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Improving sow welfare and outcomes in the farrowing house by identifying early indicators from pre-farrowing assessment
Poor outcomes reflect low performance during the farrowing and lactation periods and unanticipated sow removals. Since the period around farrowing has the highest risk for sow health issues, monitoring of sows in that time-period will improve both welfare and productivity. The aim of this study was...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9667975/ https://www.ncbi.nlm.nih.gov/pubmed/36062853 http://dx.doi.org/10.1093/jas/skac294 |
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author | Vargovic, Laura Athorn, Rebecca Z Hermesch, Susanne Bunter, Kim L |
author_facet | Vargovic, Laura Athorn, Rebecca Z Hermesch, Susanne Bunter, Kim L |
author_sort | Vargovic, Laura |
collection | PubMed |
description | Poor outcomes reflect low performance during the farrowing and lactation periods and unanticipated sow removals. Since the period around farrowing has the highest risk for sow health issues, monitoring of sows in that time-period will improve both welfare and productivity. The aim of this study was to identify the most relevant risk factors for predicting poor outcomes and the implication for sow welfare. Identifying these factors could potentially enable management interventions to decrease incidences of compromised welfare or poor performance. Data from 1,103 sows sourced from two nucleus herds were recorded for a range of variables investigated as potential predictors of poor outcomes in the farrowing house. Poor outcomes (scored as binary traits) reflected three categories in a sow’s lifecycle: farrowing, lactation, and removals. Univariate logistic regression was used to identify predictors in the first instance. Predictors from univariate analyses were subsequently considered together in multi-variate models. The least square means representing predicted probabilities of poor outcomes were then reported on the observed scale. Several predictors were significant across two different environments (farms) and for all three categories. These predictors included feed refusal (lack of appetite), crate fit, locomotion score, and respiration rate. Normal appetite compared to feed refusals reduced the risk of farrowing failure (13.5 vs. 22.2%, P = 0.025) and removals (10.4 vs. 20.4%, P < 0.001). Fit in the crate was significant (P < 0.001) for farrowing and lactation outcomes, and was more informative than parity. Sows with sufficient space had two to three times reduced risk of poor outcomes compared to restrictive crates relative to sow dimensions. Sows with good locomotion score pre-farrowing had two to three times less risk of farrowing failure (P = 0.025) and reduced piglet mortality (P < 0.001), weaned two piglets more relative to affected sows (P < 0.001), and were less likely to be removed before weaning (3.24 vs. 12.3%, P = 0.014). Sows with higher respiration rates had a significantly (P < 0.001) reduced risk of poor farrowing outcomes. This study demonstrated it is possible to predict poor outcomes for sows prior to farrowing, suggesting there are opportunities to decrease the risk of poor outcomes and increase overall sow welfare. |
format | Online Article Text |
id | pubmed-9667975 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-96679752022-11-17 Improving sow welfare and outcomes in the farrowing house by identifying early indicators from pre-farrowing assessment Vargovic, Laura Athorn, Rebecca Z Hermesch, Susanne Bunter, Kim L J Anim Sci Animal Health and Well Being Poor outcomes reflect low performance during the farrowing and lactation periods and unanticipated sow removals. Since the period around farrowing has the highest risk for sow health issues, monitoring of sows in that time-period will improve both welfare and productivity. The aim of this study was to identify the most relevant risk factors for predicting poor outcomes and the implication for sow welfare. Identifying these factors could potentially enable management interventions to decrease incidences of compromised welfare or poor performance. Data from 1,103 sows sourced from two nucleus herds were recorded for a range of variables investigated as potential predictors of poor outcomes in the farrowing house. Poor outcomes (scored as binary traits) reflected three categories in a sow’s lifecycle: farrowing, lactation, and removals. Univariate logistic regression was used to identify predictors in the first instance. Predictors from univariate analyses were subsequently considered together in multi-variate models. The least square means representing predicted probabilities of poor outcomes were then reported on the observed scale. Several predictors were significant across two different environments (farms) and for all three categories. These predictors included feed refusal (lack of appetite), crate fit, locomotion score, and respiration rate. Normal appetite compared to feed refusals reduced the risk of farrowing failure (13.5 vs. 22.2%, P = 0.025) and removals (10.4 vs. 20.4%, P < 0.001). Fit in the crate was significant (P < 0.001) for farrowing and lactation outcomes, and was more informative than parity. Sows with sufficient space had two to three times reduced risk of poor outcomes compared to restrictive crates relative to sow dimensions. Sows with good locomotion score pre-farrowing had two to three times less risk of farrowing failure (P = 0.025) and reduced piglet mortality (P < 0.001), weaned two piglets more relative to affected sows (P < 0.001), and were less likely to be removed before weaning (3.24 vs. 12.3%, P = 0.014). Sows with higher respiration rates had a significantly (P < 0.001) reduced risk of poor farrowing outcomes. This study demonstrated it is possible to predict poor outcomes for sows prior to farrowing, suggesting there are opportunities to decrease the risk of poor outcomes and increase overall sow welfare. Oxford University Press 2022-09-05 /pmc/articles/PMC9667975/ /pubmed/36062853 http://dx.doi.org/10.1093/jas/skac294 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the American Society of Animal Science. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Animal Health and Well Being Vargovic, Laura Athorn, Rebecca Z Hermesch, Susanne Bunter, Kim L Improving sow welfare and outcomes in the farrowing house by identifying early indicators from pre-farrowing assessment |
title | Improving sow welfare and outcomes in the farrowing house by identifying early indicators from pre-farrowing assessment |
title_full | Improving sow welfare and outcomes in the farrowing house by identifying early indicators from pre-farrowing assessment |
title_fullStr | Improving sow welfare and outcomes in the farrowing house by identifying early indicators from pre-farrowing assessment |
title_full_unstemmed | Improving sow welfare and outcomes in the farrowing house by identifying early indicators from pre-farrowing assessment |
title_short | Improving sow welfare and outcomes in the farrowing house by identifying early indicators from pre-farrowing assessment |
title_sort | improving sow welfare and outcomes in the farrowing house by identifying early indicators from pre-farrowing assessment |
topic | Animal Health and Well Being |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9667975/ https://www.ncbi.nlm.nih.gov/pubmed/36062853 http://dx.doi.org/10.1093/jas/skac294 |
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