Establishing populations of Megasphaera elsdenii YE 34 and Butyrivibrio fibrisolvens YE 44 in the rumen of cattle fed high grain diets
Bibliographic record
Abstract
AIM: To determine whether Megasphaera elsdenii YE34 (lactic acid degrader) and Butyrivibrio fibrisolvens YE44 (alternative starch utilizer to Streptococcus bovis) establish viable populations in the rumen of beef cattle rapidly changed from a forage-based to a grain-based diet. METHODS AND RESULTS: Five steers were inoculated with the two bacterial strains (YE34 and YE44) and five served as uninoculated controls. With the exception of one animal in the control group, which developed acidosis, all steers rapidly adapted to the grain-based diet without signs of acidosis (pH decline and accumulation of lactic acid). Bacterial populations of S. bovis, B. fibrisolvens and M. elsdenii were enumerated using real-time Taq nuclease assays. Populations of S. bovis remained constant (except in the acidotic animal) at ca 10(7) cell equivalents (CE) ml-1 throughout the study. Megasphaera elsdenii YE34, was not detectable in animals without grain in the diet, but immediately established in inoculated animals, at 10(6) CE ml-1, and increased 100-fold in the first 4 days following inoculation. Butyrivibrio fibrisolvens, initially present at 10(8) CE ml-1, declined rapidly with the introduction of grain into the diet and was not detectable 8 days after grain introduction. CONCLUSION: Megasphaera elsdenii rapidly establishes a lactic acid-utilizing bacterial population in the rumen of grain-fed cattle 7-10 days earlier than in uninoculated cattle. SIGNIFICANCE AND IMPACT OF THE STUDY: The study has demonstrated that rumen bacterial populations, and in particular the establishment of bacteria inoculated into the rumen for probiotic use, can be monitored by real-time PCR.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".