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Table 4 Accuracy and bias of EBV from the GLMM for the default scenario

From: Towards genetic improvement of social behaviours in livestock using large-scale sensor data: data simulation and genetic analysis

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

 

\({r}_{A}\)

− 0.5

0

0.5

0.05

Accuracy

0.455 (± 0.009)

0.471 (± 0.009)

0.448 (± 0.008)

Bias

0.875 (± 0.023)

0.847 (± 0.027)

0.881 (± 0.016)

0.1

Accuracy

0.571 (± 0.008)

0.595 (± 0.011)

0.563 (± 0.015)

Bias

0.917 (± 0.019)

0.911 (± 0.022)

0.896 (± 0.018)

0.2

Accuracy

0.668 (± 0.012)

0.713 (± 0.017)

0.659 (± 0.010)

Bias

0.936 (± 0.030)

0.925 (± 0.019)

0.928 (± 0.021)

  1. Standard errors are in brackets. For the bias, regression coefficients of true total breeding values on estimated total BV are shown, so that values smaller than 1 indicate overestimation of breeding values. \({h}_{o}^{2}\) is the observed-scale heritability of the mean of 2500 binary observations with on average 25 successes, based on a linear mixed model
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Genetics Selection Evolution

ISSN: 1297-9686