Evaluation of the stability and adaptability of yield in triticale varieties using non-parametric methods

Nikolay Neykov

Abstract: In this study, 9 non-parametric stability methods were used to evaluate the environment interaction on grain yield of 8 triticale varieties. The genotypes were evaluated for grain yield in the region of Sadovo for 5 years. A combined analysis of variance, non-parametric stability statistics and rank correlations among them were determined. Significant differences were detected between genotypes and their EGIs. Different non-parametric stability statistics were used to determine stability of the studied genotypes. The level of association among the statistics was assessed using Spearman’s rank correlation. Rank-correlation coefficients between yield and some non-parametric stability statistics were highly significant. Genotypes mean yield was significantly correlated to the non parametric stability statistics NP⁽⁴⁾ (r = 0.833*), NP⁽³⁾ (r = 0.762*) and S⁽³⁾ (r = 0.738*). In conclusion, based on most non-parametric stability statistics, the genotypes Indiana and Orbital were found to be the most stable and high yielding. These genotypes can be used for the improvement of adaptation and high yielding in triticale breeding programs.

Keywords: genotype x environment interaction; nonparametric stability measure; triticale

Citation: Neykov, N. (2024). Evaluation of the stability and adaptability of yield in triticale varieties using non-parametric methods. Bulg. J. Agric. Sci., 30(2), 301–304

Date published: 2024-04-26