Predictive analytics and data management in beef cattle production medicine

K-REx Repository

Show simple item record

dc.contributor.author Abell, Kaitlynn M.
dc.date.accessioned 2017-04-18T19:23:41Z
dc.date.available 2017-04-18T19:23:41Z
dc.date.issued 2017-05-01 en_US
dc.identifier.uri http://hdl.handle.net/2097/35418
dc.description.abstract Utilization of data analytics allows for rapid and real-time decision making in the food animal production industry. The objective of my research was to implement and utilize different data analytic strategies in multiple sectors of the beef cattle industry in order to determine management, health, and performance strategies. A retrospective analysis using reproductive and genomic records demonstrated that a bull will sire a larger number of calves in a multiple sire-pasture compared to other bulls in the same pasture. A further study was performed to determine if behavior differences existed among bulls in a multiple-sire pasture, and the ability of accelerometers to predict breeding behaviors. Machine learning techniques used classifiers on accelerometer data to predict behavior events lying, standing, walking, and mounting. The classifiers were able to accurately predict lying and standing, but walking and mounting resulted in a lower predictable accuracy due to the extremely low prevalence of these behaviors. Finally, a new form of meta-analysis to the veterinary literature, a mixed treatment comparison, was able to accurately identify differences in metaphylactic antimicrobials on outcomes of bovine respiratory disease morbidity, mortality, and retreatment morbidity. The meta-analysis was not successful in determining the effects of metaphylactic antimicrobials on performance outcomes.
dc.description.sponsorship US Meat Animal Research Center Agriculture and Food Research Initiative Competitive Grant no. 2015-67015-23079 from the USDA National Institute of Food and Agriculture en_US
dc.language.iso en_US en_US
dc.publisher Kansas State University en
dc.subject Veterinary medicine en_US
dc.subject Predictive analytics en_US
dc.subject Data management en_US
dc.subject Beef cattle production en_US
dc.title Predictive analytics and data management in beef cattle production medicine en_US
dc.type Dissertation en_US
dc.description.degree Doctor of Philosophy en_US
dc.description.level Doctoral en_US
dc.description.department Department of Diagnostic Medicine/Pathobiology en_US
dc.description.advisor Robert L. Larson en_US
dc.description.advisor Bradley J. White en_US
dc.date.published 2017 en_US
dc.date.graduationmonth May en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search K-REx


Advanced Search

Browse

My Account

Statistics








Center for the

Advancement of Digital

Scholarship

118 Hale Library

Manhattan KS 66506


(785) 532-7444

cads@k-state.edu