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Table 1 Parameter estimates obtained using the animal model (AM) and the reaction norm animal model (RNAM)

From: Detection of unrecorded environmental challenges in high-frequency recorded traits, and genetic determinism of resilience to challenge, with an application on feed intake in lambs

Parameter

Model

AM

RNAM

\({\sigma }_{a0}^{2}\)

0.014

0.016

\({\sigma }_{a1}^{2}\)

–

0.038

\({\sigma }_{{a}0,{a}1}\)

–

− 0.011

\({\sigma }_{{pe0}}^{2}\)

0.028

0.034

\({\sigma }_{{pe1}}^{2}\)

–

0.104

\({\sigma }_{{pe0},{pe1}}\)

–

− 0.031

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

0.123

0.120

Genetic correlation

–

− 0.460 ± 0.210

  1. \({\sigma }_{a0}^{2}=\) additive genetic variance for level, \({\sigma }_{a1}^{2}=\) additive genetic variance for slope, \({\sigma }_{{a0},{a1} }=\) additive genetic covariance between level and slope, \({\sigma }_{{pe0}}^{2}=\) permanent environmental variance for level, \({\sigma }_{{pe1}}^{2}=\) permanent environmental variance for slope, \({\sigma }_{{pe0},{pe1} }=\) permanent environmental covariance between level and slope, \({\sigma }_{\mathrm{e}}^{2}=\) residual variance
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Genetics Selection Evolution

ISSN: 1297-9686