Table 3.

Accuracy of 17 traits in the loblolly pine population r(Deregressed Phenotypes, GEBVs)

Trait category	Traits	GBLUP	BayesB	BayesBπ	BayesCπ
Growth	HT	0.376 ± 0.003	0.351 ± 0.003	0.363 ± 0.002	0.374 ± 0.002
	HTLC	0.451 ± 0.002	0.449 ± 0.002	0.448 ± 0.002	0.449 ± 0.001
	BHLC	0.487 ± 0.006	0.468 ± 0.007	0.479 ± 0.007	0.487 ± 0.002
	DBH	0.458 ± 0.002	0.436 ± 0.003	0.446 ± 0.003	0.458 ± 0.002
Development	CWAL	0.381 ± 0.003	0.386 ± 0.003	0.388 ± 0.003	0.382 ± 0.002
	CWAC	0.468 ± 0.002	0.468 ± 0.002	0.474 ± 0.002	0.469 ± 0.002
	BD	0.262 ± 0.004	0.263 ± 0.004	0.265 ± 0.004	0.264 ± 0.003
	BA	0.512 ± 0.003	0.497 ± 0.002	0.500 ± 0.003	0.512 ± 0.002
	Rootnum_bin	0.277 ± 0.003	0.272 ± 0.004	0.279 ± 0.003	0.275 ± 0.002
	Rootnum	0.262 ± 0.003	0.245 ± 0.003	0.253 ± 0.003	0.261 ± 0.002
Disease resistance	Rust_bin	0.306 ± 0.004	0.368 ± 0.004	0.353 ± 0.004	0.32 ± 0.003
	Rust_gall_vol	0.259 ± 0.005	0.325 ± 0.006	0.292 ± 0.006	0.267 ± 0.004
Wood quality	Stiffness	0.424 ± 0.003	0.401 ± 0.003	0.410 ± 0.003	0.422 ± 0.002
	Lignin	0.179 ± 0.005	0.173 ± 0.005	0.176 ± 0.005	0.178 ± 0.003
	LateWood	0.254 ± 0.003	0.254 ± 0.003	0.257 ± 0.003	0.253 ± 0.002
	Density	0.239 ± 0.003	0.226 ± 0.003	0.234 ± 0.003	0.239 ± 0.002
	C5C6	0.264 ± 0.004	0.247 ± 0.004	0.257 ± 0.004	0.262 ± 0.003
Mean accuracy	–	0.345 ± 0.003	0.343 ± 0.004	0.346 ± 0.004	0.345 ± 0.002

The highest accuracies (Mean ± SE) among methods in relevant traits and subpopulations are in bold faces