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Modelling the links between farm characteristics, respiratory health and pig production traits
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 inspec...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253804/ https://www.ncbi.nlm.nih.gov/pubmed/34215759 http://dx.doi.org/10.1038/s41598-021-93027-9 |
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author | Gray, H. Friel, M. Goold, C. Smith, R. P. Williamson, S. M. Collins, L. M. |
author_facet | Gray, H. Friel, M. Goold, C. Smith, R. P. Williamson, S. M. Collins, L. M. |
author_sort | Gray, H. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8253804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82538042021-07-06 Modelling the links between farm characteristics, respiratory health and pig production traits Gray, H. Friel, M. Goold, C. Smith, R. P. Williamson, S. M. Collins, L. M. Sci Rep Article 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. Nature Publishing Group UK 2021-07-02 /pmc/articles/PMC8253804/ /pubmed/34215759 http://dx.doi.org/10.1038/s41598-021-93027-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Gray, H. Friel, M. Goold, C. Smith, R. P. Williamson, S. M. Collins, L. M. Modelling the links between farm characteristics, respiratory health and pig production traits |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253804/ https://www.ncbi.nlm.nih.gov/pubmed/34215759 http://dx.doi.org/10.1038/s41598-021-93027-9 |
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