TAILIEUCHUNG - báo cáo khoa học: "Efficient selection rules to increase non-linear merit: application in mate selection "

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Efficient selection rules to increase non-linear merit: application in mate selection | Génét. Sél. Evol. 1985 17 3 387-406 Efficient selection rules to increase non-linear merit application in mate selection . SMITH and . ALLAIRE . . Department of Dairy Science_ The Ohio State University Columbus OH 43210 . Summary Merit is defined to be a non-linear function of an animal s phenotype for various traits. A Bayesian type selection rule to increase merit in hypothetical populations is proposed. The rule is based on the conditional expectation of total merit in the population given data. This rule has similarities to selection index theory. An animal s phenotype for any trait and data are assumed distributed as multivariate normal random variables. Situations are treated when associated population means are known or unknown. When means are unknown and must be estimated the procedures can take advantage of mixed model methodology. An illustration of its application to a mate selection problem is presented. Key words Bayesian methods mate selection non-linear merit selection. Résumé Decisions efficaces de selection pour une fonction d objectif non linéaire application aux choix des conjoints L objectif de selection est defini par une fonction non linéaire de la valeur phénotypique d un animal pour differents caractères. Une décision de selection de type bayesien est proposée pour accroitre la fonction d objectif dans diverses situations hypothétiques. La decision de selection correspond à 1 espérance conditionnelle de 1 objectif dans la population sachant les données recueillies. Cette règle présente des similitudes avec la théorie des indices de selection. On suppose notamment que le phenotype de I animal et les données ont une distribution conjointe multinormale. On aborde les cas de moyennes connues et inconnues. En situation de moyennes inconnues à estimer les méthodes prọposées peuvent s inspirer de celle de modèle mixte. Un exemple d application relatif au choix des conjoints est donné. Mots clés Methode bayesienne choix des conjoints .

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