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Comparative study of stability measures for rice (Oryza sativa) genotypes
(CCS HAU, Hisar, 2023-07) Bisht, Prashant; Vinay Kumar
The study aimed to compare existing parametric and non-parametric stability measures for rice genotypes and propose a modified measure based on entropy-based TOPSIS. Experimental data from thirty-six rice genotypes evaluated at two locations over two cropping seasons were analyzed to evaluate genotype-environment interaction. The results revealed strong positive correlations between stability measures such as Wricke's ecovalence and Shukla's stability variance, indicating their similarity in stability ranking. Additionally, significant positive correlations were found between mean yield and specific stability measures, suggesting their effectiveness in selecting genotypes with high yield potential. The proposed modified measure, incorporating entropy weights and four parametric measures, provided a comprehensive assessment of stability. The study emphasized the importance of considering both stability and yield in genotype selection, and the findings contribute to a better understanding of stability analysis in rice cultivation.