Behaviour of<i>Neonectria fuckeliana</i>causing a pine canker disease in New Zealand
Bibliographic record
Abstract
Neonectria fuckeliana (C. Booth) Castl. & Rossman is known to be associated with a stem canker disease of Pinus radiata D. Don in New Zealand plantation forests. Although N. fuckeliana has been previously recorded as a wound invader or weak pathogen of Picea and Abies species in the Northern Hemisphere, little is currently known about the basic biology of the fungus. This paper outlines early investigations into the spore production and dispersal of N. fuckeliana in New Zealand. Perithecia of N. fuckeliana occur frequently on pruned stubs and on the surface of cankers, and ascospores appear to be the primary means of dispersal for this fungus in New Zealand. Both field collections and spore trapping show that mature perithecia contain viable ascospores in all seasons, and spores are ejected and dispersed using moisture. The conidial phases are rarely found in the field. Optimum temperature for both growth of mycelium and ascospore germination was between 15 and 25 °C. Some spore germination occurred at temperatures as low as 5 °C, but above 25 °C spore germination was abnormal. Ascospores and perithecia favoured storage in lower temperatures: overall, ascospores from perithecia stored at room temperature gradually lost their viability, whereas those stored at 4 and –8 °C maintained their viability over an 18 month period.
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".