Univariate stability analysis methods for determining genotype × environment interaction of durum wheat grain yield

Abstract

Twenty two different stability statistics were used for analyzing genotype × environment (GE) interaction of durum wheat experimental data (20 genotypes in 15 environments). Combined analysis of variance indicated that GE interaction significantly influenced genotypes yield. According to type I stability concept, genotypes G7, G9 and G13 were the most stable genotypes, while based on the type II stability concept, genotypes G4 and G15 could be selected as the most favorable genotypes. Also, genotypes G5, G7 and G13 were the most favorable genotypes according to type III stability concept and type IV stability concept which indicated that genotypes G5, G11 and G18 were the most favorable genotypes. Genotypes clustering based on stability properties and mean yield grouped them into three distinct classes. However, superior genotypes are recommended for use by farmers in semi-arid areas. Finally, based on most statistics, mean yield and dynamic concept of stability genotype G13 was stable and favorable and is recommended for national release in rain-fed lands of Iran. Regression method’s slopes, genotypic stability (D²), H statistic and desirability index (DI) which benefit type II and dynamic stability concept, could be recommended for GE interaction studies and yield stability.

Key words: Adaptation, multi-environmental trials, regression analysis, Triticum turgidum L.