Analysis Of Yam Yields Using The Additive Main Effects And Multiplicative Interaction (AMMI) Model

The AMMI model combines regular analysis of variance for additive main effects with principal component analysis for multiplicative structure within the interaction. It also improves the accuracy of crop yield estimates and selects genotypes with highest yields. Despite knowledge of the model, potential yield estimates for yam cultivars as is the case for several other crops, are largely unknown. In this study, the AMMI model was used with the objective of assessing yam genotypes yield, selecting stable genotypes, and investigating G x E effects from trials conducted for two years at five locations in Nigeria. The effects of environments, genotypes and genotype-by-environment interaction (G x E) were highly significant (P