Genotype - Environmental interactions and phenotypic stability analyses of opium poppy (Papaver somniferum L.) for seed, opium and morphine content
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Abstract
For the identification of improved genotype for commercial cultivation, the stability in the genotype for a given trait or set of traits across testing environments has always been emphasized [1-3]. Various statistical methods have been proposed to analyse the G x E interaction or yield stability [4-6]. Out of them, additive main effects and multiplicative interactions (AMMI) statistical model, which incorporates ANOVA main effects for genotypes and environments and multiplicative interaction effects obtained from a singular value decomposition of the matrix of residue, has been proclaimed superior to linear regression and principal component analysis models [7, 8]. The AMMI first separates the additive main effect from multiplicative variance and sUbsequently PCA is used to partition G x E deviation into different interaction principal component axes (ICPA) which can be tested for statistical significance through ANOVA [1].
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How to Cite
Yadav, H. K., Shukla, S., Rastogi, A., Singh, M. P., & Singh, S. P. (2007). Genotype - Environmental interactions and phenotypic stability analyses of opium poppy (Papaver somniferum L.) for seed, opium and morphine content. INDIAN JOURNAL OF GENETICS AND PLANT BREEDING, 67(02), 166–168. https://doi.org/.
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Research Article
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