Short communication: Identifying key parameters for modelling the impacts of livestock health conditions on greenhouse gas emissions

R. P. Kipling, A. Bannink, D. J. Bartley, I. Blanco-Penedo, P. Faverdin, A. I. Graux, N. J. Hutchings, I. Kyriazakis, M. Macleod, S. Østergaard, T. P. Robinson, A. Vitali, B. Vosough Ahmadi, Özkan*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Improved animal health can reduce greenhouse gas (GHG) emissions intensity in livestock systems while increasing productivity. Integrated modelling of disease impacts on farm-scale emissions is important in identifying effective health strategies to reduce emissions. However, it requires that modellers understand the pathways linking animal health to emissions and how these might be incorporated into models. A key barrier to meeting this need has been the lack of a framework to facilitate effective exchange of knowledge and data between animal health experts and emissions modellers. Here, these two communities engaged in workshops, online exchanges and a survey to i) identify a comprehensive list of disease-related model parameters and ii) test its application to evaluating models. Fifty-six parameters were identified and proved effective in assessing the potential of farm-scale models to characterise livestock disease impacts on GHG emissions. Easy wins for the emissions models surveyed include characterising disease impacts related to feeding.

Original languageEnglish
Article number100023
JournalAnimal
Volume15
Issue number1
Early online date17 Dec 2020
DOIs
Publication statusPublished - Jan 2021

Bibliographical note

Funding Information:
This paper was supported by the FACCE-JPI knowledge hub Modelling European Agriculture with Climate Change for Food Security (MACSUR) and the Animal Health Network of the Global Research Alliance, with support from the Research Council of Norway , and Scottish Government RESAS .

Funding Information:
The authors would like to acknowledge the contribution of two anonymous reviewers for their comments which enabled us to enhance the content and clarity of this article. The opinions expressed in this paper are those of the authors and not necessarily those of the Food and Agriculture Organization of the United Nations. This paper was supported by the FACCE-JPI knowledge hub Modelling European Agriculture with Climate Change for Food Security (MACSUR) and the Animal Health Network of the Global Research Alliance, with support from the Research Council of Norway, and Scottish Government RESAS.

Publisher Copyright:
© 2020 The Authors

Keywords

  • Agricultural modelling
  • Climate change
  • Dairy production
  • Greenhouse gas emissions
  • Livestock health

ASJC Scopus subject areas

  • Animal Science and Zoology

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