TABLE 3.
Prediction accuracy for VNN resistance in two European sea bass commercial cohorts (VNN_A and VNN_B), vibriosis resistance in one European sea bass commercial cohort (VIB) and pasteurellosis resistance in one gilthead sea bream commercial cohort (PAS) using different training population sizes and marker densities.
| Data set | Training population size | PBLUP | GBLUP_1K | GBLUP_3K | GBLUP_6K | GBLUP_10K | GBLUP_full |
|---|---|---|---|---|---|---|---|
| VNN_A | 50 | 0.18 | 0.31 | 0.33 | 0.34 | 0.33 | 0.34 |
| 100 | 0.26 | 0.39 | 0.41 | 0.42 | 0.41 | 0.42 | |
| 150 | 0.32 | 0.45 | 0.47 | 0.49 | 0.47 | 0.49 | |
| 200 | 0.35 | 0.47 | 0.49 | 0.51 | 0.49 | 0.51 | |
| 300 | 0.40 | 0.51 | 0.53 | 0.55 | 0.53 | 0.55 | |
| 400 | 0.44 | 0.54 | 0.56 | 0.58 | 0.56 | 0.58 | |
| 500 | 0.47 | 0.55 | 0.58 | 0.61 | 0.59 | 0.61 | |
| 600 | 0.49 | 0.56 | 0.59 | 0.62 | 0.59 | 0.61 | |
| 700 | 0.50 | 0.57 | 0.60 | 0.63 | 0.61 | 0.63 | |
| 800 | 0.52 | 0.59 | 0.62 | 0.65 | 0.62 | 0.64 | |
| VNN_B | 50 | 0.18 | 0.17 | 0.18 | 0.19 | 0.19 | 0.19 |
| 100 | 0.25 | 0.23 | 0.26 | 0.26 | 0.26 | 0.26 | |
| 150 | 0.32 | 0.30 | 0.32 | 0.34 | 0.33 | 0.33 | |
| 200 | 0.34 | 0.32 | 0.34 | 0.36 | 0.35 | 0.35 | |
| 300 | 0.39 | 0.36 | 0.39 | 0.41 | 0.39 | 0.40 | |
| 400 | 0.42 | 0.39 | 0.42 | 0.45 | 0.43 | 0.43 | |
| 500 | 0.46 | 0.42 | 0.45 | 0.49 | 0.46 | 0.46 | |
| 600 | 0.47 | 0.44 | 0.47 | 0.51 | 0.48 | 0.49 | |
| 700 | 0.49 | 0.46 | 0.48 | 0.53 | 0.49 | 0.50 | |
| 800 | 0.52 | 0.48 | 0.51 | 0.56 | 0.51 | 0.52 | |
| VIB | 50 | 0.15 | 0.18 | 0.17 | 0.16 | 0.17 | 0.17 |
| 100 | 0.21 | 0.26 | 0.25 | 0.23 | 0.25 | 0.24 | |
| 150 | 0.23 | 0.30 | 0.28 | 0.27 | 0.28 | 0.28 | |
| 200 | 0.26 | 0.33 | 0.31 | 0.30 | 0.32 | 0.31 | |
| 300 | 0.32 | 0.40 | 0.39 | 0.36 | 0.39 | 0.37 | |
| 400 | 0.38 | 0.44 | 0.44 | 0.42 | 0.44 | 0.43 | |
| 500 | 0.40 | 0.46 | 0.46 | 0.44 | 0.46 | 0.45 | |
| 600 | 0.42 | 0.48 | 0.49 | 0.47 | 0.49 | 0.48 | |
| 700 | 0.45 | 0.50 | 0.51 | 0.49 | 0.51 | 0.50 | |
| 800 | 0.46 | 0.51 | 0.53 | 0.51 | 0.53 | 0.52 | |
| PAS | 50 | 0.25 | 0.26 | 0.27 | 0.28 | 0.27 | 0.28 |
| 100 | 0.37 | 0.35 | 0.38 | 0.39 | 0.38 | 0.38 | |
| 150 | 0.41 | 0.39 | 0.42 | 0.44 | 0.42 | 0.42 | |
| 200 | 0.44 | 0.43 | 0.45 | 0.47 | 0.45 | 0.46 | |
| 300 | 0.51 | 0.51 | 0.53 | 0.55 | 0.52 | 0.52 | |
| 400 | 0.53 | 0.54 | 0.56 | 0.58 | 0.55 | 0.55 | |
| 500 | 0.56 | 0.58 | 0.59 | 0.61 | 0.58 | 0.58 | |
| 600 | 0.56 | 0.59 | 0.61 | 0.63 | 0.59 | 0.59 | |
| 700 | 0.57 | 0.61 | 0.63 | 0.64 | 0.61 | 0.61 |
Prediction accuracy values are averaged over 100 replicates.