Current Pest Status and Management Practices for<i>Systena frontalis</i>(Coleoptera: Chrysomelidae) in Ornamental Plants in the Eastern United States: An Online Survey
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
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.
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.
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 | 0.001 | 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) | 0.000 | 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