Kendal E.Aktas H.14.07.20192019-07-1614.07.20192019-07-1620160209-4541https://hdl.handle.net/20.500.12514/1166The aim of this study was to examine the effects of genotype × environment interaction (GEI) on grain yield, components, and quality characteristics using genotype main effect (G) and genotype × environment interaction by GGE biplot analysis. We observed significant differences among genotypes in grain yield, yield components, and quality traits; the relationships between yield components were used to identify three groups. The GGE biplot indicated that E4 (Diyarbakir 2009/10), E5 (Hani 2010/11) and E6 (Diyarbakir 2010/11) were ideal environments for all traits, and E4 was a highly efficient model for grain yield. The biplot analysis showed that genotype 1 (G1) was the best genotype in terms of yield and other components, and G11 was efficient for quality parameters only; thus, these two genotypes can be recommended to release in barley breeding program. Consequently, the study showed that biplot analyses is a good analysis method and will be used to make specific selection for multi-factorial studies and specific conditions. © 2016, Scibulcom Ltd. All rights reserved.eninfo:eu-repo/semantics/closedAccessBarleyGenotypesMulti-environmentsQuality parametersYieldArticle393-I24332446Q42-s2.0-85053284961