Effects on microbial diversity of fermentation temperature (10°C and 20°C), long-term storage at 5°C, and subsequent warming of corn silage
Bibliographic record
Abstract
Objective: To evaluate the effects on microbial diversity and biochemical parameters of gradually increasing temperatures, from 5 to 25 °C on corn silage which was previously fermented at ambient or low temperature. Methods: Whole-plant corn silage was fermented in vacuum bag mini-silos at either 10 or 20 °C for two months and stored at 5 °C for two months. The mini-silos were then subjected to additional incubation from 5 to 25 °C in 5 °C increments. Bacterial and fungal diversity was assessed by PCR-DGGE profiling and biochemical analysis from mini-silos collected at each temperature. Results: A temperature of 10 °C during fermentation restricted silage fermentation compared to fermentation temperature of 20 °C. As storage temperature increased from 5 to 25 °C, little changes occurred in silages fermented at 20 °C, in terms of most biochemical parameters as well as bacterial and fungal populations. However, a fairly high number of enterobacteria and yeasts (4-5 log10 CFU g FM-1) were detected at 15 °C and above. PCR-DGGE profile showed that Candida humilis predominated the fungi flora. For silage fermented at 10 °C, no significant changes were observed in most silage characteristics when temperature was increased from 5 to 20 °C. However, above 20 °C, silage fermentation resumed as observed from the significantly increased number of LAB colonies, acetic acid content, and the rapid decline in pH and WSC concentration. DGGE results showed that Lactobacillus buchneri started to dominate the bacterial flora as temperature increased from 20 to 25 °C. Conclusion: Temperature during fermentation as well as temperature during storage modulates microorganism population development and fermentation patterns. Silage fermented at 20 °C indicated that these silages should have lower aerobic stability at opening because of better survival of yeasts and enterobacteria.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| 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".