Average daily weight gain data were recorded for 804 Nellore finishing steers during feedlot periods in Brazil between 2007 and 2009 and two experimental stations. These animals were genotyped with a 700k SNP panel, which yielded three other SNP subset strategies (TagSNPs, GGP HDi and GGP LDi). The genomic breeding values were estimated by the rr-BLUP approach and their accuracies were computed to compare the strategies. It was possible to observe some differences among the genetic variances assessed by each of the subsets. GGP HDi 90K and TagSNPs strategies estimated GEBVs with a wider distribution than SNPs from the whole dataset. This can be an evidence that using more informative markers in a small sample could result in better accuracies estimations. However, the differences in the variances of the GEBV suggest a necessity for a new parameterization of the model.
Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume Genetic Improvement Programs: Selection using molecular information (Posters), , 511, 2014
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