Statistical analysis for stability and adaptability testing of mungbean (Vigna radiata (L.) Wilczek) genotypes
AbstractAimed at developing a precise and efficient parsimonious method of testing the stability of promising mungbean lines, particularly using small number of observations, this paper presents the analysis of variance of 10 mungbean lines in 4 environments for 2 years. Simultaneous varietal selection using the AMMI (additive main effects and multiplicative interaction) model along with mean deviation from maximum plot yield ,suggested single value of IPCA (interaction principal component analysis axes) scores (IPCAs)and IPCAs vs. mean yield biplot were found to be more effective for
evaluating wide adaptability and stability of mungbean over diverse environments. Mungbean lines with above grand mean yield having the lowest mean deviation (D) and IPCAs scores which are close to zero are selected as the most adaptable promising lines in the multi-location trial. The AMMI1 biplot ordinate with IPCA1 captures lower percentage of genotype x environment interaction (GEI), while suggested biplot of the reference method that ordinate with IPCAs scores capture 100 % of GEI.
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