Flight phenology and trap selection for monitoring potential viral vector Aphididae and Aleyrodidae (Hemiptera) in strawberry (Rosaceae) fields of Québec, Canada
Bibliographic record
Abstract
Abstract Strawberry decline disease, predominantly viral in origin, was a serious threat to the strawberry (Fragaria x ananassaDuchesne ex Rozier; Rosaceae) fields of Québec, Canada, between 2012 and 2014. Our aim was to monitor the abundance and activity of the main insect vectors: the strawberry aphid,Chaetosiphon fragaefolii(Cockerell) (Hemiptera: Aphididae) and the greenhouse whitefly,Trialeurodes vaporariorumWestwood (Hemiptera: Aleyrodidae). First, we compared the effectiveness of two trapping techniques, the yellow sticky trap and the yellow pan trap. Results showed that the sticky traps are more effective in capturing alates in flight. Second, we determined the peak flight period for each of the two vectors in several locations within the province of Québec. Results suggest that the peak abundance of wingedC. fragaefoliiis during the first two weeks of August, while the peak abundance ofT. vaporariorumis in the last two weeks of September. Overall trap captures also found 53 different species of winged aphids, and we documented a new distribution record on commercial strawberry fields in Québec,Aleyrodes spiraeoides(Quaintance) (Hemiptera: Aleyrodidae). Species composition and significant information of flight periods will be useful for the management of virus-transmitting insects associated with strawberry decline disease in Québec.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".