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

Table 8 Variance component estimates and predictive ability with varying numbers of SNPs ( N _snp ) in scenario 5

N _snp	Method	\( {\boldsymbol{\sigma}}_{\boldsymbol{\mathsf{g}}}^{\mathbf{2}} \)	\( {\boldsymbol{\sigma}}_{\boldsymbol{e}}^{\mathbf{2}} \)	\( \boldsymbol{\rho} \)	b
2000	True value	0.290	0.694	-	-
	GBLUP	0.201	0.770	0.481	0.939
	GBLUP-I1	0.263	0.727	0.521	0.946
	GBLUP-I2	0.256	0.733	0.514	0.948
10 000	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
50 000	True value	0.292	0.693	-	-
	GBLUP	0.242	0.725	0.536	1.072
	GBLUP-I1	0.296	0.687	0.572	1.070
	GBLUP-I2	0.294	0.694	0.566	1.048

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