Summary and Implications
Genomic prediction involves statistical methods to estimate the genetic merit of selection candidates based on genetic markers spaced across the genome. The benefit of genomic prediction depends on the accuracies with which we can predict the genomic estimated breeding values (GEBV) of selection candidates based on their marker genotypes. The objective of this study was to estimate the accuracies of GEBV for traits associated with lactation and reproduction in Yorkshire and Landrace sows. Across both breeds, genomic predictions had greater accuracy than pedigree-based predictions. This result suggests that accuracy of selection can be improved by genomic prediction and, thereby, increase selection response compared to pedigree based genetic evaluation.
Iowa State University
Thekkoot, Dinesh M.; Kemp, Bob; Rothschild, Max F.; Plastow, Graham; and Dekkers, Jack C. M.
"Accuracies of Genomic Prediction of Traits Associated with Lactation and Reproduction in Yorkshire and Landrace Sows,"
Animal Industry Report:
AS 661, ASL R3037.
Available at: https://lib.dr.iastate.edu/ans_air/vol661/iss1/100