Mastitis Detection in Dairy Cattle – Modern Monitoring in Practice

Mastitis as a Major Health Concern

Mastitis, an inflammation of udder tissue, is one of the most impactful health issues in dairy farming. It leads to reduced milk production, lower quality, increased costs, and animal welfare problems. The earlier mastitis is detected, the less damage occurs and the more targeted the treatment can be. Various detection methods exist, and increasingly, inline monitoring systems are used to collect real-time data during milking.

Traditional Methods of Mastitis Detection

Mastitis can be detected at the clinical level, with visible abnormalities, or at the subclinical level, where changes are not yet visible to the naked eye. Traditionally, simple tools such as pH strips and conductivity measurements were used:

• pH measurement: A rise in milk pH may indicate inflammation, as the milk loses its chemical balance.
• Conductivity: Electrical conductivity increases due to salts and minerals entering the milk from inflamed udder tissue.

Approximately 30% of clinical and subclinical mastitis cases can be detected early using these methods, allowing timely management actions such as extra and more careful milking of the affected quarter.

Rise of Real-Time Sensor Technology

In addition to traditional and diagnostic methods, real-time sensors are gaining importance. A good example is BouMatic’s MilkGenius, an inline system that automatically analyses fat, protein, lactose, and temperature during milking. These parameters provide valuable insights into udder health and milk production function.

Characteristic shifts in these values occur during mastitis:

• Lactose decreases: Inflammation damages milk-producing cells, reducing lactose production. It’s also diluted by inflammatory fluid. A drop in lactose is a strong indicator of subclinical mastitis.
• Protein decreases slightly or remains stable, but casein drops more significantly in severe inflammation due to disrupted synthesis in the alveoli. Protein ratios may shift.
• Fat fluctuates, and may increase due to changes in milk volume or disrupted transport processes. Fat alone isn’t mastitis-specific, but altered fat/lactose ratios can be indicative.
• Temperature rises locally: Inflammation increases blood flow in the udder, warming the milk. The cow’s body temperature may also rise slightly. Inline temperature measurement provides an additional early warning signal.

Early Detection via Software and Data Monitoring

By automatically recording these parameters per cow and per milking session, software can detect abnormalities before clinical symptoms appear. Where previously only conductivity and SCC were available, the combination of lactose, protein, fat, and temperature offers a much more complete picture. The fact that lactose and temperature respond quickly to inflammation makes them especially suitable for early detection. Management software can then flag attention cows, enabling rapid intervention.