Abundance of Japanese beetle adults and its parasitoid Istocheta aldrichi in a Quebec commercial vineyard
Bibliographic record
Abstract
Japanese beetles (Popillia japonica Newman 1841 – Coleoptera: Scarabaeidae) were detected in early 2000’s at L’Orpailleur, a commercial vineyard located in Dunham, Quebec. Canada. As their levels of damage increased significantly since 2014, a research project was conducted to document the abundance of Japanese beetle adults on foliage of vines and its parasite, the winsome fly Istocheta aldrichi (Mesnil) (Diptera: Tachinidae). From 2019 to 2023, the abundance of Japanese beetle adults was visually assessed in plots (3 × 24 m of grapevine rows) on foliage of each Vidal and Seyval Blanc cultivars. The abundance of Japanese beetle adults with at least one Istocheta aldrichi egg on their pronotum was also visually assessed. From 2019 to 2023, cages positioned near the vineyard allowed to overwinter I. aldrichi pupae to determine the first date of emergence of I. aldrichi adults. Cumulative day-degrees (>10 °C, starting April 1st) were used to report the events related to P. japonica adults, I. aldrichi, and the date of occurrence of phenological stages of grapevines (cultivar Seyval Blanc). In the monitored plots, the seasonal total number of P. japonica adults counted on Seyval Blanc foliage varied from 1955 in 2019 to 513 in 2023, while it varied from 2151 in 2019 to 496 in 2023 on Vidal foliage. From 2019 to 2023, during the period of oviposition of I. aldrichi, the seasonal average % of P. japonica adults showing at least one I. aldrichi egg on its pronotum varied from 7.6 in 2020 to 41.7% in 2023 on the cultivar Seyval Blanc, while it varied from 10.6 in 2020 to 35.5% in 2023 on the cultivar Vidal. Having discussed the agronomic context and factors involved at l’Orpailleur, we conclude that I. aldrichi had a major impact on P. japonica populations, thus providing a non-insecticidal and sustainable tactic to manage this insect.
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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 | 0.001 | 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".