Genotype × environment interaction on grain yield of bread wheat (Triticum aestivum L.) promising lines temperate regions of Iran

This study was conducted with the objective of analyzing genotype × environment (GE) interaction on grain yield of 20 bread wheat promising lines. The experiment carried out using randomized complete blocks design with three replications in eight experimental stations in temperate regions of Iran in two cropping seasons (2015-2017). To assess the yield stability and adaptability of genotypes non-parametric ranking statistic and some univariate stability statistics as well as GGE biplot method were used. Combined analysis of variance revealed that genotype × year × location and year × location interaction effects on grain yield were significant. Mean comparison showed that promising lines; G16, G12, G10 and G15 had the highest grain yield, respectively. Nonparametric ranking analysis showed that genotypes; G4, G12, G14, G15 and G16 with the lowest ranks and standard deviation of ranks had the highest yield stability. The GGE biplot analysis differentiated environments into three sub-environmental groups with top-yielding genotypes. Using GGE biplot showed that genotypes; G2, G3, G13, G14, G18, G4 and G1 had higher grain yield stability, respectively. Based on non-parametric ranking statistic and GGE biplot, genotype G14 was identified as genotype with highest yield stability. According to the results of this tsudy genotypes G14: KAUZ/LUCO-M//PVN/STAR/3/Yaco/2*Parus/4/Pishtaz (Amin), G15: FRNCLN/ROLF07 (Farin), and G16: MUU/KBIRD had high grain yield potential and stability performance and have been recommended for release as new cultivars for the temperate agro-climatic zone of Iran.