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Table 3 Phenotypic and marker-based genetic correlations between traits within data sets

From: Application of neural networks with back-propagation to genome-enabled prediction of complex traits in Holstein-Friesian and German Fleckvieh cattle

German Fleckvieh bulls

   
 

Milk yield DYD

Protein yield DYD

Fat yield DYD

Milk yield DYD

0.87(0.04)

0.58(0.03)

0.73(0.04)

Protein yield DYD

0.70(0.01)

0.79(0.04)

0.62(0.03)

Fat yield DYD

0.89(0.01)

0.81(0.01)

0.77(0.04)

Holstein-Friesian bulls

   
 

Milk yield DYD

Protein yield DYD

Fat yield DYD

Milk yield DYD

0.67(0.05)

0.24(0.04)

0.52(0.04)

Protein yield DYD

0.43(0.02)

0.82(0.05)

0.42(0.04)

Fat yield DYD

0.86(0.01)

0.63(0.01)

0.60(0.04)

Holstein-Friesian cows

   
 

Milk yield YD

Protein yield YD

Fat yield YD

Milk yield YD

0.61(0.08)

0.24(0.06)

0.51(0.08)

Protein yield YD

0.48(0.03)

0.67(0.08)

0.31(0.07)

Fat yield YD

0.92(0.01)

0.60(0.02)

0.51(0.08)

  1. On diagonal of singular panels the marker-based heritability is shown, on the upper off-diagonal the marker-based genetic correlation and on the lower off-diagonal the phenotypic correlation are presented, Standard errors (SE) are shown in brackets, DYD = Daughter yield deviation, YD = Yield deviation.
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Genetics Selection Evolution

ISSN: 1297-9686