Main content

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

Show simple item record

dc.contributor.advisor Renaud, David
dc.contributor.advisor Winder, Charlotte Morrison, Jannelle 2021-05-12T15:43:33Z 2021-05-12T15:43:33Z 2021-05 2021-04-23 2021
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 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 *
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 Population Medicine en_US Master of Science en_US 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. en_US University of Guelph en_US

Files in this item

Files Size Format View Description
Morrison_Jannelle_202105_MSc.pdf 1.393Mb PDF View/Open thesis

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivatives 4.0 International Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International
The library is committed to ensuring that members of our user community with disabilities have equal access to our services and resources and that their dignity and independence is always respected. If you encounter a barrier and/or need an alternate format, please fill out our Library Print and Multimedia Alternate-Format Request Form. Contact us if you’d like to provide feedback:  (email address)