↓ Skip to main content

Control of the olive fruit fly using genetics-enhanced sterile insect technique

Overview of attention for article published in BMC Biology, June 2012
Altmetric Badge

Mentioned by

news
1 news outlet
twitter
6 X users
facebook
37 Facebook pages
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
131 Dimensions

Readers on

mendeley
192 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Control of the olive fruit fly using genetics-enhanced sterile insect technique
Published in
BMC Biology, June 2012
DOI 10.1186/1741-7007-10-51
Pubmed ID
Authors

Thomas Ant, Martha Koukidou, Polychronis Rempoulakis, Hong-Fei Gong, Aris Economopoulos, John Vontas, Luke Alphey

Abstract

The olive fruit fly, Bactrocera oleae, is the major arthropod pest of commercial olive production, causing extensive damage to olive crops worldwide. Current control techniques rely on spraying of chemical insecticides. The sterile insect technique (SIT) presents an alternative, environmentally friendly and species-specific method of population control. Although SIT has been very successful against other tephritid pests, previous SIT trials on olive fly have produced disappointing results. Key problems included altered diurnal mating rhythms of the laboratory-reared insects, resulting in asynchronous mating activity between the wild and released sterile populations, and low competitiveness of the radiation-sterilised mass-reared flies. Consequently, the production of competitive, male-only release cohorts is considered an essential prerequisite for successful olive fly SIT.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Morocco 1 <1%
Peru 1 <1%
Mexico 1 <1%
Luxembourg 1 <1%
Unknown 186 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 21%
Student > Ph. D. Student 32 17%
Student > Master 24 13%
Other 16 8%
Student > Bachelor 16 8%
Other 27 14%
Unknown 37 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 90 47%
Biochemistry, Genetics and Molecular Biology 30 16%
Environmental Science 8 4%
Computer Science 3 2%
Medicine and Dentistry 3 2%
Other 12 6%
Unknown 46 24%