Live yeast supplementation improves apparent nutrient digestibility of high-fibre diet in mature quarter horses
Bibliographic record
Abstract
This study aimed to evaluate the effects of live yeast (Saccharomyces cerevisiae, BioCell® S12, DBVPG 48 SF, Mazzoleni spa, Bergamo, Italy) in mature horses fed a high forage:concentrate ratio diet on apparent nutrients digestibility. Eight American Quarter Horse (475.5 kg; 8.5 years) were supplemented with S. cerevisiae (3 g/horse/d; LY) or not (CTR) in a two-periods crossover design of 28 days each, with a 7-days adaptation period, and a confinement in the last 5 days. Body weight (BW) was measured at 0, 15, 23 and 28 days for each period, and dry matter intake (DMI) determined during confinement. Individual faecal samples were collected for five consecutive days at the end of each period (23-28d). Data were analysed using a MIXED procedure for repeated measurements of SAS. No effects of S. cerevisiae supplementation were observed on BW and DMI during the whole trial. Yeast improved apparent nutrient digestibility of dry matter (58.22% vs. 53.95%; ±1.38; p < 0.05), organic matter (59.86% vs. 55.35%, ±1.38; p = 0.04), crude protein (59.71% vs. 55.09%, ±1.44; p = 0.04), neutral detergent fibre (52.53 vs. 46.65%, ±1.78; p = 0.04), acid detergent fibre (47.96% vs. 41.02%, ±2.03; p = 0.03), and cellulose (59.43% vs. 53.56%, ±1.75; p = 0.04), with a positive trend on hemicellulose (57.61% vs. 52.86%, ±1.59; p = 0.06). No significant effects were observed on apparent digestibility of crude fat, non-structural carbohydrates and digestible energy. In the present study, the administration of S. cerevisiae to mature Quarter horses on high forage:concentrate diet significantly improved the apparent nutrient digestibility, with especial remark to fibrous fractions of the diet.
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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) | 0.001 | 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 | 0.000 |
| 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".