Fatty Acid Profile and CLA Content of Goat Milk: Influence of Feeding System
Bibliographic record
Abstract
<p>There is great interest in producing bioethanol from biomass and there is much emphasis on exploiting The effect of pasture and of diet linseed supplementation on fatty acid profile of milk was evaluated using 45 pluriparous goats, equally divided after kidding into three homogeneous groups (H, P and L). Group H (control) and L were housed in a stall receiving alfalfa hay, while group P was led to pasture. The groups received concentrate which for group L had linseed as ingredient. Average milk yield did not statistically differ between the groups. Groups P showed significantly higher fat content than group H and L (4.62% <em>vs</em> 3.70%, and 3.90% respectively for groups P, H and L; P &lt; 0.01). On the contrary, milk from goats of group H and L had significantly higher content of lactose (4.65% and 4.61% <em>vs</em> 4.57%, respectively for groups H, L and P; P &lt; 0.05). The levels of C18:1 <em>cis9</em>, C18:1 <em>trans11 </em>and MUFA in milk were significantly (P &lt; 0.05) increased by both the pasture and linseed, while linoleic acid (C18:2) and PUFA were significantly (P &lt; 0.05) higher in group P compared either to H or to L groups. The highest values of CLAs, either as <em>t11</em> CLA and <em>t10 c12</em> CLA or as SCLA, have been registered in milk of group P, the lowest in group H. These parameters in milk of group L were significantly (P &lt; 0.05) lower or higher than those of group P and H, respectively.</p>
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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 | 0.001 | 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) | 0.000 | 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".