Inheritance of Sensitivity to Fenthion in Resistant and Susceptible to Bacterial Speck ( <i>Pseudomonas syringae</i> pv. <i>tomato</i> ) Tomato Genotypes
Bibliographic record
Abstract
Inheritance of Sensitivity to Fenthion in Resistant and Susceptible to Bacterial Speck ( Pseudomonas syringae pv. tomato ) Tomato Genotypes In developing bacterial speck ( Pseudomonas syringae pv. tomato ) resistant cultivars the reaction of tomato plants to fenthion (Lebaycid 50EC) can be used as an indicator in differentiation between resistant and susceptible genotypes. The presence of concentric light brown necrotic lesions on tomato leaves after spraying with Lebaycid 50EC corresponds with resistance to this disease. The method appeared to be simple, reliable and useful in tomato breeding program. Genetic analysis in F1, F2 and backcross segregation populations generated from crosses cv. Ontario 7710 (sensitive) and A100 (insensitive) indicated that sensitivity to fenthion in tomato is governed by one completely dominant gene Fen.
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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 | 0.000 | 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".