Clonal evaluation for fusiform rust disease resistance: effects of pathogen virulence and disease escape
Bibliographic record
Abstract
We evaluated the precision of phenotypic classification for fusiform rust resistance of Pinus taeda L. in a clonally propagated population segregating for the pathotype-specific resistance gene Fr1. In all marker-defined Fr1/fr1 clones screened with low complexity or ambient inoculum, marker–trait cosegregation was complete with no exceptions. Uncommon exceptions (4 of 30) in which marker-defined Fr1/fr1 clones screened with high complexity inoculum were diseased were probably due to a low frequency of spores virulent to Fr1 resistance. Marker–trait cosegregation for fr1/fr1 clones was less reliable, as all ramets of a few clones (5 of 29, 3 of 25, and 4 of 16) remained disease-free with low complexity, high complexity, or ambient inoculum, respectively. We termed disease-free fr1/fr1 ramets “escapes”, since the genetics of the host–pathogen interaction predicted them to be diseased. For nonmarker-defined materials, we considered escapes to be disease-free ramets within clones that had at least one diseased ramet. Narrow-sense heritability estimates for escape rate were 29% and 23% for the low and high complexity inocula, respectively, suggesting that genetic variation in the host is an important component of this resistance mechanism.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| 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) | 0.000 | 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 teacher head, 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".