Treatment and post-treatment effects of dietary supplementation with safflower oil and linseed oil on milk components and blood metabolites of Canadian Holstein cows
Bibliographic record
Abstract
The treatment and residual effects of linseed oil (LSO) and safflower oil (SFO) supplementation on milk and blood metabolites of cows was investigated. Twenty-six cows were grouped according to parity and days in milk and assigned equally to one of two treatments: a control diet + 5%SFO or 5%LSO for 28 days (treatment period, TP). The TP was preceded by a control period of 28 days (all animals on control diet). After treatment, animals were returned to control diet for 28 days (posttreatment period, PTP). Blood and milk samples were collected weekly. Feed intake decreased with LSO and SFO (p <.05), while body weight (BW) increased steadily (p <.0001) throughout. Non-esterified fatty acid (NEFA) and triacylglyceride (TAG) increased (p <.0001) during treatments. Beta-hydroxybutyric acid increased (p <.0001) with SFO only. Milk urea nitrogen (MUN) and fat decreased (p <.0001) with both supplements. NEFA/MUN and milk fat content returned to control levels one week or three weeks after treatment, respectively. TAG did not return to initial concentrations by the end of PTP. The residual effects of feeding LSO or SFO on the physiology of cows were still active up to three weeks after cessation of treatments.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".