Evaluation of correlation between crude protein levels and different space allowances under sawdust bed feeding system on growth performance, nutrient digestibility, blood profiles, and odour emission in growing–finishing pigs
Bibliographic record
Abstract
A total of 96 growing pigs (25.11 ± 0.69 kg) were used in this 14 wk feeding trial to evaluate the correlation between crude protein (CP) levels and different space allowances under sawdust bed feeding system on performance in growing–finishing pigs. Pigs were blocked with the following factors: (i) standard space (SS) allowance or wide space (WS) allowance and (ii) basal diet [control (CON)] or 10% reduction in CP of basal diet. The average daily feed intake was significantly increased (P < 0.05) in pigs fed with the CON in the SS. Pigs fed the 10% reduced CP diet in SS significantly increased (P < 0.05) the apparent total tract digestibility of nitrogen and dry matter. The blood urea nitrogen and cortisol concentrations of blood were significantly decreased (P < 0.05) in pigs fed with the 10% reduced CP diet in the SS. The ammonia emissions were significantly decreased (P < 0.05) in the pigs fed the 10% reduced CP diets. The fecal Lactobacillus concentration increased in pigs fed the 10% reduced CP diets in WS. In conclusion, the pigs fed with the 10% reduced CP diet in the SS reduced production cost and odour emissions, improved nutrient digestibility, fecal microbiota, and blood profile in growing–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) | 0.000 | 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 | 0.001 |
| 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".