Background: Genotype-environment interaction is a factor that causes differences in genotypic responses to different environmental conditions and therefore disrupts the performance prediction and assignment of genotypes to specific environments. The importance of the interaction between genotype and environment is such that every year a lot of time and money is spent to estimate it through regional performance tests. Therefore, a proper interpretation of this effect, in addition to obtaining an appropriate result from the experiments performed, prevents the loss of national capital, because the results of several years of breeding work performed on crops at this stage will be examined.
Aim: The objectives of this study are: to study different methods of stability analysis and compare them with each other and determine the genotype or genotypes that have the highest yield and highest stability.
Methodology: In this experiment, 14 advanced lines of durum wheat along with Dehdasht and Savars cultivars (16 in total), line and cultivar in one place and 5 years as statistical population, cultivar effect as fixed factor and year effect as random factor Is considered. Land preparation operation, which includes plowing and disc in autumn, which is done in all years and planting operation is done in mid-December. In the harvest stage, the performance of each cultivar is measured in each environment and then the resulting data are statistically analyzed. Statistical software, SAS, SPSS, GENSTAT, MINITAB MSTATC are used to analyze the data obtained from the above 4 environments.
Results: The results showed that genotypes 4, 5, 6, 9, 11 and 15 in the methods based on analysis of variance and genotypes 2, 3, 5, 6 and 11 in the methods based on regression were the most stable genotypes. Genotypes 5, 6, 8 and 9 were selected as stable genotypes in nonparametric methods calculated. In multivariate methods of AMMI and spatial regression (GGE biplot), genotypes 4, 5, 6, 8 and 9 were t