Characteristics of thermal images of the mammary gland and of performance in sows differing in health status and parity.

early disease detection healthcare infrared imaging postpartum dysgalactia syndrome precision farming smart farming udder welfare monitoring

Journal

Frontiers in veterinary science
ISSN: 2297-1769
Titre abrégé: Front Vet Sci
Pays: Switzerland
ID NLM: 101666658

Informations de publication

Date de publication:
2022
Historique:
received: 18 05 2022
accepted: 09 08 2022
entrez: 19 9 2022
pubmed: 20 9 2022
medline: 20 9 2022
Statut: epublish

Résumé

Precision livestock farming can combine sensors and complex data to provide a simple score of meaningful productivity, pig welfare, and farm sustainability, which are the main drivers of modern pig production. Examples include using infrared thermography to monitor the temperature of sows to detect the early stages of the disease. To take account of these drivers, we assigned 697 hybrid (BHZP db. Viktoria) sows to four parity groups. In addition, by pooling clinical findings from every sow and their piglets, sows were classified into three groups for the annotation: healthy, clinically suspicious, and diseased. Besides, the udder was thermographed, and performance data were documented. Results showed that the piglets of diseased sows with eighth or higher parity had the lowest daily weight gain [healthy; 192 g ± 31.2, clinically suspicious; 191 g ± 31.3, diseased; 148 g ± 50.3 (

Identifiants

pubmed: 36118336
doi: 10.3389/fvets.2022.920302
pmc: PMC9480095
doi:

Types de publication

Journal Article

Langues

eng

Pagination

920302

Informations de copyright

Copyright © 2022 Rosengart, Chuppava, Trost, Henne, Tetens, Traulsen, Deermann, Wendt and Visscher.

Déclaration de conflit d'intérêts

Author AD was employed by EVH Select GmbH, Meppen, Germany. Author HH was employed by BHZP GmbH, Dahlenburg-Ellringen, Germany. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Stephan Rosengart (S)

Clinic for Swine and Small Ruminants, Forensic Medicine and Ambulatory Service, University of Veterinary Medicine Hannover, Foundation, Hanover, Germany.
Institute for Animal Nutrition, University of Veterinary Medicine Hannover, Foundation, Hanover, Germany.

Bussarakam Chuppava (B)

Institute for Animal Nutrition, University of Veterinary Medicine Hannover, Foundation, Hanover, Germany.

Lea-Sophie Trost (LS)

Department of Animal Sciences, Livestock Systems, Georg-August-University Göttingen, Göttingen, Germany.

Hubert Henne (H)

BHZP GmbH, Dahlenburg-Ellringen, Germany.

Jens Tetens (J)

Department of Animal Sciences, University of Göttingen, Göttingen, Germany.

Imke Traulsen (I)

Department of Animal Sciences, Livestock Systems, Georg-August-University Göttingen, Göttingen, Germany.

Ansgar Deermann (A)

EVH Select GmbH, Meppen, Germany.

Michael Wendt (M)

Clinic for Swine and Small Ruminants, Forensic Medicine and Ambulatory Service, University of Veterinary Medicine Hannover, Foundation, Hanover, Germany.

Christian Visscher (C)

Institute for Animal Nutrition, University of Veterinary Medicine Hannover, Foundation, Hanover, Germany.

Classifications MeSH