Management of Pratylenchus penetrans and Verticilllium symptoms in strawberry
Bibliographic record
Abstract
Under field conditions, the effect of a single rotation with corn, cruciferous crops (canola followed by white mustard) as green manure, oats, and forage pearl millet was measured on the density of Pratylenchus penetrans and its impact on damage and losses caused by Verticillium dahliae in a strawberry plantation the following year. The lowest density of P. penetrans was recorded following forage pearl millet and green cruciferous manure, and in both cases, it was below the known pest threshold in strawberry of 500 P. penetrans kg -1 soil. Both green manure of cruciferous plants and forage pearl millet reduced the incidence of Verticillium wilt and increased the growth of strawberry plants. In the fall, the number of crowns and the number of daughter plants were significantly higher following forage pearl millet or cruciferous plants than corn. The highest wilt symptoms and the lowest strawberry growth were observed in plots previously planted with corn, which also harboured the highest spring populations of P. penetrans . Those results support a positive interaction between P. penetrans and V. dahliae , even more importantly so on susceptible cultivard such as ‘Jewell’.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".