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