Literature DB >> 31311628

Additive Bayesian Network analysis of associations between antimicrobial consumption, biosecurity, vaccination and productivity in Danish sow herds.

Ricardo Lopes1, Amanda Brinch Kruse2, Liza Rosenbaum Nielsen2, Telmo Pina Nunes1, Lis Alban3.   

Abstract

In modern livestock farming, there is an increasing understanding that antimicrobial (AM) consumption must be kept low - preferably without compromising animal welfare or productivity. This requires an understanding of the relationship between AM use, productivity, biosecurity, vaccination and herd demographics. To obtain this, we undertook an Additive Bayesian Network analysis using data from 2014 to 2015, covering 157 Danish sow herds with weaners. In general, productivity and biosecurity were high, and AM consumption low. No association was found between prescribed AM and productivity. Other variables, such as biosecurity and enrolment in the Danish Specific Pathogen Free (SPF) system, had stronger associations with sow productivity than AM consumption. In the weaner unit, an association between AM consumption and certain vaccination practices was found, suggesting that vaccines might be used to control preexisting problems. The results reveal that most Danish sow producers are able to maintain productivity while using low amounts of AMs. This conclusion must be interpreted within the context of Danish pig farming i.e. generally high biosecurity and many years of official restrictions aiming at reducing AM consumption.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Additive Bayesian Networks; Antimicrobials; Biosecurity; Productivity; Vaccination

Mesh:

Substances:

Year:  2019        PMID: 31311628     DOI: 10.1016/j.prevetmed.2019.104702

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  1 in total

1.  Utilization and reproductive performance of gilts in large-scale pig farming system with different production levels in China: a descriptive study.

Authors:  Ran Guan; Wenchao Gao; Peng Li; Xuwei Qiao; Jing Ren; Jian Song; Xiaowen Li
Journal:  Porcine Health Manag       Date:  2021-12-13
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.