Interpreting Genotype × Environment Interaction in Bread Wheat (Triticum aestivum L.) Genotypes Using Nonparametric Measures

Authors : Zeki MUT, Nevzat AYDIN, Hasan Orhan BAYRAMOĞLU, Hasan ÖZCAN

Pages : 127-137

View : 21 | Download : 8

Publication Date : 2009-04-01

Article Type : Research Paper

Abstract :The objectives of this study were to compare nonparametric stability measures, and to identify promising high-yield and stable bread wheat insert ignore into journalissuearticles values(Triticum aestivum L.); genotypes in 7 environments during 2003-2005 in the central Black Sea region of Turkey. The bread wheat genotypes insert ignore into journalissuearticles values(20 advanced lines and 5 cultivars); were grown in a randomized complete block design with 4 replications in 7 different environments. Three nonparametric statistical tests of significance for genotype × environment insert ignore into journalissuearticles values(GE); interaction and 10 nonparametric measures of stability were used to identify stable genotypes in 7 environments. Combined ANOVA and nonparametric tests insert ignore into journalissuearticles values(Kubinger, Hildebrand, and De Kroon/Van der Laan); of genotype × environment interaction indicated the presence of significant crossover and non-crossover interactions, as well as significant differences between genotypes. In this study high TOP values insert ignore into journalissuearticles values(proportion of environments in which a genotype ranked in the top third); and low rank-sum values insert ignore into journalissuearticles values(sum of ranks of mean yield and Shukla’s stability variance); were associated with high mean yield. Nonetheless, results of the other nonparametric tests were negatively correlated with mean yield. In the simultaneous selection for high yield and stability, only the rank-sum and TOP methods were useful in terms of the principal component analysis insert ignore into journalissuearticles values(PCA); results, and correlation analysis of nonparametric stability statistics and yield. According to these stability parameters insert ignore into journalissuearticles values(TOP and rank-sum); G7 insert ignore into journalissuearticles values(VONA//KS75210/TAM101);, G9 insert ignore into journalissuearticles values(JUP/4/CLLF/3/II14.53/ODIN//CI13431/WA 00477);, G20 insert ignore into journalissuearticles values(Sakin);, and G21 insert ignore into journalissuearticles values(VORONA/KAUZ//1D13.1/MLT); were the most stable genotypes for grain yield. The results also revealed that based on nonparametric test results stability could be classified into 3 groups, according to agronomic and biological concepts of stability.
Keywords : Bread wheat, genotype × environment interaction, nonparametric stability measures