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Male flight phenology of the European grapevine moth Lobesia botrana (Lepidoptera: Tortricidae) in different wine-growing regions in Spain

Published online by Cambridge University Press:  09 May 2014

V. Ortega-López ,
M. Amo-Salas ,
A. Ortiz-Barredo  and
A.M. Díez-Navajas
V. Ortega-López*
Affiliation:
Civil Engineering Department, University of Burgos, Calle Villadiego s/n, E-09001 Burgos, Spain
M. Amo-Salas
Affiliation:
Mathematics Department, University of Castilla-La Mancha, Camino de Moledores s/n, E-13071 Ciudad Real, Spain
A. Ortiz-Barredo
Affiliation:
Plant Production and Protection Department, NEIKER-Tecnalia, E-01080 Vitoria-Gasteiz, Spain
A.M. Díez-Navajas
Affiliation:
Plant Production and Protection Department, NEIKER-Tecnalia, E-01080 Vitoria-Gasteiz, Spain
*
*Author for correspondence Phone: +34 947259078 Fax: +34 947259478 E-mail: vortega@ubu.es
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Abstract

Lobesia botrana is the most significant pest of grape berries in Spain. Further knowledge of its phenology would enable wine growers to decide on an optimal treatment schedule. The aim of this study is, therefore, to predict the flight peaks of L. botrana in seven wine-growing regions of Spain. The main goal is to provide a prediction model based on meteorological data records. A logistic function model, based on temperature and humidity records, together with an exhaustive statistical analysis, were used to compare the wine-growing regions in which the male flight phenology of L. botrana displays similar patterns and to sort them into groups. By doing so, a joint study of the dynamics of the moth is possible in the regions within each group. A comparison of the prediction errors before and after applying the Touzeau model confirmed that the fit of the latter model is not sufficiently accurate for the regions under study. Moth flight predictions with the logistic function model are good, but accuracy may still be improved by evaluating other non-biotic and biotic factors.

Keywords

climatic areaspheromone trapsadult population dynamicslogistic functionphenological modelsflight peak
Type
Research Paper
Information
Bulletin of Entomological Research , Volume 104 , Issue 5 , October 2014 , pp. 566 - 575
Copyright
Copyright © Cambridge University Press 2014 

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