677
Views
8
CrossRef citations to date
0
Altmetric
Articles

Potential of feed additives to improve the environmental impact of European livestock farming: a multi-issue analysis

, , &
Pages 55-68 | Published online: 11 Jul 2014
 

Abstract

The purpose of this study was to conduct a comprehensive systematic review to identify feed additives, listed on Annex 1 of the European Union Register of Feed Additives, that have potential to reduce polluting emissions from livestock and to conduct a very simple meta-analysis of the collated data in order to identity the potential efficacy of these substances and agents. This study differs from the many other meta-analyses published in this general area in that it encompasses a broader range of environmental impacts and animal species within a single study than has occurred heretofore. The review identified 37 substances and agents offering benefits for 6 different potentially polluting emissions: gaseous releases of ammonia, methane, carbon dioxide, odours, and excretion of nitrogen and phosphorus for four animal groups: cattle, sheep, pigs and poultry. The meta-analysis showed that very considerable reductions in these emissions may be achievable, particularly in respect to ammonia and greenhouse gases. Estimates based on modest levels of usage in the European Union suggest that a reduction greater than 168 kt ammonia and 7100 kt methane could be achievable. However, in order to maximize these benefits regulators and the wider industry need to implement policies, processes and incentives to encourage greater uptake.

Funding

This work was funded by the EFSA as part of a wider research project (Ref. CFT/EFSA/FEED/2012/02). EFSA's financial support is gratefully acknowledged. The opinions expressed herein are those of the authors and not necessarily those of the EFSA.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.