Skip to main content

Table 3 Bivariate model genetic variance component estimates (standard deviation)

From: Genomic prediction of disease occurrence using producer-recorded health data: a comparison of methods

  Mastitis
  Data without daughter restrictions Data with daughter restrictions
  Pedigree-based analysis Single-step analysis Pedigree-based analysis Single-step analysis
  Full data Training data Full data Training data Full data Training data Full data Training data
\({\sigma _{s}^{2}}\) 0.02 (0.003) 0.02 (0.004) 0.03 (0.01) 0.04 (0.01) 0.01 (0.005) 0.01 (0.005) 0.03 (0.01) 0.03 (0.01)
\({\sigma _{h}^{2}}\) 0.49 (0.02) 0.46 (0.03) 0.43 (0.03) 0.46 (0.03) 0.43 (0.03) 0.41 (0.04) 0.43 (0.03) 0.41 (0.04)
\({\sigma _{e}^{2}}\) 1.0 (0.01) 1.0 (0.01) 1.0 (0.01) 1.0 (0.01) 1.0 (0.01) 1.0 (0.01) 1.0 (0.01) 1.0 (0.01)
h 2 0.05 (0.01) 0.06 (0.01) 0.09 (0.02) 0.10 (0.02) 0.04 (0.01) 0.05 (0.01) 0.08 (0.03) 0.08 (0.03)
  Somatic Cell Score
  Pedigree-based analysis Single-step analysis Pedigree-based analysis Single-step analysis
  Full data Training data Full data Training data Full data Training data Full data Training data
\({\sigma _{s}^{2}}\) 0.04 (0.004) 0.05 (0.004) 0.11(0.02) 0.07 (0.01) 0.05 (0.01) 0.05 (0.009) 0.11(0.02) 0.11 (0.02)
\({\sigma _{h}^{2}}\) 0.34 (0.01) 0.33 (0.01) 0.34 (0.02) 0.33 (0.01) 0.34 (0.02) 0.33 (0.02) 0.34 (0.02) 0.33 (0.02)
\({\sigma _{e}^{2}}\) 1.67 (0.01) 1.63 (0.009) 1.66 (0.02) 1.63 (0.01) 1.66 (0.02) 1.65 (0.02) 1.66 (0.02) 1.65 (0.02)
h 2 0.09 (0.01) 0.09 (0.009) 0.14 (0.01) 0.14 (0.01) 0.09 (0.02) 0.10 (0.02) 0.20 (0.03) 0.20 (0.03)
  1. Estimated variance components include sire variance (σ s2), herdyear variance (σ h2), residual variance (σ e2) and heritability (h 2) for full and training datasets from pedigree-based and single-step analyses of mastitis and somatic cell score.