Author(s): MARCIANO, L. E. A.; MAIA, R. de O. G.; SANTOS; DUARTE, I. N. H.; BERNARDES, P. A.; CHUD, T. C. S.; REGITANO, L. C. de A.; BUZANSKAS, M. E.

Summary: The use of genomic tools in animal breeding has been widely applied to improve productivity. Imputation methods could be used to reduce genotyping costs and increase the amount of genomic information, which are needed for various studies. The aim of this study was to consider the Canchim cattle (a composite beef breed) as target population and the Nelore breed as reference population to evaluate the imputation accuracy. A total of 285 Canchim, 114 MA genetic group and 814 Nelore animals were used in this study. Imputation was carried out using the FImpute software and genotype imputation accuracy was measured by concordance rate (CR) and allelic R square (R2). Five imputation scenarios were tested and CR results varied from 64.71% to 89.69%. The R2 varied from 0.63 to 0.91. High accuracy was obtained in the scenario considering Nelore and Canchim as reference population and MA animals as target. Despite of presenting acceptable accuracies, which indicates the possibility of using Nelore genotypes for imputing genetic markers in Canchim and MA animals, other studies should be carried out to evaluate different reference populations to obtain greater accuracies.

Publication year: 2018

Types of publication: Paper in annals and proceedings

Unit: Embrapa Southeastern Livestock

Keywords: Animal breeding, Beef cattle, Bovino, Gado de Corte, Marcadores moleculares, Melhoramento Genético Animal, Raça composta, Reprodução Animal