Genomic evaluation for two-way crossbred performance in cattle

Table 2 Estimates of variance components and their standard error (SE) obtained with three methods

Trait	Method	\({{\varvec{\upsigma}}}_{\mathbf{u}}^{2}\) (SE)	\({{\varvec{\upsigma}}}_{\mathbf{B}}^{2}\) (SE)	\({{\varvec{\upsigma}}}_{\mathbf{H}}^{2}\) (SE)	\({{\varvec{\upsigma}}}_{\mathbf{e}}^{2}\) (SE)	\({\mathbf{r}}_{\mathbf{g}}\) (SE)	\({\mathbf{h}}^{2}\) (SE)
ADG	ssGBLUP	0.008(0.004)	–	–	0.090(0.004)	− 0.531(0.239)	0.082(0.041)
	MF-ssGBLUP	0.007(0.004)	–	–	0.085(0.004)	− 0.515(0.251)	0.076(0.041)
	BS-ssGBLUP	–	0.004(0.003)	0.023(0.009)	0.083(0.005)	− 0.620(0.197)	0.140(0.050)
FCR	ssGBLUP	0.189(0.093)	–	–	2.191(0.099)	− 0.531(0.239)	0.079(0.038)
	MF-ssGBLUP	0.192(0.096)	–	–	2.199(0.097)	− 0.515(0.251)	0.080(0.039)
	BS-ssGBLUP	–	0.227(0.119)	0.106(0.201)	2.215(0.123)	− 0.620(0.197)	0.070(0.048)

\({\upsigma }_{\mathrm{u}}^{2}\): additive genetic variance; \({\upsigma }_{\mathrm{B}}^{2}\): additive genetic variance for breed BBL; \({\upsigma }_{\mathrm{H}}^{2}\): additive genetic variance for breed HOL; \({\upsigma }_{\mathrm{e}}^{2}\): residual variance; \({\mathrm{r}}_{\mathrm{g}}\): genetic correlation between ADG and FCR; \({\mathrm{h}}^{2}\): heritability, \({\mathrm{h}}^{2}=\frac{{\upsigma }_{\mathrm{u}}^{2}}{{\upsigma }_{\mathrm{u}}^{2}+{\upsigma }_{\mathrm{e}}^{2}}\) for ssGBLUP and MF-ssGBLUP, \({\mathrm{h}}^{2}=\frac{0.5({\upsigma }_{\mathrm{B}}^{2}+{\upsigma }_{\mathrm{H}}^{2})}{0.5({\upsigma }_{\mathrm{B}}^{2}+{\upsigma }_{\mathrm{H}}^{2}+{\upsigma }_{\mathrm{e}}^{2})}\) for BS-ssGBLUP
MF-ssGBLUP: Metafounder ssGBLUP; BS-ssGBLUP: Breed-specific ssGBLUP; ADG: average daily gain; FCR: feed conversion ratio

ISSN: 1297-9686