The Demographic Performance of a Laboratory Strain of Codling Moth, Cydia pomonella (Lepidoptera: Tortricidae)

1978 ◽  
Vol 15 (3) ◽  
pp. 679 ◽  
Author(s):  
P. W. Geier ◽  
D. T. Briese
2011 ◽  
Vol 38 (No. 1) ◽  
pp. 21-26 ◽  
Author(s):  
T. Zichová ◽  
V. Falta ◽  
F. Kocourek ◽  
J. Stará

The Cydia pomonella granulovirus is a very important agent for the biological control of the codling moth, Cydia pomonella, in both organic and integrated apple and pear production. Three populations of Cydia pomonella originating from three separate areas of the Czech Republic were tested for their susceptibility to Cydia pomonella granulovirus in laboratory bioassays at several concentrations of Cydia pomonella granulovirus. A sensitive laboratory strain was chosen as a control. The larval mortality was checked 14 days after the infection. The mortality of Cydia pomonella larvae was similar in specimens originating from both the wild populations and the laboratory strain. Decreased susceptibility to Cydia pomonella granulovirus was demonstrated neither in samples from locality without Cydia pomonella granulovirus treatment nor from a locality experimentally treated with Cydia pomonella granulovirus for several years during the registration process. However, one population experimentally treated for more than 10 years was partially resistant to Cydia pomonella granulovirus. Based on our findings; the Cydia pomonella granulovirus biopesticides will be efficient due to the high susceptibility of field codling moth populations to Cydia pomonella granulovirus in the Czech Republic.


Author(s):  
S.V. Dmitriyeva ◽  
◽  
I.M. Mityushev

This article presents the results of field screening of pheromone preparations of the codling moth, Cydia pomonella L., conducted in 2020 under conditions of the Central Region of the Russian Federation. The new «Tube» type dispensers were tested vs. standard foil-polyethylene dispenser.


Insects ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 207 ◽  
Author(s):  
Rachael Horner ◽  
Georgia Paterson ◽  
James T.S. Walker ◽  
George L.W. Perry ◽  
Rodelyn Jaksons ◽  
...  

Codling moth, Cydia pomonella (Lepidoptera: Tortricidae), is a phytosanitary pest of New Zealand’s export apples. The sterile insect technique supplements other controls in an eradication attempt at an isolated group of orchards in Hawke’s Bay, New Zealand. There has been no attempt in New Zealand to characterize potential sources of uncontrolled peri-urban populations, which we predicted to be larger than in managed orchards. We installed 200 pheromone traps across Hastings city, which averaged 0.32 moths/trap/week. We also mapped host trees around the pilot eradication orchards and installed 28 traps in rural Ongaonga, which averaged 0.59 moths/trap/week. In Hastings, traps in host trees caught significantly more males than traps in non-host trees, and spatial interpolation showed evidence of spatial clustering. Traps in orchards operating the most stringent codling moth management averaged half the catch rate of Hastings peri-urban traps. Orchards with less rigorous moth control had a 5-fold higher trap catch rate. We conclude that peri-urban populations are significant and ubiquitous, and that special measures to reduce pest prevalence are needed to achieve area-wide suppression and reduce the risk of immigration into export orchards. Because the location of all host trees in Hastings is not known, it could be more cost-effectively assumed that hosts are ubiquitous across the city and the area treated accordingly.


2012 ◽  
Vol 51 (9) ◽  
pp. 1633-1638 ◽  
Author(s):  
Martin Hirschi ◽  
Christoph Spirig ◽  
Andreas P. Weigel ◽  
Pierluigi Calanca ◽  
Jörg Samietz ◽  
...  

AbstractMonthly weather forecasts (MOFCs) were shown to have skill in extratropical continental regions for lead times up to 3 weeks, in particular for temperature and if weekly averaged. This skill could be exploited in practical applications for implementations exhibiting some degree of memory or inertia toward meteorological drivers, potentially even for longer lead times. Many agricultural applications fall into these categories because of the temperature-dependent development of biological organisms, allowing simulations that are based on temperature sums. Most such agricultural models require local weather information at daily or even hourly temporal resolution, however, preventing direct use of the spatially and temporally aggregated information of MOFCs, which may furthermore be subject to significant biases. By the example of forecasting the timing of life-phase occurrences of the codling moth (Cydia pomonella), which is a major insect pest in apple orchards worldwide, the authors investigate the application of downscaled weekly temperature anomalies of MOFCs for use in an impact model requiring hourly input. The downscaling and postprocessing included the use of a daily weather generator and a resampling procedure for creating hourly weather series and the application of a recalibration technique to correct for the original underconfidence of the forecast occurrences of codling moth life phases. Results show a clear skill improvement of up to 3 days in root-mean-square error over the full forecast range when incorporating MOFCs as compared with deterministic benchmark forecasts using climatological information for predicting the timing of codling moth life phases.


Nature ◽  
1961 ◽  
Vol 190 (4775) ◽  
pp. 561-562 ◽  
Author(s):  
P. W. GEIER
Keyword(s):  

2012 ◽  
Vol 111 (2) ◽  
pp. 136-142 ◽  
Author(s):  
Karin Undorf-Spahn ◽  
Eva Fritsch ◽  
Jürg Huber ◽  
Jutta Kienzle ◽  
Claus P.W. Zebitz ◽  
...  

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