TAILIEUCHUNG - Báo cáo sinh học: "Genotypic covariance matrices and their inverses for models allowing dominance and inbreeding"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: Genotypic covariance matrices and their inverses for models allowing dominance and inbreeding | 65 Genet Sei Evol 1990 22 65-91 Elsevier INRA Original article Genotypic covariance matrices and their inverses for models allowing dominance and inbreeding SP Smith A Măki-Tanila Animal Genetics and Breeding Unit University of New England Armidale NSW 2351 Australia Received 11 June 1988 accepted 3 July 1989 Summary - Dominance models are parameterized under conditions of inbreeding. The properties of an infinitesimal dominance model are reconsidered. It is shown that mixed-model methodology is justifiable as normality assumptions can be met. Tabular methods for calculating genotypic covariances among inbred relatives are described. These methods employ 5 parameters required to accommodate additivity dominance and inbreeding. Rules for calculating inverse genotypic covariance matrices are presented. These inverse matrices can be used directly to set up the mixed-model equations. The mixed-model methodology allowing for dominance and inbreeding provides a powerful framework to better explain and utilize the observed variation in quantitative traits. dominance inbreeding infinitesimal models inverse mixed model recursion Résumé Matrices de covariances génotypiques et leurs inverses dans les modèles incluant dominance et consạnguinité. Les modèles de génétiqụe quantitative incluant la dominance sont considérés dans des conditions de consanguinité. Après une discussion des propriétés du modèle infinitdsimal on montre que la mdthodologie des modeles mixtes peut êỉre appliquée à cette situation dans la mesure OÙ les hypotheses de normalité peuvent être satisfaites. On décrit des methodes tabulaires pour calculer les covariances génotypiques parmi des apparentés consanguine dont I emploi nécessite I introduction de 5 composantes de variances. On présente les regies du calcul direct de I inverse de ces matrices de covariances génotypiqũes connaissant la généalogie et ces 5 composantes de la variance. Ges matrices inverse peuvent être utilisées directement pour etablir les

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