Evaluation of stability parameters for the selection of stable and superior sunflower genotypes

AbstractThe study was conducted to evaluate the performance of 10 sunflower genotypes in 12 environments during 2017 and 2018 cropping seasons with RCBD design. Twenty-nine parametric and non-parametric measures were compared for the stability of seed yield. Highly significant (p 0.001) interactions were found in the combined analyses of variance, with environmental factors contributing to 46.5% of the total variation. The Spearman correlation analysis determines the existence of a positive and significant (p < 0.001) association with AMMI values, but a non-significant association was observed between most of the non-parametric statistics and seed yield. The AMMI values show a positive and significant correlation and multiple overlaps in the biplot with CV, Var, W2, and Sij, indicating that comparable outcomes will be obtained if one of these parameters is used. Seven clusters were visible in the biplot, and R2 and Gai appeared in a similar group with seed yields, demonstrating their close relationship. G1, G4, and G6 are identified as the most favorable genotypes in terms of stability and seed yield. This study confirms that the tested parameters are informative in identifying desirable genotypes. However, it is essential to identify stability parameters that are more reliable and informative by eliminating duplication