Milk concentration of the mammalian lignan enterolactone, milk production, milk fatty acid profile, and digestibility in dairy cows fed diets containing whole flaxseed or flaxseed meal
Bibliographic record
Abstract
A total of 24 lactating Holstein cows averaging 620 (SE=29) kg of body weight were allotted at week 17 of lactation to eight groups of three cows blocked for similar days in milk to determine the effects of feeding two sources of the plant lignan precursor secoisolariciresinol diglucoside, whole flaxseed and flaxseed meal, on concentrations of the mammalian lignans (enterodiol and enterolactone) in milk. Feed intake, digestion, milk production and milk composition were also determined to compare the use of whole flaxseed and flaxseed meal for milk production. Cows within each block were assigned to one of the three isonitrogenous and isoenergetic total mixed diets: no flaxseed product; 10% flaxseed meal; or 10% whole flaxseed in the dry matter. The experiment was carried out from week 17 to week 21 of lactation and diets were fed at ad-libitum intake. The mammalian lignan, enterodiol, was not detected in the milk of cows. Cows fed whole flaxseed and flaxseed meal had greater concentrations of enterolactone in milk than those fed the control diet. Feed intake, milk production and milk composition were also similar for all diets, indicating that both flaxseed meal and whole flaxseed are suitable feed ingredients for milk production of cows in mid lactation. The results provide new information on the conversion of plant secoisolariciresinol diglucoside from two flaxseed products into mammalian lignans in dairy cows.
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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) | 0.000 | 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".