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A comparison between joint regression analysis and the AMMI model: A case study with barley

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Details

Original languageEnglish
Pages (from-to)193-207
Number of pages15
JournalJOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
Volume82
Issue number2
DOIs
Publication statusPublished - Feb 2012
Publication typeA1 Journal article-refereed

Abstract

Joint regression analysis (JRA) and additive main effects and multiplicative interaction (AMMI) models are compared in order to (i) access the ability of describing a genotype by environment interaction effects and (ii) evaluate the agreement between the winners of mega-environments obtained from the AMMI analysis and the genotypes in the upper contour of the JRA. An iterative algorithm is used to obtain the environmental indexes for JRA, and standard multiple comparison procedures are adapted for genotype comparison and selection. This study includes three data sets from a spring barley (Hordeum vulgare L.) breeding programme carried out between 2004 and 2006 in Czech Republic. The results from both techniques are integrated in order to advise plant breeders, farmers and agronomists for better genotype selection and prediction for new years and/or new environments.

Keywords

  • AMMI models, joint regression analysis, mega-environments, multiple comparisons, spring barley, zigzag algorithm