Table 1. Sire variance components of the random regression analyses.

Trait	${\sigma }_{S_0}^2$	${\sigma }_{S_1}^2$	${\rho }_{S_0{S}_1}$
Protein yield, g	2379.37 (87.48)	17.02 (0.98)	0.79
Fat yield, g	7883.41 (257.12)	46.76 (2.43)	0.93
Milk yield, kg	1.30 (0.04)	0.02 (< 0.01)	0.72
ln(protein yield)a	9.50 (< 0.01)	0.11 (< 0.01)	0.61
ln(fat yield)a	12.70 (< 0.01)	0.13 (< 0.01)	0.73
ln(milk yield)a	10.55 (< 0.01)	0.14 (< 0.01)	0.68

Standard errors are shown in parentheses. ${\sigma }_{S_0}^2$ (${\sigma }_{S_1}^2$) denotes the intercept (slope) sire variance, with correlation${\rho }_{S_0{S}_1}$.

^aValues are multiplied by 10,000.