EVALUATION OF GENOTYPE X ENVIRONMENT INTERACTION FOR GRAIN YIELD IN DURUM WHEAT USING NON-PARAMETRIC STABILITY STATISTICS

M. Turkoz, Y. Kaya

Abstract: The aim of this study was to compare 16 non-parametric stability statistics for genotype x environment interactions (GEI) on grain yields of 15 durum wheat genotypes selected from National Durum Wheat Breeding Program tested in 12 rain-fed environments during the 2 cropping seasons (2009-2010 and 2010-2011) in Turkey. Results of non-parametric statistics and a combined ANOVA across environments indicated that genotypes varied significantly for grain yield. In this study, high values of TOP, PA, RM and YS non-parametric stability statistics were associated with high mean yield. The other non-parametric stability methods were not positively correlated with mean yield but characterized a static concept of stability. The results of Spearman rank correlation analysis indicated that only TOP, PA, RM and YS methods would be useful for simultaneous selection for high yield and stability. Thirteen out of 16 non-parametric statistics used identified genotype G15 being capable of dynamic stability and wide adaptation. According to static concept based parameters, the genotypes G5, G7, G11 and G13 with lower grain yield were selected as genotypes with the higher stability.

Keywords: durum wheat (T. durum L.); Genotype x Environment Interaction; grain yield; Non-parametric Stability Statistics

Date published: 2017-09-08