Estimation of variance components under major genes influence, comparing Bayesian and classical methodologies under different scenarios

Revista Brasileira de Zootecnia

Torres, Robledo de Almeida²  Carneiro Júnior, José Marques¹  Assis, Giselle Mariano Lessa de¹  Lopes, Paulo Sávio²  Euclydes, Ricardo Frederico² 

[1] Embrapa Acre, Rio Branco;UFV, Viçosa

DOI  :  10.1590/S1516-35982007000600007

学科分类：兽医学

来源: Universidade Federal de Vicosa

【 摘 要 】

This study aimed to evaluate the effects of major genes and population size on variance components estimation using four different types of selected populations. Variance components were estimated by classical and Bayesian methodologies, with three a priori information levels. In general, results from REML and Bayesian analyses with flat priors were similar. Except for Bayesian analysis with an informative prior, additive genetic variance estimates were not accurate in populations in which the trait is controlled by major genes. The use of pedigree information and records of all individuals back to the base-population was necessary to improve accuracy of variance component estimates, except for large populations in which the trait is controlled by a large number of genes.

【 授权许可】

CC BY-NC