Table 3.

Estimated variance components for the related scenario for three different models: PBLUP, ssGBLUP, and ssGBLUP using metafounders. Residual and genetic variances estimates are presented for purebred traits 1, 2, and 3 and crossbred traits 23 and 1(23)

			Genetic variances and correlations1
Model	Trait	Residual	1	2	3	23	1(23)
PBLUP	1	2.672	1.141	0.614	0.236	0.534	0.505
	2	1.659	0.614	1.063	0.291	0.466	0.212
	3	3.699	0.236	0.291	1.182	0.308	0.195
	23	1.907	0.534	0.466	0.308	1.092	0.512
	1(23)	3.456	0.505	0.212	0.195	0.512	1.286
ssGBLUP	1	2.656	1.173	0.653	0.096	0.576	0.506
	2	1.651	0.653	1.079	0.186	0.528	0.249
	3	3.690	0.096	0.186	1.202	0.288	0.183
	23	1.862	0.576	0.528	0.288	1.155	0.517
	1(23)	3.497	0.506	0.249	0.183	0.517	1.256
ssGBLUP-MF2	1	2.689	1.110	0.754	0.035	0.550	0.474
	2	1.652	0.754	1.071	0.095	0.521	0.376
	3	3.687	0.035	0.095	1.196	0.253	0.215
	23	1.846	0.550	0.521	0.253	1.159	0.530
	1(23)	3.539	0.474	0.376	0.215	0.530	1.160

¹Variances are on the diagonal, correlations are on the off-diagonal. Standard errors of the variances ranged 0.031 to 0.062, and from 0.023 to 0.130 for the genetic correlations. Standard errors for each estimate are presented in Supplementary Table 1.

²Genetic variances after scaling are presented.