Effect of the dietary supplementation of fructooligosaccharides and <i>Bifidobacterium longum</i> to early-weaned pigs on performance and fecal bacterial populations
Bibliographic record
Abstract
Two experiments were conducted to evaluate the effect of administration of fructooligosaccharides (FOS) and Bifidobacterium longumon growth performance and fecal bacterial populations in pigs weaned at 18 d of age. In exp. 1, two groups of 20 pigs each were fed diets containing 0 or 0.5% FOS for 21 d. On days 1 and 3, pigs receiving FOS were administered an oral dose of 1010 B. longumcells. During week 1, average daily gain was higher and feed efficiency was improved (P < 0.05) in pigs fed FOS and bifidobacteria relative to the control. On day 7, supplemented pigs had reduced numbers of total anaerobes and clostridia, and increased numbers of bifidobacteria in faeces (P < 0.05). In exp. 2, 80 pigs were divided into four groups of 20 animals each in a 2 x 2 factorial design. Main effects included FOS supplementation (0 or 0.5% of diet) and B. longum supplementation (0 or 107 cells per gram feed). FOS supplementation reduced growth while B. longum supplementation increased growth (P< 0.05). On days 12 and 19, serum insulin-like growth factor I (IGF-I) was reduced with FOS supplementation and increased with B. longum supplementation (P < 0.05). It was concluded that the continuous administration of bifidobacteria provided a beneficial effect on growth parameters studied in this experiment. Key words: Pigs, fructooligosaccharides, bifidobacteria, Bifidobacterium longum, performance
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".