Analysis of the Genotype-by-Environment Interaction of Winter Barley Tested in the Rain-fed Regions of Iran by AMMI Adjustment

1 Islamic Azad University, Young Researchers Club, Gachsaran Branch, Gachsaran, Iran
2 Dryland Agriculture Research Station, Gachsaran, Iran


ABDIPUR, M. and B. VAEZI. 2014. Analysis of the genotype-by-environment interaction of winter barley tested in the rain-fed regions of Iran by AMMI adjustment. Bulg. J. Agric. Sci., 20: 421-427


Multi-environment trials (MET) play an important role in selecting the best cultivars and/or agronomic practices to be used in future years at different locations by assessing a cultivar’s stability across environments before its commercial release. In order to identify barley (Hordeum vulgare L.) genotypes that have high yield and stable performance across different locations, 20 barley genotypes were studied across nine environments in Iran for three years in 2003-2005 growing season. The experimental layout was a randomized complete block design with four replications. The analysis of variance showed that genotype (G), environment (E) and their interaction were highly significant (P < 0.01) for grain yield. Highly significant G × E effects indicated the necessity for testing barley genotypes in Iran at multiple locations. They accounted for 16.76%, 58.91% and 24.32% of the treatment combinations sum of square, respectively. In order to better control of Type-1 error rates, FGH1 and FGH2 tests were calculated. Based on FGollob 5 first IPCAs, based on FGH1, and FGH2 tests four first IPCAs were significant. According to the results of IPCA1-4 and AMMI stability parameters (SIPC, EV, AMGE and ASV), genotype numbers of 16, 18, 13 and 12 had the lowest amounts and were recognized as the stable genotypes. These genotypes, also based on biplot had the lowest interactions and located in center of biplot. Overall, genotype number of 16 was identified as the most stable genotype in this study.

Key words: AMMI analysis, barley (Hordeum vulgare L.), biplot and grain yield
Abbreviations: AMMI - Main effects and Multiplicative Interaction; AMGE - Sum across environments of GEI; ASV - AMMI Stability Value; EV - Eigenvector

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