ArticleEnvironmental entomology2023
Degree-day-based model to predict egg hatching of Philaenus spumarius (Hemiptera: Aphrophoridae), the main vector of Xylella fastidiosa in Europe.
Article in Environmental entomology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Temperature-dependent regulation of diapause and hatching success in aphids: implications for climate change.Environmental entomology · 2026Article
- Article
- Synthetic lipopeptides that interact with lipopolysaccharides are potent bactericidal compounds againstApplied and environmental microbiology · 2025Article
- Targeting theFrontiers in insect science · 2025Article
- Insect responses to seasonal time constraints under global change are facilitated by warming and counteracted by invasive alien predators.Scientific reports · 2024Article
- A model for predicting the phenology of Philaenus spumarius.Scientific reports · 2024Article
- Adaptation of a Physiologically Based Model to Predict the Phenology of Philaenus spumarius, the Meadow Spittlebug.Physiologia plantarumArticle
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Philaenus spumarius L., the main vector of Xylella fastidiosa (Wells) in Europe, is a univoltine species that overwinters in the egg stage, and its nymphs emerge in late winter or spring. Predicting the time of egg hatching is essential for determining the precise times for deploying control strategies against insect pests. Here, we monitored P. spumarius eggs from oviposition to egg hatching together with the daily temperatures and relative humidities at four field locations that were located at different altitudes in central Spain. The collected data were used to build a growing degree day (GDD) model to forecast egg hatching in the Iberian Peninsula. Furthermore, the model was validated with field observations that were conducted in Spain. The model was then used as a decision-support tool to calculate the optimum timing for applying control actions against P. spumarius. Our results suggest that controlling nymphs at two different dates would target the highest percentages of nymphal populations present in the field. Our model represents a first step for predicting the emergence of nymphs and adopting timely control actions against P. spumarius. These actions could limit disease spread in areas where X. fastidiosa is present.
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Registered trials
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