Cowpea (Vigna unguiculata) is one of the important legume crops in Uganda especially in the eastern and northern regions. Its productivity in the country is, however, still low. Environmental constraints and occurrence of genotype × environment interactions (G × E) contribute greatly to the low production. In this study, an additive main effects and multiplicative interaction analysis (AMMI) model was used to assess the yield stability of 30 cowpea genotypes planted in five locations for three consecutive seasons. Also, the relationship of G × E interaction with genotypic/weather variables was analysed. AMMI analysis of variance indicated that environment had the highest contribution to the variation in grain yield. Postdictive success method indicated AMM1-3 as the best model since the first three interaction principal component axes (PCA1, PCA2, PCA3) were significant (p = 0.0000). Together, the first three PCAs explained 75.1% of the G × E interaction sum of squares. However, according to the predictive success method, AMMI-1 was the best model. The AMMI stability value (ASV) identified five genotypes; UCR 5279, Ayiyi, IT07K-257-33, ACC122*WC66 and IT06K-281-1 as being more stable. These ABOUT THE AUTHORS Mbeyagala, E. K (PhD) is a Senior Scientist (Legume breeding) working for the National Agricultural Research Organization (NARO) based at the National Semi-Arid Resources Research Institute (NaSARRI). He is currently the leader of the National Dryland Legume Research Program and also heads cowpea, mungbean and pigeonpea breeding activities in Uganda. His research focuses on developing varieties with tolerance/resistance to biotic/abiotic stresses and with acceptable farmer/consumer traits. Ariko, J.
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