Investigating temporal microbial dynamics in the rumen of beef calves raised on two farms during early life
Bibliographic record
Abstract
Manipulation of the rumen microorganisms during early life has emerged as a promising strategy for persistent improvement of nutrient utilisation and lowering of enteric methanogenesis. However, limited understanding of the dynamics of rumen microbial colonisation has prevented the identification of the optimum timeframe for such interventions. The present study used DNA amplicon sequencing of the 16S rRNA gene to assess bacterial and archaeal dynamics in the rumen digesta of beef calves raised on two farms from birth through to post-weaning. The colonisation patterns of both communities were influenced by age (P < 0.05) and farm of origin (P < 0.05). The bacterial community exhibited an age-wise progression during the first month of life which appeared to be partly related to diet, and settled by day 21, indicating that this may mark the boundary of a timeframe for intervention. The archaeal community appeared less sensitive to age/diet than bacteria in the first month of life but was more sensitive to farm environment. These data show that ruminal microbial composition during early life is driven by calf age, diet and local environment, and provide important fundamental information concerning the ontogeny of the rumen microbiota from birth.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".