Occurrence of fungal pathogens of carrots on wooden boxes used for storage
Bibliographic record
Abstract
Infested wooden boxes, previously used for carrot storage, were sampled in four commercial carrot production farms in Bradford Marsh, Ontario, and screened for fungal occurrence. At least 128 and 465 fungal isolates were recovered from these boxes in 2001 and 2002, respectively, and were classified into 10 taxonomic groups, including Alternaria spp., Aspergillus spp., Botrytis cinerea , Fusarium spp., Mucor spp., Penicillium spp., Rhizoctonia carotae , Rhizopus spp., Sclerotinia sclerotiorum and Trichoderma spp. A subsample of 27 putative pathogenic isolates was further tested for the ability to cause disease on carrots and to colonize wood surfaces under growth room and cold storage conditions. Approximately 60% of the taxa growing on wood caused lesions upon contact with intact carrots in cold storage. Isolates of S. sclerotiorum , B. cinerea and R. carotae caused the most severe diseases, developed most extensively on wooden surfaces in cold storage, and represented 12% of the recovered fungi. Isolates of Alternaria spp., Aspergillus spp., Fusarium spp., Mucor spp., Penicillium spp., Rhizopus spp. and Trichoderma spp. caused negligible or no disease on carrots and represented 88% of recovered fungi. Several of these fungi, however, showed potential to colonize wooden surfaces and cause disease on sliced carrots. This study suggests that pathogenic inocula occurring on used wooden boxes can initiate disease upon contact with healthy carrots and reusing infested boxes can affect carrots in storage.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".