Genetic Characterization and Molecular Mapping <i>Pse‐2</i> Gene for Resistance to Halo Blight in Common Bean
Bibliographic record
Abstract
ABSTRACT Pseudomonas syringae pv. phaseolicola (Burkholder) Young et al. (Psp) causes halo blight, which is a serious bacterial disease of common bean (Phaseolus vulgaris L.). Several resistance (R) genes have been discovered in host differential cultivar ZAA 12. Our objectives were to further characterize and enable marker‐assisted selection (MAS) of the Pse‐2 gene in ZAA 12 purported to have broad effect against multiple Psp races. A recombinant inbred population, ZAA 12 × ‘Canadian Wonder’, was challenged by the halo blight pathogen differential set consisting of nine Psp races. The resistance conferred by Pse‐2 to races 2, 3, 4, 5, 7, 8, and 9 expanded the effect known for this gene from three to seven races. Segregation in F2 populations confirmed dominant inheritance for Pse‐2 against all races except Race 8. Resistance to Race 8 was recessively inherited and most closely fit a 7 resistant to 9 susceptible segregation ratio in the F2 generation. Perhaps other genes are segregating that modify the effect of Pse‐2 against Race 8. A sequence characterized amplified region (SCAR) marker tightly linked with Pse‐2 was generated. The marker was used to integrate Pse‐2 to chromosome 10. A survey of lines and cultivars revealed the SCAR will have broad utility for MAS of Pse‐2.
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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) | 0.001 | 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".