Table 2.

Number of iterations needed to reach a difference (for each trait) between intermediate and true estimates of genetic effects (or Legendre polynomials) lower than 1%

Evaluation	Model${}^{\text{a}}$	# Iterations${}^{\text{b}}$	$e_r$ ${}^{\text{c}}$	CR	CD	CK	CM
FIN	ssGBLUP (10)	3200	$4.432\ast {10}^{-3}$	$4.295\ast {10}^{-8}$	$1.134\ast {10}^{-5}$	0.105	0.327
	ssGBLUP (30)	3200	$4.864\ast {10}^{-3}$	$3.162\ast {10}^{-8}$	$1.922\ast {10}^{-5}$	0.181	0.444
	ssSNPBLUP (10)	3200	$2.724\ast {10}^{-3}$	$3.719\ast {10}^{-8}$	$1.871\ast {10}^{-5}$	0.155	0.448
	ssSNPBLUP (30)	3200	$4.600\ast {10}^{-3}$	$5.168\ast {10}^{-8}$	$1.536\ast {10}^{-5}$	0.172	0.412
KAR	ssGBLUP (10)	1800	$8.745\ast {10}^{-4}$	$6.520\ast {10}^{-8}$	$5.535\ast {10}^{-6}$	0.431	0.877
	ssGBLUP (30)	1400	$9.561\ast {10}^{-4}$	$7.483\ast {10}^{-7}$	$8.794\ast {10}^{-6}$	1.163	2.372
	ssSNPBLUP (10)	1900	$8.180\ast {10}^{-4}$	$6.845\ast {10}^{-6}$	$4.194\ast {10}^{-6}$	0.444	0.905
	ssSNPBLUP (30)	1500	$8.181\ast {10}^{-4}$	$4.504\ast {10}^{-6}$	$6.830\ast {10}^{-6}$	0.802	1.636
LON	ssGBLUP (10)	5200	$9.709\ast {10}^{-5}$	$1.590\ast {10}^{-9}$	$6.699\ast {10}^{-8}$	0.006	0.023
	ssSNPBLUP (10)	5600	$1.126\ast {10}^{-4}$	$6.966\ast {10}^{-7}$	$5.583\ast {10}^{-8}$	0.006	0.025
LON + block	ssGBLUP (10)	1600	$4.178\ast {10}^{-5}$	$1.868\ast {10}^{-8}$	$5.976\ast {10}^{-7}$	0.010	0.039
	ssGBLUP (30)	1800	$5.085\ast {10}^{-5}$	$5.054\ast {10}^{-9}$	$5.041\ast {10}^{-7}$	0.011	0.042
	ssSNPBLUP (10)	2000	$6.559\ast {10}^{-5}$	$4.742\ast {10}^{-6}$	$7.822\ast {10}^{-7}$	0.021	0.083
	ssSNPBLUP (30)	2100	$5.314\ast {10}^{-5}$	$1.372\ast {10}^{-6}$	$4.656\ast {10}^{-7}$	0.013	0.052

Values of termination criteria corresponding to the number of iterations are reported

${}^{\text{a}}$Percentage of variance (due to additive genetic effects) explained by residual polygenic effects

${}^{\text{b}}$The solutions were stored and evaluated every 100-th iteration

${}^{\text{c}}$ $e_r$ = relative errors in the solutions