غلامرضا چلویی - Department of Plant Breeding, Faculty of Crop Sciences, Sari Agricultural Sciences and Natural Resources University, Sari, Iran.
غلامعلی رنجبر - Department of Plant Breeding, Faculty of Crop Sciences, Sari Agricultural Sciences and Natural Resources University, Sari, Iran.
نادعلی بابائیان جلودار - Department of Plant Breeding, Faculty of Crop Sciences, Sari Agricultural Sciences and Natural Resources University, Sari, Iran.
نادعلی باقری - Department of Plant Breeding, Faculty of Crop Sciences, Sari Agricultural Sciences and Natural Resources University, Sari, Iran.
محمدزمان نوری - Rice Research Institute of Iran, Amol, Iran.

The existence of genotype × environment interaction complicates the evaluation of cultivar performance and reduces gain to selection. One of the multivariate methods for interpreting genotype by environment interaction is GGE-Biplot, in which the main effect of genotype and genotype by environment interaction are investigated simultaneously. In this study, ۱۳ mutant genotypes of rice along with three check cultivars Tarrom-Mahalli, Tarrom-Jelodar and Neda were evaluated for grain yield stability in the two locations of Sari and Tonekabon during the years ۲۰۱۶ and ۲۰۱۷ using randomized complete block design with three replications within each environment. The results of GGE-biplot analysis showed that the two first components explained ۹۲.۵۲% of the total yield variation. According to the polygon view, all four environments of the experiment were located in the place that the Neda cultivar was at the top. Genotypes ۳۳, ۳۰, ۲۶, ۳۱ were highly stable genotypes and genotypes ۱۸, ۱۶ and ۲۵ were highly unstable. In this study, we found only one mega-environment. Also following Neda and Jelodar cultivars, genotype ۳۱ was closest to the ideal genotype. Ton ۹۵ was the most desirable environment.

Genotype by environment interaction, GGE-biplot, Mutant rice, Stability