The role of oleoresin flow in the induced response of loblolly pine to a southern pine beetle associated fungus
Bibliographic record
Abstract
The influence of total resin flow in loblolly pine, Pinus taeda L., on initial inoculation of the blue stain fungus Ophiostoma minus (Hedgc.) Syd. & P. Syd., a fungal associate of southern pine beetle (Dendroctonus frontalis Zimmermann (Coleoptera:Scolytidae)), was investigated. Resin flow of trees was mechanically manipulated so that it followed the same pattern of decrease and near cessation as seen in trees successfully attacked by southern pine beetle. There were also intermediate treatments where resin flow was allowed to recover. The fungus was inoculated into holes drilled to the xylem surface and allowed to grow for a specified time period. The lesion that formed as a result of the induced reaction was then measured and compared with lesions formed in trees for which resin flow was not manipulated. The experiment was conducted three times in 1993 and 1994 and twice in 1995. It was hypothesized that with decreased resin flow, O. minus would be less inhibited and that growth would be greater before being stopped by the induced reaction. It was found that longer lesions occurred in trees where wounding was prolonged and resin flow was decreased below that of control trees. Mixed results were obtained for trees in intermediate wounding treatments.Key words: oleoresin, blue stain fungus, defenses, bark beetles, induced reaction, Dendroctonus.
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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".