Effect of carbohydrases on growth performance, nutrient digestibility, blood profiles, and fecal microbiota in weanling pigs fed reduced energy diet
Bibliographic record
Abstract
This study was conducted to evaluate the effect of carbohydrases on growth performance, nutrient digestibility, blood profiles, and fecal microbiota in weanling pigs fed reduced energy diet. A total of 160 crossbred [(Yorkshire × Landrace) × Duroc)] weanling pigs with an initial body weight (BW) of 7.23 ± 1.08 kg were used in this 42 d trial. Pigs were randomly allocated in one of the following four dietary treatments: (1) CON, basal diet [net energy (NE) 2545 kcal kg−1]; (2) LE, low-energy diet (NE 2470 kcal kg−1); (3) LEC1, LE + 0.1% carbohydrase; and (4) LEC2, LE + 0.2% carbohydrase based on the sex and BW. There were eight replications (pens) per treatment with five pigs (two male and three female) per pen. During day 0–7, pigs fed with LE diet had lower (P < 0.05) average daily gain (ADG) and average daily feed intake than those fed with CON and LEC2 diets. LE group reduced (P < 0.05) ADG throughout the experiment compared with CON and LEC2 groups. LE group reduced (P < 0.05) the digestibility of dry matter, nitrogen, and gross energy compared with LEC2 diet. Taken together, LE diet caused detrimental effects on growth performance and nutrient digestibility in weanlings, whereas the addition of carbohydrases (0.2%) partially counteracted these negative effects.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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".