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Retrospective study using biosensor data of a milking Holstein cow with jejunal haemorrhage syndrome

  • Seungmin Ha
  • , Seogjin Kang
  • , Mooyoung Jung
  • , Eunjeong Jeon
  • , Seongsoo Hwang
  • , Jihwan Lee
  • , Jongho Kim
  • , You Chan Bae
  • , Jinho Park
  • , Ui Hyung Kim*
  • *Corresponding author for this work
  • Rural Development Administration
  • Animal and Plant Quarantine Agency

Research output: Contribution to journalJournal articlepeer-review

Abstract

Jejunal haemorrhage syndrome (JHS) is a sporadic and fatal enterotoxaemic disease in dairy cows associated with acute development and poor prognosis despite treatment. A 5-year-old Holstein cow with no reported pregnancy, three calving numbers, and 303 days in milk presented with hypothermia, discomfort, and inappetence. Anaemia, dehydration, faeces with blood clots, and absence of rumen and bowel movements were observed. We identified the presence of neutrophilia, hyperglycaemia, hypoproteinaemia, azotaemia, hyperlactatemia, hypocalcaemia, hypermagnesemia, hypokalaemia, and hypochloraemia through blood analyses. Necropsy and histopathologic examination revealed a dilated bluish-purple jejunum, blood clots within the jejunum, neutrophil infiltration into the submucosa of the jejunum, and vascular necrosis. Retrospective examination revealed extraordinary patterns of rumination time, activity, rumen mobility, and rumen temperature using biosensors and decreased milk yield. The abnormalities in the affected cow were detected before recognition by farm workers. To the best of our knowledge, this is the first report to examine data from biosensors in a cow with JHS. Our findings suggest that using biometric data may help understand the development of JHS.

Original languageEnglish
Pages (from-to)375-383
Number of pages9
JournalVeterinarni Medicina
Volume68
Issue number9
DOIs
StatePublished - 2023

Keywords

  • automated monitoring system
  • blood analysis
  • Bos taurus taurus
  • haemorrhagic bowel syndrome
  • necropsy

Quacquarelli Symonds(QS) Subject Topics

  • Veterinary Science

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