Detection of the Diplodia shoot blight and canker pathogens from red and jack pine seeds using cultural methods
Bibliographic record
Abstract
The shoot blight and canker pathogens Diplodia pinea and D. scrobiculata commonly and abundantly sporulate on seed cones of red pine (Pinus resinosa) and jack pine (P. banksiana) collected from Wisconsin and Minnesota forests. Cultural methods were used to investigate the incidence of these fungi in seed lots obtained from government nurseries in these states. In each of three replicate trials, seeds of each lot were assigned to four treatments before incubation on semi-selective medium: (1) not surface-disinfested; (2) surface-disinfested; (3) surface-disinfested, then inoculated with D. pinea conidia; or (4) not surface-disinfested, then inoculated with D. pinea conidia. For red pine seeds, the mean percentage positive was 2.7% for treatment 1 and 1.3% for treatment 2. Jack pine seeds were less frequently positive than red pine seeds for both treatments 1 and 2. The Diplodia species cultured was identified as D. pinea in almost every case. Diplodia pinea was much less frequently recovered from seeds that were not surface-disinfested and then inoculated (treatment 4), when compared with seeds that were inoculated with D. pinea after surface-disinfestation (treatment 3). Results confirm the potential for dissemination of D. pinea on red pine and jack pine seeds, and caution is warranted before concluding absence of the pathogen based on results using cultural methods with relatively small numbers of seeds. Although the frequency of pathogen-positive seeds was low, the large numbers of seeds planted in nurseries suggest that seeds may be a potentially important route of entry of D. pinea into nursery beds.
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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) | 0.000 | 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 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".