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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.
Acknowledgements
The authors thank the Central Institute for Supervising and Testing in Agriculture in Brno for use of their data in this paper. Dulce Pereira is a member of the CIMA-UE, research centre financed in the ambit of the Portuguese Foundation for Science and Technology. Paulo C. Rodrigues acknowledges the financial support from Fundação para a Ciência e Tecnologia (Portuguese Foundation for Science and Technology), Ministério da Ciência, Tecnologia, e Ensino Superior, Portugal, for doctoral grant SFRH/BD/35994/2007. Paulo C. Rodrigues and Stanislaw Mejza acknowledge the project N N310 447838 supported by the Ministry of Science and Higher Education, Poland. This work was partially supported by Financiamento Base 2010 ISFL-1-297 from FCT/MCTES/PT. The authors thank the two anonymous referees for their constructive comments from which this paper has benefited greatly.