AMMI AND GGE BIPLOT ANALYSIS OF YIELD PERFORMANCE OF SPRING BARLEY (Hordeum vulgare L.) VARIETIES IN MULTI ENVIRONMENT TRIALS

We evaluated the phenotypic stability and adaptability of spring barley varieties using the additive main effect and multiplicative interaction (AMMI) and genotype main effect (G) plus genotype-environment (GE) interaction (G+GE) biplot models. The research was conducted in five locations by randomized complete block design with three replications in each location in 2015-2016. The grain yields of all nine barley genotypes were significantly affected by environment, which accounted for 90.5% of the total variation, whereas genotype and genotype-environment interaction accounted for 4.0% and 5.5%, respectively. The AMMI and GGE biplot models reflected most of the variation caused by genotype and genotype-environment interaction effects in the first two principal components – 78.8% and 79.3%, respectively. The AMMI stability value (ASV) revealed that varieties Khors (G4) and Poduv (G5) were stable. GGE-biplot which-won-where showed that 9 environments used for the study belonged to 3 mega-environments with wining varieties Vzirets (G1), Inkliuziv (G6) and Dokaz (G9). According to the ideal genotype biplot, varieties Dokaz (G9), Inkliuziv (G6) and Khors (G4) were the best genotypes demonstrating high average yields and high stability of performance across the test locations. The results finally indicated that AMMI and GGE biplot were informative methods to explore stability and adaptation patterns of genotypes in practical plant breeding and in subsequent variety recommendations.