Endophytic Bacterial and Fungi Associated to Banana Leaves (Musa spp.) Cultivated Under Organic Management
Bibliographic record
Abstract
Banana as a domesticated plant has a long evolutionary history of cultivation and has become one of the most important fruit in a world widely market, devoted to its high nutritional characteristics. However, its biology and association with microbes are poorly understood. Then the objective of the present study was isolate the cultivable endophytic bacterial and fungal community associated to leaves of an organic banana plantation in the Brazilian Amazon state of Roraima. A total of 24 fungi and 27 bacteria isolates were selected. The taxonomical classification showed that the cultivable endophytic fungi community is affiliated to the following 11 genera: Aspergillus, Peniophora, Meyerozyma, Saccharicola, Hypocreales, Nigrospora, Byssochlamys, Periconia, Myrothecium, Acrocalymma and Peroneutypa. Regarding the bacterial isolates 13 genera were found: Serratia, Pantoea, Streptococcus, Neisseria, Bacillus, Arsenicicoccus, Sphingobacterium, Herbaspirillum, Lactococcus, Variovorax, Pseudorhodoferax, Stenotrophomonas and Brevibacterium. Comparing the endophytic microorganisms isolated in the present research with previous studies already published, some new genera and species were detected. This could be due to use of organic cultivated bananas without the utilization of fertilizers and other chemical products. This could provide the isolation of bacteria and fungi which are benefic to their hosts but not yet previous found in banana.
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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 | 0.001 | 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) | 0.001 | 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".