The aim of this research was to investigate the effect of prioritized genotyping cows to improve the accuracy of genomic selection. In the study, TBVs, genotypic and phenotypic data of 326 target bulls, 4,138 training bulls and 5,000 prioritized genotyping cows were simulated based on a real pedigree of dairy cattle. The heritability was 0.8 for bulls and 0.2 for cows. The bulls were 54K genotyped, and cows were 10K genotyped. The GEBVs of target bulls were predicted with training bulls only, and with 1,000, 2,000, 3,000, 4,000 and 5,000 cows included, using GBLUP method. Both weighted and unweighted analyses were carried out. The accuracy was the correlation between GEBVs and TBVs. The results showed that including cows may help to improve the accuracy of the GEBV prediction when reference animals were weighted. When animals were unweighted, including cows didn’t improve the accuracy.

Tu Luan, Xijiang Yu, Theo HE Meuwissen

Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume Genetic Improvement Programs: Selection using molecular information (Posters), , 500, 2014
Download Full PDF BibTEX Citation Endnote Citation Search the Proceedings

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.