Beef

Accuracy of Genomic Predictions for Birth, Weaning and Yearling Weights in US Simmental Beef Cattle

Authors
  • Hailin Su (Iowa State University)
  • Rohan L. Fernando (Iowa State University)
  • Dorian J. Garrick (Iowa State University)
  • Bruce Golden (California Polytechnic State University, San Luis Obispo)

Abstract

Direct genomic breeding values (DGV) based on actual or imputed GeneSeek Genomic Profiler HD (GGPHD) genotypes were obtained for birth, weaning and yearling weights using Bayesian regression on about 20,000 US Simmental pure- or cross-bred beef cattle. Accuracies of DGV were quantified using 4-fold cross validation. Accuracies expressed as genetic correlations between DGV and trait ranged from 0.61 to 0.65, and the regressions of phenotype on DGV ranged from 0.61 to 0.66. These results indicate good predictive ability of genomic prediction with GGPHD chips but DGV need to be adjusted for bias.

Keywords: Animal Science, ASL R2957

How to Cite:

Su, H., Fernando, R. L., Garrick, D. J. & Golden, B., (2015) “Accuracy of Genomic Predictions for Birth, Weaning and Yearling Weights in US Simmental Beef Cattle”, Iowa State University Animal Industry Report 12(1). doi: https://doi.org/10.31274/ans_air-180814-1279

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Published on
01 Jan 2015
Peer Reviewed