Short communication: Risk of severe heel erosion increased with parity and stage of lactation in freestall-housed dairy cows
Bibliographic record
Abstract
Heel erosion is the most prevalent hoof lesion in housed dairy herds, particularly in freestall facilities. It is associated with hoof contact with manure slurry and abrasive floors. The objective was to assess changes in the risk of heel erosion from the dry period to mid lactation in primiparous and multiparous dairy cows. Nineteen pregnant primiparous cows, 22 late-lactation multiparous cows (parity=3.2+/-1.4; days in milk=221+/-38), and 16 nonlactating, pregnant multiparous cows (parity=3.7+/-1.4) housed in a freestall barn with concrete flooring were followed until mid lactation. The hind hooves of all the cows were examined approximately every 7 wk and heel erosion was scored. Multiparous cows more likely had heel erosion than primiparous cows (odds ratio=11.0; 95% confidence interval=3.7, 32.7). Time relative to calving showed a significant quadratic effect, revealing that the risk of heel erosion increased more rapidly as lactation progressed. Survival analysis showed that multiparous cows had a higher relative risk of developing heel erosion than primiparous cows (hazard ratio=3.4). No cows improved between early and mid lactation, but 18 cows worsened. In conclusion, stage of lactation and parity were major risk factors for severe heel erosion in dairy cattle housed in freestalls.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".