Front. Genet. Frontiers in Genetics Front. Genet. 1664-8021 Frontiers Media S.A. 10.3389/fgene.2020.628196 Genetics Erratum Erratum: Infrared Spectrometry as a High-Throughput Phenotyping Technology to Predict Complex Traits in Livestock Systems Frontiers Production Office * Frontiers Media SA, Lausanne, Switzerland

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 *Correspondence: Frontiers Production Office production.office@frontiersin.org

This article was submitted to Livestock Genomics, a section of the journal Frontiers in Genetics

 07 12 2020 2020 11 628196 11 11 2020 11 11 2020 Copyright © 2020 Frontiers Production Office. 2020 Frontiers Production Office

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 An Erratum on Infrared Spectrometry as a High-Throughput Phenotyping Technology to Predict Complex Traits in Livestock Systems by Bresolin, T., and Dórea, J. R. R. (2020). Front. Genet. 11:923. doi: 10.3389/fgene.2020.00923 beef cattle dairy cattle near-infrared novel phenotypes mid-infrared spectral information

Due to a production error, an incorrect reference citation “Vanlierde et al. (2016)” was inserted in Table 5. It should be “Visentin et al. (2016).” The corrected Table 5 appears below.

Number of samples (N) and coefficient of determination in the validation set for mineral contents using partial least square methodology.

References N Breed Validation* Ca K Mg Na P
Soyeurt et al. (2009) 92 Multibreed LOOCV 0.87 0.36 0.65 0.65 0.85
Gottardo et al. (2015) 208 – 10-F CVb 0.55 – – – –
Toffanin et al. (2015) 208 Holstein LOOCV 0.53c – – – 0.70c
Bonfatti et al. (2016) 689 Simental 10-F CV 0.48 0.41 0.46 – 0.43
Visentin et al. (2016) 923 Multibreed R-Tr/Teb 0.67 0.69 0.65 0.40 0.68
Malacarne et al. (2018)a 153 Holstein Tr/Teb 0.25 0.34 0.26 0.25 0.53
Franzoi et al. (2019)b 93 Holstein CV 0.79 0.55 0.68 0.75 0.87
Fleming et al. (2019) 986 Multibreed 10- FCV 0.25 – – – –

Bulk milk samples.

Backward interval partial least squares (BiPLS), number of folds (n-F) in the cross-validation, leave-one-out cross-validation (LOOCV), train and test cross-validation defined by splitting the data set randomly (R-Tr/Te), external or independent validation.

Correlation coefficient (r) transformed to coefficient of determination (R2).

The validation strategy defined as “CV” was assigned for the reviewed paper that did not completely describe the validation method adopted or the authors defined that cross-validation was employed.

The publisher apologizes for this mistake. The original article has been updated.

References Visentin G. Penasa M. Gottardo P. Cassandro M. De Marchi M. (2016). Predictive ability of mid-infrared spectroscopy for major mineral com-position and coagulation traits of bovine milk by using the uninformative variable selection algorithm. J. Dairy Sci. 99, 8137–8145. 10.3168/jds.2016-11053