Table 8 Accuracy of genomic prediction from GBLUP, BayesR, fastBayesB and emBayesR for the 630Â K dairy cattle data for production and functional traits
From: A computationally efficient algorithm for genomic prediction using a Bayesian model
| Â | Production traits | ||||
|---|---|---|---|---|---|
| Â | Milk | Protein | Fertility | Protein% | Fat% |
GBLUP | 0.57 | 0.63 | 0.40 | 0.63 | 0.77 |
BayesR | 0.63 | 0.64 | 0.41 | 0.79 | 0.83 |
FastBayesB | 0.57 | 0.60 | 0.35 | 0.70 | 0.80 |
emBayesR | 0.62 | 0.65 | 0.40 | 0.76 | 0.83 |
| Â | Functional traits | ||||
| Â | Angularity | Mammary conformation | Stature | Somatic cell count | |
GBLUP | 0.45 | 0.28 | 0.47 | 0.71 | |
BayesR | 0.44 | 0.28 | 0.47 | 0.71 | |
FastBayesB | 0.39 | 0.25 | 0.43 | 0.61 | |
emBayesR | 0.45 | 0.30 | 0.47 | 0.69 | |