Impact of dietary transition at dry off on the behavior and physiology of dairy cows
Bibliographic record
Abstract
This thesis, firstly, investigated the impact of dietary transition at dry off on the behavior and physiology of Holstein dairy cows, and secondly, evaluated the efficacy of utilizing reductions in dietary nutrient density and milking frequency to mediate the dry off process and promote cow welfare. From the start of a 5-d dry off, wherein cows were milked intermittently, until 3 wk dry, cows received 1 of 2 dry cow total mixed rations which differed in nutrient density. Cows fed the dry cow diet of lower nutrient density had lower milk production at the time of dry off compared with cows fed the diet of higher nutrient density, likely as a result of dry matter intake being limited in cows fed the former, due to greater fill of the rumen. Cows fed the lower nutrient density diet fed at a slower rate, spent more time feeding, and sorted to a greater extent for the smaller, more nutrient dense components of the diet compared with cows fed the higher nutrient density diet. Regardless of sorting activity, cows fed the lower nutrient density diet spent more time ruminating per unit of dry matter consumed and had higher reticulorumen pH. Dietary transition and dry off similarly affected the energy balance and inflammatory response of cows. The results of this study indicate that the lower nutrient density diet more effectively reduced milk production before dry off, while not negatively impacting cow behavior and physiology.
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 | 0.000 |
| 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".