Accuracies of Genomic Prediction in Beef Cattle

  • Mahdi Saatchi (Iowa State University)
  • Dorian J. Garrick (Iowa State University)


The objective of this study was to derive and evaluate the accuracies of molecular breeding values (MBV) for economically relevant traits for commercial implementation in several beef cattle breeds. We developed MBV forHereford, Red Angus and Simmental breeds. Accuracies of MBV ranged from 0.18 to 0.45 in Hereford, 0.37 to 0.85 in Red Angus, and from 0.29 to 0.65 in Simmental using within breed genomic predictions. Single breed genomic predictions had no utility when applied to other breeds. However, the accuracies of MBV improved for some breeds when predictions were derived using multi-breed reference populations. These results have now been implemented as routine predictions for breeders of American Hereford, American Red Angus and American Simmental beef cattle. Similar findings will soon be extended to other breeds.

Keywords: ASL R2771

How to Cite:

Saatchi, M. & Garrick, D. J., (2013) “Accuracies of Genomic Prediction in Beef Cattle”, Iowa State University Animal Industry Report 10(1). doi:

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Published on
01 Jan 2013
Peer Reviewed