Quantitative comparison between serum components and somatic cells in bovine quarter milk

Area of Science:

• Veterinary immunology
• Dairy science
• Animal health

Background:

• Somatic cell count (SCC) is a key indicator of bovine milk quality and udder health.
• Serum components in milk can provide insights into physiological changes.
• Accurate differentiation of normal and abnormal milk is crucial for dairy production.

Purpose of the Study:

• To quantitatively compare serum components and somatic cells in bovine quarter milk.
• To investigate the correlation between somatic cell counts and specific milk serum proteins.
• To evaluate the potential of gamma-globulin as a marker for abnormal milk.

Main Methods:

• Collected 202 bovine quarter milk samples from 3 dairy farms.
• Quantified somatic cells using Breed's method.
• Detected serum components, specifically gamma-globulin and albumin, using an immunological technique.

Main Results:

• Demonstrated a high positive correlation (r = 0.77) between somatic cell counts and gamma-globulin content.
• Observed a weaker correlation (r = 0.45) between somatic cell counts and serum albumin.
• Found that milks with over 500,000 cells/ml often had gamma-globulin levels below 1.138 mg/ml, a pattern also prevalent in normal milk samples.

Conclusions:

• Gamma-globulin content in bovine milk shows a significant correlation with somatic cell counts.
• Milk gamma-globulin levels may serve as a useful indicator for distinguishing normal from abnormal milk.
• This finding could contribute to improved diagnostics and management strategies in dairy farming.