Table 5.

Window size, log-likelihood, residual variance (${\mathbf{\sigma }}_{\mathbf{e}}^2$), additive variance (${\mathbf{\sigma }}_{\mathbf{a}}^2$) and intercept ($\mathbf{\mu }$) with the best log-likelihood using real data and different methods

Trait	Method	DW	SW	TMS	$\mathbf{G}$
Scrotal circumference	Window size	8	7	15	–
	Log-likelihood	−1325.48	−1325.60	−1326.95	−1330.15
	Additive variance	5.29	5.44	5.02	3.20
	Residual variance	2.03	2.11	2.32	2.44
Age at puberty	Window size	7	8	11	–
	Log-likelihood	−4401.20	−4402.31	−4400.77	−4405.25
	Additive variance	11273.73	11052.93	11853.68	6816.86
	Residual variance	4902.01	4694.35	5405.72	5729.85
Weight at first corpus luteum	Window size	7	2	3	–
	Log-likelihood	−3493.23	−3493.62	−3492.76	−3494.73
	Additive variance	1451.34	2758.13	3184.40	900.60
	Residual variance	750.88	804.50	845.43	833.38