Effect of dietary inclusion of antioxidants and organic trace minerals on growth performance, carcass characteristics, and meat quality of finishing pigs with pre-slaughter transportation
Bibliographic record
Abstract
A total of 320 pigs (body weight = 98 ± 4 kg) were assigned to four treatments, with eight replicates (pens) per treatment. Pigs were fed the following diets: a control diet (CON), the CON diet plus antioxidant blends (AOX), organic trace minerals (OTM), or both (AOX + OTM). After the feeding trial, two pigs from each pen were selected for slaughtering right away or after transportation. The inclusion of AOX, OTM, or AOX + OTM had no significant effect on feed intake, average daily gain, and feed efficiency compared with CON (P > 0.05). The pre-transportation significantly reduced the pH value of loin meat at 24 h post mortem and leg meat at 45 min post mortem (P < 0.05). The pigs in the AOX, OTM, and AOX + OTM group had significantly lower plasma malondialdehyde (MDA) content than the CON group (P < 0.05). Pre-transportation resulted in significantly higher meat MDA contents (P < 0.05), clearly influencing the oxidative stress of pigs. The inclusion of antioxidant blends or organic trace minerals had no significant effect on the growth performance and antioxidant capacity of 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 | 0.000 |
| 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 | 0.000 |
| 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".