Population Dynamics and Management of Plant-Parasitic Nematodes in Commercial Strawberry (Fragaria x ananassa) Fields of Southern and Eastern Ontario
Bibliographic record
Abstract
Plant parasitic nematodes (PPN) are significant pests that parasitize the roots of strawberry plants and cause both direct damage and indirect damage through reduced stress tolerance. Studies were conducted to compare nematode extraction protocols, assess population dynamics of PPN within southern and eastern Ontario, assess 12 strawberry cultivars for their resistance to parasitism by Meloidogyne hapla and Pratylenchus spp. and to assess the efficacy of potential PPN management products. The Baermann pan method extracted more Pratylenchus than the sugar centrifugation method but there was no difference between the two when extracting Meloidogyne from the soil. The nematode genera Meloidogyne and Pratylenchus were present in 42 and 86% of the fields surveyed, respectively. Two cultivars were found to be resistant to M. hapla. The chemical results of the nematicide trial showed some efficacy of fluensulfone but nematode populations were too low to make any other conclusions.
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 | 0.001 | 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".