Use of genomic information to exploit genotype-by-environment interactions for body weight of broiler chicken in bio-secure and production environments

Table 4 Cross-validation measures for genotyped and non-genotyped validation birds in the B environment using pedigree-based BLUP (PBLUP) and single-step GBLUP (ssGBLUP) models

Model	Validated traits	Genotyped validation birds			Non-genotyped validation birds
Model	Validated traits	\(\rho_{f,r}\)	\(b_{f,r}\)	\(d_{f,r}\)	\(\rho_{f,r}\)	\(b_{f,r}\)	\(d_{f,r}\)
PBLUP	BW5.B	0.509	0.898	0.106	0.588	0.874	− 0.081
	BW6.B	0.457	0.858	0.129	0.570	0.849	− 0.083
	BW5.C	0.616	1.055	0.088	0.678	1.026	− 0.052
	BW6.C	0.591	1.024	0.084	0.670	1.014	− 0.048
Range of SE		0.013–0.015	0.023–0.028	0.004–0.006	0.007–0.008	0.011–0.012	0.002–0.003
ssGBLUP	BW5.B	0.767	0.913	0.026	0.625	0.841	− 0.095
	BW6.B	0.791	0.946	0.043	0.653	0.867	− 0.091
	BW5.C	0.811	0.937	− 0.001	0.758	0.951	− 0.076
	BW6.C	0.813	0.939	0.000	0.770	0.965	− 0.069
Range of SE		0.010–0.011	0.011–0.013	0.003–0.004	0.006–0.008	0.008–0.010	0.002–0.003

For the validation birds, the traits were body weight (BW) at 5 and 6 weeks of age measured in the breeding (B) and commercial production (C) environments
\(\rho_{f,r}\) is the correlation between \({\mathbf{EBV}}_{f}\) and \({\mathbf{EBV}}_{r}\); \(b_{f,r}\) is the regression slope of \({\mathbf{EBV}}_{f}\) on \({\mathbf{EBV}}_{r}\); and \(d_{f,r}\) is the mean of \({\mathbf{EBV}}_{f}\) − \({\mathbf{EBV}}_{r}\); \({\mathbf{EBV}}_{f}\) and \({\mathbf{EBV}}_{r}\) are vectors of breeding values of the validation birds measured in B and estimated from the full and reduced datasets, respectively
SE standard errors

ISSN: 1297-9686