Hello guest
Your basket is empty
We provide two pathways to the content. Thematic (chapters that address certain themes, e.g. cultivation, regardless of crop or animal type) and Product (chapters that relate to a specific type of crop or animal). Choose the most applicable route to find the right collection for you. 
 
Can’t find what you are looking for? Contact us and let us help you build a custom-made collection. 
You are in: All categories > A-Z Chapters > U
Use the Contact form to discuss the best purchasing method for you... Start building your collection today!

Understanding and controlling Salmonella in poultry meat: the role of microbial ecology

Code: 9781835453735
Colette A. Nickodem, Steven C. Ricke and Jessica L. Hite, University of Wisconsin-Madison, USA

Chapter synopsis:

In this chapter, understanding and controlling Salmonella in poultry meat is explored. The authors suggest that studies in model systems based on bacteriophage and vaccines could in turn, more generally serve as an invaluable guide for efforts to limit Salmonella and the emergence of resistance in poultry for other interventions not discussed in this review. The chapter then identifies key areas of future research focused on integrating empirical findings with functional genomics, innovative statistical approaches (e.g., structural equation models), and mathematical modeling. This combination of tools will: (1) enable a more complete understanding for managing Salmonella and AMR in poultry while also improving bird health, immunity, and welfare and (2) provide valuable insights to uncover broad-scale patterns in other pathogens and livestock production systems.



DOI: 10.19103/AS.2024.0146.02
£25.00
Table of contents
  • 1 Introduction
  • 2 Poultry, Salmonella, and antimicrobial resistance: a brief overview
  • 3 Microbial community ecology, pathogen infectivity, and resistance
  • 4 Microbial ecology and bacteriophages
  • 5 Microbial ecology and Salmonella vaccines
  • 6 Quantitative approaches to improving Salmonella control in complex microbial environments: structural equation models
  • 7 Improving quantitative microbial risk assessments
  • 8 Conclusion
  • 9 References

Also in U