Table 3.

Number of iterations needed to reach a Pearson correlation (for each trait) between intermediate and true estimates of genetic effects (or Legendre polynomials) greater than 0.99990

Evaluation	Model${}^{\text{a}}$	# Iterations${}^{\text{b}}$	$e_r$ ${}^{\text{c}}$	CR	CD	CK	CM
FIN	ssGBLUP (10)	2700	$9.547\ast {10}^{-3}$	$1.623\ast {10}^{-7}$	$4.237\ast {10}^{-5}$	0.241	0.749
	ssGBLUP (30)	2600	$1.282\ast {10}^{-2}$	$7.813\ast {10}^{-8}$	$3.195\ast {10}^{-5}$	0.327	0.802
	ssSNPBLUP (10)	2500	$9.372\ast {10}^{-3}$	$1.274\ast {10}^{-7}$	$5.587\ast {10}^{-5}$	0.530	1.533
	ssSNPBLUP (30)	2700	$1.069\ast {10}^{-2}$	$2.117\ast {10}^{-7}$	$4.144\ast {10}^{-5}$	0.335	0.805
KAR	ssGBLUP (10)	1100	$3.460\ast {10}^{-3}$	$3.293\ast {10}^{-7}$	$3.967\ast {10}^{-5}$	2.595	5.284
	ssGBLUP (30)	1100	$3.675\ast {10}^{-3}$	$1.063\ast {10}^{-6}$	$2.904\ast {10}^{-5}$	4.096	8.354
	ssSNPBLUP (10)	1100	$4.115\ast {10}^{-3}$	$1.851\ast {10}^{-5}$	$1.683\ast {10}^{-5}$	2.737	5.572
	ssSNPBLUP (30)	1100	$4.039\ast {10}^{-3}$	$1.135\ast {10}^{-5}$	$2.435\ast {10}^{-5}$	4.189	8.544
LON	ssGBLUP (10)	3900	$1.607\ast {10}^{-4}$	$1.540\ast {10}^{-8}$	$6.789\ast {10}^{-7}$	0.060	0.235
	ssSNPBLUP (10)	4100	$1.974\ast {10}^{-4}$	$1.849\ast {10}^{-6}$	$5.344\ast {10}^{-7}$	0.069	0.267
LON + block	ssGBLUP (10)	1300	$1.476\ast {10}^{-4}$	$2.273\ast {10}^{-8}$	$2.121\ast {10}^{-6}$	0.040	0.154
	ssGBLUP (30)	1500	$1.177\ast {10}^{-4}$	$1.987\ast {10}^{-8}$	$2.003\ast {10}^{-6}$	0.043	0.165
	ssSNPBLUP (10)	1600	$1.393\ast {10}^{-4}$	$1.549\ast {10}^{-5}$	$2.839\ast {10}^{-6}$	0.073	0.282
	ssSNPBLUP (30)	1800	$9.499\ast {10}^{-5}$	$5.961\ast {10}^{-6}$	$1.352\ast {10}^{-6}$	0.039	0.153

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