BMC Genomic Data

Table 4 Comparison of breed prediction results

From: Genomic breed prediction in New Zealand sheep

				Intercept		Slope
Set	Breed	Method1	Method2	Value	SE	Value	SE	Correlation
Train	Romney	Recorded	GS	-0.005	0.000	1.008	0.000	1.000
Train	Romney	Recorded	Regp	0.056	0.003	0.939	0.004	0.968
Train	Romney	Regp	GS	-0.024	0.003	1.008	0.004	0.970
Train	Coopworth	Recorded	GS	-0.002	0.000	1.010	0.000	1.000
Train	Coopworth	Recorded	Regp	-0.002	0.002	0.949	0.003	0.974
Train	Coopworth	Regp	GS	0.012	0.001	1.013	0.003	0.976
Train	Perendale	Recorded	GS	0.000	0.000	1.010	0.000	1.000
Train	Perendale	Recorded	Regp	-0.016	0.001	0.919	0.005	0.945
Train	Perendale	Regp	GS	0.025	0.001	0.986	0.005	0.948
Train	Texel	Recorded	GS	0.000	0.000	1.022	0.000	1.000
Train	Texel	Recorded	Regp	-0.011	0.001	0.907	0.005	0.945
Train	Texel	Regp	GS	0.017	0.001	1.012	0.005	0.949
Non-train	Romney	Recorded	GS	-0.047	0.003	1.026	0.004	0.966
Non-train	Romney	Recorded	Regp	0.006	0.002	0.967	0.004	0.967
Non-train	Romney	Regp	GS	-0.079	0.002	1.049	0.003	0.971
Non-train	Coopworth	Recorded	GS	-0.026	0.002	1.007	0.004	0.964
Non-train	Coopworth	Recorded	Regp	-0.023	0.002	0.952	0.004	0.958
Non-train	Coopworth	Regp	GS	0.017	0.001	1.009	0.002	0.981
Non-train	Perendale	Recorded	GS	-0.020	0.002	0.951	0.006	0.925
Non-train	Perendale	Recorded	Regp	-0.041	0.002	0.819	0.008	0.849
Non-train	Perendale	Regp	GS	0.066	0.001	1.019	0.004	0.931
Non-train	Texel	Recorded	GS	-0.009	0.001	0.989	0.005	0.940
Non-train	Texel	Recorded	Regp	-0.027	0.002	0.868	0.006	0.913
Non-train	Texel	Regp	GS	0.037	0.001	1.080	0.004	0.954

Summary of regressions of breed proportions from Method1 on those from Method2 (Recorded is from SIL; GS is the genomic selection method; Regp is the regression method). Regression parameters shown are the intercept and slope, along with their standard errors (SEs), and the correlation. The sets are either the subset of training animals (Train), or the subset that were not training animals (Non-train).

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