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

Table 1. Accuracies of genomic prediction for test animals in generation 1 using different methods with varying region sizes, for 200 QTL scenario.

		Single-Trait			Multi-Trait
Trait^a	Region Size^b	BayesAS	GBLUP	wGBLUP^c	BayesAS	GBLUP	wGBLUP
L^d	1 SNP	_b0.495^c	0.493^c	0.499^bc	_b0.539^a	0.540^a	0.535^ab
	100 SNPs	_a0.532^c	0.493^d	0.530^c	_a0.597^a	0.532^c	0.590^b
	1 Chr	_b0.488^b	0.486^b	0.498^b	_b0.557^a	0.543^a	0.558^a
	WG	_b0.488^b	0.489^b	0.482^b	_b0.541^a	0.542^a	0.542^a
H	1 SNP	_b0.714^a	0.702^b	0.715^a	_bc0.713^a	0.705^ab	0.714^a
	100 SNPs	_a0.755^a	0.703^b	0.757^a	_a0.761^a	0.705^b	0.760^a
	1 Chr	_b0.711^ab	0.702^c	0.711^ab	_b0.714^a	0.706^bc	0.715^a
	WG	_c0.701^a	0.701^a	0.688^a	_c0.705^a	0.705^a	0.706^a

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

Chr: chromosome; WG: Whole genome.

wGBLUP: weighted GBLUP.

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.