Acute Behavioral Effects of Regrouping Dairy Cows
Bibliographic record
Abstract
Regrouping is a common management practice on commercial dairy farms. The objectives of this study were to examine the effects of regrouping on feeding behavior, social behavior, and milk production. Eleven mid-lactation Holstein cows were individually introduced into previously established social groups. Behavior and milk production were monitored from 3 d before until 3 d after regrouping. Cows were fed a total mixed ration ad libitum twice daily. Time-lapse video was used to quantify feeding and social behavior. Cows spent approximately 15 min less time eating in the first hour following regrouping compared with the 3 d before regrouping. Cows were displaced from the feeding area on average 10 times/d before regrouping, but this value increased to more than 25 times ( +/- 2.6) on the day of mixing and gradually declined on the days following. The number of lying bouts declined from 12.2 +/- 0.9 to 10.5 +/- 0.9 on the day of regrouping; lying time showed a similar tendency. Cows initiated, on average, 7.5 +/- 1.3 allogrooming events/d over the 3 d before regrouping but this declined to 1.3 +/- 1.3 events on the day of mixing and remained lower than baseline for the following 3 d. Milk production declined from 43.4 +/- 1.5 kg/d to 39.7 +/- 1.5 kg/d on the day of regrouping, but did not differ from premixing levels on subsequent days. This study shows that regrouping can disrupt behavior and production in the hours and days following regrouping and suggests the need for future research to identify management changes that reduce these effects.
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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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".