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Bayesian analysis of the linear reaction norm model with unknown covariate Organic Eprints
Su, G.; Madsen, P.; Lund, M.S.; Sørensen, D.; Korsgaard, I.R.; Jensen, J..
The reaction norm model is becoming a popular approach for the analysis of G x E interactions. In a classical reaction norm model, the expression of a genotype in different environments is described as a linear function (a reaction norm) of an environmental gradient or value. A common environmental value is defined as the mean performance of all genotypes in the environment, which is typically unknown. One approximation is to estimate the mean phenotypic performance in each environment, and then treat these estimates as known covariates in the model. However, a more satisfactory alternative is to infer environmental values simultaneously with the other parameters of the model. This study describes a method and its Bayesian MCMC implementation that makes...
Tipo: Journal paper Palavras-chave: Breeding and genetics.
Ano: 2006 URL: http://orgprints.org/6045/1/6045.pdf
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