Table 5.
Comparison of genomic estimated breeding values (GEBV) and true breeding values (TBV) for BLUP models.
| Model | Accuracy | Regression coefficient | Rank correlation |
| GPBLUP1 | 0.23 | 0.06 | 0.14 |
| GPBLUP2 | 0.49 | 0.29 | 0.28 |
| GPBLUP3 | 0.52 | 0.39 | 0.31 |
| GPBLUP4 | 0.58 | 0.56 | 0.38 |
| GPBLUP5 | 0.75 | 0.99 | 0.40 |
| GPBLUP6 | 0.73 | 1.07 | 0.45 |
| GPBLUP7 | 0.71 | 1.01 | 0.46 |
| GPBLUP8 | 0.61 | 0.88 | 0.44 |
| GPBLUP9 | 0.55 | 0.41 | 0.20 |
| GPBLUP10 | 0.77 | 0.94 | 0.35 |
| GPBLUP11 | 0.55 | 1.14 | 0.19 |
| GPBLUP12 | 0.53 | 1.36 | 0.25 |
| GPBLUP13 | 0.22 | 0.06 | -0.02 |
| GPBLUP14 | 0.51 | 0.31 | 0.22 |
| GPBLUP15 | 0.49 | 0.29 | 0.21 |
| GPBLUP16 | 0.45 | 0.85 | 0.17 |
1Accuracy of GEBV measured as correlation between GEBV and TBV. 2Regression of GEBV on TBV as a measure of bias. 3Average squared difference between GEBV and TBV. 4Rank correlation between TBV and GEBV for individuals in the top 10% TBV rank.