Table 7.
Mean squared error of predictions from models A and A + D in cross-validation
| Breed | Model | Parameter | Trait | |||
|---|---|---|---|---|---|---|
| CI | Milk yield | Fat yield | Protein yield | |||
| Holstein | A | BV | 1451.26 (45.33) | 589,029.83 (10,194.11) | 883.24 (11.72) | 548.16 (12.58) |
| A + D | BV + DV | 1450.84 (44.97) | 587,372.70 (10,098.80) | 880.95 (11.85) | 546.86 (12.47) | |
| A vs. A + D | P value (BVA vs. [BV + DV]A + D) | 0.5505 | 0.0122 | 0.0056 | 0.0007 | |
| Jersey | A | BV | 1847.03 (50.92) | 302,351.20 (11,723.35) | 684.67 (26.29) | 361.06 (14.41) |
| A + D | BV + DV | 1847.03 (50.92) | 301,162.79 (11,690.03) | 679.29 (25.51) | 358.46 (14.57) | |
| A vs. A + D | P value (BVA vs. [BV + DV]A + D) | 0.2835 | 0.0174 | 0.0281 | 0.0296 | |
Average mean squared errors (MSE) between estimated genetic effects (breeding values [BV] or total genetic values [BV + DV]) obtained from models A (additive effects only) and A + D (additive and dominance effects) and adjusted phenotypes for calving interval (CI), milk, fat and protein yield in Holstein and Jersey cows based on fivefold cross validation
Standard errors (SE) in parentheses