Comparative study of stability measures for rice (Oryza sativa) genotypes
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Date
2023-07
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Publisher
CCS HAU, Hisar
Abstract
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.