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Kayode, A.S., Ariyo, O.J., Ojo, D.K., Gregorio, G., Somado, E.A., Sanchez, M., Futakuchi, K., Ogunbayo, S.A., Guei, R.G. and Wopereis, M.C.S. (2009) Additive Main Effects and Multiplications Analysis of Grain Yield Performances in Rice Genotypes across Environments. Asian Journal of Plant Sciences, 8, 48-53.
https://doi.org/10.3923/ajps.2009.48.53

has been cited by the following article:

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

  AUTHORS: Kwabena Atakora, Harrison Kwame Dapaah, Kofi Agyarko, Margaret Esi Essilfie, Kwadwo Gyasi Santo

  KEYWORDS: Stability, Genotype, Interaction, Yield, Environment

  JOURNAL NAME: American Journal of Plant Sciences, Vol.14 No.4, April 30, 2023

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