O. Akbarpour - Department of Plant Breeding, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran
H. Dehghani - Department of Plant Breeding, Faculty of Agriculture, Tarbiat Modares University, Tehran, Islamic Republic of Iran.
B. Sorkhi - Seed and Plant Improvement Institute, Karaj, Iran
H. G. Gauch, Jr. - Department Crop and Soil Sciences, ۵۱۹ Bradfield Hall, Cornell University, Ithaca, NY ۱۴۸۵۳, USA

Understanding the implication of genotype-by-environment interaction (GEI) and improving stability of crop yield in a target production environment is important in plant breeding. In this research, we used the AMMI (Additive Main Effects and Multiplicative Interaction) model to identify the stable genotype(s) by predictive accuracy of yield data. Results of this study indicated that the FGH tests were useful to identify the best truncated AMMI model. In general, FGH۱ and FGH۲ tests had similar results. The findings of this study confirmed that the AMMI-۴ was the best truncated AMMI model to distinguish the general and specific stability of genotypes across environments for recommending them to farmers. Based on AMMI-۴ yield prediction, G۱۵ and G۱۷ were identified as useful genotypes for some environments, while G۱۴ was found as a stable genotype in all environments.

F-test, stability, Truncated AMMI model, Yield prediction