Table 2.

Correlation between true ( g ) and predicted ( ĝ ) breeding values in the Angus (PV) and multibreed (MV) validation populations

				$$(g_{\mathit{\text{PV}}},{ĝ}_{\mathit{\text{PV}}|\mathit{\text{PT}}})$$			$$r(g_{\mathit{\text{MV}}},{ĝ}_{\mathit{\text{MV}}|\mathit{\text{PT}}})$$
Type of phenotype	Model	h 2	c	n = 1000	n = 2250		n = 1000	n = 2250
Continuous	Linear	0.10	-	0.12 ± 0.02	0.31 ± 0.02		0.04 ± 0.01	0.23 ± 0.02
		0.25	-	0.28 ± 0.03	0.51 ± 0.02		0.21 ± 0.02	0.41 ± 0.02
		0.50	-	0.55 ± 0.02	0.66 ± 0.02		0.42 ± 0.02	0.53 ± 0.01
Categorical	Threshold	0.10	2	0.04 ± 0.02	0.14 ± 0.02		0.01 ± 0.01	0.09 ± 0.02
			3	0.05 ± 0.01	0.13 ± 0.03		0.03 ± 0.01	0.09 ± 0.02
			4	0.07 ± 0.01	0.14 ± 0.02		0.02 ± 0.01	0.10 ± 0.02
		0.25	2	0.15 ± 0.03	0.29 ± 0.03		0.10 ± 0.02	0.22 ± 0.08
			3	0.15 ± 0.03	0.32 ± 0.03		0.11 ± 0.02	0.24 ± 0.02
			4	0.16 ± 0.03	0.34 ± 0.03		0.10 ± 0.02	0.27 ± 0.02
		0.50	2	0.32 ± 0.02	0.51 ± 0.02		0.26 ± 0.02	0.41 ± 0.02
			3	0.36 ± 0.02	0.53 ± 0.02		0.28 ± 0.02	0.43 ± 0.02
			4	0.38 ± 0.02	0.55 ± 0.02		0.29 ± 0.02	0.44 ± 0.02
Categorical	Linear	0.10	2	0.04 ± 0.01	0.04 ± 0.01		0.01 ± 0.01	0.01 ± 0.01
			3	0.04 ± 0.01	0.04 ± 0.01		0.01 ± 0.01	0.01 ± 0.01
			4	0.03 ± 0.01	0.03 ± 0.01		0.01 ± 0.01	0.01 ± 0.01
		0.25	2	0.09 ± 0.02	0.23 ± 0.03		0.08 ± 0.02	0.18 ± 0.02
			3	0.09 ± 0.02	0.23 ± 0.03		0.06 ± 0.02	0.18 ± 0.03
			4	0.05 ± 0.01	0.24 ± 0.03		0.03 ± 0.01	0.19 ± 0.02
		0.50	2	0.25 ± 0.03	0.46 ± 0.02		0.20 ± 0.02	0.38 ± 0.02
			3	0.26 ± 0.03	0.48 ± 0.02		0.19 ± 0.02	0.38 ± 0.02
			4	0.29 ± 0.03	0.50 ± 0.03		0.20 ± 0.02	0.39 ± 0.02

Results are given for Bayes C π linear model analysis of continuous phenotypes and Bayes C π linear or threshold model analysis of ordinal categorical phenotypes classified (c) as 2, 3 or 4 categories with heritabilities (h²) of 0.10, 0.25 or 0.50 in the Angus training (PT) population with (n) 1000 or 2250 observations.