On the use of whole-genome sequence data for across-breed genomic prediction and fine-scale mapping of QTL

Table 3 Correlations between GEBV and (D)YD^a for milk, fat and protein yield, and fat and protein percentage using across-breed GBLUP, Bayes GC, and Bayes R predictions, when only 600 k SNP-chip data was used

	N^b		Bayes GC	BayesR^c
kg milk
Holstein bulls	826	0.714	0.73	0.712
Jersey bulls	221	0.643	0.678	0.651
Australian Red cows	1579	0.23	0.26	0.272
kg fat
Holstein bulls	826	0.658	0.671
Jersey bulls	221	0.683	0.687
Australian Red cows	1579	0.229	0.269
kg protein
Holstein bulls	826	0.67	0.678
Jersey bulls	221	0.711	0.727
Australian Red cows	1579	0.168	0.189
Fat %
Holstein bulls	826	0.794	0.803
Jersey bulls	221	0.649	0.681
Australian Red cows	1579	0.245	0.274
Protein %
Holstein bulls	826	0.87	0.876
Jersey bulls	221	0.819	0.832
Australian Red cows	1579	0.179	0.325

^aDYD: daughter yield deviation for Holstein and Jersey bulls; YD: yield deviation for Australian Red Cows
^bNumber of validation animals
^cBecause of the high computational costs Bayes R was only performed for milk yield

ISSN: 1297-9686