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Table 2 Variance components (standard error in brackets) for two \({\mathbf{G}}\) matrices estimated for the carcass traits in Hanwoo cattle (n = 10,717)

From: Use of gene expression and whole-genome sequence information to improve the accuracy of genomic prediction for carcass traits in Hanwoo cattle

 

h2

\(\varvec{\sigma}_{\varvec{a}}^{2}\)

\(\varvec{\sigma}_{\varvec{e}}^{2}\)

BFT

 \({\mathbf{G}}_{1}\)

0.15 (0.02)

2.85 (0.34)

15.15 (0.29)

 \({\mathbf{G}}_{2}\)

0.07 (0.01)

1.30 (0.20)

EMA

 \({\mathbf{G}}_{1}\)

0.16 (0.02)

18.42 (2.00)

88.13 (1.66)

 \({\mathbf{G}}_{2}\)

0.05 (0.01)

5.73 (1.21)

CWT

 \({\mathbf{G}}_{1}\)

0.12 (0.02)

251.95 (34.72)

173.76 (32.08)

 \({\mathbf{G}}_{2}\)

0.08 (0.01)

177.46 (25.15)

MS

 \({\mathbf{G}}_{1}\)

0.18 (0.02)

0.43 (0.04)

1.83 (0.04)

 \({\mathbf{G}}_{2}\)

0.06 (0.01)

0.14 (0.03)

  1. h2: estimated heritability; \(\sigma_{a}^{2}\): additive genetic variance; \(\sigma_{e}^{2}\): residual variance; \({\mathbf{G}}_{1}\): adjusted \({\mathbf{G}}\) matrix with 50 k SNP array (top SNPs removed); \({\mathbf{G}}_{2}\): \({\mathbf{G}}\) matrix with the top-SNPs from the 3000 discovery dataset
  2. BFT back fat thickness, EMA eye muscle area, CWT carcass weight, MS marbling score