Combining AMMI and Mean Yield of Wheat Genotypes Evaluated under Rainfed Conditions of Northern Hills Zone for Stability Analysis

Wide use of AMMI model, hybrid of additive and multiplicative components, to separates the additive variance from the multiplicative variance and application of principal component analysis (PCA) to the interaction portion (Gauch, 2013; Bocianowski et al., 2019; Verma et al., 2020). This analysis has been proved to be an effective process to captures a large portion of the GxE interaction sum of squares, thereby separating main and interaction effects (Jeberson et al., 2017; Ajay et al., 2019). Multi environment trials of all crops demand an efficient estimation of main and interaction effects (Bornhofen et al., 2017). More over biased interpretation regarding the stability of the genotypes had been also reported when low proportion of the variance explained by first interaction principal component IPCA1 under AMMI analysis (Ramburan et al., 2011; Zali et al., 2012; Oyekunle et al., 2017). Stability measure i.e. Weighted Average of Absolute scores (WAASB), recommended for Art ic le History RECEIVED in 28th October 2020 RECEIVED in revised form 14th December 2020 ACCEPTED in final form 28th December 2020 AMMI, ASV, SIPC, Za, EV, SI, SSI, Biplots