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קהילה:
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פותח על ידי קלירמאש פתרונות בע"מ -
Development and Field Testing of a Spatial Decision Support System to Control Populations of the European Cherry Fruit Fly, Rhagoletis cerasi, in Commercial Orchards
Year:
2019
Source of publication :
Agronomy (Switzerland)
Authors :
נסטל, דוד
;
.
Volume :
Co-Authors:

Ioannou, C.S., Laboratory of Entomology and Agricultural Zoology, Department of Agriculture Crop Production and Rural Environment, University of Thessaly, Fytokou St., N. Ionia (Volos) Magnisia, 38446, Greece; Papanastasiou, S.A., Laboratory of Entomology and Agricultural Zoology, Department of Agriculture Crop Production and Rural Environment, University of Thessaly, Fytokou St., N. Ionia (Volos) Magnisia, 38446, Greece; Zarpas, K.D., Laboratory of Entomology and Agricultural Zoology, Department of Agriculture Crop Production and Rural Environment, University of Thessaly, Fytokou St., N. Ionia (Volos) Magnisia, 38446, Greece; Miranda, M.A., Applied Zoology and Animal Conservation Research Group, University of the Balearic Islands, UIB-INAGEA, Palma de Mallorca, 07122, Spain; Sciarretta, A., Department of Agriculture, Environmental and Food Sciences, University of Molise, via De Sanctis, Campobasso, 86100, Italy;Papadopoulos, N.T., Laboratory of Entomology and Agricultural Zoology, Department of Agriculture Crop Production and Rural Environment, University of Thessaly, Fytokou St., N. Ionia (Volos) Magnisia, 38446, Greece

Facilitators :
From page:
0
To page:
0
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Total pages:
1
)
Abstract:

The European cherry fruit fly, Rhagoletis cerasi (Diptera: Tephritidae), is a key pest for the cherry production industry in Europe and west Asia that has recently invaded North America. Insecticide applications are frequently employed to control this devastating pest, often without considering its population trends. We developed a novel decision support system (DSS), and field tested it in commercial sweet cherry orchards in central Greece. The DSS includes two algorithms that predict the timing of adult activity in the wild and support pest management decisions, based on R. cerasi population trends and pesticide properties, respectively. Preparatory monitoring of the testing area during 2014, using adult traps, revealed high population densities of R. cerasi in non-managed sweet cherry orchards and low densities in commercial ones. Implementation of the DSS during 2015 resulted in low R. cerasi adult population densities and zero fruit infestation rates in commercial cherry orchards. Similar population and infestation rates were recorded in conventionally treated plots that received on average two insecticide applications compared to the one-half that the DSS treated plots received. Simultaneously, high population densities and fruit infestation rates were recorded in non-managed cherry orchards. Apparently, the implementation of the simple DSS we developed reduces the cost of R. cerasi management and minimizes the chemical footprint on both the harvested fruit and the environment. © 2019 by the authors.

Note:
Related Files :
integrated pest management
precision agriculture
Spatial decision support systems
עוד תגיות
תוכן קשור
More details
DOI :
Article number:
568
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
44208
Last updated date:
02/03/2022 17:27
Creation date:
10/10/2019 11:01
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Scientific Publication
Development and Field Testing of a Spatial Decision Support System to Control Populations of the European Cherry Fruit Fly, Rhagoletis cerasi, in Commercial Orchards

Ioannou, C.S., Laboratory of Entomology and Agricultural Zoology, Department of Agriculture Crop Production and Rural Environment, University of Thessaly, Fytokou St., N. Ionia (Volos) Magnisia, 38446, Greece; Papanastasiou, S.A., Laboratory of Entomology and Agricultural Zoology, Department of Agriculture Crop Production and Rural Environment, University of Thessaly, Fytokou St., N. Ionia (Volos) Magnisia, 38446, Greece; Zarpas, K.D., Laboratory of Entomology and Agricultural Zoology, Department of Agriculture Crop Production and Rural Environment, University of Thessaly, Fytokou St., N. Ionia (Volos) Magnisia, 38446, Greece; Miranda, M.A., Applied Zoology and Animal Conservation Research Group, University of the Balearic Islands, UIB-INAGEA, Palma de Mallorca, 07122, Spain; Sciarretta, A., Department of Agriculture, Environmental and Food Sciences, University of Molise, via De Sanctis, Campobasso, 86100, Italy;Papadopoulos, N.T., Laboratory of Entomology and Agricultural Zoology, Department of Agriculture Crop Production and Rural Environment, University of Thessaly, Fytokou St., N. Ionia (Volos) Magnisia, 38446, Greece

Development and Field Testing of a Spatial Decision Support System to Control Populations of the European Cherry Fruit Fly, Rhagoletis cerasi, in Commercial Orchards

The European cherry fruit fly, Rhagoletis cerasi (Diptera: Tephritidae), is a key pest for the cherry production industry in Europe and west Asia that has recently invaded North America. Insecticide applications are frequently employed to control this devastating pest, often without considering its population trends. We developed a novel decision support system (DSS), and field tested it in commercial sweet cherry orchards in central Greece. The DSS includes two algorithms that predict the timing of adult activity in the wild and support pest management decisions, based on R. cerasi population trends and pesticide properties, respectively. Preparatory monitoring of the testing area during 2014, using adult traps, revealed high population densities of R. cerasi in non-managed sweet cherry orchards and low densities in commercial ones. Implementation of the DSS during 2015 resulted in low R. cerasi adult population densities and zero fruit infestation rates in commercial cherry orchards. Similar population and infestation rates were recorded in conventionally treated plots that received on average two insecticide applications compared to the one-half that the DSS treated plots received. Simultaneously, high population densities and fruit infestation rates were recorded in non-managed cherry orchards. Apparently, the implementation of the simple DSS we developed reduces the cost of R. cerasi management and minimizes the chemical footprint on both the harvested fruit and the environment. © 2019 by the authors.

Scientific Publication
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