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dc.contributor.authorWerner, Jessica
dc.contributor.authorUmstatter, Christina
dc.contributor.authorKennedy, Emer
dc.contributor.authorGrant, Jim
dc.contributor.authorLeso, Lorenzo
dc.contributor.authorGeoghegan, Anne
dc.contributor.authorShalloo, Laurence
dc.contributor.authorSchick, Matthias
dc.contributor.authorO'Brien, Bernadette
dc.identifier.citationWerner, J., Umstatter, C., Kennedy, E., Grant, J., Leso, L., Geoghegan, A., Shalloo, L., Schick, M. and O'Brien, B. (2019). Identification of possible cow grazing behaviour indicators for restricted grass availability in a pasture-based spring calving dairy system. Livestock Science, 220, 74-82. DOI:
dc.description.abstractPrecision livestock farming uses biosensors to measure different parameters of individual animals to support farmers in the decision making process. Although sensor development is advanced, there is still little implementation of sensor-based solutions on commercial farms. Especially on pasture-based dairy systems, the grazing management of cows is largely not supported by technology. A key factor in pasture-based milk production is the correct grass allocation to maximize the grass utilization per cow, while optimizing cow performance. Currently, grass allocation is mostly based on subjective eye measurements or calculations per herd. The aim of this study was to identify possible indicators of insufficient or sufficient grass allocation in the cow grazing behaviour measures. A total number of 30 cows were allocated a restricted pasture allowance of 60% of their intake capacity. Their behavioural characteristics were compared to those of 10 cows (control group) with pasture allowance of 100% of their intake capacity. Grazing behaviour and activity of cows were measured using the RumiWatchSystem for a complete experimental period of 10 weeks. The results demonstrated that the parameter of bite frequency was significantly different between the restricted and the control groups. There were also consistent differences observed between the groups for rumination time per day, rumination chews per bolus and frequency of cows standing or lying.en_US
dc.relation.ispartofseriesLivestock Science;Vol. 220
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.subjectGrass allocationen_US
dc.subjectGrazing managementen_US
dc.subjectDecision support toolen_US
dc.subjectSensor technologyen_US
dc.subjectGrazing bitesen_US
dc.titleIdentification of possible cow grazing behaviour indicators for restricted grass availability in a pasture-based spring calving dairy systemen_US
dc.contributor.sponsorScience Foundation Irelanden_US
dc.contributor.sponsorTeagasc Walsh Fellowship Programmeen_US

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  • Livestock Systems [237]
    Teagasc LIvestock Systems Department includes Dairy, Cattle and Sheep research.

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Attribution-NonCommercial-ShareAlike 3.0 United States
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