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Correction to: Development of a genetic evaluation for hair shedding in American Angus cattle to improve thermotolerance

The Original Article was published on 21 October 2020

Correction: Genet Sel Evol (2020) 52: 63 https://doi.org/10.1186/s12711-020-00584-0

In Durbin et al. [1], the correlation between partial and full breeding values, \( \rho_{p,w}^{v} \), was reported as a measure of prediction accuracy, which is not correct; the metric \( \rho_{p,w}^{v} \) is the ratio between prediction accuracy in the partial dataset and prediction accuracy in the whole dataset. We have now calculated accuracy as follows:

$$ \widehat{acc}_{LR} = \sqrt {\frac{{cov\left( {\hat{u}_{w} ,\hat{u}_{p} } \right)}}{{\left( {1 - \bar{F}} \right)\hat{\sigma }_{u}^{2} }}} , $$

where \( cov \) is the covariance and \( \bar{F} \) is the average inbreeding coefficient of the animals in the partial dataset. The equation for \( \widehat{acc}_{LR} \) is adapted from [2].

Across the 10 cross-validation iterations, the average accuracy was \( \widehat{acc}_{LR} \) = 0.547 (minimum = 0.539, maximum = 0.554).

References

  1. Durbin HJ, Lu D, Yampara-Iquise H, Miller SP, Decker JE. Development of a genetic evaluation for hair shedding in American Angus cattle to improve thermotolerance. Genet Sel Evol. 2020;52:63. https://doi.org/10.1186/s12711-020-00584-0.

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  2. Macedo FL, Reverter A, Legarra A. Behavior of the linear regression method to estimate bias and accuracies with correct and incorrect genetic evaluation models. J Dairy Sci. 2020;103:529–44.

    Article  CAS  Google Scholar 

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Acknowledgements

We appreciate Daniela A.L. Lourenco and Ignacy Misztal for helping us identify and correct this error.

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Correspondence to Jared E. Decker.

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Durbin, H.J., Lu, D., Yampara-Iquise, H. et al. Correction to: Development of a genetic evaluation for hair shedding in American Angus cattle to improve thermotolerance. Genet Sel Evol 53, 31 (2021). https://doi.org/10.1186/s12711-021-00623-4

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  • DOI: https://doi.org/10.1186/s12711-021-00623-4