Genomic Prediction for Reproductive Traits of Commercial Sows in Health Challenged Herds
- Jack C. M. Dekkers (Iowa State University)
- Nick V. L. Serão (Iowa State University)
- John C. S. Harding (University of Saskatchewan)
- Graham S. Plastow (University of Alberta)
- Cassie Scanlan (Iowa State University)
- Benny Mote (University of Nebraska–Lincoln)
- Philip Willson (University of Saskatchewan)
Abstract
The present study performed genomic prediction for reproductive performance of sows in commercial farms with a history of health problems. Accuracies of genomic predictions for lifetime performance were low to moderate, ranging from 0.11 (TNB) to 0.45 (NBD). Accuracies of genomic prediction for later parity performance using parity 1 performance were low, ranging from -0.07 (NSB in parity 3) to 0.19 (NBD in parity 2), with average accuracies by trait ranging from 0.04 (NSB) to 0.16 (NBD). Although most accuracies were low, the moderately high accuracies for some lifetime performance traits shows that genomic prediction can be used to improve reproductive performance in commercial sows.
How to Cite:
Dekkers, J. C., Serão, N. V., Harding, J. C., Plastow, G. S., Scanlan, C., Mote, B. & Willson, P., (2019) “Genomic Prediction for Reproductive Traits of Commercial Sows in Health Challenged Herds”, Iowa State University Animal Industry Report 16(1).
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