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Routine Herd Health Data as Cow-Based Risk Factors Associated with Lameness in Pasture-Based, Spring Calving Irish

Joris R Somers1, Jon N Huxley2, Michael L Doherty3

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Summary
This summary is machine-generated.

Older cows and those losing significant body condition score (BCS) after calving are at higher risk for lameness in pasture-based dairy herds. Monitoring BCS and parity can help identify at-risk cows for improved lameness management.

Keywords:
dairy cow, lameness, risk factors, pasture, seasonal

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Area of Science:

  • Veterinary Medicine
  • Animal Science
  • Dairy Production

Background:

  • Herd-level environmental factors like stall surfaces and bedding depth are known contributors to dairy cattle lameness.
  • Pasture access can benefit cow locomotion, but grazing cattle face unique lameness risks, primarily from cow tracks.
  • Cow-based risk factors for lameness are less understood than herd-level factors.

Purpose of the Study:

  • To identify cow-based risk factors for lameness using routine herd health monitoring data.
  • To pinpoint cows at elevated risk of developing lameness within the first 150 days of lactation.

Main Methods:

  • Data collected from 10 pasture-based dairy herds, monitoring 1675 cows.
  • Multivariable logistic regression used to analyze associations between lameness status and cow-level risk factors.
  • Utilized routine herd health monitoring data and lameness records.

Main Results:

  • Cows of parity 3 and 4+ had significantly higher odds ratios (ORs) for lameness (3.92 and 8.60, respectively).
  • Maximum loss of Body Condition Score (BCS) post-calving increased lameness risk; losing >0.5 BCS resulted in an OR of 2.26.
  • Cows calving with higher BCS (≥3.25) had lower odds of lameness compared to those calving with BCS ≤2.75.

Conclusions:

  • Routine herd health monitoring data, combined with lameness records, can effectively identify management deficiencies.
  • Cow-based factors like parity and BCS changes are crucial indicators for predicting lameness risk.
  • Readily available cow-level data can inform targeted lameness management strategies in pasture-based systems.