Article thumbnail

Rank correlation among different statistical models in ranking of winter wheat genotypes

By Mozaffar Roostaei, Reza Mohammadi and Ahmed Amri


Several statistical methods have been developed for analyzing genotype × environment (GE) interactions in crop breeding programs to identify genotypes with high yield and stability performances. Four statistical methods, including joint regression analysis (JRA), additive mean effects and multiplicative interaction (AMMI) analysis, genotype plus GE interaction (GGE) biplot analysis, and yield–stability (YSi) statistic were used to evaluate GE interaction in 20 winter wheat genotypes grown in 24 environments in Iran. The main objective was to evaluate the rank correlations among the four statistical methods in genotype rankings for yield, stability and yield–stability. Three kinds of genotypic ranks (yield ranks, stability ranks, and yield–stability ranks) were determined with each method. The results indicated the presence of GE interaction, suggesting the need for stability analysis. With respect to yield, the genotype rankings by the GGE biplot and AMMI analysis were significantly correlated (P < 0.01). For stability ranking, the rank correlations ranged from 0.53 (GGE–YSi; P < 0.05) to 0.97 (JRA–YSi; P < 0.01). AMMI distance (AMMID) was highly correlated (P < 0.01) with variance of regression deviation (S2di) in JRA (r = 0.83) and Shukla stability variance (σ2) in YSi (r = 0.86), indicating that these stability indices can be used interchangeably. No correlation was found between yield ranks and stability ranks (AMMID, S2di, σ2, and GGE stability index), indicating that they measure static stability and accordingly could be used if selection is based primarily on stability. For yield–stability, rank correlation coefficients among the statistical methods varied from 0.64 (JRA–YSi; P < 0.01) to 0.89 (AMMI–YSi; P < 0.01), indicating that AMMI and YSi were closely associated in the genotype ranking for integrating yield with stability performance. Based on the results, it can be concluded that YSi was closely correlated with (i) JRA in ranking genotypes for stability and (ii) AMMI for integrating yield and stability

Topics: GE interaction, Statistical models, Rank correlation, Winter wheat, Agriculture, S, Agriculture (General), S1-972
Publisher: KeAi
Year: 2014
DOI identifier: 10.1016/j.cj.2014.02.002
OAI identifier:
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • (external link)
  • (external link)
  • (external link)

  • To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.

    Suggested articles