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Table 2 Estimates of variance components and genetic parameters of body weight and its uniformity based on the sire-dam double hierarchical generalized linear model when using pedigree (\({\mathbf{A}}\)) or combined pedigree and genomic relationships (\({\mathbf{H}}\)) and standard or log-transformed phenotypes

From: Estimation of breeding values for uniformity of growth in Atlantic salmon (Salmo salar) using pedigree relationships or single-step genomic evaluation

Trait/parameter

Standardization

Logarithm

\({\mathbf{A}}\)

\({\mathbf{H}}\)

\({\mathbf{A}}\)

\({\mathbf{H}}\)

Body weight

 \(\sigma_{P}^{2}\)

0.843

0.856

0.131

0.132

 \(\sigma_{a}^{2}\)

0.216

0.243

0.043

0.046

 \(\sigma_{c}^{2}\)

0.095

0.091

0.013

0.014

 h 2

0.2660.095

0.2960.102

0.3250.102

0.3460.107

 c 2

0.1170.037

0.1110.037

0.1030.038

0.1030.038

Uniformity of body weight

 \(\sigma_{{a_{v} ,exp}}^{2}\)

0.23030.1094

0.27320.1211

0.08960.0569

0.08850.0598

 \(\sigma_{{a_{v} }}^{2}\)

0.0612

0.0677

0.0005

0.0005

 \(\sigma_{{c_{v} }}^{2}\)

0.0360

0.0306

0.0000

0.0001

 \(GCV\)

0.4800.114

0.5230.116

0.2990.095

0.2980.100

 \(h_{v}^{2}\)

0.0360.019

0.0380.020

0.0150.014

0.0140.013

 \(c_{v}^{2}\)

0.022

0.019

0.001

0.002

  1. \({\mathbf{A}}\) = pedigree based relationship matrix; \({\mathbf{H}}\) = combined genotyped and non-genotyped relationship matrix; \(\sigma_{P}^{2}\) = phenotypic variance (\(2\sigma_{u}^{2} + \sigma_{c}^{2} + \sigma_{e}^{2}\)), where \(\sigma_{e}^{2}\) is the residual variance for body weight; \(\sigma_{a}^{2}\) and \(\sigma_{{a_{v} }}^{2}\) = additive genetic variance for body weight and its uniformity, respectively; \(\sigma_{c}^{2}\) = common environmental variance; GCV = coefficient of additive genetic variance for uniformity (\(\sqrt {\sigma_{{a_{v} ,exp}}^{2} }\)); h 2 = heritability for body weight; \(c^{2}\) = common environmental effect due to full-sib tanks; \(h_{v}^{2}\) = heritability for uniformity; \(c_{v}^{2}\) = same as \(c^{2}\) but for uniformity of body weight. Superscripts are SE of the estimates