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Mediterranean fruit fly subplot hot spots prediction by experts' experience
Year:
2018
Source of publication :
Journal of Applied Entomology
Authors :
Blank, Lior
;
.
Volume :
142
Co-Authors:
Mendelsohn, O.
Dayan, T.
Aidlin-Harari, S.
Silberstein, M.
Orlov, V.
Facilitators :
From page:
371
To page:
379
(
Total pages:
9
)
Abstract:
The Mediterranean fruit fly (medfly), Ceratitis capitata (Wiedemann), is a major pest, infesting hundreds of crop types. Since current field monitoring is mostly manual, understanding the spatiotemporal patterns of pest emergence at the fine scale can optimize precise trap placement and site-specific treatment activities, also within area wide integrated pest management projects. We carried out a three-year study in deciduous orchards in Israel, testing for the existence of subplot hot spots in which medfly populations display small-scale aggregations over consecutive seasons, beyond the expected spatial variability resulting from host type and ripening sequence. medfly population increase in these locations often preceded or was parallel to infestations in surrounding orchards, suggesting that hot spots can provide an important tool for effective prediction and control of pest emergence. We also examined the use of expert knowledge to predict hot spot locations and suggest a methodology for verifying them.
Note:
Related Files :
area wide IPM
Expert knowledge
integrated pest management
medfly microscale aggregations
site-specific treatment
Spatial variability
Show More
Related Content
More details
DOI :
10.1111/jen.12483
Article number:
0
Affiliations:
Database:
Google Scholar
Publication Type:
article
;
.
Language:
Editors' remarks:
ID:
18336
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:18
Scientific Publication
Mediterranean fruit fly subplot hot spots prediction by experts' experience
142
Mendelsohn, O.
Dayan, T.
Aidlin-Harari, S.
Silberstein, M.
Orlov, V.
Mediterranean fruit fly subplot hot spots prediction by experts' experience
The Mediterranean fruit fly (medfly), Ceratitis capitata (Wiedemann), is a major pest, infesting hundreds of crop types. Since current field monitoring is mostly manual, understanding the spatiotemporal patterns of pest emergence at the fine scale can optimize precise trap placement and site-specific treatment activities, also within area wide integrated pest management projects. We carried out a three-year study in deciduous orchards in Israel, testing for the existence of subplot hot spots in which medfly populations display small-scale aggregations over consecutive seasons, beyond the expected spatial variability resulting from host type and ripening sequence. medfly population increase in these locations often preceded or was parallel to infestations in surrounding orchards, suggesting that hot spots can provide an important tool for effective prediction and control of pest emergence. We also examined the use of expert knowledge to predict hot spot locations and suggest a methodology for verifying them.
Scientific Publication
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