. 2018 Sep 7;8(11):3549–3558. doi: 10.1534/g3.118.200673

Table 2. Accuracies of genomic prediction for test animals in generation 1 using different methods with varying region sizes, for 500 QTL scenario.

		Single-Trait			Multi-Trait
Trait^a	Region Size^b	BayesAS	GBLUP	wGBLUP^c	BayesAS	GBLUP	wGBLUP
L^d	1 SNP	_ab0.486^b	0.486^b	0.484^b	_a0.527^a	0.527^a	0.527^a
	100 SNPs	_a0.496^cd	0.486^d	0.494^c^d	_a0.551^a	0.522^b^c	0.547^a^b
	1 Chr	_bc0.475^b	0.484^b	0.485^a^b	_a0.527^a	0.528^a	0.528^a
	WG	_c0.473^b	0.474^b	0.475^b	_a0.529^a	0.528^a	0.528^a
H	1 SNP	_b0.701^a	0.696^c	0.701^a^b^c	_b0.701^a	0.699^b^c	0.701^a
	100 SNPs	_a0.724^a	0.696^c	0.723^a	_a0.727^a	0.699^b	0.725^a
	1 Chr	_bc0.698^cd	0.696^b^d	0.697^a^b^c^d	_b0.702^abcd	0.699^a^c	0.703^a^b
	WG	_c0.695^c	0.695^c	0.684^c	_b0.700^ab	0.699^b^c	0.700^a

^{^a}

L and H: low (0.1) and high (0.4) heritability traits, respectively.

^{^b}

Chr: chromosome; WG: Whole genome.

^{^c}

wGBLUP: weighted GBLUP.

^{^d}

Different alphabets mean significantly different values at a type one error rate of 0.05 with Bonferroni correction. Subscripts and superscripts stand for comparisons within column and row, respectively, for each trait.