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Variation génétique de caractères mesurés dans plusieurs milieux. I. Estimation et test d'homogénéité des corrélations génétiques et intra-classe entre milieux

Abstract : Estimation of between family (or genotype) components of (co)variance among environments, testing of homogeneity of genetic correlations between environments, and testing of homogeneity of both genetic and intra-class correlations between environments are investigated. The testing procedures are based on the ratio of maximized log-restricted likelihoods for the reduced (under each hypothesis of homogeneity) and saturated models, respectively. An expectation-maximization (EM) iterative algorithm is proposed for calculating restricted maximum likelihood (REML) estimates of the residual and between-family components of (co)variance. The EM formulae are applied to the multiple trait linear model for the saturated model and to the univariate linear model for the reduced models. The EM algorithm guarantees that (co)variance estimates remain within the parameter space. The procedures presented in this paper are illustrated with the analysis of 5 vegetative and reproductive traits recorded in an experiment on 20 full-sib families of black medic (Medicago lupulina L) tested in 3 environments.
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  • HAL Id : hal-02705566, version 1
  • PRODINRA : 119829

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Christèle Robert-Granié, Jean Louis Foulley, Vincent Ducrocq. Variation génétique de caractères mesurés dans plusieurs milieux. I. Estimation et test d'homogénéité des corrélations génétiques et intra-classe entre milieux. Genetics Selection Evolution, BioMed Central, 1995, 27 (2), pp.111-123. ⟨hal-02705566⟩

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