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

Table 3. Accuracies of genomic prediction for test animals in generation 2 using different methods with varying region sizes for 500 QTL scenario, when generations 0 and 1 were used as training population.

		Single-Trait			Multi-Trait
Trait^a	Region Size^b	BayesAS	GBLUP	wGBLUP^c	BayesAS	GBLUP	wGBLUP
L^d	1 SNP	_b0.579^b	0.577^b	0.578^b	_b0.626^a	0.626^a	0.627^a
	100 SNPs	_a0.601^b	0.577^c	0.599^b	_a0.666^a	0.623^b	0.661^a
	1 Chr	_b0.569^b	0.577^b	0.575^b	_b0.630^a	0.627^a	0.631^a
	WG	_b0.568^b	0.570^b	0.567^b	_b0.627^a	0.627^a	0.627^a
H	1 SNP	_b0.789^ab	0.778^d	0.790^a	_b0.786^b	0.780^c	0.787^ab
	100 SNPs	_a0.805^b	0.778^d	0.804^b	_a0.809^a	0.780^c	0.808^a
	1 Chr	_c0.779^cd	0.778^bd	0.778^abcd	_c0.782^abcd	0.780^ac	0.783^ab
	WG	_c0.779^ab	0.778^b	0.766^b	_c0.781^a	0.780^a	0.781^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.