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

Table 7 Variance component estimates and predictive ability with varying broad-sense heritability ( H ² ) in scenario 4

H ²	Method	\( {\boldsymbol{\sigma}}_{\boldsymbol{\mathsf{g}}}^{\mathbf{2}} \)	\( {\boldsymbol{\sigma}}_{\boldsymbol{e}}^{\mathbf{2}} \)	\( \boldsymbol{\rho} \)	b
0.1	True value	0.096	0.902	-	-
	GBLUP	0.078	0.920	0.367	1.021
	GBLUP-I1	0.094	0.885	0.388	0.990
	GBLUP-I2	0.090	0.886	0.382	0.986
0.3	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
0.5	True value	0.493	0.500	-	-
	GBLUP	0.403	0.597	0.608	1.010
	GBLUP-I1	0.499	0.492	0.664	1.001
	GBLUP-I2	0.498	0.492	0.651	1.000

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