Table 2 Within-breed imputation error rate and others parameters affecting imputation error rate
From: High-density marker imputation accuracy in sixteen French cattle breeds
Training population size | Validation population size | Allelic imputation error rate (%) | LD level at 70 kb | Average RT/V | |
|---|---|---|---|---|---|
Dairy breeds | |||||
Abondance (ABO) | 169 | 40 | 0.75 | 0.217 | 0.146 |
Brown Swiss (BSW) | 79 | 20 | 1.92 | 0.255 | 0.074 |
Holstein (HOL) | 634 | 154 | 0.73 | 0.255 | 0.078 |
Montbéliarde (MON) | 424 | 106 | 0.51 | 0.196 | 0.116 |
Normande (HOR) | 444 | 107 | 0.33 | 0.233 | 0.104 |
Simmental (SIM) | 100 | 25 | 2.55 | 0.209 | 0.050 |
Beef breeds | |||||
Aubrac (AUB) | 204 | 50 | 2.03 | 0.177 | 0.028 |
Bazadaise (BAZ) | 72 | 17 | 2.07 | 0.239 | 0.038 |
Blonde d'Aquitaine (BLA) | 262 | 65 | 1.80 | 0.175 | 0.038 |
Charolais (CHA) | 539 | 133 | 0.68 | 0.176 | 0.018 |
Gasconne (GAS) | 131 | 32 | 2.26 | 0.174 | 0.026 |
Limousine (LIM) | 370 | 92 | 1.09 | 0.164 | 0.014 |
Parthenaise (PAR) | 245 | 59 | 1.88 | 0.161 | 0.024 |
Rouge des Prés (RDP) | 119 | 30 | 2.39 | 0.206 | 0.028 |
Salers (SAL) | 197 | 49 | 1.27 | 0.213 | 0.024 |