Effects of dietary Korean garlic extract aged by <i>Leuconostoc mesenteroides</i> KCCM35046 on growth performance, digestibility, blood profiles, gas emissions, and microbiota in weanling pigs
Bibliographic record
Abstract
A total of 150 crossbred pigs [(Duroc × Yorkshire) × Landrace; body weight (BW) = 5.74 ± 1.15 kg; weaned at day 21 after birth] were assigned to one of five dietary treatments (six pens per treatment and five pigs per pen) by BW and sex (two barrows and three gilts) for a 6 wk experiment. The pen was considered the experimental unit in the statistical model. Treatments were corn–soybean meal diets supplemented with 0.0033% tiamulin as well as 0%, 0.05%, 0.10%, or 0.20% fermented garlic (FG). The average daily gain, average daily feed intake (ADFI), and feed conversion ratio were linearly (p < 0.05) increased by FG inclusion during days 21–42 and days 0–42. Dietary supplementation of FG linearly increased (p < 0.05) the coefficient of apparent total tract digestibility of dry matter, nitrogen, and gross energy as well as blood immunoglobulin G concentration during week 6. The fecal ammonia (NH 3 ), total mercaptan emissions, and Escherichia coli counts were linearly (p < 0.05) reduced by FG in the diet. Dietary supplementation of FG increased (p < 0.05) ADFI during days 21–42 and days 0–42 and reduced (p < 0.05) fecal NH 3 emissions compared with pigs fed tiamulin. In conclusion, the results indicate that FG can enhance growth performance and digestibility, and reduce fecal E. coli counts as well as fecal gas emissions in weanling pigs.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".