Milk production responses of primiparous and multiparous dairy cows to dose of conjugated linoleic acid consumed in rumen inert form
Bibliographic record
Abstract
Conjugated linoleic acid (CLA) has the potential to be used as a dietary means of manipulating milk fat production of dairy cows to meet specified short-term targets, as in a supply-managed industry. An experiment was conducted to evaluate the dose-response to calcium salts of CLA fed as a top-dress on a corn- and alfalfa-based TMR. In two 5 × 5 Latin squares of 28-d periods, five primiparous and five multiparous cows were fed 0, 22, 45, 67 or 178 g d-1 CLA (29% trans-10, cis-12) as a calcium salt. Results from one multiparous cow on the 178 g d-1 treatment were removed from statistical analysis because milk production fell to 1.2 kg d-1 by the end of the period. On average, milk, lactose and protein yields increased at the lower doses of CLA and decreased to control levels at the highest dose. Milk fat yield declined progressively from 876 to 770, 689, 676 and 543 g d-1 on the five doses. Net energy balance of cows increased linearly from -1.5 Mcal d-1 on the control to 2.0 Mcal d-1 at 178 g d-1 CLA. The percentage depression in milk fat yield at different doses of trans-10, cis-12 CLA was described by the equation y = 54/(1 + 22.8/dose). Comparison with published literature suggested that feeding calcium salts of CLA was 30% as effective in depressing milk fat production as an abomasal infusion, due to rumen biohydrogenation and intestinal indigestibility.Key words: Milk composition, cattle, diet
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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 | 0.000 | 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".