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Bovine mastitis and optimal disease management: Dynamic programming analysis.

Tokuharu Sekiya1, Sachi Yamaguchi2, Yoh Iwasa1

  • 1Department of Bioscience, School of Science and Technology, Kwansei Gakuin University, 2-1 Gakuen, Sanda-shi, Hyogo 669-1337, Japan.

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|April 26, 2020
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Summary
This summary is machine-generated.

Dairy farmers can optimize mastitis management by considering infection severity, cow age, and season. Optimal decisions balance treatment costs against potential losses from infected cows, impacting overall farm profitability.

Keywords:
Dairy farmersEconomic operationMedical treatment

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Area of Science:

  • Animal Science
  • Veterinary Medicine
  • Agricultural Economics

Background:

  • Mastitis in dairy cows imposes significant economic losses on farmers.
  • Effective disease management is crucial for agricultural success and public health.

Purpose of the Study:

  • To develop an optimal management strategy for dairy cows affected by mastitis.
  • To analyze the economic impact of mastitis on dairy farming operations.

Main Methods:

  • A dynamic programming model was employed to simulate cow management.
  • Models incorporated factors like infection levels, cow age, calving, and culling.
  • Parameters were calibrated to Japanese dairy farming conditions.

Main Results:

  • Treatment decisions for mastitis depend on the number of infected quarters, cow age, and season.
  • Culling is recommended for old cows with extensive infections, especially when not nearing calving.
  • Optimal policy is sensitive to milk price, maintenance costs, and recovery rates, but not infection rates.

Conclusions:

  • Dynamic programming provides a framework for optimizing mastitis management in dairy herds.
  • Management decisions should integrate disease status, animal age, reproductive cycle, and economic factors.
  • The study highlights the economic importance of strategic interventions for infectious diseases in livestock.