Genomic best linear unbiased prediction method including imprinting effects for genomic evaluation

Table 4 Variance component estimates and predictive abilities with varying degrees of imprinting ( τ ) in scenario 1

τ	Method	\( {\boldsymbol{\sigma}}_{\boldsymbol{\mathsf{g}}}^{\mathbf{2}} \)	\( {\boldsymbol{\sigma}}_{\boldsymbol{e}}^{\mathbf{2}} \)	ρ	b
0.5	True value	0.293	0.698	-	-
	GBLUP	0.286	0.692	0.626	1.026
	GBLUP-I1	0.300	0.679	0.635	1.010
	GBLUP-I2	0.294	0.679	0.570	0.996
0.75	True value	0.290	0.705	-	-
	GBLUP	0.265	0.716	0.581	1.011
	GBLUP-I1	0.295	0.681	0.599	1.000
	GBLUP-I2	0.300	0.680	0.570	0.989
1.0	True value	0.291	0.701	-	-
	GBLUP	0.239	0.742	0.529	0.982
	GBLUP-I1	0.299	0.681	0.570	0.990
	GBLUP-I2	0.297	0.681	0.565	0.995

Values are the mean of 20 replicates; variance components for each source of genetic variation: \( {\upsigma}_{\mathit{\mathsf{g}}}^2 \) = total genetic variance; \( {\sigma}_e^2 \) = residual variance; predictive abilities: ρ = accuracy of estimated total genetic value; b = regression coefficient of total genetic value on its estimate.

ISSN: 1297-9686