Skip to main content

Table 3 Variance components (standard error) estimated using pedigree and phenotypic data

From: Predictive performance of genomic selection methods for carcass traits in Hanwoo beef cattle: impacts of the genetic architecture

Trait (unit)

\(\sigma_{a}^{2}\)

\(\sigma_{e}^{2}\)

\(\sigma_{p}^{2}\)

\(h^{2}\)

BT (mm)

5.57 (0.62)

5.75 (0.49)

11.32 (0.26)

0.49 (0.05)

CW (kg)

315.28 (46.76)

699.95 (40.51)

1015.23 (22.26)

0.31 (0.04)

EMA (cm2)

26.75 (3.27)

35.33 (2.67)

62.08 (1.42)

0.43 (0.05)

lnMS (Score)

0.08 (0.01)

0.05 (0.008)

0.13 (0.004)

0.61 (0.06)

  1. BT backfat thickness, CW carcass weight, EMA eye muscle area, MS marbling score
  2. \(\sigma_{a}^{2} ,\sigma_{e}^{2} , \sigma_{p}^{2} , h^{2}\): additive genetic variance, error variance, phenotypic variance and heritability, respectively
Back to article page

Genetics Selection Evolution

ISSN: 1297-9686