Clubroot in Australia: the history and impact of <i>Plasmodiophora brassicae</i> in <i>Brassica</i> crops and research efforts directed towards its control
Bibliographic record
Abstract
Plasmodiophora brassicae, the obligate biotrophic plant pathogen causing clubroot of Brassica crops, has been present in Australia since the 1890s. The disease spread rapidly in vegetable Brassica crops, causing widespread losses during the 1980s and 1990s due to the increasing intensity of Brassica production and the extensive use of transplants. In response to the escalating problems caused by this disease in vegetable Brassica crops, a survey and pilot studies were initiated in 1993. This grew to become a coordinated national programme delivering clubroot research, development and extension to the Brassica industry until 2010. The key outcome of the programme was reduced crop losses through more effective and sustainable management of clubroot. This was achieved by the development and implementation of integrated, disease management strategies involving the use of good farm and nursery hygiene, early disease detection, application of lime (as calcium oxide) to maintain soil alkalinity, use of calcium and boron fertilizers, and strategic application of fungicides. Successful use of these integrated strategies reduced industry reliance on soil fumigants for disease control. This review details the history and impact of clubroot in Australia and research efforts directed towards its control.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".