Molecular and morphological characterization of <i>Moniliophthora roreri</i> isolates from cacao in Ecuador
Bibliographic record
Abstract
Moniliophthora roreri – the causal agent of frosty pod rot (FP) disease – is one of the most devastating cacao pathogens in Ecuador and worldwide. The centre of diversity of this pathogen is believed to be in areas near Ecuador or Colombia but molecular, morphological and growth studies of this pathogen in Ecuador are scarce. Monosporic cultures of M. roreri from the six cacao-producing regions of Ecuador, including Esmeraldas, El Oro, Los Rios, Guayas, Manabi and Amazon were obtained. Morphological characteristics, such as mycelial growth, colony shape, colour and texture, as well as type and size of meiospores, were recorded for each isolate. Molecular variation was assessed by direct sequencing the ITS1, 5.8 s, and ITS2 rDNA regions as well as by RFLP analyses on the same regions. Results showed little variation of morphological traits across isolates. Mycelial growth rate fitted to a Gompertz model with parameters estimates that were significantly affected by mycelial colour. Molecular analysis data showed an average polymorphism of 48.98% and Shannon’s diversity index of 0.21. Multiple discriminant analyses carried out on the RFLP patterns showed a 100% accurate grouping by both sampling province and mycelial colour.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".