A comparison between joint regression analysis and the AMMI model: A case study with barley
Research output: Contribution to journal › Article › Scientific › peer-review
|Number of pages||15|
|Journal||JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION|
|Publication status||Published - Feb 2012|
|Publication type||A1 Journal article-refereed|
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.