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

Table 5 Variance component estimates and predictive ability with varying numbers of QTL with imprinting ( N _i ) in scenario 2

N _i	Method	\( {\boldsymbol{\sigma}}_{\boldsymbol{\mathsf{g}}}^{\mathbf{2}} \)	\( {\boldsymbol{\sigma}}_{\boldsymbol{e}}^{\mathbf{2}} \)	\( \boldsymbol{\rho} \)	b
20	True value	0.289	0.705	-	-
	GBLUP	0.287	0.696	0.659	1.078
	GBLUP-I1	0.291	0.689	0.660	1.076
	GBLUP-I2	0.286	0.688	0.596	1.071
60	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
100	True value	0.293	0.698	-	-
	GBLUP	0.229	0.756	0.518	0.975
	GBLUP-I1	0.298	0.683	0.564	0.982
	GBLUP-I2	0.295	0.664	0.575	0.999

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