Table 1.
Number of animals in the analyzed data sets
| Category | Sex | Number of animals |
|---|---|---|
| Phenotype data (Stature) | Females with phenotypes | 1,098,611 |
| Males with MACE DRP | 141,397 | |
| Phenotype data (Foot angle) | Females with phenotypes | 1,098,766 |
| Males with MACE DRP | 117,482 | |
| Genotype data | Females | 70,134 |
| Males (bulls and candidates) | 64,826 | |
| Pedigree data | Females | 1,368,487 |
| Males | 187,508 |
Table 2.
Variance components underlying the analyzed phenotypes
| Trait | σa2 | σe2 | σu2 |
|---|---|---|---|
| Stature | 5.50 | 4.63 | 20% |
| Foot angle | 0.11 | 1.06 | 20% |

Figure 1.
Pearson correlation coefficients of GEBVs predicted by different model variants
Table 3.
Validation of GEBV predictions
| Model variants | R2 | ||||
|---|---|---|---|---|---|
| Stature, 1,727 validation bulls, h2 = 0.54 | |||||
| SNP-BLUP | −3.90 | 0.32 | 1.01 | 0.01 | 0.77 |
| GT | −4.40 | 0.27 | 1.01 | 0.01 | 0.83 |
| APY3000top | −1.81 | 0.44 | 0.94 | 0.02 | 0.57 |
| APY3000random | −2.20 | 0.44 | 0.99 | 0.02 | 0.60 |
| APY10000random | −3.74 | 0.36 | 1.02 | 0.02 | 0.72 |
| APY15000top | −2.59 | 0.32 | 0.96 | 0.01 | 0.75 |
| APY15000random | −2.32 | 0.33 | 0.96 | 0.01 | 0.73 |
| Foot angle, 1,725 validation bulls, h2 = 0.09 | |||||
| SNP-BLUP | −2.03 | 0.18 | 1.03 | 0.01 | 0.76 |
| GT | −1.96 | 0.18 | 1.04 | 0.01 | 0.76 |
| APY3000top | −0.68 | 0.21 | 0.97 | 0.02 | 0.62 |
| APY3000random | −0.52 | 0.26 | 1.03 | 0.02 | 0.60 |
| APY10000random | −2.04 | 0.21 | 1.02 | 0.02 | 0.69 |
| APY15000top | −2.15 | 0.18 | 1.02 | 0.01 | 0.75 |
| APY15000random | −2.10 | 0.19 | 1.03 | 0.02 | 0.73 |

Figure 2.
Mean GEBV difference divided by the genetic standard deviation between SNP-BLUP and GT, as well as SNP-BLUP and APY models implementing different scenarios of core individual selection. (A) stature, (B) foot angle

Figure 3.
Correlation between full and truncated data set for cows with phenotype records and bulls with a minimum of one daughter. (A) stature, (B) foot angle

Figure 4.
An upset plot of bulls with the top 50 GEBVs. (A) stature, (B) foot angle
Table 4.
Computational resources utilized by the solvers
| Model variants | Wall clock time (min) | Peak RAM consumption (GB) | Number of iterations | |||
|---|---|---|---|---|---|---|
| stature | foot angle | stature | foot angle | stature | foot angle | |
| SNP-BLUP | 23 | 32 | 5.81 | 5.81 | 673 | 1027 |
| GT | 138 | 143 | 63.89 | 63.88 | 477 | 629 |
| APY3000top | 23 | 29 | 49.48 | 49.47 | 335 | 811 |
| APY3000random | 23 | 32 | 49.48 | 49.47 | 390 | 499 |
| APY10000random | 32 | 34 | 56.53 | 56.53 | 469 | 652 |
| APY15000top | 68 | 70 | 61.56 | 61.56 | 425 | 625 |
| APY15000random | 54 | 57 | 61.56 | 61.56 | 477 | 551 |
