Efficacy of releases of phytoseiid mites (Acari: Phytoseiidae) on spider mite control on raspberry in high tunnel production, and implication on control strategy through a population model of Tetranychus mcdanieli (Acari: Tetranychidae)
Bibliographic record
Abstract
Field experiments were conducted to determine the establishment and the effectiveness of certain predatory mites in controlling spider mites in raspberry grown under high tunnels. First, the efficacy of Neoseiulus fallacis and N. californicus releases combined with Phytoseiulus persimilis was compared to an acaricide (clofentezine). Weather and low release rates being unfavourable to predator establishment, release strategies were not as effective as the acaricide. Second, the effect of adding an artificial mist on the establishment of P. persimilis was measured. Control was achieved more rapidly by treatment with artificial mist, but the difference in prey and predator density was not significant. Third, a population dynamics model was developed and calibrated with the aim of better understanding spider mite dynamics under tunnel production. The model fits the field data well, is useful for sizing up the impact of different parameters on the population dynamic and shows that temperature is a critical parameter in the management of spider mites.
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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 | 0.001 |
| 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".