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Genetics, Selection, Evolution : GSE logoLink to Genetics, Selection, Evolution : GSE
. 2021 Mar 22;53:31. doi: 10.1186/s12711-021-00623-4

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

Harly J Durbin 1, Duc Lu 2, Helen Yampara-Iquise 1, Stephen P Miller 2, Jared E Decker 1,
PMCID: PMC7983279  PMID: 33752584

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

In Durbin et al. [1], the correlation between partial and full breeding values, ρp,wv, was reported as a measure of prediction accuracy, which is not correct; the metric ρp,wv is the ratio between prediction accuracy in the partial dataset and prediction accuracy in the whole dataset. We have now calculated accuracy as follows:

acc^LR=covu^w,u^p1-F¯σ^u2,

where cov is the covariance and F¯ is the average inbreeding coefficient of the animals in the partial dataset. The equation for acc^LR is adapted from [2].

Across the 10 cross-validation iterations, the average accuracy was acc^LR = 0.547 (minimum = 0.539, maximum = 0.554).

Acknowledgements

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

Footnotes

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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. doi: 10.1186/s12711-020-00584-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 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;103:529–544. doi: 10.3168/jds.2019-16603. [DOI] [PubMed] [Google Scholar]

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