A new dieback disease of <i>Acacia cyclops</i> in South Africa caused by <i>Pseudolagarobasidium acaciicola</i> sp.nov.
Bibliographic record
Abstract
Acacia cyclops A. Cunn. ex G. Don (Fabaceae, Mimosoideae), originating from Western Australia, is a serious environmental weed in South Africa. A dieback disease of A. cyclops occurring in South Africa is described, and a fungus herein named Psuedolagarobasidium acaciicola Ginns sp.nov. (Basidiomycetes, Polyporales, Hyphodermataceae) was consistently isolated from diseased roots of A. cyclops trees showing early dieback symptoms. Isolates of P. acaciicola caused 100% mortality in pathogenicity screening tests using seedlings of A. cyclops. Saplings of A. cyclops were inoculated with one isolate of P. acaciicola, and all plants were killed within 2–3 months. No control plants died. Psuedolagarobasidium acaciicola was reisolated from all inoculated plants that died. Trees growing in the field were inoculated at two sites on two occasions. Most inoculated trees died within 2 years, whereas no control plants died. Eventually P. acaciicola fruited in vitro and in vivo allowing the basidiomes and cultures to be described. This fungus has potential to be developed as a bioherbicide to aid in the control of this serious environmental weed.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".