Genomic prediction from observed and imputed high-density ovine genotypes

Table 6 Accuracy of genomic prediction of wool traits in Merino sheep based on GBLUP (50k/HD) and BayesR

Trait	Size	GBLUP-50k	GBLUP-HD	BayesR
Y-GFW	4662	0.68 (0.03)^a	0.69 (0.03)	0.67 (0.03)
Y-CFW	4423	0.62 (0.03)	0.63 (0.03)	0.63 (0.03)
Y-FD	3969	0.69 (0.03)	0.75 (0.03)	0.72 (0.03)
Y-FDCV	3554	0.46 (0.04)	0.47 (0.04)	0.47 (0.04)
Y-SL	3554	0.56 (0.03)	0.62 (0.03)	0.63 (0.03)
Y-SS	3554	0.33 (0.04)	0.41 (0.04)	0.43 (0.04)
A-GFW	4541	0.65 (0.03)	0.69 (0.03)	0.69 (0.03)
A-CFW	4540	0.59 (0.03)	0.63 (0.03)	0.62 (0.03)
A-FD	3001	0.61 (0.03)	0.67 (0.03)	0.74 (0.03)
A-FDCV	2436	0.32 (0.04)	0.36 (0.04)	0.36 (0.04)
A-SL	2414	0.59 (0.04)	0.67 (0.04)	0.66 (0.04)
A-SS	2413	0.40 (0.04)	0.46 (0.04)	0.45 (0.04)

^aStandard Error (SE) calculated according to: \(\left( {\frac{{1 - r^{2} }}{n - 2}} \right)^{0.5}\) where r is the correlation coefficient and n is the number of paired observations; for trait abbreviations see Table 1

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