Alban, Lis

Kruse, Amanda Brinch

Lopes, Ricardo

Nielsen, Liza Rosenbaum

Nunes, Telmo Pina

English

Copenhagen University Research Information System

u n i ve r s i t y  o f  co pe n h ag e n  Københavns UniversitetAssociation between antimicrobial prescriptions, production and biosecurity in sowsusing Additive Bayesian NetworksLopes, Ricardo; Kruse, Amanda Brinch; Nielsen, Liza Rosenbaum; Nunes, Telmo Pina;Alban, LisPublication date:2017Document versionPeer reviewed versionDocument license:OtherCitation for published version (APA):Lopes, R., Kruse, A. B., Nielsen, L. R., Nunes, T. P., & Alban, L. (2017). Association between antimicrobialprescriptions, production and biosecurity in sows using Additive Bayesian Networks. Poster session presented atSVEPM2017: The Annual Meeting of the Society for Veterinary Epidemiology and Preventive Medicine ,Inverness, United Kingdom.Download date: 03. Feb. 2020With the threat of antimicrobial (AM) resistance, there is a need to cut down AM usage. However, farmers need reasonable alternativesTo assess possible associations between biosecurity, AM use and productivity to identify best practices for low AM use and high productivityLEGEND:Variable nameMedian (95% confidence interval)= AssociationHerd size variable Production variableSPF biosecurity system Biocheck scorePiglets per litter15.7 (14.6 – 16.9)Mortality until weaning13.2% (8.8 Weaned pigs/litter13.6 (12.5 – 14.7)Variables with no association:• AM prescription for sows• AM prescription for weaners• Internal Biosecurity score• Stillborn piglets per litterFarrowing percentage88% (78.3 – 92%)• Feed use for sows• SPF class Red/BlueNon-successful insemin.5% (2 – 12%)Mortality in sows9.5% (1 – 16%)Data came from 157 Danish sows herds.To better understand interdependencies between investigated factors, Additive Bayesian Network (ABN) modelling was used: a technique that produces a directed acyclic graph, allowing easy analysis of the network of interdependenciesContrary to results by Postma et al. 2016, our model showed no association between AM consumption and productivity, nor with biosecurity. This is probably due to a very low AM consumption in Danish sow herds and high biosecurity, because of a fine tuned system and strict regulations in place– 17.1%)Belongs/Does not belong to SPF systemLitters/sow/year2.28 (2.13 – 2.38)External biosecurity87 (72 – 93)Number of sows600 (200 – 1194)

Association between antimicrobial prescriptions, production and biosecurity in sows using Additive Bayesian Networks

https://curis.ku.dk/ws/files/178851657/Lopes_Ricardo_SVEPM_2017_poster.pdf

Association between antimicrobial prescriptions, production and biosecurity in sows using Additive Bayesian Networks

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