Table 5.
Prediction accuracy and bias in the validation population for three traits based on GBLUP
| CC 50k | CC 80k | GBS | LCS_LD1 | LCS | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Accuracy | Bias | Accuracy | Bias | Accuracy | Bias | Accuracy | Bias | Accuracy | Bias | |
| AGE | 0.219 | 1.213 | 0.229 | 1.285 | 0.196 | 1.108 | 0.239 | 1.016 | 0.203 | 1.104 |
| BF | 0.375 | 1.020 | 0.363 | 1.003 | 0.377 | 1.137 | 0.381 | 1.157 | 0.376 | 1.120 |
| TTN | 0.344 | 0.955 | 0.346 | 0.933 | 0.356 | 0.982 | 0.345 | 0.973 | 0.351 | 0.993 |
Accuracy was defined as the Pearson correlation between the GEBV and phenotypes, while bias was defined as the regression coefficient of phenotypes on GEBV
AGE age to 100 kg live weight, BF back fat thickness, TTN total teat number, CC 80 k commercial chip 80k, CC 50k commercial chip 50k, GBS genotyping-by-sequencing, LCS low-coverage sequencing