Additive Main Effect and Multiplicative Interaction Stability Analysis of Grain Yield Performance in Cowpea Genotypes across Locations

Crops are largely influenced by climatic conditions during the growing season and therefore, minor deviation from optimal can seriously threaten yield. In view of this, knowledge on effect environmental factors crop growth development could reduce possibilities significant yield loss. There have been statistical methods which developed in respect to characterizing crops but additive main multiplicative interaction (AMMI) method integrates analysis variance principal components into a unified approach. AMMI has used G × E with greater precision many crops. The objective this study was assess extent genotype x environment select stable cowpea genotypes Ghanaian environments over seasons using model. Eight released Research Institute Ghana two decades were selected for evaluation locations RCBD 3 replications forest transitional zones Ghana. When mean yields various subjected model, results showed that, highly (P 0.001) location year effects grain recorded 63.1% total variation attributable effects. Bi-plot PC1 GGE gave 80.8% 89.3% respectively. Genotype Asontem (G3) had highest adapted all seasons. Genotypes Asetenapa (G1) Soronko (G6) however not consistently low across environments. It is recommended that farmers Forest should cultivate order get due change.