Integrating kairomonal tools into a codling moth area-wide SIT program

2016 ◽  
Author(s):  
Gary J.R. Judd
Keyword(s):  
Codling Moth

The results of field trials of the codling moth pheromone preparations in 2020

2020 ◽  
Author(s):  
S.V. Dmitriyeva ◽  
◽  
I.M. Mityushev
Keyword(s):  
Russian Federation ◽  
Central Region ◽  
Cydia Pomonella ◽  
Codling Moth ◽  
Field Trials ◽  
Field Screening ◽  
Tube Type ◽  
The Russian Federation ◽  
Polyethylene Dispenser

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.

scholarly journals Biological Control of a Phytosanitary Pest (Thaumatotibia leucotreta): A Case Study

2021 ◽  
Vol 18 (3) ◽  
pp. 1198
Author(s):  
Sean D. Moore
Keyword(s):  
Biological Control ◽  
Systems Approach ◽  
Microbial Control ◽  
Codling Moth ◽  
Environmental Safety ◽  
Control Measures ◽  
Sub Saharan Africa ◽  
The European Union ◽  
Thaumatotibia Leucotreta ◽  
Sub Saharan

Thaumatotibia leucotreta, known as the false codling moth, is a pest of citrus and other crops in sub-Saharan Africa. As it is endemic to this region and as South Africa exports most of its citrus around the world, T. leucotreta has phytosanitary status for most markets. This means that there is zero tolerance for any infestation with live larvae in the market. Consequently, control measures prior to exporting must be exemplary. Certain markets require a standalone postharvest disinfestation treatment for T. leucotreta. However, the European Union accepts a systems approach, consisting of three measures and numerous components within these measures. Although effective preharvest control measures are important under all circumstances, they are most critical where a standalone postharvest disinfestation treatment is not applied, such as within a systems approach. Conventional wisdom may lead a belief that effective chemical control tools are imperative to achieve this end. However, we demonstrate that it is possible to effectively control T. leucotreta to a level acceptable for a phytosanitary market, using only biological control tools. This includes parasitoids, predators, microbial control, semiochemicals, and sterile insects. Simultaneously, on-farm and environmental safety is improved and compliance with the increasing stringency of chemical residue requirements imposed by markets is achieved.

scholarly journals Will Peri-Urban Cydia pomonella (Lepidoptera: Tortricidae) Challenge Local Eradication?

Insects ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 207 ◽  
Author(s):  
Rachael Horner ◽  
Georgia Paterson ◽  
James T.S. Walker ◽  
George L.W. Perry ◽  
Rodelyn Jaksons ◽  
...  
Keyword(s):  
New Zealand ◽  
Spatial Interpolation ◽  
Spatial Clustering ◽  
Cydia Pomonella ◽  
Codling Moth ◽  
Catch Rate ◽  
Trap Catch ◽  
Urban Populations ◽  
Host Trees ◽  
The City

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.

scholarly journals Monthly Weather Forecasts in a Pest Forecasting Context: Downscaling, Recalibration, and Skill Improvement

2012 ◽  
Vol 51 (9) ◽  
pp. 1633-1638 ◽  
Author(s):  
Martin Hirschi ◽  
Christoph Spirig ◽  
Andreas P. Weigel ◽  
Pierluigi Calanca ◽  
Jörg Samietz ◽  
...  
Keyword(s):  
Insect Pest ◽  
Cydia Pomonella ◽  
Codling Moth ◽  
Lead Times ◽  
Practical Applications ◽  
Weather Forecasts ◽  
Weather Information ◽  
Agricultural Applications ◽  
Resampling Procedure ◽  
Skill Improvement

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.

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