Potential of Cocoa Derived-Endophytic Fungi in the Biocontrol of Phytophthora Palmivora
Bibliographic record
Abstract
Cocoa (Theobroma cacao L.) is an important commodity traded worldwide.Commonly cocoa is susceptible to various diseases that reduce its productivity.One of the important diseases affecting cocoa plants is fruit rot caused by Phytophthora palmivora.The study purpose is to explore endophytic fungi in the soil rhizosphere of cocoa plantations and investigate their existence as the potential biocontrol against fruit rot pathogen P. palmivora from different areas.Rhizosphere soil contains endophytic fungi collected from the rhizosphere soil of cocoa plants in Palolo and Labuan, Central Sulawesi, Indonesia.The microbes were successfully isolated.The samples were grouped based on their respective sampling areas.The laboratory test from rhizosphere samples from different areas used dual culture and volatile compound tests.Isolation results from the two areas obtained eight isolates from Palolo identified as: Penicillium (1), Gliocladium (2), Trichoderma (2), Aspergillus (2) and unidentified (1).Six isolates from Labuan identified isolates as Trichoderma (4) and Aspergillus (2).The results obtained in the dual culture test presenting the highest inhibitor for P. palmivora are isolate T1RP3 (78.46%).In the tests, isolate T1RP3 showed the highest inhibition against P. palmivora at 78.46% in the dual culture test, while isolate T5RL3 achieved the highest inhibition at 42.19% in the volatile compound test.
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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) | 0.001 | 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".