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Table 2 Estimates of variance components for fillet yield and body weight

From: Genomic selection models substantially improve the accuracy of genetic merit predictions for fillet yield and body weight in rainbow trout using a multi-trait model and multi-generation progeny testing

 

Fillet yield (SE)

Body weight (SE)

\({\upsigma }_{\mathrm{u}}^{2}\)

1.99 (0.42)

17,648 (2526)

\({\upsigma }_{\mathrm{f}}^{2}\)

0.24 (0.12)

5,679 (733)

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

2.60 (0.23)

29,913 (1319)

\({\upsigma }_{\mathrm{p}}^{2}\)

4.82 (0.18)

53,239 (1187)

\({\mathrm{h}}^{2}\)

0.41 (0.07)

0.33 (0.04)

\({\mathrm{f}}^{2}\)

0.05 (0.03)

0.11 (0.01)

rg

0.24 (0.14)

  1. \({\upsigma }_{\mathrm{u}}^{2}\): additive genetic variance; \({\upsigma }_{\mathrm{f}}^{2}\): variance of the family effect; \({\upsigma }_{\mathrm{e}}^{2}\): residual variance; \({\upsigma }_{\mathrm{p}}^{2}\): phenotypic variance; \({\mathrm{h}}^{2}\): heritability; \({\mathrm{f}}^{2}\): proportion of variance explained by the family effect; rg: genetic correlation
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Genetics Selection Evolution

ISSN: 1297-9686