Seasonal abundance of key alfalfa (Fabaceae) seed production pests and their natural enemies in southern Alberta, Canada
Bibliographic record
Abstract
Abstract The economic importance of insect pests in agricultural fields and the potential biological control by their natural enemies warrant foundational studies for the development of integrated pest management strategies. An insect survey was conducted in alfalfa (Fabaceae) seed production fields in southern Alberta, Canada, during the bud, flowering, and seed crop stages in 2020 and 2021. We examined the seasonal abundance of Hypera postica (Gyllenhal) (Coleoptera: Curculionidae), Adelphocoris lineolatus (Goeze) (Hemiptera: Miridae), Lygus spp. Hahn (Hemiptera: Miridae), and 12 natural enemy taxa. We also examined the seasonal abundance, richness, and diversity of generalist predators and the seasonality of the two H. postica parasitoids, Bathyplectes curculionis (Thomson) (Hymenoptera: Ichneumonidae) and Oomyzus incertus (Ratzeburg) (Hymenoptera: Eulophidae). The seasonality of pests and natural enemies was inconsistent between years. Hypera postica larvae, B. curculionis, and O. incertus were present from mid-June to mid-August. However, we detected no correlations between H. postica larvae and its two parasitoids in either year. A number of generalist predators were correlated with A. lineolatus and Lygus spp. Further research is needed to understand the effects of environmental and biotic factors on the seasonality of pests and natural enemies in alfalfa seed production fields, and the insects’ trophic interactions.
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 | 0.001 | 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".