Lactational performance of cows fed extruded flaxseed in commercial dairy herds
Bibliographic record
Abstract
The objective of the current on-farm trial was to assess the impact of feeding extruded flaxseed on milk yield and composition. Thirty commercial dairy herds located in the province of Québec, Canada were recruited. The experiment began with a baseline period of 2 months during which each cow received their regular diets. Data collected during this period were used as covariate. Farms were then randomly allocated into a control group (n = 15; 767 cows) which continued to receive their regular diets, or a treatment group (n = 15; 863 cows) which received diets supplemented with extruded flaxseed (0.7 kg/d per cow) during an experimental period of 7 months. Significance was declared at P ≤ 0.05 and tendencies at 0.05 < P ≤ 0.10. Feeding extruded flaxseed did not affect feed intake but increased milk yield by 1.1 kg/d per cow, and feed efficiency by 6.5%. Dietary addition of extruded flaxseed increased milk fat (tendency) and lactose yield, whereas milk protein yield was similar between treatments. Estimated CH4 intensity were reduced by 1.3 g/L of milk (−9.2%) in herds receiving extruded flaxseed. Feeding extruded flaxseed increased milk fat concentration of cis-9, cis-12, cis-15 18:3 and total n-3 fatty acids. Results of the current on-farm trial confirm observations made under experimental conditions that feeding moderate levels of extruded flaxseed improves production performance in dairy cows.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".