Improving the accuracy of genomic prediction in Chinese Holstein cattle by using one-step blending

Table 1 Accuracies of genomic prediction for the validation cows

Trait	GBLUP		Original one-step		Adjusted one-step
Trait	r_v*	Theoretical accuracy	r_v*	Theoretical accuracy	r_v*	Theoretical accuracy
	All validation cows
Milk yield	0.36	0.73	0.46	0.75	0.46	0.75
Fat yield	0.44	0.73	0.60	0.75	0.60	0.75
Fat %	0.52	0.67	0.60	0.69	0.60	0.69
Protein yield	0.37	0.72	0.51	0.74	0.51	0.75
Protein %	0.51	0.67	0.62	0.69	0.62	0.69
Average	0.44	0.70	0.56	0.72	0.56	0.73
	386 validation cows with genotyped dams
Milk yield	0.34	0.73	0.36	0.73	0.37	0.74
Fat yield	0.42	0.73	0.44	0.74	0.44	0.74
Fat %	0.50	0.66	0.52	0.67	0.52	0.67
Protein yield	0.36	0.72	0.37	0.73	0.37	0.73
Protein %	0.48	0.67	0.50	0.67	0.50	0.67
Average	0.42	0.70	0.44	0.71	0.44	0.71
	425 validation cows with both non-genotyped dams and half-sisters
Milk yield	0.36	0.73	0.55	0.76	0.55	0.76
Fat yield	0.46	0.73	0.73	0.76	0.72	0.76
Fat %	0.54	0.67	0.69	0.70	0.69	0.70
Protein yield	0.39	0.75	0.62	0.76	0.62	0.76
Protein %	0.54	0.67	0.73	0.70	0.73	0.70
Average	0.46	0.71	0.66	0.74	0.66	0.74

*r_v is equal to the correlation between the estimated breeding and the DRP divided by the average of the square root of the reliability of the DRP in the validation cows.

ISSN: 1297-9686