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Improving the management procedures in farms infected with the Porcine Reproductive and Respiratory Syndrome virus using PDP models
Pig meat production need to be built up in the future due to the increase of the human population worldwide. To address this challenge, there is plenty of room for improvement in terms of pig production efficiency that could be severely hampered by the presence of diseases. In this sense, Porcine Re...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6620323/ https://www.ncbi.nlm.nih.gov/pubmed/31292473 http://dx.doi.org/10.1038/s41598-019-46339-w |
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author | Colomer, Ma Àngels Margalida, Antoni Fraile, Lorenzo |
author_facet | Colomer, Ma Àngels Margalida, Antoni Fraile, Lorenzo |
author_sort | Colomer, Ma Àngels |
collection | PubMed |
description | Pig meat production need to be built up in the future due to the increase of the human population worldwide. To address this challenge, there is plenty of room for improvement in terms of pig production efficiency that could be severely hampered by the presence of diseases. In this sense, Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) is one of the most costly disease present in industrial pork production in Europe and North America. We have developed a model to analyze the effect of different management procedures to control this important virus in different epidemiological scenarios. Our results clearly suggest that no cross-fostering during lactation and the maintaining of litter integrity significantly decrease the number of sick and dead animals during the rearing period compared to scenarios where cross-fostering and no litter integrity are practiced. These results highlight the relevance of different management strategies to control PRRSV and quantify the effect of limiting cross-fostering and avoiding mixing animals from different litters in PRRSV positive farms to optimize animal production. Our findings will allow pig farmers to apply these management procedures to control this disease under field conditions in a very cost-effective way. |
format | Online Article Text |
id | pubmed-6620323 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66203232019-07-18 Improving the management procedures in farms infected with the Porcine Reproductive and Respiratory Syndrome virus using PDP models Colomer, Ma Àngels Margalida, Antoni Fraile, Lorenzo Sci Rep Article Pig meat production need to be built up in the future due to the increase of the human population worldwide. To address this challenge, there is plenty of room for improvement in terms of pig production efficiency that could be severely hampered by the presence of diseases. In this sense, Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) is one of the most costly disease present in industrial pork production in Europe and North America. We have developed a model to analyze the effect of different management procedures to control this important virus in different epidemiological scenarios. Our results clearly suggest that no cross-fostering during lactation and the maintaining of litter integrity significantly decrease the number of sick and dead animals during the rearing period compared to scenarios where cross-fostering and no litter integrity are practiced. These results highlight the relevance of different management strategies to control PRRSV and quantify the effect of limiting cross-fostering and avoiding mixing animals from different litters in PRRSV positive farms to optimize animal production. Our findings will allow pig farmers to apply these management procedures to control this disease under field conditions in a very cost-effective way. Nature Publishing Group UK 2019-07-10 /pmc/articles/PMC6620323/ /pubmed/31292473 http://dx.doi.org/10.1038/s41598-019-46339-w Text en © The Author(s) 2019 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Colomer, Ma Àngels Margalida, Antoni Fraile, Lorenzo Improving the management procedures in farms infected with the Porcine Reproductive and Respiratory Syndrome virus using PDP models |
title | Improving the management procedures in farms infected with the Porcine Reproductive and Respiratory Syndrome virus using PDP models |
title_full | Improving the management procedures in farms infected with the Porcine Reproductive and Respiratory Syndrome virus using PDP models |
title_fullStr | Improving the management procedures in farms infected with the Porcine Reproductive and Respiratory Syndrome virus using PDP models |
title_full_unstemmed | Improving the management procedures in farms infected with the Porcine Reproductive and Respiratory Syndrome virus using PDP models |
title_short | Improving the management procedures in farms infected with the Porcine Reproductive and Respiratory Syndrome virus using PDP models |
title_sort | improving the management procedures in farms infected with the porcine reproductive and respiratory syndrome virus using pdp models |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6620323/ https://www.ncbi.nlm.nih.gov/pubmed/31292473 http://dx.doi.org/10.1038/s41598-019-46339-w |
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