DETERMINING YIELD STABILITY AND MODEL SELECTION BY AMMI METHOD IN RAIN-FED DURUM WHEAT GENOTYPES

Abstract

Selection of durum wheat genotypes with wide adaptability across various environments is important before recommending them to reach a high rate of genotype adoption. Multi-environment grain yield trials of 20 durum wheat genotypes were conducted at five locations of Iran (Gachsaran, Gonbad, Moghan, Ilam and Khorram abad) over four years (2009-2013). Combined ANOVA of yield data of the 20 environments revealed highly significant differences among genotypes and environments as well as significant GE interaction indicated differential performance of genotypes over test environments. Results of F Ratio indicated that only five interaction principal components (IPCs) were significant at the 0.01 probability level. Also, the GE interaction is comprised of 29.7% noise and 70.03% signal. According to these distinct numbers of significant axes, fourteen AMMI stability parameters were computed. Finally according to the most of type 1 of AMMI parameters (EV1, AMGE1, SIPC1 and D1), genotypes G8, G17 and G11; based on the type 2 of AMMI parameters and ASV, genotypes G4, G5, G10, G11 and G17; due to type 3 of AMMI parameters and MASV, genotypes G8, G10 and G12 were detected as the most stable genotypes. Considering all of the AMMI stability parameters, genotypes G8, G10, G11, G12 and G17 following to genotypes G7 and G9 were the most stable genotypes. The best recommended genotypes according to the present study are G10 with 3470 kg ha-1 grain yield for Gachsaran and Khorramabad, G12 with 3343 kg ha-1 grain yield for Ilam and G10 and G12 for Moghan and Gonbad regions wich had high mean yield and were most stable for related mega-environments.