Application of a Bayesian non-linear model hybrid scheme to sequence data for genomic prediction and QTL mapping

BMC Genomics

Table 4 The across breed prediction accuracy of GBLUP, BayesR, and HyB_BR on SEQ data related to Fat Yield, Milk Yield, Protein Yield, Fat%, Protein% and Fertility

	Across breeds prediction on Australian red bulls
	Fat Yield		Milk Yield		Protein Yield		Fat%		Protein%		Fertility
	Acc.	Bias	Acc.	Bias	Acc.	Bias	Acc.	Bias	Acc.	Bias	Acc.	Bias
GBLUP	0.13	0.58	0.21	0.59	0.15	0.71	0.39	0.61	0.50	1.32	0.22	0.96
BayesR	0.35	1.31	0.22	0.77	0.24	0.92	0.40	0.61	0.53	0.86	0.27	0.97
HyB_BR	0.28	0.74	0.36	0.70	0.26	0.74	0.47	0.66	0.53	0.88	0.27	0.95
	Across breeds prediction on Australian red cows
	Fat Yield		Milk Yield		Protein Yield		Fat%		Protein%		Fertility
	Acc.	Bias	Acc.	Bias	Acc.	Bias	Acc.	Bias	Acc.	Bias	Acc.	Bias
GBLUP	0.15	0.77	0.11	0.37	0.12	0.57	0.31	0.92	0.34	1.09	0.07	0.61
BayesR	0.28	1.02	0.22	0.55	0.16	0.60	0.37	0.94	0.34	0.93	0.07	0.52
HyB_BR	0.25	0.88	0.23	0.54	0.16	0.59	0.37	0.91	0.34	0.91	0.07	0.57

The bulls and cows from two breeds of Holstein and Jersey are used as the reference set to predict Australian red bulls and cows

ISSN: 1471-2164