Non-Parametric Measures of Phenotypic Stability in Durum Wheat (Triticum Turgidum L.) Genotypes


  • Morteza Kamrani University of Mohaghegh Ardabili
  • Asghar Segherloo
  • Manochehr Shiri


Multi-environment trials (MET) are conducted every year for all major crops throughout the world, and best use of the information contained in MET data for cultivar evaluation and recommendation has been an important issue in plant breeding research. The objective of this study was to explore the effect of genotype × environment (GE) interaction on the grain yield of 19 durum wheat (Triticum turgidum L.) genotypes via non-parametric methods. Experiments were conducted using a randomized complete block design with four replications for 3 years at 7 locations. Several statistical methods were used to evaluate phenotypic stability of these genotypes. Four non-parametric statistical test of significance for GE interaction and ten nonparametric measures of stability analyses were used to identify stable genotypes across the 10 environments. The non-parametric measures (Kubinger, Hildebrand, Bredenkamp and Kroon/Van der laan) for GE interaction were highly significant (P<0.01), suggesting differential responses of the genotypes to the test environments. Based on high values of nonparametric superiority measure (Fox et al., 1990) stability parameters, Jupare c 2001, Bcr//Memo/Goo/3/Stj7 and Arthur71/Bcr//Ch5 were identified as the most stable genotype. These non-parametric parameters were observed to be associated with high mean yield. However, other non-parametric methods were not positively correlated with mean yield and therefore they were not used in classifying the genotypes. Simple correlation coefficients using Spearman’s rank correlation, was used to measure the relationship between the stability parameters. Si(1), Si(2) and NP1 were significantly correlating. To identify more similar non-parametric stability parameters, a hierarchical cluster analysis based on non weighted values of genotypes, was performed and the ten stability parameters fell into three groups.