Dissection of genotype × environment interaction and assessment of adaptability and grain yield stability of spring bread wheat genotypes

Additive main effects and multiplicative interactions (AMMI) and genotype (G) main effect plus genotype × environment interaction (GEI) GGE biplot models were used to dissect GEI interaction and to assess adaptability of ۲۶ elite bread wheat lines. A multi environment trial was conducted using ۲۶ elite bread wheat lines along with two check cultivars of Chamran and Chamran-۲ in ۲۰۱۴-۱۵ and ۲۰۱۵-۱۶ cropping seasons across six testing sites including; Darab (DAR), Dezful (DEZ), Ahvaz (AHV), Khorramabad (KHR), Zabol (ZAB) and Iranshahr (ISH). The sites are representative of the major irrigated wheat production agro-ecologies in southern warm and dry zone of Iran. In each year, the trials at DAR, DEZ and KHR were grown under normally irrigated conditions while trials at AHV, ZAB and ISH were grown under terminal drought stress conditions. Mixed model analysis using Restricted Maximum Likelihood (REML) method showed significant differences among spring bread wheat genotypes for grain yield in all environments. The highest and lowest BLUE means was observed at KHR۱۵ and ZAB۱۵, respectively. Compared to irrigated environments, genotypes showed ۳۵.۴% losses, in average, of grain yield under terminal drought stress environments. Combined analysis of variance showed that genotype × environment interaction (GEI) accounted for ۹.۴% of the total sum of squares. Significant GEI suggests variability in performance of bread wheat genotypes across environments. Partitioning of GEI through AMMI analysis showed that axes IPCA۱, IPCA۲, and IPCA۳ were highly significant (P>۰.۰۱) and explained ۳۳%, ۲۲%, and ۱۳% of the GE sum of squares, respectively. The polygon view of the GGE biplot grouped environments into three sectors. AMMI method and GGE biplot showed that G۵ had the highest grain yield stability. G۵ and G۱۵ were generally better adapted to terminal drought stress environments (AHV۱۴, AHV۱۵, ISH۱۴, ISH۱۵, ZAB۱۴ and ZAB۱۵), while G۲۸ and G۸ were more adapted to irrigated environment conditions. AMMI and GGE biplot methods separated the western and southwest regions from the south and southeast test locations for identifying superior adapted spring bread wheat genotypes. Results showed that geographical location had greater impact than the effect of moisture management on the grouping of genotypes. The specific adaptation strategy is suggested for identifying adapted spring bread wheat cultivars with high grain yield and yield stability for these target environments.

Keywords:

Spring bread wheat , AMMI model , GGE biplot , GE interaction , REML