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)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 it