Hoof Health Monitoring on Dairy Farms

Why monitoring matters

Lameness is one of the most economically damaging conditions in dairy farming, yet it is consistently under-detected. Studies show that farmers typically identify fewer than half of clinically lame cows in their herds — because the condition develops gradually, cows adapt their behaviour to mask pain, and the financial losses are distributed across multiple cost centres rather than appearing as a single visible event.

A structured monitoring programme changes this: it sets a baseline, detects deterioration early, and creates the data needed to evaluate whether prevention measures are working.

Locomotion scoring

Locomotion scoring is the most widely adopted and evidence-based method for detecting lameness in dairy herds. It involves the visual assessment of individual cow gait on a standardised scale.

The most commonly used system is the 1–5 scale, where:

Score	Description	Action
1	Normal gait. Even stride, flat back, full weight-bearing on all limbs.	None
2	Mildly abnormal. Slight arching of the back when walking.	Monitor closely
3	Moderately lame. Arched back when walking and standing; shortened stride.	Examine and treat
4	Lame. Arched back; reluctance to bear weight on one limb.	Treat promptly
5	Severely lame. Refuses to bear weight; may not leave lying area.	Urgent treatment

For monitoring purposes, score the entire herd at least monthly and record results by animal ID, housing group, parity and lactation stage. A herd lameness prevalence above 10% (scores 3–5) indicates that investigation and management changes are warranted.

Hoof trimming records

Each routine or remedial trimming event is an opportunity to collect hoof health data. Recording the type, severity and location of lesions found — sole ulcer, white line disease, digital dermatitis, heel horn erosion — at each trimming builds a herd-level picture that locomotion scoring alone cannot provide.

Useful analyses from trimming records include:

• Lesion prevalence by housing group (identifies management or flooring issues)
• Lesion distribution by parity (identifies transition period problems)
• Seasonal patterns (identifies nutrition or slurry management issues)
• Response to treatment over time

Several hoof trimming software platforms allow data entry at the trimming chute and generate automated herd reports. Many trimming contractors now offer digital record-keeping as part of their service.

Milk yield as an indirect signal

Lame cows eat less, move less, and produce less milk. In herds with individual cow metering in the milking system, an unexplained yield drop of more than 10% sustained over 3–5 consecutive milkings can serve as an early lameness indicator — often appearing before the gait change is visible to a human observer.

Automated flags from milking system software, combined with a follow-up locomotion check, can catch lameness 1–2 weeks earlier than visual monitoring alone. Earlier treatment typically reduces lameness duration and the severity of yield loss.

Lying time and activity monitoring

Lame cows alter their behaviour to reduce pain from standing on hard floors: they may spend more time lying, or conversely stand for extended periods in a single position. Automated pedometer or accelerometer systems — increasingly standard in robotic milking installations — can quantify these behavioural changes at the individual animal level.

Step-count thresholds vary by system but a drop of more than 20–30% in daily steps relative to group average, sustained for more than two days, is commonly used as a lameness alert trigger.

Setting up a monitoring programme: step by step

The future: continuous sensor monitoring

The next generation of hoof health monitoring integrates sensing directly into the preventive solution. DierVitaal's HoofSense — currently in Phase 2 development — embeds a sensor module inside the HoofGuard shoe, enabling continuous, automated collection of hoof health and welfare data at the individual animal level.