Temporal changes in milk conjugated linoleic acidfor cows fed a pasture- or conserved-forages-based diet and supplemented with fish oil and sunflower oil
Bibliographic record
Abstract
The objective of this experiment was to evaluate the effect of forage source on the temporal changes in milk conjugated linoleic acid (CLA). Fourteen Holstein cows were divided into two groups. One group (LOT) was fed a corn silage-alfalfa hay mix ad libitum, while the other group (PAS) grazed on alfalfa-grass pasture. Additionally, both groups were fed 8.2 kg d-1 grain supplement containing 650 g of oil composed of fish oil and sunflower oil (1:4). The concentration of cis-9, trans-11 CLA in milk fat of both diets reached maximum levels on day 3 of oil supplementation, declined during day 6, and then remained constant during the reminder of the experiment. Milk vaccenic acid (VA) and trans-10 C18:1 reached their maximum concentrations on days 3 and 6, respectively, of oil supplementation with both diets. In conclusion, the decline in milk cis-9, trans-11 CLA over time was not affected by forage source and may have resulted from an increase in formation of trans-10 C18:1 and C18:0 at the expenses of VA. Key words: Conjugated linoleic acid, milk, forage, fish oil, sunflower oil
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 | 0.000 | 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".