Table 2 Prediction efficiencies of genetic models for eight phenotypic traits. Four prediction efficiencies (r1 - predictive ability, r2 - predictive accuracy, r3 - theoretical accuracy, and r4 - prediction accuracy, and their standard errors) for eight traits based on pedigree (PBLUP), and three genomic models (GBLUP, BL, and BRR) combined with two imputation methods (EM and RND)
| Â | Â | Traits | Â | Â | Â | Â | Â | Â | Â |
|---|---|---|---|---|---|---|---|---|---|
Model | Pred. eff. | Ht1 | Ht2 | DBH1 | DBH2 | MFA | MOEs | DEN | MOEd |
PBLUP | r1 | 0.21 ±0.00 | 0.37 ±0.00 | 0.27 ±0.00 | 0.23 ±0.04 | 0.31 ±0.00 | 0.39 ±0.00 | 0.41 ±0.00 | 0.44 ±0.00 |
|  | r2 | 0.54 ±0.01 | 0.61 ±0.01 | 0.55 ±0.01 | 0.49 ±0.01 | 0.63 ±0.01 | 0.62 ±0.00 | 0.65 ±0.00 | 0.71 ±0.00 |
|  | r3 | 0.52 ±0.00 | 0.60 ±0.00 | 0.55 ±0.00 | 0.53 ±0.00 | 0.57 ±0.00 | 0.60 ±0.00 | 0.61 ±0.00 | 0.62 ±0.00 |
|  | r4 | 0.84 ±0.00 | 0.80 ±0.00 | 0.84 ±0.00 | 0.84 ±0.00 | 0.84 ±0.00 | 0.75 ±0.00 | 0.81 ±0.00 | 0.82 ±0.00 |
GBLUP-EM | r1 | 0.20 ±0.00 | 0.39 ±0.00 | 0.26 ±0.00 | 0.26 ±0.00 | 0.29 ±0.00 | 0.38 ±0.00 | 0.40 ±0.00 | 0.41 ±0.00 |
|  | r2 | 0.49 ±0.00 | 0.64 ±0.01 | 0.56 ±0.01 | 0.55 ±0.01 | 0.60 ±0.01 | 0.61 ±0.00 | 0.63 ±0.00 | 0.67 ±0.00 |
|  | r3 | 0.59 ±0.00 | 0.68 ±0.00 | 0.64 ±0.00 | 0.63 ±0.00 | 0.64 ±0.00 | 0.68 ±0.00 | 0.68 ±0.00 | 0.68 ±0.00 |
|  | r4 | 0.68 ±0.00 | 0.75 ±0.00 | 0.73 ±0.00 | 0.73 ±0.00 | 0.72 ±0.00 | 0.69 ±0.00 | 0.73 ±0.00 | 0.73 ±0.00 |
GBLUP-RND | r1 | 0.19 ±0.00 | 0.38 ±0.00 | 0.26 ±0.00 | 0.24 ±0.00 | 0.28 ±0.00 | 0.37 ±0.00 | 0.39 ±0.00 | 0.40 ±0.00 |
|  | r2 | 0.48 ±0.01 | 0.63 ±0.01 | 0.54 ±0.01 | 0.52 ±0.01 | 0.57 ±0.01 | 0.59 ±0.00 | 0.61 ±0.00 | 0.65 ±0.00 |
|  | r3 | 0.55 ±0.00 | 0.63 ±0.00 | 0.58 ±0.00 | 0.57 ±0.00 | 0.58 ±0.00 | 0.63 ±0.00 | 0.64 ±0.00 | 0.64 ±0.00 |
|  | r4 | 0.66 ±0.00 | 0.74 ±0.00 | 0.72 ±0.00 | 0.71 ±0.00 | 0.71 ±0.00 | 0.67 ±0.00 | 0.71 ±0.00 | 0.71 ±0.00 |
BL-EM | r1 | 0.20 ±0.04 | 0.34 ±0.01 | 0.29 ±0.04 | 0.26 ±0.03 | 0.28 ±0.03 | 0.36 ±0.04 | 0.39 ±0.03 | 0.40 ±0.03 |
|  | r2 | 0.50 ±0.10 | 0.57 ±0.02 | 0.60 ±0.08 | 0.56 ±0.07 | 0.58 ±0.06 | 0.58 ±0.06 | 0.61 ±0.05 | 0.65 ±0.05 |
|  | r4 | 0.67 ±0.03 | 0.68 ±0.01 | 0.73 ±0.02 | 0.72 ±0.02 | 0.70 ±0.02 | 0.66 ±0.02 | 0.72 ±0.02 | 0.71 ±0.02 |
BL-RND | r1 | 0.20 ±0.04 | 0.34 ±0.03 | 0.27 ±0.03 | 0.26 ±0.04 | 0.29 ±0.04 | 0.37 ±0.03 | 0.39 ±0.03 | 0.40 ±0.03 |
|  | r2 | 0.48 ±0.10 | 0.57 ±0.05 | 0.58 ±0.07 | 0.56 ±0.08 | 0.61 ±0.08 | 0.62 ±0.05 | 0.62 ±0.05 | 0.64 ±0.05 |
|  | r4 | 0.66 ±0.02 | 0.72 ±0.02 | 0.73 ±0.02 | 0.72 ±0.02 | 0.70 ±0.02 | 0.66 ±0.02 | 0.72 ±0.02 | 0.72 ±0.02 |
BRR-EM | r1 | 0.21 ±0.03 | 0.35 ±0.01 | 0.29 ±0.03 | 0.28 ±0.03 | 0.30 ±0.03 | 0.39 ±0.03 | 0.40 ±0.03 | 0.43 ±0.03 |
|  | r2 | 0.53 ±0.09 | 0.58 ±0.02 | 0.62 ±0.07 | 0.59 ±0.07 | 0.62 ±0.07 | 0.63 ±0.05 | 0.62 ±0.05 | 0.70 ±0.05 |
|  | r4 | 0.67 ±0.02 | 0.68 ±0.01 | 0.73 ±0.02 | 0.72 ±0.02 | 0.72 ±0.02 | 0.68 ±0.02 | 0.72 ±0.02 | 0.73 ±0.02 |
BRR-RND | r1 | 0.22 ±0.04 | 0.39 ±0.03 | 0.25 ±0.03 | 0.24 ±0.04 | 0.27 ±0.04 | 0.35 ±0.03 | 0.39 ±0.03 | 0.40 ±0.03 |
|  | r2 | 0.54 ±0.10 | 0.64 ±0.05 | 0.54 ±0.07 | 0.53 ±0.09 | 0.57 ±0.08 | 0.59 ±0.05 | 0.63 ±0.05 | 0.64 ±0.04 |
|  | r4 | 0.67 ±0.02 | 0.75 ±0.02 | 0.71 ±0.02 | 0.71 ±0.02 | 0.70 ±0.02 | 0.65 ±0.02 | 0.71 ±0.02 | 0.71 ±0.02 |