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Table 5 Multi-site genomic selection prediction accuracies and their standard errors for RR-BLUP and GRR models for the studied five imputation methods

From: Prediction accuracies for growth and wood attributes of interior spruce in space using genotyping-by-sequencing

Trait GS model Imputation method
MI-30% EM-30% MI-60% kNN-Fam-60% SVD-60%
HT RR-BLUP 0.56 ± 0.0013 0.58 ± 0.001 0.60 ± 0.001 0.63 ± 0.001 0.61 ± 0.001
GRR 0.50 ± 0.002 0.48 ± 0.004 0.57 ± 0.003 0.62 ± 0.002 0.58 ± 0.002
DBH RR-BLUP 0.71 ± 0.001 0.72 ± 0.001 0.75 ± 0.001 0.77 ± 0.001 0.76 ± 0.001
GRR 0.71 ± 0.001 0.73 ± 0.001 0.74 ± 0.001 0.77 ± 0.001 0.75 ± 0.001
VOL RR-BLUP 0.67 ± 0.001 0.68 ± 0.001 0.71 ± 0.001 0.73 ± 0.001 0.72 ± 0.001
GRR 0.67 ± 0.001 0.68 ± 0.001 0.70 ± 0.001 0.72 ± 0.001 0.71 ± 0.001
V Dir RR-BLUP 0.59 ± 0.001 0.61 ± 0.001 0.63 ± 0.001 0.67 ± 0.001 0.65 ± 0.001
GRR 0.52 ± 0.004 0.50 ± 0.003 0.62 ± 0.002 0.66 ± 0.001 0.62 ± 0.006
WD Res RR-BLUP 0.56 ± 0.001 0.58 ± 0.001 0.62 ± 0.001 0.64 ± 0.001 0.63 ± 0.001
GRR 0.48 ± 0.002 0.47 ± 0.003 0.59 ± 0.003 0.64 ± 0.002 0.60 ± 0.003
WD X-ray RR-BLUP 0.55 ± 0.001 0.56 ± 0.001 0.59 ± 0.001 0.62 ± 0.001 0.61 ± 0.001
GRR 0.54 ± 0.002 0.55 ± 0.001 0.59 ± 0.002 0.62 ± 0.001 0.60 ± 0.002
MoE d RR-BLUP 0.50 ± 0.001 0.61 ± 0.001 0.63 ± 0.001 0.67 ± 0.001 0.65 ± 0.001
GRR 0.50 ± 0.013 0.56 ± 0.002 0.63 ± 0.002 0.66 ± 0.001 0.64 ± 0.002
Ave. RR-BLUP 0.59 ± 0.073 0.62 ± 0.059 0.65 ± 0.060 0.68 ± 0.055 0.66 ± 0.057
GRR 0.56 ± 0.091 0.57 ± 0.101 0.63 ± 0.063 0.67 ± 0.056 0.64 ± 0.063
  1. Traits are HT: height in m; DBH: diameter at breast height in cm; VOL: stem volume in m3; VDir: acoustic velocity in km/s; WDRes: resistance to drilling; WDX-ray: wood density in kg/m3 using X-ray densitometry; MoEd: dynamic modulus of elasticity.