A joint research project by the Council on Dairy Cattle Breeding (CDCB) and the University of Minnesota has shown that lameness in dairy cows is partly genetic, not just a management issue. This means farmers can breed cows that are naturally less prone to lameness.

Why this breakthrough matters
This research was possible because of AI-based CattleEye video systems, distributed worldwide by GEA, which record millions of daily mobility scores — something manual scoring could never achieve.
The huge, objective dataset finally allows scientists to measure the heritability of mobility, estimated at 10–30%.
Two new genetic traits being developed
- Hoof Health – based on lesion data from professional hoof trimmers
- Mobility – a new trait using AI-generated mobility scores from CattleEye
These traits could soon become part of national breeding indexes.
Impact on dairy farming
Lameness costs farms $350–400 per cow per year, due to:
- Lower milk yield
- Poor fertility
- Shorter herd life
- Treatment costs
With genetic selection:
- Cows will be less likely to become lame
- Herds will be healthier, more fertile, and longer-lasting
- Farmers will rely less on treatment and more on prevention through genetics
A major shift in dairy breeding
By integrating CattleEye data directly into national breeding programs, the project creates a closed loop between barn, data, and genetics.
Within 3–5 years, farmers may be able to choose bulls and heifers with much lower lameness risk.
Read More: Rajasthan Dairy Sector Focuses on BMCs
Why GEA calls it “transformational”
Instead of just detecting lameness early, the industry can now:
- Genetically reduce lameness across generations
- Improve welfare and economics permanently
- Use AI + big data + genomics for sustainable herd improvement
Background
- CDCB–UMN project started in July 2021
- Partly funded by FFAR
- CattleEye now monitors 200,000+ cows globally
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