DEVELOPING AN ECONOMIC INJURY LEVEL AND ECONOMIC THRESHOLD FOR PEA APHID (Acyrthosiphon pisum) MANAGEMENT ON LENTIL (Lens culinaris) AND FABA BEAN (Vicia faba L.) IN SASKATCHEWAN, CANADA
Bibliographic record
Abstract
Pea aphids (Acyrthosiphom pisum) (Hemiptera: Aphididae) cause significant yield loss in pulse crops. However, Saskatchewan lacks the management information required to determine when control of pea aphid is necessary in faba beans (Vicia faba) and lentils (Lens culinaris Medik). To address this knowledge gap, the efficacy of three different insecticides and yield loss due to aphid infestation was assessed over two field seasons at 6 sites in the Saskatoon area. Results showed that lambda-cyhalothrin at 100g/L and lambda-cyhalothrin at 50g/L in combination with chlorantraniliprole at 100g/L significantly suppressed pea aphid populations in both crops, while cyantraniliprole at 120 g/L was less effective for population knock-down. With respect to economic thresholds, earlier control of pea aphids resulted in a better yield return. The average economic threshold (ET) for faba beans was 33 to 49 aphids per main branch of a plant and 36 ± 7 aphids per one standard sweep net on lentils. Estimated ETs provide a 7-day lead time before aphid populations exceed the economic injury level (EIL) of 610 to 936 cumulative aphid days in faba bean and 743 ±137 aphids in lentils. This project also examined the pea aphid growth rate on tannin and low tannin faba bean as well as on four varieties of small red lentils. For faba bean, pea aphid growth rate did not differ between varieties. On lentil, pea aphids had a faster development on CDC Impact and CDC Impulse when compared to CDC Maxim. In conclusion, we found that application of foliar contact insecticides can significantly reduce the base number of pea aphids in both faba bean and lentil, providing effective population control and yield loss prevention. These more accurate economic thresholds will provide growers with more information on the timing of pea aphid control relative to specific population numbers, potentially reduce unnecessary insecticide use, increase profits, and result in overall better-integrated pest management for this potentially devastating pest of pulse crops.
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 | 0.002 | 0.003 |
| 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 | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".