites Regression (SREG) GGE biplot analysis. Mega-environmental investigation is the most suitable way to utilize GEI. "Which-won-where" pattern was followed with three distinct mega-environments found in the barley assessment. Entries G۵ and G۶ showed general adaptability while G۷ and G۱۳ exhibited specific adaptation to Neishabour and Esfehan, respectively. Considering both techniques, genotype G۱ revealed high grain yield along with yield stability. With regard to barley assessment, Esfehan was identified as a location with larger main effects interaction, making it a less predictable location for barley variety evaluation. The results finally indicated that AMMI and GGE biplot are informative methods to explore stability and adaptation pattern of genotypes in practical plant breeding and in subsequent variety recommendations. In addition, finding mega-environments help to identify the must suitable barley cultivars that can be recommended for areas within the mega-environment in either one or more test locations.

کلیدواژه ها:

adaptation ، Bi-linear method ، SREG ، Stability analysis