Pathogenicity of wild-type and albino strains of the fungus <i>Ceratocystis resinifera</i>, a potential biocontrol agent against bluestain
Bibliographic record
Abstract
To verify the environmental innocuousness of large-scale applications of an albino strain (Kasper) of Ceratocystis resinifera Harrington & Wingfield, a potential biocontrol agent against bluestain, we tested the pathogenicity of this fungal species in greenhouse and field trials. In the greenhouse, the development of C. resinifera was negligible in deciduous seedlings, whereas the fungus was able to colonize the three conifer species tested. Ceratocystis resinifera induced only small lesions in white pine ( Pinus strobus L.) but colonized more extensively white spruce ( Picea glauca (Moench) Voss) and black spruce ( Picea mariana (Mill.) BSP) seedlings. Black spruce was the most affected species and showed the highest mean mortality rate (40%). However, the pathogenicity of C. resinifera seemed to be conditional, since no mortality was observed in one experiment. In the field trial, C. resinifera induced longer lesions than Ophiostoma piceae (Münch) Syd. & P. Syd. 1919 (a weak pathogen) as well as mortality in one mature black spruce tree. However, Kasper was less virulent than the wild type isolate tested, since it induced significantly smaller lesions and no mortality. In spite of its ability to colonize spruce trees, C. resinifera showed a weak tolerance to low oxygen levels, which, together with the lack of a primary bark beetle vector associate, may reduce its pathogenic potential.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".