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dc.creatorKostoulas P., Angelidou E., Leontides L.en
dc.date.accessioned2023-01-31T08:44:35Z
dc.date.available2023-01-31T08:44:35Z
dc.date.issued2015
dc.identifier.issn16130073
dc.identifier.urihttp://hdl.handle.net/11615/75179
dc.description.abstractWe assessed the benefits of vaccination against Mycobacterium avium subsp. paratuberculosis (MAP) on the average daily milk yield (DMY) of sheep and goat flocks. A stochastic simulation model was used to estimate the DMY pre and post vaccination of the flock replacements. The average DMY increased steadily for the first ten years post vaccination and then reached a plateau. Medians for the DMY were significantly higher post vaccination. The expected difference between the prevalence of MAP infection between and after the initiation of the vaccination program was the most influential factor for the DMY benefits. Vaccination of replacements in a MAP infected flock is expected to improve the overall milk productivity in the long term. © 2015 for this paper by its authors.en
dc.language.isoenen
dc.sourceCEUR Workshop Proceedingsen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84955496342&partnerID=40&md5=10d80b5fc16baab304e3f7b326c2e109
dc.subjectAgricultureen
dc.subjectDairy productsen
dc.subjectStochastic systemsen
dc.subjectVaccinesen
dc.subjectDairy sheepen
dc.subjectInfluential factorsen
dc.subjectMilken
dc.subjectMycobacterium avium subsp. paratuberculosisen
dc.subjectParatuberculosisen
dc.subjectStochastic simulation modelen
dc.subjectStochastic simulationsen
dc.subjectVaccinationen
dc.subjectStochastic modelsen
dc.subjectCEUR-WSen
dc.titleA stochastic simulation model for the efficacy of vaccination against Mycobacterium avium subsp. paratuberculosis in dairy sheep and goatsen
dc.typeconferenceItemen


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