Response of Melon Cultivars to Natural Infection by Diseases in South Western Nigeria
Bibliographic record
Abstract
Melon is an important crop in South western, Nigeria. The study evaluated incidence and severity of Anthracnose, mildews, wilt, leaf spot and blight disease of melon cultivars: Serewe, Bara A, Bara B in cultivated plots in South Western Nigeria. Experiment was set in a randomized complete block design with five replicates in the Teaching and Research field of the University of Ibadan, Nigeria. Disease incidence and severity was varied among the melon cultivars. Predominant foliar diseases were Anthracnose and leaf blight with maximum disease incidence index of 82.0–100% across the cultivars. Disease incidence and severity indices for all diseases were high during the early season (27.0-100%) and low during the dry season (19.0-65.0%) except for the downy mildew disease. Fusarium wilt disease incidence was significantly lower than all other diseases encountered. Cultivars were not consistent in their reaction to the diseases and these also varied with the years. The study has given information on the predominant diseases for which control management technology should be developed.
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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) | 0.000 | 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".