Effect of dietary supplementation of fermented garlic by <i>Leuconostoc mesenteroides</i> KCCM35046, on growth performance, blood constituents, nutrient digestibility, fecal microflora, and fecal scores in sows and their piglets
Bibliographic record
Abstract
Eighteen lactating sows (Landrace × Yorkshire) were used in an experiment to determine the effects of fermented garlic by Leuconostoc mesenteroides KCCM35046 on growth performance, blood constituents, nutrient digestibility, fecal microflora, and fecal scores in sows and their piglets. The experiment was started before farrowing 30 d to weaning, and sows were randomly assigned to the following dietary treatments: control basal diet (CON) and the CON + 0.1% or 0.2% fermented garlic (FG). During the lactation period, sows had free access to feed and water. At farrowing day and weaning (day 28), body weight (BW) loss of sows reduced linearly (P = 0.042; P = 0.006, respectively) in FG diets. There was a linear improvement in piglets’ BW with increasing dietary FG levels at weaning (P = 0.033). Piglets fed the diets with the FG linearly increased the average daily gain (ADG) at the 3rd and 4th weeks (P = 0.041; P = 0.002, respectively). Overall, the ADG of piglets linearly increased when lactating sows fed the diets with FG supplementation (P = 0.004). Red blood cell concentrations linearly decreased (P = 0.004) in sows fed dietary FG supplementation at the weaning day. Dietary inclusion of the FG tended to increase the fecal Lactobacillus population and decrease Escherichia coli population of piglets at weanling day (P = 0.075; P = 0.051, respectively). In conclusion, the results of this study indicated that dietary supplementation of FG (0.1% and 0.2%) improved growth performance in sows and their piglets.
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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) | 0.000 | 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".