Modelling the links between farm characteristics, respiratory health and pig production traits

Abstract Sustainable livestock production requires links between farm characteristics, animal performance and animal health to be recognised and understood. In the pig industry, respiratory disease is prevalent, and has negative health, welfare and economic consequences. We used national-level carca...

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Main Authors: H. Gray, M. Friel, C. Goold, R. P. Smith, S. M. Williamson, L. M. Collins
Format: Article
Language:English
Published: Nature Publishing Group 2021-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-93027-9
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spelling doaj-3059bb7305eb4df6b39b268518168f9a2021-07-04T11:30:20ZengNature Publishing GroupScientific Reports2045-23222021-07-0111111310.1038/s41598-021-93027-9Modelling the links between farm characteristics, respiratory health and pig production traitsH. Gray0M. Friel1C. Goold2R. P. Smith3S. M. Williamson4L. M. Collins5School of Biology, Faculty of Biological Sciences, University of LeedsSchool of Biology, Faculty of Biological Sciences, University of LeedsSchool of Biology, Faculty of Biological Sciences, University of LeedsAnimal and Plant Health Agency (APHA)APHASchool of Biology, Faculty of Biological Sciences, University of LeedsAbstract Sustainable livestock production requires links between farm characteristics, animal performance and animal health to be recognised and understood. In the pig industry, respiratory disease is prevalent, and has negative health, welfare and economic consequences. We used national-level carcass inspection data from the Food Standards Agency to identify associations between pig respiratory disease, farm characteristics (housing type and number of source farms), and pig performance (mortality, average daily weight gain, back fat and carcass weight) from 49 all in/all out grow-to-finish farms. We took a confirmatory approach by pre-registering our hypotheses and used Bayesian multi-level modelling to quantify the uncertainty in our estimates. The study findings showed that acquiring growing pigs from multiple sources was associated with higher respiratory condition prevalence. Higher prevalence of respiratory conditions was linked with higher mortality, and lower average daily weight gain, back fat and pig carcass weight. Our results support previous literature using a range of data sources. In conclusion, we find that meat inspection data are more valuable at a finer resolution than has been previously indicated and could be a useful tool in monitoring batch-level pig health in the future.https://doi.org/10.1038/s41598-021-93027-9
collection DOAJ
language English
format Article
sources DOAJ
author H. Gray
M. Friel
C. Goold
R. P. Smith
S. M. Williamson
L. M. Collins
spellingShingle H. Gray
M. Friel
C. Goold
R. P. Smith
S. M. Williamson
L. M. Collins
Modelling the links between farm characteristics, respiratory health and pig production traits
Scientific Reports
author_facet H. Gray
M. Friel
C. Goold
R. P. Smith
S. M. Williamson
L. M. Collins
author_sort H. Gray
title Modelling the links between farm characteristics, respiratory health and pig production traits
title_short Modelling the links between farm characteristics, respiratory health and pig production traits
title_full Modelling the links between farm characteristics, respiratory health and pig production traits
title_fullStr Modelling the links between farm characteristics, respiratory health and pig production traits
title_full_unstemmed Modelling the links between farm characteristics, respiratory health and pig production traits
title_sort modelling the links between farm characteristics, respiratory health and pig production traits
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-07-01
description Abstract Sustainable livestock production requires links between farm characteristics, animal performance and animal health to be recognised and understood. In the pig industry, respiratory disease is prevalent, and has negative health, welfare and economic consequences. We used national-level carcass inspection data from the Food Standards Agency to identify associations between pig respiratory disease, farm characteristics (housing type and number of source farms), and pig performance (mortality, average daily weight gain, back fat and carcass weight) from 49 all in/all out grow-to-finish farms. We took a confirmatory approach by pre-registering our hypotheses and used Bayesian multi-level modelling to quantify the uncertainty in our estimates. The study findings showed that acquiring growing pigs from multiple sources was associated with higher respiratory condition prevalence. Higher prevalence of respiratory conditions was linked with higher mortality, and lower average daily weight gain, back fat and pig carcass weight. Our results support previous literature using a range of data sources. In conclusion, we find that meat inspection data are more valuable at a finer resolution than has been previously indicated and could be a useful tool in monitoring batch-level pig health in the future.
url https://doi.org/10.1038/s41598-021-93027-9
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