Table 2.

Average out-sample prediction accuracy (measured as the correlation between the GEBVs and the true phenotypes) of four G-BLUP mixed models (with differing genomic matrices) determined by 5-fold cross-validation for the maize, rice, mice and cattle datasets calculated over 500 random partitions of data

Type of matrix	Maize	Rice	Mice	Cattle
VanRaden G matrix	0.22	0.44	0.50	0.18
LDAK weighted G	0.24	0.41	0.52	0.18
Expected LD-G	0.23	—	—	—
Observed LD-G	0.23	0.45	0.53	0.19