The effect of using genealogy-based haplotypes for genomic prediction

Table 3 Regression coefficients (REG) and standard errors (SE) of de-regressed EBV on genomic prediction

Prediction method	Fertility		Protein yield		Mastitis
Prediction method	REG	SE	REG	SE	REG	SE
Individual marker prediction
GBLUP	0.968	0.053	0.869	0.031	0.969	0.045
BayesC π = 0.999	0.848	0.055	0.744	0.033	0.861	0.050
BayesC π = 0.99	0.915	0.053	0.827	0.031	0.930	0.046
BayesCπ	0.956	0.053	0.869	0.031	0.966	0.044
BayesBπ	0.922	0.051	0.847	0.030	0.978	0.045
BayesB π = 0.99	0.911	0.053	0.825	0.031	0.935	0.047
Haplotype prediction
GBLUP	0.961	0.053	0.891	0.031	0.987	0.045
BayesC π = 0.999	0.877	0.052	0.826	0.032	0.908	0.047
BayesC π = 0.99	0.956	0.052	0.871	0.030	0.972	0.044
BayesCπ	0.956	0.053	0.884	0.030	0.980	0.045
BayesBπ	0.906	0.050	0.850	0.029	0.996	0.045
BayesB π = 0.99	0.926	0.051	0.850	0.030	0.985	0.046

ISSN: 1297-9686