TAILIEUCHUNG - Báo cáo khoa hoc:" Simulation analysis to test the influence of model adequacy and data structure on the estimation of genetic parameters for traits with direct and maternal effects"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học thế giới đề tài: Simulation analysis to test the influence of model adequacy and data structure on the estimation of genetic parameters for traits with direct and maternal effects | Genet Sei. Evol. 33 2001 369-395 INRA EDP Sciences 2001 369 Original article Simulation analysis to test the influence of model adequacy and data structure on the estimation of genetic parameters for traits with direct and maternal effects Virginie Clémenta Bernard Bibéa Etienne Verrierb c Jean-Michel Elsena Eduardo Manfredia Jacques Bouixa Eric Hanocqa a Station d amelioration génétique des animaux Institut national de la recherche agronomique BP 27 31326 Castanet-Tolosan Cedex France b Station de génétique quantitative et appliquée Institut national de la recherche agronomique 78352 Jouy-en-Josas Cedex France c Departement des sciences animales Institut national agronomique Paris-Grignon 16 rue Claude Bernard 75231 Paris Cedex 05 France Received 3 May 2000 accepted 5 May 2001 Abstract - Simulations were used to study the influence of model adequacy and data structure on the estimation of genetic parameters for traits governed by direct and maternal effects. To test model adequacy several data sets were simulated according to different underlying genetic assumptions and analysed by comparing the correct and incorrect models. Results showed that omission of one of the random effects leads to an incorrect decomposition of the other components. If maternal genetic effects exist but are neglected direct heritability is overestimated and sometimes more than double. The bias depends on the value of the genetic correlation between direct and maternal effects. To study the influence of data structure on the estimation of genetic parameters several populations were simulated with different degrees of known paternity and different levels of genetic connectedness between flocks. Results showed that the lack of connectedness affects estimates when flocks have different genetic means because no distinction can be made between genetic and environmental differences between flocks. In this case direct and maternal heritabilities are under-estimated whereas maternal environmental

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