Beef

Empirical Progeny Equivalent for Genotyped Animals in Multi-breed Beef Cattle Genetic Evaluations Using Single-step Bayesian Regression Model

Authors
  • Mahdi Saatchi (American Simmental Association)
  • Rohan L. Fernando (Iowa State University)

Abstract

The objective of this study was to measure the accuracies of genomic enhanced EPDs of genotyped animals in an international multi-breed beef cattle genetic evaluations using a single-step Bayesian regression model. The average BIF accuracies of genotyped animals with no progeny information were compared to the average BIF accuracies of non-genotyped sires with different number of progenies with observed phenotypes for birth, weaning and yearling weights. The results showed that the BIF accuracy of a genotyped animal is equivalent to the BIF accuracy of a non-genotyped sire with 21, 22 and 10 progenies with observed phenotypes for BW, WW and YW, respectively. These results demonstrate the value of DNA testing of selection candidates for beef cattle breeders across the world.

How to Cite:

Saatchi, M. & Fernando, R. L., (2018) “Empirical Progeny Equivalent for Genotyped Animals in Multi-breed Beef Cattle Genetic Evaluations Using Single-step Bayesian Regression Model”, Iowa State University Animal Industry Report 15(1). doi: https://doi.org/10.31274/ans_air-180814-483

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Published on
01 Jan 2018
Peer Reviewed