Short communication: Associations between teat dimensions and milking-induced changes in teat dimensions and quarter milk somatic cell counts in dairy cows
Bibliographic record
Abstract
Although many studies have examined the relation between a wide range of factors and quarter milk somatic cell count (qSCC), including physical characteristics of the teat and changes in teat tissue due to milking, the effect of short-term, milking-induced changes in teat dimensions on somatic cell count has not yet been investigated. To identify teat dimensions and milking-induced changes in teat dimensions associated with qSCC, we conducted a longitudinal study (n(herds)=6, n(cows)=72, n(measurements)=12). Parity, stage of lactation, teat barrel diameter, and changes in teat barrel diameter during milking were identified as factors associated with qSCC. Teats with wider barrels had higher qSCC. Negative changes in the diameter of the teat barrel during milking (i.e., thinner teats postmilking compared with premilking) were associated with lower qSCC, whereas positive changes (i.e., thicker teats postmilking compared with premilking) were associated with higher qSCC. Selection toward more optimal teat characteristics may therefore result in improved milk quality and udder health. However, a threshold might exist for the maximum reduction in teat barrel diameter below which udder health is negatively influenced. If so, changes in teat barrel diameter might serve as an indicator for suboptimal milking and incorrect choice of teatcup liner or milking machine settings and thus help improve management of the herd.
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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".