Evaluation of plant extracts for tomato late blight control in Cameroon
Bibliographic record
Abstract
Abstract Late blight caused by Phytophthora infestans is the most important disease of tomato in Cameroon. Three experiments are conducted to assess the fungitoxicity of methylene chloride/methanol leaf extracts of seven plants on P. infestans development . The extracts (3%) are evaluated for sporangial germination inhibition, latent and incubation periods, lesion size and late blight severity on tomato plants. Inoculated leaflets and plants are incubated in the greenhouse at 21°C during the day and 18°C during the night, with a 12 h photoperiod and for 7 days. Sporangial germination is significantly inhibited by Tephrosia vogelli and Entandrophragma angolense extracts, while disease progression is highly limited by Ageratum houstonianum, Tephrosia vogelli, Clausena anisata and Entandrophragma angolense extracts. The fungitoxic effects of some of the extracts is comparable to synthetic fungicides, metalaxyl and maneb, used as positive controls, indicating their potential as components of an integrated pathogen management programme for tomato late blight. Eucalyptus saligna , Deinbollia saligna and Garcinia smeathmannii extracts have low efficiency.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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) | 0.002 | 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".