Evaluation of Different Botanicals Against Sclerotium rolfsii Causing Collar Rot Disease of Lentil
Bibliographic record
Abstract
Lentil (Lens culinaris Medik.) is an important pulse crop in semiarid regions of Iran, India, Turkey and Canada and originated in the fertile crescent of the Near East and dates back to the beginning of agriculture itself. Lentil suffer from attack of number seed borne diseases such as vascular wilt, collar rot, root rot, stem rot, rust, powdery mildew and downy mildew, which are caused by Fusarium oxysporum f.sp. lentis, Sclerotium rolfsii, Rhizoctonia solani, Uromycis fabae, Erysiphe polygoni and Peronospora lentis, respectively. Among the diseases, foot and root rot of lentil caused by Sclerotium rolfsii are common and the most severe disease. The fungi can attack the crop at any stage from seedling to flowering stage and are comparatively more destructive at the seedling stage. The effect of phyto extracts of nine plant species were tested in vitro by poisoned food technique to know their inhibitory effect on the growth of Sclerotium rolfsii. Significantly minimum mycelium growth was recorded in Curcuma longa (39.25 mm) while maximum mycelium growth was observed in Ricinus communis (90.00 mm).
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".