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

Table 10 Accuracies of estimated genetic values with varying numbers of QTL, distributions of homozygous genotypic value, and locations of QTL

Number of QTL	Distribution of homozygous genotypic value ( a )	QTL location	Method	\( {\boldsymbol{\sigma}}_{\boldsymbol{\mathsf{g}}}^{\mathbf{2}} \)	\( {\boldsymbol{\sigma}}_{\boldsymbol{e}}^{\mathbf{2}} \)	\( \boldsymbol{\rho} \)	b
50	Gamma	Random	GBLUP	0.238	0.740	0.528	0.983
			GBLUP-I1	0.295	0.683	0.565	0.989
			GBLUP-I2	0.296	0.685	0.564	0.992
200	Gamma	Random	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
1000	Gamma	Random	GBLUP	0.235	0.745	0.527	0.979
			GBLUP-I1	0.297	0.686	0.568	0.994
			GBLUP-I2	0.294	0.684	0.563	0.993
200	Normal	Random	GBLUP	0.239	0.741	0.529	0.980
			GBLUP-I1	0.294	0.681	0.566	0.991
			GBLUP-I2	0.295	0.683	0.560	0.994
200	Gamma	Evenly spaced	GBLUP	0.245	0.738	0.531	0.989
			GBLUP-I1	0.295	0.688	0.572	0.997
			GBLUP-I2	0.294	0.689	0.567	0.999

Values are the means of 20 replicates; variance components for each source of genetic variation: \( {\sigma}_g^2 \) = 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