. 2019 Oct 22;124(2):274–287. doi: 10.1038/s41437-019-0273-4

Table 3.

Accuracies for non-genotyped individuals using single- and multi-trait models in scenario G9

Trait¹	Region size²	Single-trait³			Multi-trait
Trait¹	Region size²	ssSNPB1	ssBayesN0	ssSNPB2	ssSNPB1	ssBayesN0	ssSNPB2
L⁴	1 SNP	_ab0.351^c	_ab0.357^c	_ab0.361^c	_b0.402^b	_b0.406^b	_a0.418^a
	100 SNPs	_a0.355^c	_a0.363^c	_a0.363^c	_a0.412^b	_a0.426^a	_a0.427^a
	1 Chr	_b0.340^b	_b0.342^b	_bc0.342^b	_c0.378^a	_c0.377^a	_b0.378^a
	WG	_b0.337^c	_b0.337^c	_c0.336^c	_d0.361^abc	_d0.365^b	_c0.366^a
H	1 SNP	_a0.526^cd	_a0.528^d	_a0.531^bc	_a0.529^bcd	_a0.533^b	_a0.537^a
	100 SNPs	_a0.530^c	_a0.535^b	_a0.535^b	_a0.534^b	_a0.539^a	_a0.539^a
	1 Chr	_b0.513^abc	_b0.513^c	_b0.513^bc	_b0.516^abc	_b0.517^ab	_b0.517^a
	WG	_b0.511^bc	_b0.511^c	_b0.511^bc	_b0.513^abc	_b0.514^ab	_c0.514^a

¹L and H: low (0.1) and high (0.4) heritability traits, respectively

²Chr chromosome, WG whole genome

³ssSNPB1 and ssSNPB2: Single-step SNPBLUP, for which the variance components were obtained from BayesN0 and ssBayesN0, respectively

⁴Different alphabets mean significantly different values at a Type 1 error rate of 0.05 with Bonferroni correction. Subscripts and superscripts stand for comparisons within column and row, respectively, for each trait