Field tests on biological control of <i>Heterobasidion annosum</i> by <i>Phaeotheca dimorphospora</i> in comparison with <i>Phlebiopsis gigantea</i>
Bibliographic record
Abstract
Summary In field tests conducted on freshly cut red pine (Pinus resinosa) logs, the antagonistic fungus Phaeotheca dimorphospora formulated as pre‐colonized rye grains reduced colonization of wood tissue by Heterobasidion annosum to less than 2% over the 2 months following inoculation. However, compared to controls, a water suspension of P. dimorphospora did not reduce the infection, but rather promoted colonization by H. annosum after a 2‐month exposure. Production of antifungal metabolites by P. dimorphospora in the rye grains and better colonization of the logs by the antagonist were observed with the rye grain formulation. In this field test, the most effective treatment to control H. annosum was the application of an oidial suspension of Phlebiopsis gigantea. This fungus completely inhibited colonization by H. annosum mostly by rapid colonization of wood tissue. All treatments with P. gigantea, P. dimorphospora and rye grains influenced the naturally occurring mycoflora. The most important species composing this mycoflora were Hormonema sp., Mortierella spp., Mucor hiemalis f. hiemalis, Nectria sp., Pesotum sp., P. gigantea, Tympanis spp., Trichoderma spp. and an unknown basidiomycete.
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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 | 0.001 |
| 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 | 0.001 |
| 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".