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

dc.contributor.advisorRenaud, David
dc.contributor.advisorWinder, Charlotte
dc.contributor.authorMorrison, Jannelle
dc.date.accessioned2021-05-12T15:43:33Z
dc.date.available2021-05-12T15:43:33Z
dc.date.copyrightMay-21
dc.date.created2021-04-23
dc.date.issued2021
dc.degree.departmentDepartment of Population Medicineen_US
dc.degree.departmentCampbell Centre for the Study of Animal Welfareen_US
dc.degree.grantorUniversity of Guelphen_US
dc.degree.nameMaster of Scienceen_US
dc.degree.programmePopulation Medicineen_US
dc.description.abstractThis 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.sponsorshipFood from Thought
dc.identifier.citationMorrison, 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
dc.identifier.urihttps://hdl.handle.net/10214/25720
dc.language.isoenen_US
dc.publisherUniversity of Guelphen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectDairy calfen_US
dc.subjectgroup housingen_US
dc.subjectdiseaseen_US
dc.subjectautomated milk feederen_US
dc.subjectautomated feedersen_US
dc.subjectAMFen_US
dc.subjectcomputerized feederen_US
dc.subjectdisease detectionen_US
dc.subjectdisease predictionen_US
dc.titleUtilizing Automated Milk Feeders to Predict Morbidity and Mortality in Preweaned Dairy Calvesen_US
dc.typeThesisen_US

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