Early insight into udder health and mastitis risk
Milk Quality Control Cell Count (MQC-C)
Healthy cows are the foundation of a well-run dairy farm. When it comes to udder health, early detection of problems is crucial. One of the most important indicators of udder health is the somatic cell count (SCC), also known as cell count. SCC is a parameter that is often used for (sub)clinical mastitis diagnosis and therefore this parameter is used to improve udder health. Changes in SCC often signal udder inflammation, even before visible symptoms appear. With the Lely Milk Quality Control Cell Count (MQC-C), Lely offers dairy farmers a practical tool to insert somatic cell count automatically and identify abnormalities in milk at an early stage.

Udder health monitoring
Why somatic cell count matters
Somatic cell count is widely used as an indicator of mastitis and udder infection. A sudden rise in SCC usually points to inflammation in the udder, often caused by bacteria. This can lead to reduced milk quality, lower milk yield, increased treatment costs and negative effects on cow welfare. Subclinical mastitis is particularly challenging because cows may appear healthy while SCC is already increasing. Without early detection, infections can spread and recovery takes longer. Monitoring SCC at cow level helps farmers make timely decisions and maintain good cow health throughout the lactation cycle of the cow.
What is Lely Milk Quality Control Cell Count (MQC-C)?
The Lely MQC-C is an additional feature on the Lely Astronaut milking robot. It automatically measures cell count during milking and provides fast insight into changes in milk quality. The system takes a small milk sample and adds a reagent liquid to the sample. Based on the viscosity of the mixture, the MQC-C estimates the somatic cell count. This method is comparable to the California Mastitis Test, but fully automated and performed during regular milking.
Smart and frequent measurements
The MQC-C performs a measurement every three milkings using smart sampling. When a higher SCC is detected (above approximately 250,000 cells/ml), the system increases the measurement frequency to every milking. This creates a more detailed udder health profile for the individual cow. Frequent measurement is especially valuable because laboratory SCC results are often only available every three to six weeks. Continuous monitoring helps farmers detect problems early and respond faster.
Early detection of mastitis
Early identification of (sub)clinical mastitis is essential for effective treatment and recovery. By detecting changes in SCC quickly, farmers can treat cows earlier and prevent worsening infections. They also can reduce antibiotic use and limit production losses. The MQC-C acts as a screening tool. It does not replace diagnostics, but it highlights cows that need attention before visible symptoms occur.
Combining data for better decisions
Udder health does not depend on one factor alone. That is why SCC data becomes even more powerful when combined with other milk and cow data. In Lely Horizon, SCC insights from the MQC-C are combined with information such as:
- Milk conductivity
- Milk colour and temperature
- Milking speed and milking time
- Milk production, fat and protein indicators
By analysing these data together, Lely Horizon generates health alerts and tasks, helping farmers act at the right moment. This supports better farm management, improved recovery rates, and long-term udder health.
Conclusion
The Milk Quality Control Cell Count (MQC-C) helps dairy farmers monitor udder health continuously and identify abnormalities in milk at an early stage. By providing frequent, cow-level insight into somatic cell count, the system supports timely decision-making and effective mastitis management. Early detection leads to healthier cows, better milk quality, and a more sustainable dairy operation, every day of the lactation cycle.





