Effects of dietary <i>n</i>-6/<i>n</i>-3 polyunsaturated fatty acids ratio on growth performance, apparent digestibility, blood lipid profiles, fecal microbiota, and meat quality in finishing pigs
Bibliographic record
Abstract
The effects of dietary omega-6 (n-6) to omega-3 (n-3) polyunsaturated fatty acid (PUFA) ratios on growth performance, digestibility, blood lipid profiles, fecal microbial counts, and meat quality in finishing pigs were examined by using linseed and fish oil. A total of 140 crossbred finishing pigs [(Landrace × Yorkshire) × Duroc] were used in a 10 wk trial. Pigs were blocked based on body weight (BW) and sex and randomly allotted to four dietary treatments formulated to have n-6/n-3 ratios of 5/1, 10/1, 15/1, and 17/1 (control). Throughout the experiment, BW, average daily gain, and average daily feed intake were significantly (P < 0.05) increased with a decreased ratio of n-6/n-3 PUFA. Energy digestibility and fecal Lactobacillus count showed a linear (P < 0.05) increase in week 10. The high-density lipoprotein cholesterol and blood triglyceride concentrations increased (P < 0.1) during week 10. However, low-density lipoprotein cholesterol was reduced (P < 0.05) linearly during week 5 and week 10 with a reduction in dietary n-6/n-3 ratio. This study provides a basis for future research on altering n-6/n-3 ratio by using linseed oil and refined fish oil in finishing pigs.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".