Skip to main content

ERRATUM article

Front. Genet., 07 December 2020
Sec. Livestock Genomics
Volume 11 - 2020 | https://doi.org/10.3389/fgene.2020.628196
This article is part of the Research Topic High-Throughput Phenotyping in the Genomic Improvement of Livestock View all 17 articles

Erratum: Infrared Spectrometry as a High-Throughput Phenotyping Technology to Predict Complex Traits in Livestock Systems

This article is an erratum on:

  1. Infrared Spectrometry as a High-Throughput Phenotyping Technology to Predict Complex Traits in Livestock Systems

    1. Read original article
\nFrontiers Production Office Frontiers Production Office*
  • Frontiers Media SA, Lausanne, Switzerland

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

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.

TABLE 5
www.frontiersin.org

Table 5. Number of samples (N) and coefficient of determination in the validation set for mineral contents using partial least square methodology.

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

References

Visentin, G., Penasa, M., Gottardo, P., Cassandro, M., and 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. doi: 10.3168/jds.2016-11053

CrossRef Full Text | Google Scholar

Keywords: beef cattle, dairy cattle, near-infrared, novel phenotypes, mid-infrared, spectral information

Citation: Frontiers Production Office (2020) Erratum: Infrared Spectrometry as a High-Throughput Phenotyping Technology to Predict Complex Traits in Livestock Systems. Front. Genet. 11:628196. doi: 10.3389/fgene.2020.628196

Received: 11 November 2020; Accepted: 11 November 2020;
Published: 07 December 2020.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2020 Frontiers Production Office. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.