Models Applied to Grapevine Pests: A Review

Insects

Alberto Alma¹  Federico Lessio¹ 

[1] DISAFA, Entomology Unit, University of Torino, Largo Braccini 2, 10095 Grugliasco (TO), Italy;

关键词: grapevine;    pest management;    modelling;    decision-support system;    Xylella fastidiosa;    Lobesia botrana;   

DOI  :  10.3390/insects12020169

来源: DOAJ

【 摘 要 】

This paper reviews the existing predictive models concerning insects and mites harmful to grapevine. A brief conceptual description is given on the definition of a model and about different types of models: deterministic vs. stochastics, continuous vs. discrete, analytical vs. computer-based, and descriptive vs. data-driven. The main biological aspects of grapevine pests covered by different types of models are phenology, population growth and dynamics, species distribution, and invasion risk. A particular emphasis is put on forecasting epidemics of plant disease agents transmitted by insects with sucking-piercing mouthparts. The most investigated species or groups are the glassy-winged sharpshooter Homalodisca vitripennis (Germar) and other vectors of Xylella fastidiosa subsp. fastidiosa, a bacterium agent of Pierce’s disease; the European grape berry moth, Lobesia botrana (Denis and Schiffermuller); and the leafhopper Scaphoideus titanus Ball, the main vector of phytoplasmas agents of Flavescence dorée. Finally, the present and future of decision-support systems (DSS) in viticulture is discussed.

【 授权许可】

Unknown