Flea beetle (<i>Phyllotreta</i> spp.) management in spring‐planted canola (<i>Brassica napus</i> L.) on the northern Great Plains of North America
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 Canola ( Brassica napus L. and B. rapa L. [Brassicales: Brassicaceae]) is a major oilseed crop grown globally as a source of vegetable oil, animal feed and biofuel feedstock. The global demand for canola oil as a biofuel feedstock has increased due to recent regulations in the European Union, United States, and Canada. In North America, canola production is centered on the northern Great Plains where it is challenged by two highly destructive flea beetle species, the crucifer ( Phyllotreta cruciferae Goeze, 1777) and the striped ( Phyllotreta striolata Fabricius, 1803) flea beetles. In the spring, adult P. cruciferae and P. striolata begin feeding on canola seedlings, creating a ‘shot hole’ appearance, which can reduce the plant's photosynthetic capacity leading to uneven plant emergence and growth, reduced plant stand density, and reduced seed yield. Losses resulting from flea beetles are estimated in the tens of millions of dollars annually. At present, the principle means for flea beetle control are insecticides applied as systemic seed treatments and/or subsequent foliar sprays. The continued use of these products is being questioned due to environmental concerns and acquisition of resistance. As such, significant research effort is being directed toward the development of an integrated pest management system for these abundant and hard to manage pests of canola. Here, we review the ecology, pest status, and management of flea beetles in North America and discuss future research needed to promote flea beetle management and sustainable canola production.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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