To investigate the effect of genotype, environment, and their interaction on seed yield of Kabuli type chickpea lines and identifying lines with high seed yield seed yield stability under different environmental conditions a field experiment was carried out. The experiment was conducted using fourteen chickpea genotypes in randomized complete bloch design with four replications in four agricultural research stations i.e. Urmia, Kurdistan , Maragheh  and Hamedan  during three successive cropping seasons (2010-2013) in winter planting under rainfed conditions. The highest average seed yield (1931.2 kg.ha^-1) was obtained at Urmia in 2011 and the lowest (379.1 kg.ha^-1) was at Hamedan in 2012. The highest and lowest average seed yield obtained in G4 (1163.5 kg.ha^-1) and G2 (756.02 kg.ha^-1), genotypes, respectively. Combined analysis of variance indicated that the main effect due to environments (E), genotypes (G), and genotype × environment interaction (GEI) were highly significant. The contribution of E, G, and GEI to the total variation in seed yield was about 70.61%, 3.20% and 11.21%, respectively. The GEI was partitioned using GGEbiplot model. According to singular value partitioning, the first two principal components explained PC1=43.09% and PC2=23.34% of total variations in data of seed yield. On the basis of GGE biplots, G6, G4 and G11 had high seed yield and yield stability as compared to the other genotypes. Results of this experiment divided environments to two distinct mega-environments including "Urmia and Maragheh" and "Kurdistan and Hamedan", which G6 (FLIP 99-26C) and G4 (FLIP 00-39C) can be recommended for each mega environment, respectively. In addition, G5, G7, and G8 identified as genotypes with wide adaptation for the four environments.