Table 4.

Estimated variance components for the unrelated scenario for three different models: PBLUP, ssGBLUP, and ssGBLUP using metafounders in the model

			Genetic variances and correlations1
Model	Trait	Residual	1	2	3	23	1(23)
PBLUP	1	2.673	1.112	0.604	0.115	0.352	0.410
	2	1.670	0.604	1.039	0.187	0.516	0.300
	3	3.720	0.115	0.187	1.099	0.269	0.106
	23	1.856	0.352	0.516	0.269	0.904	0.510
	1(23)	3.581	0.410	0.300	0.106	0.510	0.900
ssGBLUP	1	2.615	1.244	0.597	0.069	0.341	0.517
	2	1.640	0.597	1.126	0.151	0.490	0.332
	3	3.651	0.069	0.151	1.245	0.245	0.158
	23	1.827	0.341	0.490	0.245	1.041	0.533
	1(23)	3.544	0.517	0.332	0.158	0.533	1.018
ssGBLUP-MF2	1	2.688	1.080	0.729	0.183	0.468	0.506
	2	1.680	0.729	1.026	0.292	0.475	0.469
	3	3.714	0.183	0.292	1.100	0.297	0.094
	23	1.903	0.468	0.475	0.297	0.826	0.554
	1(23)	3.518	0.506	0.469	0.094	0.554	0.835

Residual and genetic variance estimates are presented for purebred traits 1, 2, and 3 and crossbred traits 23 and 123.

¹Variances are on the diagonal, correlations are on the off-diagonal. Standard errors of the variances ranged from 0.035 to 0.074, and from 0.040 to 0.130 for the genetic correlations. Standard errors for each estimate are presented in Supplementary Table 2.

²Genetic variances after scaling are presented.