Studies on resistance to bacterial speck (<i>Pseudomonas syringae</i> pv. <i>tomato</i>) in tomato cv. Ontario 7710
Bibliographic record
Abstract
Abstract Plants of 17 tomato cultivars and four wild Lycopersicon accessions were evaluated for their reaction to Pseudomonas syringae pv. tomato (Pst) in a greenhouse following a leaf‐spray inoculation. The genotypes exhibited a large amount of variation in response to Pst infection, with disease severity index (DSI) ratings from 0.2 to 3.9. The cultivar ‘Ontario 7710’ and two accessions of Lycopersicon hirsutum (LA 1773 and LA 1775) were the most resistant, with DSI values of 0.2, 0.4 and 0.6, respectively. Three varieties, M 1812, Kujawski and Warszawski, also showed a high level of tolerance. The most susceptible was ‘A 100’(DSI = 3.9). The inheritance of resistance to bacterial speck was investigated by disease tests in segregated populations obtained by hybridizing the tomato cv. Ontario 7710 with the susceptible variety ‘A 100′. Plants were rated for disease severity by inspecting each plant and were then evaluated according to phenotypic similarity to ‘Ontario 7710’ or ‘A 100’ in respect of the number and size of the spots. Genetic analysis in F1, F2 and backcross segregations indicated that resistance of'Ontario 7710’ to Pst is conferred by one incompletely dominant gene, Pto.
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) | 0.000 | 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) | 0.001 | 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".