Management and Quantification of Plant Parasitic Nematodes on Carrots (Daucus carota subsp. sativus) in Muck Soils in Ontario
Bibliographic record
Abstract
Plant parasitic nematodes are a significant constraint on carrot production in Ontario, Canada. Growers need new tools to control the primary nematodes impacting carrots in the muck soil growing regions of Ontario, Meloidogyne hapla and Heterodera carotae. Growth room, microplot and field trials were conducted to evaluate new nematicides (abamectin, oleoresin of capsicum + AITC, spirotetramat, mustard seed meal, fluensulfone) and currently registered fumigants (chloropicrin, metam sodium, dazomet) for their efficacy against plant parasitic nematodes. Abamectin and fluensulfone decreased nematode damage in growth room trials. Chloropicrin and metam sodium provided the most consistent control and increased yields in field conditions. Nematode extraction methods were also evaluated to determine their efficacy at extracting plant parasitic nematodes relevant to carrots. The SC method was found to be effective at extracting more Heterodera spp. but not Meloidogyne spp. This research provides strategies to better manage plant parasitic nematodes in carrots produced in Ontario.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 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".