Current Pest Status and Management Practices for<i>Systena frontalis</i>(Coleoptera: Chrysomelidae) in Ornamental Plants in the Eastern United States: An Online Survey
Bibliographic record
Abstract
Abstract Systena frontalis (F.) (Coleoptera: Chrysomelidae) is an important pest in ornamental plant nurseries in the United States. Information on current pest status and management practices employed by nurseries, garden centers, and landscape care operations are crucial to developing an effective research and extension program for ornamental crops. An online survey was developed and administered by the research team in 2020 to gather data on pest status and current pest management practices. The questionnaire included three focus areas: 1) participant (location, industry type, or operating area); 2) pest status indicators (incidence, affected crops, and estimated loss); and 3) common pest management practices. The questionnaire was distributed to stakeholders via e-mail lists, newsletters, and blogs. Seventy-five responses were received; 82.6% of which were from wholesale nursery operators in 19 U.S. states and 1 Canadian province. For most respondents (72%), damage recurred yearly in the past 10 yr and persisted from April to October. About 56% of respondents reported damage on more than five host plant species (with Hydrangea spp. being the most frequently identified) representing approximately 25% of the total number of plants grown in the facilities. Presence of S. frontalis is being monitored mainly through visual inspection of foliage for adult presence or foliage damage (100%), with scouting occurring mainly at weekly intervals (57%). The majority of respondents used broad-spectrum insecticides (such as pyrethroids) for adult (89%) and larval control (47%). We estimated that a grower spends USD$1,637/ha/yr on insecticides and labor for monitoring and implementing S. frontalis management.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".