BMC Genomics

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
Trait	GS model	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
HT	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
DBH	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
VOL	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
V _Dir	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
WD _Res	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
WD _X-ray	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
MoE _d	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
Ave.	GRR	0.56 ± 0.091	0.57 ± 0.101	0.63 ± 0.063	0.67 ± 0.056	0.64 ± 0.063

Traits are HT: height in m; DBH: diameter at breast height in cm; VOL: stem volume in m³; V_Dir: acoustic velocity in km/s; WD_Res: resistance to drilling; WD_X-ray: wood density in kg/m³ using X-ray densitometry; MoE_d: dynamic modulus of elasticity.

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