Assessment of inoculation techniques suitability for determination of tomato plants resistance to bacterial speck (Pseudomonas syringae pv. tomato).
Bibliographic record
Abstract
Four procedures applied for screening of tomato seedlings for resistance to bacterial speck showed that plants of 13 tomato cultigens exhibited a large amount of variation in response to Pseudomonas syringae pv. tomato (Pst) infection. The inoculation with spraying leaves on plants and leaves detached from the plants with water bacterial suspension gave the most homogeneous and consistent results. Two other methods accomplished by rubbing leaf surface and dipping young seedlings in a suspension of Pst were found not useful for the distinction of resistant and susceptible genotypes due to low repeatability of results. Low (2–5%) surviving stand of resistant cv. ‘Ontario 7710’ was also observed after application of both methods. Good correlation between cultigen susceptibility and disease symptoms intensity on the first four true leaves appeared. Out of 12 susceptible cultigens tested, 11 had the third leaf most infected.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.001 | 0.001 |
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".