Effects of sampling location and time, and host animal on assessment of bacterial diversity and fermentation parameters in the bovine rumen
Bibliographic record
Abstract
AIMS: To investigate, using culture-independent methods, whether the ruminal bacterial structure, population and fermentation parameters differed between sampling locations and time. METHODS AND RESULTS: The detectable bacteria and fermentation parameters in the digesta from five locations in the rumen of three cows at three time points were analysed. The PCR-denaturing gradient gel electrophoresis (PCR-DGGE) profiles were similar among digesta samples from five locations (95.4%) and three time points (93.4%) within cows; however, a lower similarity was observed for samples collected from different host animals (85.5%). Rumen pH and concentration of volatile fatty acids (VFA) were affected by time points of sampling relative to feeding. CONCLUSIONS: The detectable bacterial structure in the rumen is highly conserved among different locations and over time, while the quantity of individual bacterial species may change diurnally in response to the feeding. SIGNIFICANCE AND IMPACT OF THE STUDY: This study supplies the fundamental understanding of the microbial ecology in the rumen, which is essential for manipulation of ruminal microflora and subsequent improvement in animal production.
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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 | 0.002 | 0.003 |
| 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 | 0.001 | 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".