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Structural characterization of piglet producing farms and their sow removal patterns in Finland
BACKGROUND: The main objectives of this observational, cross-sectional study were to characterize piglet producing farms in Finland and to investigate how farm profiles are associated with sow culling and mortality. The study was conducted on 43 farms during 2014. A questionnaire survey was administ...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540429/ https://www.ncbi.nlm.nih.gov/pubmed/31161043 http://dx.doi.org/10.1186/s40813-019-0119-8 |
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author | Bergman, Paula Munsterhjelm, Camilla Virtala, Anna-Maija Peltoniemi, Olli Valros, Anna Heinonen, Mari |
author_facet | Bergman, Paula Munsterhjelm, Camilla Virtala, Anna-Maija Peltoniemi, Olli Valros, Anna Heinonen, Mari |
author_sort | Bergman, Paula |
collection | PubMed |
description | BACKGROUND: The main objectives of this observational, cross-sectional study were to characterize piglet producing farms in Finland and to investigate how farm profiles are associated with sow culling and mortality. The study was conducted on 43 farms during 2014. A questionnaire survey was administered in-person and supplemented with observations in the housing facilities. Annual removal figures and average monthly sow inventories were retrieved from a centralized animal data recording system (National Swine Registry) administered by the Finnish Food Authority. Multiple correspondence analysis and hierarchical clustering were used to explore the complex underlying data-driven patterns. RESULTS: Sow removal varied markedly between farms with an overall average culling percentage of 38.0% (95% CI 34.1–42.0) and a relatively high average mortality percentage 9.7% (95% CI 7.9–11.5). We identified three farm clusters, which differed both in their typologies and removal patterns. Cluster 1 included farms with features indicative of a semi-intensive or intensive kind of farming, such as larger herd and room sizes, higher stocking density and more sows per caretaker. Most of the cluster 1 farms exceeded the investigated cut-off levels for culling and mortality. Cluster 2 farms were estimated to have the best animal welfare among the sample farms based on a combination of environmental indicators (e.g. amount of bedding, rooting and nesting materials, space allowance, pen cleanliness) and the lowest level of sow mortality as an animal-based indicator. Cluster 3 farms followed a strategy of a rather non-intensified system based on the predominance of smaller herd size, lower stocking density and less sows per caretaker, combined breeding and gestation rooms and rare use of farrowing induction. This cluster showed the lowest culling levels within the sample. CONCLUSIONS: This study captures the diversity among Finnish sow farms and provides a baseline assessment of their practices and facilities. Our results support the notion that farm typologies are associated with sow culling and mortality. In summary, the control of suboptimal sow removal cannot be based on single improvements only, because of other limitations within the individual farm resources. |
format | Online Article Text |
id | pubmed-6540429 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65404292019-06-03 Structural characterization of piglet producing farms and their sow removal patterns in Finland Bergman, Paula Munsterhjelm, Camilla Virtala, Anna-Maija Peltoniemi, Olli Valros, Anna Heinonen, Mari Porcine Health Manag Research BACKGROUND: The main objectives of this observational, cross-sectional study were to characterize piglet producing farms in Finland and to investigate how farm profiles are associated with sow culling and mortality. The study was conducted on 43 farms during 2014. A questionnaire survey was administered in-person and supplemented with observations in the housing facilities. Annual removal figures and average monthly sow inventories were retrieved from a centralized animal data recording system (National Swine Registry) administered by the Finnish Food Authority. Multiple correspondence analysis and hierarchical clustering were used to explore the complex underlying data-driven patterns. RESULTS: Sow removal varied markedly between farms with an overall average culling percentage of 38.0% (95% CI 34.1–42.0) and a relatively high average mortality percentage 9.7% (95% CI 7.9–11.5). We identified three farm clusters, which differed both in their typologies and removal patterns. Cluster 1 included farms with features indicative of a semi-intensive or intensive kind of farming, such as larger herd and room sizes, higher stocking density and more sows per caretaker. Most of the cluster 1 farms exceeded the investigated cut-off levels for culling and mortality. Cluster 2 farms were estimated to have the best animal welfare among the sample farms based on a combination of environmental indicators (e.g. amount of bedding, rooting and nesting materials, space allowance, pen cleanliness) and the lowest level of sow mortality as an animal-based indicator. Cluster 3 farms followed a strategy of a rather non-intensified system based on the predominance of smaller herd size, lower stocking density and less sows per caretaker, combined breeding and gestation rooms and rare use of farrowing induction. This cluster showed the lowest culling levels within the sample. CONCLUSIONS: This study captures the diversity among Finnish sow farms and provides a baseline assessment of their practices and facilities. Our results support the notion that farm typologies are associated with sow culling and mortality. In summary, the control of suboptimal sow removal cannot be based on single improvements only, because of other limitations within the individual farm resources. BioMed Central 2019-05-31 /pmc/articles/PMC6540429/ /pubmed/31161043 http://dx.doi.org/10.1186/s40813-019-0119-8 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Bergman, Paula Munsterhjelm, Camilla Virtala, Anna-Maija Peltoniemi, Olli Valros, Anna Heinonen, Mari Structural characterization of piglet producing farms and their sow removal patterns in Finland |
title | Structural characterization of piglet producing farms and their sow removal patterns in Finland |
title_full | Structural characterization of piglet producing farms and their sow removal patterns in Finland |
title_fullStr | Structural characterization of piglet producing farms and their sow removal patterns in Finland |
title_full_unstemmed | Structural characterization of piglet producing farms and their sow removal patterns in Finland |
title_short | Structural characterization of piglet producing farms and their sow removal patterns in Finland |
title_sort | structural characterization of piglet producing farms and their sow removal patterns in finland |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540429/ https://www.ncbi.nlm.nih.gov/pubmed/31161043 http://dx.doi.org/10.1186/s40813-019-0119-8 |
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