scholarly journals The electronic McPhail trap

2014 ◽  
Author(s):  
Ilyas Potamitis ◽  
Iraklis Rigakis
Keyword(s):  
Hardware Implementation ◽  
Fruit Fly ◽  
Automatic Monitoring ◽  
Olive Fruit Fly ◽  
Wing Beat ◽  
The Core ◽  
Insect Trap ◽  
Insect Infestations ◽  
Mcphail Trap ◽  
Monitoring Traps

Certain insects affect cultivations in a detrimental way. A notable case is the Olive fruit fly Bactrocera oleae (Diptera: Tephritidae) that in Europe alone causes billions of euros crop loss per year. Pests can be controlled with aerial and ground bait pesticide sprays, the efficiency of which depends on knowing the time and location of insect infestations as early as possible. The inspection of traps is currently carried out manually. Automatic monitoring traps can enhance efficient monitoring of flying pests by identifying and counting targeted pests as they enter the trap. This work deals with the hardware setup of an insect trap with an embedded opto-electronic sensor that automatically records insects as they fly in the trap. The sensors responsible for detecting the insect is an array of phototransistors receiving light from an infrared LED. The wing-beat recording is based on the interruption of the emitted light due to the partial occlusion from insect’s wings. We show that the recording are of high quality paving the way for automatic recognition and transmission of insect detections from the field to a smartphone. This work emphasizes the hardware implementation of the core sensor giving all necessary implementation details needed to construct it.

scholarly journals The electronic McPhail trap

2014 ◽  
Author(s):  
Ilyas Potamitis ◽  
Iraklis Rigakis
Keyword(s):  
Hardware Implementation ◽  
Fruit Fly ◽  
Automatic Monitoring ◽  
Olive Fruit Fly ◽  
Wing Beat ◽  
The Core ◽  
Insect Trap ◽  
Insect Infestations ◽  
Mcphail Trap ◽  
Monitoring Traps

Certain insects affect cultivations in a detrimental way. A notable case is the Olive fruit fly Bactrocera oleae (Diptera: Tephritidae) that in Europe alone causes billions of euros crop loss per year. Pests can be controlled with aerial and ground bait pesticide sprays, the efficiency of which depends on knowing the time and location of insect infestations as early as possible. The inspection of traps is currently carried out manually. Automatic monitoring traps can enhance efficient monitoring of flying pests by identifying and counting targeted pests as they enter the trap. This work deals with the hardware setup of an insect trap with an embedded opto-electronic sensor that automatically records insects as they fly in the trap. The sensors responsible for detecting the insect is an array of phototransistors receiving light from an infrared LED. The wing-beat recording is based on the interruption of the emitted light due to the partial occlusion from insect’s wings. We show that the recording are of high quality paving the way for automatic recognition and transmission of insect detections from the field to a smartphone. This work emphasizes the hardware implementation of the core sensor giving all necessary implementation details needed to construct it.

scholarly journals Inferring Modes of Colonization for Pest Species Using Heterozygosity Comparisons and a Shared-Allele Test

Genetics ◽  
2003 ◽  
Vol 163 (2) ◽  
pp. 823-831
Author(s):  
J A Sved ◽  
H Yu ◽  
B Dominiak ◽  
A S Gilchrist
Keyword(s):  
Distance Measure ◽  
Fruit Fly ◽  
Small Samples ◽  
Pest Species ◽  
Long Distance ◽  
Resampling Methods ◽  
Shared Allele ◽  
The Core ◽  
Direct Sampling ◽  
Long Distance Movement

Abstract Long-range dispersal of a species may involve either a single long-distance movement from a core population or spreading via unobserved intermediate populations. Where the new populations originate as small propagules, genetic drift may be extreme and gene frequency or assignment methods may not prove useful in determining the relation between the core population and outbreak samples. We describe computationally simple resampling methods for use in this situation to distinguish between the different modes of dispersal. First, estimates of heterozygosity can be used to test for direct sampling from the core population and to estimate the effective size of intermediate populations. Second, a test of sharing of alleles, particularly rare alleles, can show whether outbreaks are related to each other rather than arriving as independent samples from the core population. The shared-allele statistic also serves as a genetic distance measure that is appropriate for small samples. These methods were applied to data on a fruit fly pest species, Bactrocera tryoni, which is quarantined from some horticultural areas in Australia. We concluded that the outbreaks in the quarantine zone came from a heterogeneous set of genetically differentiated populations, possibly ones that overwinter in the vicinity of the quarantine zone.

scholarly journals The genetics of Dacus oleae: III. Amount of variation at two esterase loci in a Greek population

1969 ◽  
Vol 14 (3) ◽  
pp. 249-258 ◽  
Author(s):  
E. Zouros ◽  
C. B. Krimbas
Keyword(s):  
Allele Frequency ◽  
Fruit Fly ◽  
Olive Fruit Fly ◽  
Allele Frequency Distribution ◽  
Natural Conditions ◽  
Dacus Oleae ◽  
Random Drift ◽  
Selective Neutrality ◽  
Esterase Loci ◽  
Silent Allele

Two polymorphic esterase loci, EstA and EstB, of the olive-fruit fly Dacus oleae were studied in a natural population. The analysis of about 500 individuals revealed the presence of 15 alleles for EstA and 12 alleles for EstB. A ‘silent’ allele was found segregating at both loci. Segregation data for most of the alleles are presented. The allele frequency distribution follows the same pattern at both loci: one allele of each gene has a frequency of nearly 0·50, a few have frequencies between 0·05 and 0·15 and many are below 0·05. Two main hypotheses, those of overdominance and selective neutrality, were examined in order to explain these polymorphisms. We deduced that under both hypotheses a relatively high mutation rate is necessary to balance the result of random drift. This rate was estimated to be higher than 4 × 10−5 for the EstA locus. Since homozygotes for the ‘silent’ allele at the first or at the second locus were found in the population in expected frequencies, it was concluded that these alleles are not inferior to active ones under natural conditions.

Dynamics of oil quality parameters changes related to olive fruit fly attack

2010 ◽  
Vol 112 (9) ◽  
pp. 1033-1040 ◽  
Author(s):  
Olivera Koprivnjak ◽  
Ivana Dminić ◽  
Urška Kosić ◽  
Valerija Majetić ◽  
Sara Godena ◽  
...  
Keyword(s):  
Oil Quality ◽  
Fruit Fly ◽  
Quality Parameters ◽  
Olive Fruit Fly ◽  
Olive Fruit

scholarly journals Stochastic Modeling and Simulation of Olive Fruit Fly Outbreaks

2013 ◽  
Vol 8 ◽  
pp. 580-586 ◽  
Author(s):  
Spyros Voulgaris ◽  
Michalis Stefanidakis ◽  
Andreas Floros ◽  
Markos Avlonitis
Keyword(s):  
Modeling And Simulation ◽  
Stochastic Modeling ◽  
Fruit Fly ◽  
Olive Fruit Fly ◽  
Olive Fruit
Sign in / Sign up

Export Citation Format

Share Document