ABSTRACT
The objective was to evaluate the influence of information quality in the prediction of genetic values for the Nellore cattle's growth traits. The information came from cattle farms participating in the program of the Brazilian National Association of Breeders and Researchers (ANCP), from 2012 to 2013. Field data such as batch or management group were considered assessment criteria, and the growth traits related to body weight at 120 (W120), 210 (W210), 365 (W365) and 450 (W450) days under different scenarios: inclusion of all management lot information; and random inclusion of 90%, 70%, 50%, 30% and 0% of the batch management of information from animals with phenotypic measurements. Breeding values were predicted by using univariate models in animal model. Changes on all genetic parameters were compared to those obtained in the reference scenario. There was an increase in the estimates of heritability as it reduced the number of details about lots of management. These results suggest that gene progress estimated herds with low quality information do not adequately represent what truly occurs with the herd, since heritability estimates may be inflated. Change in the classification of animals was found at all the growth traits. The quality information influences the prediction of breeding values for growth traits.
Keywords:
beef cattle; genetic parameters; management groups; production data