Production performance and oxidative stability of milk enriched with <i>n</i>-3 fatty acids in Holstein cows fed flaxseed meal
Bibliographic record
Abstract
Six Holstein cows were used in a replicated 3 × 3 Latin Square design to investigate the effect of flaxseed meal on production performance and oxidative stability of milk enriched with n-3 fatty acids. Flaxseed oil was abomasally infused to all cows at 243 g·d−1 which increased milk concentration of α-linolenic acid from 3.08 (pretrial) up to 53.0 mg·g−1 fat. On a dry matter basis, dietary treatments were canola meal (CM; 165 g·kg−1), flaxseed meal (FM; 165 g·kg−1), and CM (165 g·kg−1) + vitamin E (VE; 300 IU·kg−1). Pre-planned contrasts were CM vs. FM and VE vs. FM. No difference was observed on dry matter intake, milk production, and yield of milk protein, and lactose for any of the contrasts evaluated. However, fat yield tended to be lower with FM relative to CM but was not different from VE. Milk enterolactone concentration was 6.8-fold greater with FM than with CM, whereas milk tocopherol was increased by 3.4-fold with VE relative to FM. Increased concentrations of enterolactone or tocopherol were not efficient to significantly modify the time course of appearance of propanal, hexanal, hept-cis-4-enal, and 1-octen-3-one in milk during storage evaluated for 10 d at 4 °C.
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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 | 0.001 | 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 | 0.001 | 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".