INVESTIGATION OF NON-PARAMETRIC STABILITY METHODS IN 28 BREAD WHEAT GENOTYPES IN SOME TROPICAL REGIONS OF IRAN
"This study was conducted to investigate the interaction effects of genotype and environment and environmental effects, adaptation and stability of bread wheat (Triticum aestivum) yield with different genetic structure and selection of stable and productive genotypes in twenty-eight bread wheat genotypes in a randomized complete block design with four replications is evaluated in Ahvaz, Dezful, Darab, Iranshahr, Zabol and Khorramabad stations for two years (94-95 and 95-96), comparison of non-parametric stability methods and the use of non-parametric tests have been the objectives of this study. The results of ANOVA composite analysis of variance at the level of meaningful 1% probability indicate that different genotypes react in different environments. Based on the results of two non-parametric statistics, Nassar and Huhn and, genotypes 16, 25, 27, 15 with low values were selected as the most stable genotypes. In the two stability criteria and, the genotypes with the lowest value are known as the most stable genotypes, genotypes 15, 16, 27 were identified as the most stable genotypes. High correlation of s statistic with grain yield and other non-parametric stability methods do not have a positive correlation with mean yield, which indicates a static concept, Thennarasu (1995) used four stability parameters to analyze the nonparametric stability. Examination of criteria, and show that genotype 27 is introduced as a stable genotype in all four criteria. TOP measurement was associated with high performance Stability, results of PC principal component analysis and correlation analysis Statistical and non-parametric stability performance showed that only ranking methods are useful for simultaneous selection for high performance and stability.