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Table 2 Single-trait model 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 (0.004)

0.03 (0.004)

0.04 (0.006)

0.05 (0.007)

0.02 (0.006)

0.02 (0.006)

0.04 (0.01)

0.02 (0.008)

\({\sigma _{h}^{2}}\)

0.49 (0.03)

0.46 (0.03)

0.49 (0.02)

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 (0.006)

1.0 (0.007)

1.0 (0.006)

1.0 (0.007)

1.0 (0.01)

1.0 (0.01)

1.0 (0.01)

1.0 (0.01)

h 2

0.10 (0.01)

0.12 (0.01)

0.10 (0.02)

0.12 (0.02)

0.05 (0.02)

0.05 (0.02)

0.11 (0.03)

0.06 (0.02)

 

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)

0.04 (0.004)

0.07 (0.006)

0.07 (0.006)

0.05 (0.008)

0.05 (0.008)

0.10 (0.02)

0.10 (0.02)

\({\sigma _{h}^{2}}\)

0.53 (0.02)

0.53 (0.02)

0.53 (0.02)

0.52 (0.02)

0.52 (0.02)

0.50 (0.03)

0.52 (0.02)

0.50 (0.03)

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

1.64 (0.008)

1.64 (0.008)

1.63 (0.008)

1.60 (0.008)

1.62 (0.01)

1.62 (0.02)

1.62 (0.01)

1.62 (0.02)

h 2

0.08 (0.01)

0.08 (0.01)

0.13 (0.01)

0.13 (0.01)

0.08 (0.01)

0.08 (0.01)

0.18 (0.03)

0.18 (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.