Cited by 54Ruminant Nutrition and Digestive PhysiologyEffects of Environmental Stressors on LivestockAnimal Behavior and Welfare Studies

Energy expenditure of grazing cows and cows fed grass indoors as determined by the 13C bicarbonate dilution technique using an automatic blood sampling system

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Kaufmann, L.D., Münger, A., Rérat, M., Junghans, P., Görs, S., Metges, C.C., Dohme-Meier, F.·2011·Journal of Dairy Science

Abstract

The objectives of the study were to assess the 13C bicarbonate dilution technique using an automatic blood sampling system and to use this technique to estimate energy expenditure (EE) based on the CO2 production of 14 lactating Holstein cows on pasture or in a freestall barn. The effects of physical activity and eating behavior on EE were also assessed. Cows were exposed to each feeding system in a crossover design with two 14-d experimental periods, each consisting of an adaptation period and a 7-d data collection period. Cows either grazed on pasture or had ad libitum access, in the freestall barn, to grass cut daily from the same paddock. All cows were supplemented with a cereal-based concentrate. The EE of each cow was determined from 0700 to 1300 h on 1 d of each collection period. Blood samples for the 13C bicarbonate dilution technique were taken either manually in the barn or using an automatic blood sampling system on pasture. Eating pattern and physical activity were recorded from 0700 to 1300 h using a behavior recorder and an activity meter, respectively. Milk yield was recorded daily. Individual feed intake was estimated using the alkane double-indicator technique. Two preceding experiments confirmed that the sampling technique (manual or automatic) and the following storage of the blood samples (frozen directly after withdrawal or first cooled on ice and then frozen 6 h later) had no effect on 13CO2 enrichment in the extracted blood CO2 or on the subsequent calculation of CO2 production. During the 6-h measurement period, the EE of cows on pasture was higher than that of cows in the freestall barn. Daily feed intake and milk production were not affected by the feeding treatment. Grazing cows spent more time walking and less time standing and lying than did cows fed indoors. Time spent eating was greater and time spent ruminating was lower for cows on pasture compared with grass-fed cows in the barn. In conclusion, the 13C bicarbonate dilution technique, combined with an automatic blood sampling system, is a suitable method to determine the EE of lactating dairy cows on pasture. Positive correlations between EE and walking and eating time indicate that the higher energy requirements of dairy cows on pasture may be at least partly caused by a higher level of physical activity. However, before specific recommendations about additional energy supply can be given, it must be determined whether EE measured over 6 h can be extrapolated to 24 h. Furthermore, the apparent inconsistency between EE, feed intake, and milk production needs to be resolved.

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  • The differential ADG between grass-fed and grain-fed systems is primarily related to the level of energy supplied in the diet and the energy expenditure that animals suffer in both conditions.

    “The reason for the differential ADG between the grass-fed and grain-fed systems is primarily related to the level of energy supplied in the diet and the energy expenditure that animals suffer in both conditions (Kaufmann et al., 2011).”

    From Growth curve, blood parameters and carcass traits of grass-fed Angus steers (2021) · cites this paper as Kaufmann et al., 2011

    The Main Experiment reports higher energy expenditure in grazing cows, supporting the energy-expenditure component. But it compares cows grazing pasture with cows fed grass indoors, not grass-fed with grain-fed systems; energy intake and body weight did not differ between its groups, and it does not establish a cause of differential average daily gain (ADG). (LLM, conf=0.86)

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References 38 · Cited by 54

Research works printed but not linked: 5

  1. Brockway, J. M. 1978. Escape from the chamber: Alternative methods for large animal calorimetry. Proc. Nutr. Soc. 37:13-19.
  2. Brouwer, E. 1965. Report of subcommittee on constant factors. Pages 441-443 in Proceedings of the 3rd Symposium on Energy Metabo- lism. K. L. Blaxter, ed. London, UK and New York, NY. 1999 ENERGY EXPENDITURE OF GRAZING COWS Journal of Dairy Science Vol. 94 No. 4, 2011 Figure
  3. Flatt, W. P., D. R. Waldo, J. F. Sykes, and L. A. Moore. 1958. A proposed method of indirect calorimetry for energy metabolism studies with large animals under field conditions. Pages 101-109 in Proceedings of the First Symposium on Energy Metabolism. Eu- ropean Association for Animal Production Publication. G. Thor- bek and H. Aersoe, ed. Statens Husdyrbrugsudvalag, Copenhagen, Denmark.
  4. Naumann, K., and R. Bassler. 2007. Die chemische Untersuchung von Futtermitteln. Methodenbuch Vol. 3. VDLUFA-Verlag, Darm- stadt, Germany.
  5. Tyrrell, H. F., P. W. Moe, and W. P. Flatt. 1970. Influence of excess protein intake on energy metabolism of the dairy cow. Pages 69-72 in Proc. 5th Sympos. Energy Metab. Farm Anim. EAAP Publi- cation No.

Authors
Kaufmann, L. D., Münger, A., Rérat, M., Junghans, P., Görs, S., Metges, C. C., & Dohme-Meier, F.
Affiliations
  • Agroscope (CH)
  • Research Institute for Farm Animal Biology (FBN) (DE)
Venue
Journal of Dairy Science
Published
2011-04
Volume
94
Issue
4
Pages
1989-2000
ISSN
0022-0302 (ISSN-L)
OpenAlex
W2047423148
Cited by
54
References
38
Citations by year
2026: 1 · 2025: 6 · 2024: 3 · 2023: 2 · 2022: 6 · 2021: 5 · 2020: 3 · 2019: 6 · 2018: 4 · 2017: 2 · 2016: 2 · 2015: 5 · 2014: 6 · 2013: 3
FWCI
5.55
Type
journal article
Language
en
Open access
Locations
  • Journal of Dairy Science (publishedVersion)
  • PubMed (publishedVersion)
Funders
Arbeitsgemeinschaft Schweizerischer Rinderzüchter
Topics
  • Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Ruminant Nutrition and Digestive Physiology
  • Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Effects of Environmental Stressors on Livestock
  • Health Sciences › Veterinary › Small Animals › Animal Behavior and Welfare Studies
Keywords
energy expenditure, lactating dairy cows, grazing, pasture grazing, CO2 production, physical activity, dietary habits, ruminating time, walking time, energy requirements, Holstein cows, milk yield, feed intake, concentrate supplementation, blood sample storage, behavior recording, activity meter
MeSH terms
Animals, Animal Nutritional Physiological Phenomena, Automation, Blood Specimen Collection, Carbon Dioxide, Cattle, Dairying, Energy Metabolism, Feeding Behavior, Feeding Methods, Female, Poaceae, Lactation, Motor Activity, Cross-Over Studies

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