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Relationship between metabolic status and behavior in dairy cows in week 4 of lactation

Published online by Cambridge University Press:  26 July 2018

R. J. van Hoeij Open the ORCID record for R. J. van Hoeij [Opens in a new window] ,
A. Kok ,
R. M. Bruckmaier ,
M. J. Haskell ,
B. Kemp  and
A. T. M. van Knegsel Open the ORCID record for A. T. M. van Knegsel [Opens in a new window]
R. J. van Hoeij
Affiliation:
Adaptation Physiology Group, Department of Animal Sciences, Wageningen University, PO Box 338, 6700 AHWageningen, The Netherlands
A. Kok
Affiliation:
Adaptation Physiology Group, Department of Animal Sciences, Wageningen University, PO Box 338, 6700 AHWageningen, The Netherlands Animal Production Systems Group, Department of Animal Sciences, Wageningen University, PO Box 338, 6700 AHWageningen, The Netherlands
R. M. Bruckmaier
Affiliation:
Veterinary Physiology, Vetsuisse Faculty, University of Bern, Bremgartenstrasse 109a, CH-3001 Bern, Switzerland
M. J. Haskell
Affiliation:
Scotland’s Rural College (SRUC), West Mains Road, Edinburgh EH9 3JG, UK
B. Kemp
Affiliation:
Adaptation Physiology Group, Department of Animal Sciences, Wageningen University, PO Box 338, 6700 AHWageningen, The Netherlands
A. T. M. van Knegsel*
Affiliation:
Adaptation Physiology Group, Department of Animal Sciences, Wageningen University, PO Box 338, 6700 AHWageningen, The Netherlands
*
†E-mail: [email protected]
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Abstract

Blood metabolite and hormone concentrations are indicative of metabolic status, but blood sampling and analysis is invasive and time-consuming. Monitoring behavior can be done automatically, and behaviors may also be used as indicators of metabolic status. The aim of this study was to analyze the relationships between metabolic status and feeding behavior, lying behavior, motion index and steps of dairy cows in week 4 postpartum. Behavioral data from 81 Holstein-Friesian cows were collected using computerized feeders and accelerometers, and blood samples were collected for analysis of free-fatty acid (FFA), β-hydroxybutyrate (BHB), glucose, insulin, IGF-1 and growth hormone (GH) concentrations. First, cluster analysis was performed to categorize cows as having poor, average, good or very good metabolic status based on their plasma FFA, BHB, glucose, insulin, IGF-1 and GH concentration. Subsequently, the performance and behavior of cows in clusters with poor, average and good metabolic status were compared using GLM. Cows with a poor or average metabolic status tended to have greater fat-and-protein-corrected milk yield than cows with good metabolic status. Furthermore, cows with a poor metabolic status had a lower energy balance and dry matter intake (DMI) than cows with an average or good metabolic status and had a lower number of meals than cows with good metabolic status. Daily number of visits to the feeder and lying time tended to be positively related with metabolic status. Feeding rate (kg/min), daily meal time (min/day), number of lying bouts per day, steps and motion index were not related with metabolic status. In conclusion, better metabolic status in dairy cows in early lactation was associated with a greater DMI, increased feeding activity and a tendency to more time spent lying, compared with poor metabolic status. These results suggest that compromised metabolic status is reflected in altered cow’s behavior in week 4 of lactation.

Keywords

dry period lengthcontinuous milkingfeeding behaviorlactogenic hormonessensor technology
Type
Research Article
Information
animal , Volume 13 , Issue 3 , March 2019 , pp. 640 - 648
Copyright
© The Animal Consortium 2018 

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