Due to a production error, an incorrect reference citation “Vanlierde et al. (2016)” was inserted in Table 5. It should be “Visentin et al. ().” The corrected Table 5 appears below.
Table 5
| 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. () | 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 | – | – | – | – |
Number of samples (N) and coefficient of determination in the validation set for mineral contents using partial least square methodology.
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
1
VisentinG.PenasaM.GottardoP.CassandroM.De MarchiM. (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
Summary
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
Volume
11 - 2020
Updates
Copyright
© 2020 Frontiers Production Office.
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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
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