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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)

From: Evaluation of the efficiency of genomic versus pedigree predictions for growth and wood quality traits in Scots pine

   Traits        
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