EFEITO DA INCLUSÃO DA COVARIÂNCIA GENÉTICA ADITIVA DIRETA-MATERNAL SOBRE PREDIÇÕES DO VALOR GENÉTICO ADITIVO DIRETO DO PESO A DESMAMA EM DADOS SIMULADOS.

Abstract

The objective was to study the effects on the ordering of the animals by their genetic value of the inclusion of direct maternal additive genetic covariance models of prediction of breeding values for weaning weight in beef cattle using simulated data. The data were simulated considering three different values of maternal direct additive genetic correlation (-0.25, -0.50 and +0.25) and three reasons direct additive variance and maternal additive (1: 1, 1: 2 and 2: 1), making a total of nine scenarios. In each scenario, the breeding values were predicted including whether or not the covariance in the model. The values of the Spearman correlation between animal clinics, considering the predicted genetic value, the scenarios of direct maternal additive genetic correlation -0.50 in the ratios of variances 1: 1 and 2: 1 were equal to 0.84 and 0, 85, respectively; -0.25 scenario the correlation variance in the ratios 1: 1, 1: 2 and 2: 1 were 0.96, 0.95 and 0.97 respectively, and the positive correlation scenario in +0.25 Variance ratios 1: 1, 1: 2 and 2: 1 with values of 0.92, 0.91 and 0.96 respectively. The values were high and significant, suggesting greater consistency between the animal merit orders. The average value for the Spearman correlation estimated in scenario - 0.50 1: 2 was equal to 0.46 indicating lesser proximity between merit orders of individuals in this scenario. The results indicate include the covariance in prediction models for the classification of animals are closer to real.