Molecular Characterization of Isolates of Fusarium spp. Associated With Wilt in Capsicum spp.
Bibliographic record
Abstract
Fusarium is a diverse and heterogeneous fungi genus. Its wide genetic variability and similarity in morphological characteristics hinder the identification of species of this genus. Identifying Fusarium species is difficult due to the genus. Several molecular methods have been useful for differentiating these species, and the amplification of internal transcribed spacer (ITS) regions of the fungus ribosomal DNA has been successfully used, since ITS are preserved regions of the DNA that assists in distinguishing species. The objective of this work was to collect and characterize isolates of Fusarium spp. associated with wilt symptoms in Capsicum spp. in the biomes of the state of Mato Grosso, Brazil. Were collected tissue samples of plants with wilt symptoms. The DNAs of the Fusarium spp. found were extracted, and subjected to polymerase chain reaction, using the primers ITS1 (5’TCCGTAGGTGAACCTGCGG-3’) and ITS4 (5’-TCCTCCGCTTATTGATATGC-3’). Subsequently, the sequencing was performed. The resulting sequences were, five Fusarium species were found F. solani, F. oxysporum, F. equiseti, F. incarnatum, F. chlamydosporum, predominating F. solani and F. equiseti.
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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 | 0.000 | 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 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".