The additive main effects and multiplicative interaction (AMMI) model was used to analysis the grain yield stability of 20 soybean genotypes in four locations (Karaj, Gorgan, Moghan and ShahreKord) of Iran. Experiments were carried out based on randomized complete block design (RCBD), with three replications in 2014-2015. Result revealed that the grain yield was significantly influenced by environments (E), genotypes (G) and G × E interactions. Principal component analysis (PCA) declared three components which explained up to 90% of G x E sum square (IPCA1, IPCA2 and IPCA3 with 70.72%, 18.99% and 10.60%, respectively). AMMI multivariate method identified two genotypes (No.13 and No.8) with 2789 and 2702 kg.ha-1 were stable genotypes in different environments. The study concluded that the AMMI model is a practical and effective alternative for crop breeders to screen stability of soybean genotypes for different environments.
