Improving accuracy of genomic prediction by genetic architecture based priors in a Bayesian model

BMC Genomic Data

Table 1 Descriptive statistics of trait phenotypes

Datasets	Traits^a	N	Min.	Mean	Max.	S.D.	CV%
Dairy cattle	MY	5024	−3.383	0.000	3.319	1.000	–
	MFP	5024	−3.569	0.000	4.281	1.000	–
	SCS	5024	−4.462	0.000	3.469	1.000	–
Loblolly Pine	HT	927	−287.700	20.300	226.10	73.315	361.158
	HTLC	927	−94.110	3.304	89.080	24.976	755.932
	BHLC	927	−1.578	0.092	1.573	0.507	551.087
	DBH	927	−5.439	0.294	1.349	4.150	1411.565
	CWAL	927	−91.190	2.443	130.800	27.326	1118.543
	CWAC	927	−140.600	2.276	157.000	42.033	1846.793
	BD	927	−0.608	−0.004	1.739	0.249	−6225.000
	BA	927	−24.560	−0.261	21.140	7.315	−2802.682
	Rootnum_bin	927	−0.779	0.107	0.602	0.258	241.121
	Rootnum	927	−2.422	0.321	4.368	0.960	299.065
	Rust_bin	927	−0.482	−0.014	0.822	0.399	−2850.000
	Rust_gall_vol	927	−1.175	−0.022	5.212	1.132	−5145.454
	Stiffness	927	−3.244	0.095	6.082	1.225	1289.474
	Lignin	927	−3.644	0.050	4.073	1.200	2400.000
	LateWood	927	−4.544	0.090	4.878	1.571	1745.556
	Density	927	−10.290	−0.053	17.610	2.498	−4713.208
	C5C6	927	−8.102	−0.049	9.057	2.649	−5406.122

^aMY, milk yield; MFP, milk fat percentage; SCS, somatic cell score; HT, total stem height; HTLC, total height to the base of the live crown; BHLC, basal height of the live crown; DBH, traits stem diameter; CWAL, crown width along the planting beds; CWAC, crown width across the planting beds; BD, average branch diameter; BA, branch angle average; Rootnum_bin, presence or absence of roots; Rootnum, Root number; Rust_bin, presence or absence of rust; Rust_gall_vol, gall volume; lignin, lignin content; LateWood, latewood percentage; Density, wood specific gravity; C5C6, C5C6 content. In the dairy cattle population, phenotypes were rescaled to standard normal distributions

ISSN: 2730-6844