Inheritance of resistance to <i>Glomerella cingulata</i> in <i>Populus</i>
Bibliographic record
Abstract
In natural populations of Populus trichocarpa Torr. & A. Gray, large, concentric leaf lesions caused by Glomerella cingulata (Stonem.) Spaulding & Schrenk only appear in late autumn. In contrast, small, dark lesions associated with crinkling of the leaf lamina have been observed on P. trichocarpa × Populus deltoides Bartr. ex Marsh. hybrid F2 individuals in spring. Inoculation with a monoconidial isolate demonstrated that the two lesion types are not caused by distinct pathotypes of G. cingulata; typical lesions formed on P. trichocarpa and on F2 individuals. Segregation in two related P. trichocarpa × P. deltoides pedigrees demonstrated that resistance is inherited from P. deltoides and conferred by one to several genes. The inoculation study with G. cingulata confirmed that resistance is inherited from P. deltoides. The susceptibility of P. trichocarpa was evident in the study environment of low light intensity and daily misting. The ability of G. cingulata to cause latent infection was tested with forced cuttings from which preformed leaves emerged and displayed diagnostic symptoms. The apparent resistance of P. trichocarpa in nature likely involves such latent infection. It is proposed that G. cingulata can become an early season pathogen of those F2 hybrids deficient in both the polygenic resistance of P. trichocarpa and a major gene for resistance from P. deltoides.
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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) | 0.001 | 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 | 0.000 |
| 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".