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Opportunities and limitations of milk mid-infrared spectra-based estimation of acetone and β-hydroxybutyrate for the prediction of metabolic stress and ketosis in dairy cows

Published online by Cambridge University Press:  20 April 2020

Monica O. Caldeira
Affiliation:
Veterinary Physiology, Vetsuisse Faculty University of Bern, Switzerland
Denisa Dan
Affiliation:
Veterinary Physiology, Vetsuisse Faculty University of Bern, Switzerland
Anna-Lena Neuheuser
Affiliation:
Veterinary Physiology, Vetsuisse Faculty University of Bern, Switzerland
Remo Stürmlin
Affiliation:
Veterinary Physiology, Vetsuisse Faculty University of Bern, Switzerland
Christoph Weber
Affiliation:
Veterinary Physiology, Vetsuisse Faculty University of Bern, Switzerland
Daniel L. Glauser
Affiliation:
Suisselab AG, Zollikofen, Switzerland
Martin Stierli
Affiliation:
Suisselab AG, Zollikofen, Switzerland
Urs Schuler
Affiliation:
Qualitas AG, Zug, Switzerland
Juerg Moll
Affiliation:
Qualitas AG, Zug, Switzerland
Silvia Wegmann
Affiliation:
Qualitas AG, Zug, Switzerland
Rupert M. Bruckmaier
Affiliation:
Veterinary Physiology, Vetsuisse Faculty University of Bern, Switzerland
Josef J. Gross*
Affiliation:
Veterinary Physiology, Vetsuisse Faculty University of Bern, Switzerland
*
Author for correspondence: Josef J. Gross, Email: [email protected]

Abstract

Subclinical (SCK) and clinical (CK) ketosis are metabolic disorders responsible for big losses in dairy production. Although Fourier-transform mid-infrared spectrometry (FTIR) to predict ketosis in cows exposed to great metabolic stress was studied extensively, little is known about its suitability in predicting hyperketonemia using individual samples, e.g. in small dairy herds or when only few animals are at risk of ketosis. The objective of the present research was to determine the applicability of milk metabolites predicted by FTIR spectrometry in the individual screening for ketosis. In experiment 1, blood and milk samples were taken every two weeks after calving from Holstein (n = 80), Brown Swiss (n = 72) and Swiss Fleckvieh (n = 58) cows. In experiment 2, cows diagnosed with CK (n = 474) and 420 samples with blood β-hydroxybutyrate [BHB] <1.0 mmol/l were used to investigate if CK could be detected by FTIR-predicted BHB and acetone from a preceding milk control. In experiment 3, correlations between data from an in farm automatic milk analyser and FTIR-predicted BHB and acetone from the monthly milk controls were evaluated. Hyperketonemia occurred in majority during the first eight weeks of lactation. Correlations between blood BHB and FTIR-predicted BHB and acetone were low (r = 0.37 and 0.12, respectively, P < 0.0001), as well as the percentage of true positive values (11.9 and 16.6%, respectively). No association of FTIR predicted ketone bodies with the interval of milk sampling relative to CK diagnosis was found. Data obtained from the automatic milk analyser were moderately correlated with the same day FTIR-predicted BHB analysis (r = 0.61). In conclusion, the low correlations with blood BHB and the small number of true positive samples discourage the use of milk mid-infrared spectrometry analyses as the only method to predict hyperketonemia at the individual cow level.

Type
Research Article
Copyright
Copyright © Hannah Dairy Research Foundation 2020

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