Effect of dietary transition at dry off on the behavior and physiology of dairy cows
Bibliographic record
Abstract
This study (1) investigated the effect of dietary transition at dry off on the behavior and physiology of Holstein dairy cows and (2) evaluated the efficacy of utilizing reductions in dietary nutrient density and milking frequency to mediate the dry-off process. Forty-eight cows were dried off over a 5-d period approximately 60 d before their expected calving dates. At the start of dry off (d 1), cows were randomly assigned to 1 of 2 total mixed rations that differed in nutrient density: higher nutrient density (HND; n = 24) and lower nutrient density (LND; n = 24). During dry off, cows were milked 1×/d on d 1, 2, and 3 and a final time on d 5. Milk yield, feeding behavior, rumination, lying behavior, and reticulorumen pH were monitored electronically and feed samples were collected to determine feed sorting. Blood samples, body condition scores, and body weights were taken periodically. Across treatments, milk yield was reduced by approximately 10 kg/d during dry off, with cows fed the LND diet producing 0.9 kg less milk at the time of dry off compared with cows fed the HND diet. Cows fed the LND diet consumed 2.2 kg less dry matter per day, fed at a slower rate, spent 15.7 min more feeding, and sorted to a greater extent for the smaller, more nutrient dense components of the diet compared with cows fed the HND diet. Despite sorting activity, cows fed the LND diet ruminated 3.3 min more per kilogram of dry matter consumed and had a mean reticulorumen pH 0.07 units higher compared with cows fed the HND diet. Following the start of dry off, cows spent approximately 5% more of their free time lying down. Dietary transition and dry off similarly affected the energy balance and inflammatory response of cows, although these parameters varied by day after the start of dry off. The results of this study indicate that the LND diet more effectively reduced milk production before dry off compared with the HND diet while not substantially altering cow physiology.
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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 | 0.001 | 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".