Biology of aphelinus certus and its susceptibility to insecticides used for soybean aphid management
Bibliographic record
Abstract
The soybean aphid ('Aphis glycines' Matsumura) is a serious pest of soybean ('Glycine max' L.) in North America. Currently, soybean aphid management has focused on foliar applied insecticides. However, there is a growing body of evidence that natural enemies can regulate soybean aphid populations. Because soybean aphid has a high intrinsic rate of increase, natural enemies alone are not aiways a viable management option for soybean aphid. Integration of natural enemies and other management options will be necessary for reliable soybean aphid management. Determining the compatibility of natural enemies and insecticides is extremely important. In 2006, the exotic soybean aphid parasitoid 'Aphelinus certus' Yanosh was discovered in Ontario. This parasitoid was found to be distributed throughout southern Ontario making it an ideal candidate for incorporation into soybean aphid management decisions. Temperature-dependent developmental parameters were investigated, as well as the susceptibility of this parasitoid to insecticides currently or potentially registered for soybean aphid management in Canada.
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.
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 | 0.000 |
| 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) | 0.001 | 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".