TABLE 3.
Trait | G-BLUP | MIXTURE | BayesB |
---|---|---|---|
Cohort maskinga | |||
Milk yield | 0.591 | 0.575 | 0.577 |
Fat yield | 0.617 | 0.591 | 0.590 |
Protein yield | 0.615 | 0.601 | 0.607 |
cm1 | 0.282 | 0.278 | 0.272 |
cm2 | 0.153 | 0.128 | 0.130 |
cm3 | 0.250 | 0.253 | 0.241 |
Calving ease | 0.406 | 0.411 | 0.429 |
Random maskinga | |||
Milk yield | 0.583 | 0.584 | 0.580 |
Fat yield | 0.609 | 0.610 | 0.588 |
Protein yield | 0.603 | 0.612 | 0.601 |
cm1 | 0.238 | 0.247 | 0.241 |
cm2 | 0.195 | 0.192 | 0.189 |
cm3 | 0.265 | 0.276 | 0.263 |
Calving ease | 0.382 | 0.392 | 0.401 |
Approximate SE |
0.028 |
0.030 |
0.030 |
The accuracy for cohort masking is shown as a combined accuracy estimated for 500 selected individuals, while the accuracy for random masking is shown as the mean of the accuracies for five training data sets and the pooled approximate standard error.