Effect of Saccharomyces cerevisiae Live Cells on In Vivo Digestibility and Nitrogen Excretion in Lactating Buffaloes
Bibliographic record
Abstract
The effects of dietary inclusion of Saccharomyces cerevisiae culture on intake, in vivo digestibility, and fecal nitrogen excretion were examined in dairy buffalo. Forty lactating buffalo cows were equally divided into Control and Saccharomyces groups, balanced for milk production, parity, and days in milk. Two subsequent 16-d experimental phases were carried out. For both groups during the first experimental period a TMR based on maize silage (maize-TMR) was used, whereas in the second period an alfalfa haylage (alfalfa-TMR) was administered to the animals. In each experimental period, Saccharomyces group was supplemented with 50 g/head/day of yeast (Biocell®, Limena, Padova, Italy), corresponding to 20×109 CFU/head/day Saccharomyces cerevisiae NCYC Sc47 strain. The yeast supplement was top-dressed onto the morning feed. Dry matter intake (DMI) was assessed for 6 consecutive d on group basis, by the difference between feed offered and refused. In the last 3 days of experimental period in vivo digestibility was determined by using acid-insoluble ash (AIA) as an intrinsic digestibility marker. Saccharomyces supplemented buffalo cows presented greater DMI of maize-TMR, whereas no statistical differences between the groups were observed for alfalfa-TMR. Saccharomyces supplementation significantly improved in vivo digestibility of both TMR. Fecal nitrogen excretion was significantly reduced by the use of yeast supplementation. Results suggest that the inclusion of Saccharomyces cerevisiae culture in the diet for lactating buffaloes can be recommended for its effects on cow’s digestive efficiency and fecal nitrogen excretion.
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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 | 0.001 |
| 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".