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Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học thế giới đề tài: An expression of mixed animal model means equations to account for different and variances in the base | I 8 MAI 1999 Genet. Sei. Evol. 31 1999 105-113 105 c Inra Elsevier Paris I.N.R.A. C.R.J. Original article Département de Génétique Animate BIBLIOTHÈQUE An expresễi animal model equations to account for different means and variances in the base population Leopoldo Alfonso Joan Estany Area de Producció Animal Centre UdL-IRTA 25198 Lleida Spain Received 23 July 1998 accepted 28 January 1999 Abstract - This paper presents a general expression to predict breeding values using animal models when the base population is selected i.e. the means and variances of breeding values in the base generation differ among individuals. Rules for forming the mixed model equations are also presented. A numerical example illustrates the procedure. Inra Elsevier Paris mixed model equations animal model base population selection Resume Expression générale des equations du modèle animal mixte tenant compte de la selection des populations de base. Cet article présente 1 expression generate pour prédire les valeurs génétiques par le modèle animal quand la population de base est sélectionnée c est-à-dire quand cette population est un melange de sous-populations à moyenne et variances génétiques diíĩérentes. On présente les regies de construction des equations du modèle mixte. La procedure est illustrée par un exemple numérique. Inra Elsevier Paris modèle mixte modèle animal population de base selection 1. INTRODUCTION The prediction of breeding values involves assumptions on animals with unknown parents commonly named the base animals. Correct understanding and definition of the base population are critical for animal models because all subsequent breeding values are tied to them. The usual assumption is to consider base animals unselected. However this condition often does not hold Correspondence and reprints Departamento de Produccion Agraria Universidad Publica de Navarra. Campus Arrosadia 31006 Pamplona Spain E-mail leo.alfonso@upna.es 106 L. Alfonso J. Estany because it is not always .