Consistent thrips biological control by <i>Orius insidiosus</i> on cucumber plants despite different LED lighting regimes
Bibliographic record
Abstract
Abstract Artificial lighting, particularly light-emitting diodes (LEDs), is widely used in controlled- environment agriculture (CEA) to enhance crop productivity. Yet, light also acts as a sensory cue, directly and indirectly affecting insect pests and their natural enemies. Despite growing interest, the impacts of LEDs on multitrophic interactions remain poorly understood. This study assessed how spectral photoperiod extension modulates top-down effects (predator effects on pest densities, pest-related damage to plants, and plant defense-related gene expression) and bottom-up effects (plant morphology, light assimilation, and defense as well as growth hormone-related gene expression) in a tri-trophic system involving a plant, Cucumis sativus (greenhouse cucumber), a pest insect, Frankliniella occidentalis (western flower thrips), and a predator used for biological control, Orius insidiosus . Plants were exposed for two weeks to a 12-hour artificial sunlight simulating a cloudy winter day, with or without an 8-hour extension of blue, blue–red, or blue–green–red LEDs. Orius insidiosus reduced thrips populations by 96% ± 9%, regardless of light treatment, and decreased foliar damage due to thrips by 46% on average. Predators produced offspring under all lighting conditions, although total numbers of O. insidiosus were lower under blue–green–red lighting. Pest densities remained similar across all light treatments, suggesting that light supplementation did not benefit F. occidentalis . Blue and blue–red spectra improved plant light assimilation, and photoperiod extension generally increased dry biomass (8% ± 11%). Defense-related phytohormones were only marginally affected; surprisingly, some jasmonic acid pathway-related genes were upregulated in the presence of predators, suggesting additional plant-mediated effects. Our results underscore the potential of O. insidiosus to provide biological pest control services under artificial lighting regimes already used in crop production. Key Message Lighting in agriculture alters dynamics of pest and beneficial insects We asked how LED spectra influence net biological control outcomes in a tri-trophic system O. insidiosus reduced pest numbers by 96% and foliar damage by 46% Predators increased the expression of some jasmonic acid-related genes O . insidiosus showed potential for pest suppression under different lighting regimes
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".