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Risk factors for bobby calf mortality across the New Zealand dairy supply chain
The objective of this study was to identify risk factors for morbidity and mortality of bobby calves across the whole dairy supply chain in New Zealand. A case-control study was carried out in the 2016 spring calving season. A total of 194 bobby calves, comprising 38 cases (calves that died or were...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127677/ https://www.ncbi.nlm.nih.gov/pubmed/31765960 http://dx.doi.org/10.1016/j.prevetmed.2019.104836 |
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author | Boulton, Alana C. Kells, Nikki J Cogger, Naomi Johnson, Craig B. O’Connor, Cheryl Webster, Jim Palmer, Anna Beausoleil, Ngaio J. |
author_facet | Boulton, Alana C. Kells, Nikki J Cogger, Naomi Johnson, Craig B. O’Connor, Cheryl Webster, Jim Palmer, Anna Beausoleil, Ngaio J. |
author_sort | Boulton, Alana C. |
collection | PubMed |
description | The objective of this study was to identify risk factors for morbidity and mortality of bobby calves across the whole dairy supply chain in New Zealand. A case-control study was carried out in the 2016 spring calving season. A total of 194 bobby calves, comprising 38 cases (calves that died or were condemned for health or welfare reasons before the point of slaughter) and 156 controls (calves deemed acceptable and presented for slaughter) were included in the study. Case and control calves were selected by veterinarians located at 29 processing premises across New Zealand. Information regarding management of selected calves on-farm, during transport and at the processor was obtained retrospectively via questionnaires administered to supplying farmers, transport operators and processing premises personnel. Associations between management variables and calf mortality (death or condemnation) were examined using multivariable logistic regression models. Factors associated with an increased risk of calf mortality included time in the farm of origin’s calving season, duration of travel from farm to the processor and processing slaughter schedule (same day or next day). Every additional week into the farm’s calving season increased the odds of mortality by a factor of 1.2 (95%CI 1.06, 1.35). Similarly, each additional hour of travel time increased the odds of mortality by a factor of 1.45 (95% CI 1.18, 1.76). Risk of mortality was significantly greater for calves processed at premises with a next day slaughter schedule than those processed at premises with a same day slaughter schedule (OR 3.82, 95% CI 1.51, 9.67). However, when the data set was limited to those cases that died or were condemned in the yards (i.e. excluding calves that were dead or condemned on arrival) the effect of same day slaughter was not significant. In order to reduce bobby calf mortality and morbidity, transport duration should be kept as short as possible and a same day slaughter schedule applied. While these factors can be regulated, New Zealand’s pastoral dairy system means that calves will inevitably be transported for slaughter across several months each spring. Although farm management factors did not apparently influence the risk of mortality in this study, the effect of time in farm’s calving season suggests there may be farm-management related factors that change over the season. This requires further investigation. |
format | Online Article Text |
id | pubmed-7127677 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71276772020-04-08 Risk factors for bobby calf mortality across the New Zealand dairy supply chain Boulton, Alana C. Kells, Nikki J Cogger, Naomi Johnson, Craig B. O’Connor, Cheryl Webster, Jim Palmer, Anna Beausoleil, Ngaio J. Prev Vet Med Article The objective of this study was to identify risk factors for morbidity and mortality of bobby calves across the whole dairy supply chain in New Zealand. A case-control study was carried out in the 2016 spring calving season. A total of 194 bobby calves, comprising 38 cases (calves that died or were condemned for health or welfare reasons before the point of slaughter) and 156 controls (calves deemed acceptable and presented for slaughter) were included in the study. Case and control calves were selected by veterinarians located at 29 processing premises across New Zealand. Information regarding management of selected calves on-farm, during transport and at the processor was obtained retrospectively via questionnaires administered to supplying farmers, transport operators and processing premises personnel. Associations between management variables and calf mortality (death or condemnation) were examined using multivariable logistic regression models. Factors associated with an increased risk of calf mortality included time in the farm of origin’s calving season, duration of travel from farm to the processor and processing slaughter schedule (same day or next day). Every additional week into the farm’s calving season increased the odds of mortality by a factor of 1.2 (95%CI 1.06, 1.35). Similarly, each additional hour of travel time increased the odds of mortality by a factor of 1.45 (95% CI 1.18, 1.76). Risk of mortality was significantly greater for calves processed at premises with a next day slaughter schedule than those processed at premises with a same day slaughter schedule (OR 3.82, 95% CI 1.51, 9.67). However, when the data set was limited to those cases that died or were condemned in the yards (i.e. excluding calves that were dead or condemned on arrival) the effect of same day slaughter was not significant. In order to reduce bobby calf mortality and morbidity, transport duration should be kept as short as possible and a same day slaughter schedule applied. While these factors can be regulated, New Zealand’s pastoral dairy system means that calves will inevitably be transported for slaughter across several months each spring. Although farm management factors did not apparently influence the risk of mortality in this study, the effect of time in farm’s calving season suggests there may be farm-management related factors that change over the season. This requires further investigation. Elsevier B.V. 2020-01 2019-11-14 /pmc/articles/PMC7127677/ /pubmed/31765960 http://dx.doi.org/10.1016/j.prevetmed.2019.104836 Text en © 2019 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Boulton, Alana C. Kells, Nikki J Cogger, Naomi Johnson, Craig B. O’Connor, Cheryl Webster, Jim Palmer, Anna Beausoleil, Ngaio J. Risk factors for bobby calf mortality across the New Zealand dairy supply chain |
title | Risk factors for bobby calf mortality across the New Zealand dairy supply chain |
title_full | Risk factors for bobby calf mortality across the New Zealand dairy supply chain |
title_fullStr | Risk factors for bobby calf mortality across the New Zealand dairy supply chain |
title_full_unstemmed | Risk factors for bobby calf mortality across the New Zealand dairy supply chain |
title_short | Risk factors for bobby calf mortality across the New Zealand dairy supply chain |
title_sort | risk factors for bobby calf mortality across the new zealand dairy supply chain |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127677/ https://www.ncbi.nlm.nih.gov/pubmed/31765960 http://dx.doi.org/10.1016/j.prevetmed.2019.104836 |
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