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Table 7 Mean squared error of predictions from models A and A + D in cross-validation

From: Accounting for dominance to improve genomic evaluations of dairy cows for fertility and milk production traits

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
  1. 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
  2. Standard errors (SE) in parentheses