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Use of the Fossomatic Somatic Cell Counts in a Mastitis Control Program 1.

G M Jones1, C W Heald1, W N Patterson1

  • 1Department of Dairy Science and The Virginia Federation of Dairy Herd Improvement Association, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061.

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|February 9, 2019
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Summary
This summary is machine-generated.

Somatic cell counts in cow milk were analyzed using the Fossomatic method. Initial results showed a significant percentage of cows with low somatic cell counts, indicating good udder health.

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Area of Science:

  • Dairy Science
  • Animal Health
  • Mastitis Detection

Background:

  • Somatic cell count (SCC) is a key indicator of bovine udder health and milk quality.
  • Early detection of mastitis is crucial for maintaining herd productivity and milk yield.

Purpose of the Study:

  • To implement and evaluate the Fossomatic method for determining somatic cell counts in individual cow milk samples.
  • To analyze initial SCC data within the Virginia Dairy Herd Improvement testing program.
  • To provide guidance for dairymen on interpreting SCC results.

Main Methods:

  • Utilized the Fossomatic instrument for automated SCC determination.
  • Collected and analyzed milk samples from a large cohort of cows within a structured testing program.
  • Applied statistical analysis to categorize SCC data for cows and herds.

Main Results:

  • The average SCC was 449,060 cells/ml across 113,735 observations in the first six months.
  • Initially, 47.9% of cows had SCC below 150,000 cells/ml.
  • Herd-level analysis indicated 66% averaged less than 500,000 cells/ml, with a calculated 5% milk production loss due to infections.

Conclusions:

  • The Fossomatic method provides a reliable tool for monitoring udder health through SCC.
  • Initial data suggests a baseline SCC distribution, with potential for improvement in certain herds.
  • Understanding SCC interpretation is vital for effective mastitis management and optimizing milk production.