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Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: Precision and information in linear models of genetic evaluation | 557 Genet Sei Evol 1993 25 557-576 Elsevier INRA Original article Precision and information in linear models of genetic evaluation D Laloê Institut National de la Recherche Agronomique Station de Génétique Quantitative et Appliquée Centre de Recherches de Jouy-en-Josas 78352 Jouy-en-Josas Cedex France Received 14 September 1992 accepted 5 August 1993 Summary - Some criteria for measuring the overall precision of a genetic evaluation using linear mixed-model methodology are presented. They are derived via an extension of the coefficient of determination to linear combinations of estimates and via the use of the Kullback information. A parallel is drawn between inestimability of fixed-effects contrasts and the zero coefficient of determination for contrasts of random effects. The procedure is illustrated with 2 minor hypothetical examples of genetic evaluation based on an animal model and on a sire model. genetic evaluation Kullback information precision mixed linear model disconnectedness Resume Precision et information dans les modèles linéaires d evaluation génétique. Des critères de precision globale d une evaluation génétique utilisant la méthodologie du modèỉe linéaire mixte sont présentés. Leur derivation utilise une extension du coefficient de determination à des combinaisons linéaires d estimees ainsi que I information de Kullback. Un parallèle entre inestimabilité de contrastes pour les effets fixes et existence de contrastes à coefficient de determination nul pour les effets aléatoires est établi. La procedure est Ulustrée par 2 petits exemples fictifs un modèle animal et un modèle père. evaluation génétique precision information de Kullback modèle linéaire mixte disconnexion INTRODUCTION The accuracy of predicted breeding values is commonly assessed by the so-called coefficient of determination CD ie the squared correlation between the true and estimated genetic values. This measures the amount of information that contributes to the prediction of breeding