Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 405010
Title Optimizing biocontrol using phenological day degree models: the European earwig in pipfruit orchards
Author(s) Moerkens, R.; Gobin, B.; Peusens, G.; Helsen, H.H.M.
Source Agricultural and Forest Entomology 13 (2011)3. - ISSN 1461-9555 - p. 301 - 312.
Department(s) Fruit
Publication type Refereed Article in a scientific journal
Publication year 2011
Keyword(s) forficula-auricularia dermaptera - psylla cacopsylla-pyri - woolly apple aphid - eriosoma-lanigerum - codling moth - postdiapause development - different temperatures - development rates - species complex - l. dermaptera
Abstract 1 Phenological day degree models are often used as warning systems for the emergence of arthropod pests in agricultural crops or the occurrence of natural enemies of the pest species. In the present study, we report on a case study of the European earwig Forficula auricularia L., which is an important natural enemy in pipfruit orchards, and describe how such a day degree model can be used to avoid negative effects of crucial orchard management, such as spray applications and soil tillage. A precise timing of these interventions in relation to the phenology of natural enemies will enhance biocontrol. 2 Earwig population dynamics are characterized by single- and double-brood populations, each with specific biological characteristics. 3 A day degree model capable of predicting the phenology of local earwig populations of both population types was developed. The model was checked for accuracy by comparing the first field observation dates of various life stages with predicted values using temperature data from the nearest weather station. In addition, variation in development time was assessed using field data. 4 The model was able to make predictions on a global scale. Although single- and double-brood populations differ in phenology, the predictions of first appearance dates were similar. Variation in development time showed that single-brood populations were more synchronized. 5 Our phenological model provides an accurate tool for predicting and simulating earwig population dynamics, as well as for enhancing the biocontrol of pests in pipfruit orchards.
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