Fatty Acid Profiles from Routine Milk Recording as a Decision Tool for Body Weight Change of Dairy Cows after Calving

Cows mobilize body reserves during early lactation, which is reflected in the milk fatty acid (FA) profile. Milk FA can be routinely predicted by Fourier-transform infrared (FTIR) spectroscopy, and be, thus, used to develop an early indicator for bodyweight change (BWC) in early lactating cows in co...

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Main Authors: Franziska Dettmann, Daniel Warner, Bart Buitenhuis, Morten Kargo, Anne Mette Hostrup Kjeldsen, Niels Henning Nielsen, Daniel M. Lefebvre, Debora E. Santschi
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Animals
Subjects:
Online Access:https://www.mdpi.com/2076-2615/10/11/1958
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author Franziska Dettmann
Daniel Warner
Bart Buitenhuis
Morten Kargo
Anne Mette Hostrup Kjeldsen
Niels Henning Nielsen
Daniel M. Lefebvre
Debora E. Santschi
author_facet Franziska Dettmann
Daniel Warner
Bart Buitenhuis
Morten Kargo
Anne Mette Hostrup Kjeldsen
Niels Henning Nielsen
Daniel M. Lefebvre
Debora E. Santschi
author_sort Franziska Dettmann
collection DOAJ
description Cows mobilize body reserves during early lactation, which is reflected in the milk fatty acid (FA) profile. Milk FA can be routinely predicted by Fourier-transform infrared (FTIR) spectroscopy, and be, thus, used to develop an early indicator for bodyweight change (BWC) in early lactating cows in commercial dairy farms. Cow records from 165 herds in Denmark between 2015 and 2017 were used with bodyweight (BW) records at each milking from floor scales in automatic milking systems. Milk FA in monthly test-day samples was predicted by FTIR. Predictions of BWC were based on a random forest model and included parity, stage of lactation, and test day milk production and components (fat, protein, and FA). Bodyweight loss was mainly explained by decreased short-chain FA (C4:0–C10:0) and increased C18:0 FA. The root mean square error (RMSE) of prediction after cross-validation was 1.79 g/kg of BW (R<sup>2</sup> of 0.94). Model evaluation with previously unseen BWC records resulted in reduced prediction performance (RMSE of 2.33 g/kg of BW; R<sup>2</sup> of 0.31). An early warning system may be implemented for cows with a large BW loss during early lactation based on milk FA profiles, but model performance should be improved, ideally by using the full FTIR milk spectra.
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spelling doaj.art-3fd869e18b204b898daae611c51d55682023-11-20T18:20:19ZengMDPI AGAnimals2076-26152020-10-011011195810.3390/ani10111958Fatty Acid Profiles from Routine Milk Recording as a Decision Tool for Body Weight Change of Dairy Cows after CalvingFranziska Dettmann0Daniel Warner1Bart Buitenhuis2Morten Kargo3Anne Mette Hostrup Kjeldsen4Niels Henning Nielsen5Daniel M. Lefebvre6Debora E. Santschi7Lactanet, Sainte-Anne-de-Bellevue, QC H9X3R4, CanadaLactanet, Sainte-Anne-de-Bellevue, QC H9X3R4, CanadaCenter for Quantitative Genetics and Genomics, Aarhus University, 8830 Tjele, DenmarkCenter for Quantitative Genetics and Genomics, Aarhus University, 8830 Tjele, DenmarkSEGES, 8200 Aarhus N, DenmarkRYK, 8200 Aarhus N, DenmarkLactanet, Sainte-Anne-de-Bellevue, QC H9X3R4, CanadaLactanet, Sainte-Anne-de-Bellevue, QC H9X3R4, CanadaCows mobilize body reserves during early lactation, which is reflected in the milk fatty acid (FA) profile. Milk FA can be routinely predicted by Fourier-transform infrared (FTIR) spectroscopy, and be, thus, used to develop an early indicator for bodyweight change (BWC) in early lactating cows in commercial dairy farms. Cow records from 165 herds in Denmark between 2015 and 2017 were used with bodyweight (BW) records at each milking from floor scales in automatic milking systems. Milk FA in monthly test-day samples was predicted by FTIR. Predictions of BWC were based on a random forest model and included parity, stage of lactation, and test day milk production and components (fat, protein, and FA). Bodyweight loss was mainly explained by decreased short-chain FA (C4:0–C10:0) and increased C18:0 FA. The root mean square error (RMSE) of prediction after cross-validation was 1.79 g/kg of BW (R<sup>2</sup> of 0.94). Model evaluation with previously unseen BWC records resulted in reduced prediction performance (RMSE of 2.33 g/kg of BW; R<sup>2</sup> of 0.31). An early warning system may be implemented for cows with a large BW loss during early lactation based on milk FA profiles, but model performance should be improved, ideally by using the full FTIR milk spectra.https://www.mdpi.com/2076-2615/10/11/1958decision supportFourier-transform infrareddairy herd improvementbodyweight lossmachine learning
spellingShingle Franziska Dettmann
Daniel Warner
Bart Buitenhuis
Morten Kargo
Anne Mette Hostrup Kjeldsen
Niels Henning Nielsen
Daniel M. Lefebvre
Debora E. Santschi
Fatty Acid Profiles from Routine Milk Recording as a Decision Tool for Body Weight Change of Dairy Cows after Calving
Animals
decision support
Fourier-transform infrared
dairy herd improvement
bodyweight loss
machine learning
title Fatty Acid Profiles from Routine Milk Recording as a Decision Tool for Body Weight Change of Dairy Cows after Calving
title_full Fatty Acid Profiles from Routine Milk Recording as a Decision Tool for Body Weight Change of Dairy Cows after Calving
title_fullStr Fatty Acid Profiles from Routine Milk Recording as a Decision Tool for Body Weight Change of Dairy Cows after Calving
title_full_unstemmed Fatty Acid Profiles from Routine Milk Recording as a Decision Tool for Body Weight Change of Dairy Cows after Calving
title_short Fatty Acid Profiles from Routine Milk Recording as a Decision Tool for Body Weight Change of Dairy Cows after Calving
title_sort fatty acid profiles from routine milk recording as a decision tool for body weight change of dairy cows after calving
topic decision support
Fourier-transform infrared
dairy herd improvement
bodyweight loss
machine learning
url https://www.mdpi.com/2076-2615/10/11/1958
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