First report of <i>Nigrospora lacticolonia</i> causing leaf spot of <i>Bougainvillea spectabilis</i> in China
Bibliographic record
Abstract
Bougainvillea spectabilis is an ornamental shrubby vine widely distributed in tropical and subtropical regions of China. In September 2020, a leaf spot of B. spectabilis was observed on Yongxing Island of Sansha City, Hainan Province. At a disease incidence of >30%, this leaf spot seriously reduced the ornamental value of affected plants. The typical symptoms included lesions consisting of circular or subcircular, grey pale centres with dark brown borders surrounded by diffused yellow margins. Fungal cultures isolated from colonies growing from surface-sterilized leaf tissues on potato dextrose agar exhibited similar morphological characteristics. The fungus was identified as Nigrospora lacticolonia based on its morphological characteristics and phylogenetic analysis using the internal transcribed spacer (ITS) region of rDNA, β-tubulin (TUB2) and translation elongation factor 1-alpha (TEF1-α) gene sequences. Pathogenicity tests showed that the fungus could infect B. spectabilis, and it was successfully re-isolated from inoculated leaf tissues, fulfiling Koch’s postulates. This is the first report of N. lacticolonia causing leaf spot on B. spectabilis.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".