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Title: A comparison between joint regression analysis and the AMMI model: a case study with barley
Authors: Pereira, Dulce G.
Rogrigues, Paulo C.
Mejza, Stanislaw
Mexia, João T.
Editors: Krutchkoff, Richard
Keywords: Joint Regression Analysis
AMMI models
spring barley
multiple comparisons
zigzag algorithm
Issue Date: Sep-2011
Publisher: Taylor & Francis
Abstract: Joint regression analysis (JRA) and additive main effects and multiplicative interaction (AMMI) models are compared in order to (i) access the capacity 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. The study includes three data sets from spring barley (Hordeum vulgare L.) breeding program carried out between 2004 and 2006 in Czech Republic. The results from both techniques are integrated in order to advice plant breeders, farmers and agronomists for better genotype selection and prediction for new years and/or new environments.
Type: article
Appears in Collections:MAT - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
CIMA - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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