<i>Saccharomyces cerevisiae</i> live culture affects rapidly fermentable carbohydrates fermentation profile in precision-fed dairy heifers
Bibliographic record
Abstract
Lascano, G. J., Heinrichs, A. J. and Tricarico, J. M. 2015. Saccharomyces cerevisiae live culture affects rapidly fermentable carbohydrates fermentation profile in precision-fed dairy heifers. Can. J. Anim. Sci. 95: 117–127. The experimental objective was to determine the dose effect of live yeast culture (YC) on rumen fermentation profiles and microbial total cell concentrations in precision-fed dairy heifers exposed to different rapidly fermented carbohydrates diets. A split-plot design with starch level as the whole plot and YC dose as sub-plot was administered in a four-period (21 d) 4×4 Latin square balanced for carryover effects. Eight Holstein heifers were allocated to two starch treatments (28% starch: HS; 17% starch: LS) and to a sequence of YC doses (0, 10, 30, and 50 g d−1). Total volatile fatty acid concentration was not different among YC doses or starch level, but molar proportions of propionate, isobutyrate, and isovalerate were higher for HS than for LS. Mean ruminal ammonia concentration was increased in HS-fed heifers. Heifers fed HS had an increased number of viable, non-viable, and total fluid-associated bacteria, particle-associated bacteria, and total bacteria. Increasing YC dose linearly beyond 10 g d−1 decreased viable and total fluid-associated bacteria. The effects of various YC doses on ruminal fermentation products, pH, and microbial total cell concentrations indicate diet dependency between source of readily available carbohydrates and YC addition in dairy heifers.
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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) | 0.000 | 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".