Literature DB >> 30099518

The Distance Between Forests and Crops Affects the Abundance of Drosophila suzukii During Fruit Ripening, But Not During Harvest.

Fabian Cahenzli1, Irene Bühlmann2, Claudia Daniel1, Johannes Fahrentrapp2.   

Abstract

Drosophila suzukii (Matsumura; Diptera: Drosophilidae) is an invasive pest with the ability to reproduce not only in various soft fruit crops, but also in numerous wild hosts. Forests and forest edges harbor many wild hosts, provide suitable microclimatic conditions and are therefore thought to enhance the abundance of D. suzukii. Although the comprehension of pest activity based on specific landscape elements is important to implement efficient management strategies, knowledge of how forests affect the abundance of D. suzukii in nearby crops is very limited. We conducted a monitoring study with liquid baited traps across different crops at different distance from the forests. During fruit ripening, more flies were captured in crops closer to forests (22.21 % decrease per 500 m distance), whereas there was no significant relationship during harvest. Since color can affect the efficiency of D. suzukii traps, we have used traps either with a red or black lid. Acquired data suggest that traps with black lids capture significantly more flies than traps with red lids. We provide a quantitative estimation of how and when distance from adjacent forests affects the abundance of D. suzukii in crop fields. Our results can help consultants and farmers to estimate the pest pressure of D. suzukii in crop fields near forested, noncrop areas and to implement appropriate control strategies when D. suzukii populations increase and fruit becomes susceptible to infestation.

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Year:  2018        PMID: 30099518     DOI: 10.1093/ee/nvy116

Source DB:  PubMed          Journal:  Environ Entomol        ISSN: 0046-225X            Impact factor:   2.377


  3 in total

1.  Spotted Wing Drosophila in Sweet Cherry Orchards in Relation to Forest Characteristics, Bycatch, and Resource Availability.

Authors:  Ernest Ireneusz Hennig; Dominique Mazzi
Journal:  Insects       Date:  2018-09-13       Impact factor: 2.769

2.  Deep learning for automated detection of Drosophila suzukii: potential for UAV-based monitoring.

Authors:  Peter Pj Roosjen; Benjamin Kellenberger; Lammert Kooistra; David R Green; Johannes Fahrentrapp
Journal:  Pest Manag Sci       Date:  2020-04-20       Impact factor: 4.845

3.  Predation on Drosophila suzukii within Hedges in the Agricultural Landscape.

Authors:  Alexandra Siffert; Fabian Cahenzli; Patrik Kehrli; Claudia Daniel; Virginie Dekumbis; Barbara Egger; Jana Furtwengler; Camille Minguely; Nicola Stäheli; Franco Widmer; Dominique Mazzi; Jana Collatz
Journal:  Insects       Date:  2021-03-30       Impact factor: 2.769

  3 in total

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