Table 3.

Estimates of bias when using the ESM and GWAM chip obtained from regressing phenotypes for the TST population on BV predicted using LDA and LDLA composite relationship matrices using different $\mathrm{\lambda }$ values

	ESM		GWAM
	LDA	LDLA	LDA	LDLA
$\mathrm{\lambda }=0$	0.71 (0.08)	0.73 (0.08)	0.71 (0.08)	0.77 (0.08)
$\mathrm{\lambda }=0.1$	0.71 (0.08)	0.72 (0.08)	0.62 (0.07)	0.67 (0.07)
$\mathrm{\lambda }=0.2$	0.71 (0.08)	0.71 (0.08)	0.58 (0.07)	0.63 (0.07)
$\mathrm{\lambda }=0.3$	0.70 (0.07)	0.71 (0.08)	0.56 (0.07)	0.60 (0.07)
$\mathrm{\lambda }=0.4$	0.70 (0.07)	0.70 (0.07)	0.54 (0.07)	0.58 (0.07)
$\mathrm{\lambda }=0.5$	0.69 (0.07)	0.69 (0.07)	0.52 (0.07)	0.56 (0.07)
$\mathrm{\lambda }=0.6$	0.68 (0.07)	0.69 (0.07)	0.51 (0.07)	0.53 (0.07)
$\mathrm{\lambda }=0.7$	0.68 (0.07)	0.68 (0.07)	0.49 (0.07)	0.51 (0.07)
$\mathrm{\lambda }=0.8$	0.68 (0.07)	0.68 (0.07)	0.47 (0.07)	0.49 (0.07)
$\mathrm{\lambda }=0.9$	0.68 (0.07)	0.68 (0.07)	0.46 (0.07)	0.46 (0.07)
$\mathrm{\lambda }=1$	0.68 (0.08)	0.68 (0.07)	0.44 (0.07)	0.44 (0.07)

Standard errors in brackets