Interaction of Sorting Behavior with the Health and Production of Early Lactation Dairy Cows
Bibliographic record
Abstract
Through a study where 41 multiparous Holstein cows were fed 1 of 2 diets varying in wheat straw particle size immediately after calving, this thesis sought to identify the effect of straw particle size on the feed sorting behavior, health, and production of early lactation dairy cows. It was hypothesized that a reduction in the wheat straw particle size would minimize sorting behavior, which would maintain intake and rumination while stabilizing reticulorumen pH. Cows fed the shorter wheat straw particle size sorted the ration to increase intake of physically-effective fiber, which may have contributed to a more stable reticulorumen pH and a tendency for greater milk production. Whereas cows fed the longer straw particle size sorted against the most physically-effective components of the diet and suffered from greater variability in time spent below a reticulorumen pH of 5.8 as well as time spent ruminating. In a secondary analysis, cows were further categorized by risk for SARA as either high risk or low risk. Cows fed longer straw sorted against long particle regardless of risk category, while cows fed shorter straw did not sort these particles. High risk cows fed the shorter straw diet sorted to increase intake of physically-effective fiber, possibly in an attempt to ameliorate the effects of low reticulorumen pH. This study suggests that reducing wheat straw particle size in the diets of early lactation dairy cows may stabilize reticulorumen pH and increase milk production by minimizing sorting behavior, which maintains intake and rumination.
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 | 0.001 |
| 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 | 0.000 |
| 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".