Results: Composite variance analysis showed significant effects on the interaction effect of year, genotype and genotype × environment. The importance of the interaction between genotype and environment can be inferred that the performance of cultivars in different environments is not the same and fluctuates, and stable genotypes can be identified. Considering this issue, the interaction effect of genotype × environment and the selection of stable genotypes were investigated. Based on statistics Wrick, Shukla variance, environmental coefficient of variation, coefficient of deviation from regression and coefficient of determination, genotype 5 was identified as a stable and high yield genotype. Also, based on the rank correlations, a positive and significant correlation was observed between Wrick, Shukla variance, environmental coefficient of variation and coefficient of deviation from regression. Based on the results of cluster analysis, parametric statistics were in three main clusters. Wrick, Shukla, coefficient of environmental changes and coefficient of deviation from regression were placed in one group and in the third cluster. According to the results of cluster analysis, lentil genotypes were divided into four main clusters based on average yield and parametric stability statistics of genotypes, with genotype 5 in the second group.
Conclusion: Based on the results of this study, the parametric stability methods except for regression coefficient and environmental variance statistics, were able to identify stable, high-yield genotypes. In general, according to the most of the parametric stability methods, genotype 5 (FLIP2014-032L) with a mean grain yield of 1574.68 kg ha-1 was introduced as a stable genotype and was proposed to cultivate in the similar environments climate.Rights and permissions | |
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