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Suitability of feeding and chewing time for estimation of feed intake in dairy cows

Published online by Cambridge University Press:  23 July 2015

C. Pahl
Affiliation:
Institute of Agricultural Engineering, Christian-Albrechts-University Kiel, 24098 Kiel, Germany
E. Hartung
Affiliation:
Institute of Agricultural Engineering, Christian-Albrechts-University Kiel, 24098 Kiel, Germany
A. Grothmann
Affiliation:
Research Station Agroscope Reckenholz-Tänikon ART, Tänikon, 8356 Ettenhausen, Switzerland
K. Mahlkow-Nerge
Affiliation:
Chamber of Agriculture Schleswig-Holstein, Futterkamp, 24327 Blekendorf, Germany
A. Haeussermann*
Affiliation:
Institute of Agricultural Engineering, Christian-Albrechts-University Kiel, 24098 Kiel, Germany
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Abstract

Monitoring of feeding and rumination behaviour can provide useful information for dairy herd management. The feeding behaviour of dairy cows can be recorded by different techniques, such as video cameras, weighing troughs or chewing sensors. Among feeding characteristics, individual feed intake of cows is of utmost interest, but as weighing troughs have high space and cost requirements they are used primarily in research studies. The objective of the present study was to evaluate whether records on feeding time or chewing activity or a combination of both contain enough information to estimate feed intake with sufficient accuracy. Feed intake and feeding time per cow were recorded by means of weighing troughs. Concurrently, chewing activity of seven cows was recorded by MSR-ART pressure sensors during five to eight measuring days per cow. Feeding and chewing behaviour were evaluated in time slots (1 min) and additionally assigned to feeding bouts for further analysis. The 1 min time slots were classified into feeding/no feeding or chewing/no chewing by the two systems, and agreement was found in 92.2% of the records. On average, cows spent 270±39 min/day at the feeding troughs and chewed 262±48 min/day. The average fresh matter intake (FMI) was 49.6±5.1 kg/day. Feed intake was divided into 9.7 bouts/day during which cows fed in average 27.8±21.7 min/bout and chewed 27.0±23.1 min/bout. The correlation between FMI and feeding time was r=0.891 and between FMI and chewing time r=0.780 overall cows. Hence, both systems delivered suitable information for estimating feed intake.

Type
Research Article
Copyright
© The Animal Consortium 2015 

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References

Albright, JL 1993. Feeding behavior of dairy cattle. Journal of Dairy Science 76, 485498.Google Scholar
Bach, A, Iglesias, C and Busto, I 2004. Technical note: a computerized system for monitoring feeding behavior and individual feed intake of dairy cattle. Journal of Dairy Science 87, 42074209.CrossRefGoogle ScholarPubMed
Bareille, N, Beaudeau, F, Billon, S, Robert, A and Faverdin, P 2003. Effects of health disorders on feed intake and milk production in dairy cows. Livestock Production Science 83, 5362.CrossRefGoogle Scholar
Chapinal, N, Veira, DM, Weary, DM and von Keyserlingk, MAG 2007. Technical note: validation of a system for monitoring individual feeding and drinking behavior and intake in group-housed cattle. Journal of Dairy Science 90, 57325736.Google Scholar
Dado, RG and Allen, MS 1994. Variation in and relationships among feeding, chewing, and drinking variables for lactating dairy cows. Journal of Dairy Science 77, 132144.Google Scholar
DeVries, TJ, von Keyserlingk, MAG, Weary, DM and Beauchemin, KA 2003. Technical note: validation of a system for monitoring feeding behavior of dairy cows. Journal of Dairy Science 86, 35713574.CrossRefGoogle ScholarPubMed
González, LA, Tolkamp, BJ, Coffey, MP, Ferret, A and Kyriazakis, I 2008. Changes in feeding behavior as possible indicators for the automatic monitoring of health disorders in dairy cows. Journal of Dairy Science 91, 10171028.CrossRefGoogle ScholarPubMed
Halachmi, I, Edan, Y, Moallem, U and Maltz, E 2004. Predicting feed intake of the individual dairy cow. Journal of Dairy Science 87, 22542267.CrossRefGoogle ScholarPubMed
Harb, MY and Campling, RC 1985. Variation among pregnant, non-lactating dairy cows in eating and ruminating behaviour, digestibility and voluntary intake of hay. Grass and Forage Science 40, 109111.CrossRefGoogle Scholar
Ingvartsen, KL and Andersen, JB 2000. Integration of metabolism and intake regulation: a review focusing on peripaturient animals. Journal of Dairy Science 83, 15731597.CrossRefGoogle Scholar
Krawczel, PD, Klaiber, LM, Thibeau, SS and Dann, HM 2012. Technical note: data loggers are a valid method for assessing the feeding behavior of dairy cows using the Calan Broadbent Feeding System. Journal of Dairy Science 95, 44524456.Google Scholar
Norring, M, Häggmann, J, Simojoki, H, Tamminen, P, Winckler, C and Pastell, M 2014. Short communication: lameness impairs feeding behavior of dairy cows. Journal of Dairy Science 97, 43174321.CrossRefGoogle ScholarPubMed
Nydegger, F, Gygax, L and Egli, W 2010. Automatic measurement of rumination and feeding activity using a pressure sensor. In Proceedings of International Conference on Agricultural Engineering CIGR-AgEng, 6–8 September, Clemont-Ferrand, France.Google Scholar