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Utilizing Automated Milk Feeders to Predict Morbidity and Mortality in Preweaned Dairy Calves

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dc.contributor.advisor Renaud, David
dc.contributor.advisor Winder, Charlotte
dc.contributor.author Morrison, Jannelle
dc.date.accessioned 2021-05-12T15:43:33Z
dc.date.available 2021-05-12T15:43:33Z
dc.date.copyright 2021-05
dc.date.created 2021-04-23
dc.date.issued 2021
dc.identifier.uri https://hdl.handle.net/10214/25720
dc.description.abstract This thesis is an investigation into the possibility of using automated milk feeders to predict disease in group housed preweaned calves. A scoping review was utilized to identify and characterize the current body of literature pertaining to this topic. This review identified thirteen studies which reported milk consumption, drinking speed, unrewarded and rewarded visits all as potential predictors of disease in preweaned calves. This review highlighted the discrepancy between studies including disease definitions and incomplete reporting of studies, which made comparison between studies difficult. As a follow up, a retrospective study was used to determine how feeding behaviours measured by automated milk feeders change in calves surrounding disease detection. Milk consumption, drinking speed, and unrewarded visits were found to significantly decrease leading up to illness detection in sick calves compared to healthy control calves. These computerized systems may provide a valuable tool for producers in disease detection of preweaned calves. en_US
dc.description.sponsorship Food From Thought Grant en_US
dc.language.iso en en_US
dc.publisher University of Guelph en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject Dairy calf en_US
dc.subject group housing en_US
dc.subject disease en_US
dc.subject automated milk feeder en_US
dc.subject automated feeders en_US
dc.subject AMF en_US
dc.subject computerized feeder en_US
dc.subject disease detection en_US
dc.subject disease prediction en_US
dc.title Utilizing Automated Milk Feeders to Predict Morbidity and Mortality in Preweaned Dairy Calves en_US
dc.type Thesis en_US
dc.degree.programme Population Medicine en_US
dc.degree.name Master of Science en_US
dc.degree.department Department of Population Medicine en_US
dcterms.relation Morrison, J., Renaud, D., Churchill, K., Costa, J., Steele, M., & Winder, C. (2021). Predicting morbidity and mortality using automated milk feeders: A scoping review. Journal of Dairy Science. https://doi.org/10.3168/jds.2020-19645 en_US
dc.degree.grantor University of Guelph en_US


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Attribution-NonCommercial-NoDerivatives 4.0 International Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International