Evaluation of applying statistical process control techniques to daily average feeding behaviors to detect disease in automatically fed group-housed preweaned dairy calves

Journal of Dairy Science
W A KnauerR E James

Abstract

Group housing and computerized feeding of preweaned dairy calves are gaining in popularity among dairy producers, yet disease detection remains a challenge for this management system. The aim of this study was to investigate the application of statistical process control charting techniques to daily average feeding behavior to predict and detect illness and to describe the diagnostic test characteristics of using this technique to find a sick calf compared with detection by calf personnel. This prospective cross-sectional study was conducted on 10 farms in Minnesota (n = 4) and Virginia (n = 6) utilizing group housing and computerized feeding from February until October 2014. Calves were enrolled upon entrance to the group pen. Calf personnel recorded morbidity and mortality events. Farms were visited either every week (MN) or every other week (VA) to collect calf enrollment data, computer-derived feeding behavior data, and calf personnel-recorded calf morbidity and mortality. Standardized self-starting cumulative sum (CUSUM) charts were generated for each calf for each daily average feeding behavior, including drinking speed (mL/min), milk consumption (L/d), and visits to the feeder without a milk meal (no.). A testing subset ...Continue Reading

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Citations

Sep 16, 2019·Journal of Dairy Science·M A BelaidS Calsamiglia
Jul 28, 2020·Journal of Dairy Science·Joao H C CostaHeather W Neave
Mar 21, 2021·Journal of Dairy Science·Jannelle MorrisonCharlotte B Winder
May 13, 2021·Proceedings. Biological Sciences·Joanna Stachowicz, Christina Umstätter
Dec 14, 2021·Frontiers in Veterinary Science·Dengsheng SunKees van Reenen

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