Table 6.

Variance components of intercept, slope and covariances from random regression models

ADG period (dpi)	rg	Intercept-only model	Intercept–slope model
		Intercept	Intercept	Covariance	Slope
0 to 21	0.05	7.65E−04 (2.24E−04)	9.93E−04 (2.98E−04)	−7.57E−06 (3.97E−06)	2.24E−07 (5.80E−08)
	0.3	9.20E−04 (2.53E−04)	9.95E−04 (2.99E−04)	−3.03E−06 (3.27E−06)	1.44E−07 (5.09E−08)
	0.6	1.13E−03 (2.71E−04)	1.03E−03 (2.84E−04)	1.54E−06 (2.13E−06)	5.54E−08 (3.24E−08)
	0.9	1.34E−03 (2.31E−04)	1.19E−03 (1.95E−04)	3.35E−06 (1.06E−06)	1.25E−08 (6.33E−09)
0 to 42	0.05	9.20E−04 (2.83E−04)	1.10E−03 (3.47E−04)	−5.80E−06 (3.59E−06)	1.18E−07 (3.87E−08)
	0.3	1.09E−03 (3.05E−04)	1.12E−03 (3.47E−04)	−1.90E−06 (2.85E−06)	6.85E−08 (3.23E−08)
	0.6	1.28E−03 (3.15E−04)	1.14E−03 (3.19E−04)	−5.57E−07 (1.75E−06)	2.37E−08 (1.65E−08)
	0.9	1.47E−03 (2.57E−04)	1.21E−03 (4.10E−04)	1.95E−06 (1.21E−06)	1.09E−08 (7.13E−09)

Variance components estimated from random regression models based on simulated ADG⁰₂₁ and measured ADG₂₁ (kg/d) or ADG⁰₄₂ and ADG₄₂

Fitted models were the intercept-only model, containing only the overall sire effect on intercept; and the intercept-slope model, containing sire effect on intercept and slope for ADG₂₁ or ADG₄₂, respectively

All other fixed effects/covariates and random effects were identical between models

SE (in brackets) were calculated as the SD over 10,000 replicates

r_g is the simulated genetic correlation between ADG⁰₂₁ or ADG⁰₄₂ and ADG₂₁ or ADG₄₂