Plant Pest Modeling
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Plant Pest Modeling
About computer systems using forecasting models, databases and decision support schemes in managing plant pest interactions with crop/canopy and weather/climatic data
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Automated pest monitoring - trapview

Automated pest monitoring - trapview | Plant Pest Modeling | Scoop.it
System, which combines electronic pheromone traps and advanced software to provide real time monitoring of pest situation in the field
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Yesterday at the Slovenian plant protection conference I checked again how this system has improved the quality of photos of trapped insects: no problem to identify and quantify them. Wise solution for remote locations.

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Hierarchical Bayesian models for estimating the extent of plant pest invasions | QUT ePrints

Hierarchical Bayesian models for estimating the extent of plant pest invasions | QUT ePrints | Plant Pest Modeling | Scoop.it
Stanaway, Mark Andrew (2011) Hierarchical Bayesian models for estimating the extent of plant pest invasions. PhD thesis, Queensland University of Technology.


The thesis contributes novel statistical approaches to estimating the extent of pests and develops applications to assist decision-making across a range of plant biosecurity surveillance activities.

Hierarchical Bayesian models provide a cohesive statistical framework that can formally integrate the available information on both pest ecology and data. The overarching method involves constructing an observation model for the surveillance data, conditional on the hidden extent of the pest and uncertain detection sensitivity. The extent of the pest is then modelled as a dynamic invasion process that includes uncertainty in ecological parameters. Modelling approaches to assimilate this information are explored through case studies on spiralling whitefly, Aleurodicus dispersus and red banded mango caterpillar, Deanolis sublimbalis.

Statistical methods, based on time-to-event models, are developed to apply hierarchical Bayesian models to early detection programs and to demonstrate area freedom from pests. The value of early detection surveillance programs is demonstrated through an application to interpret surveillance data for exotic plant pests with uncertain spread rates. 

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Organic Eprints - Monitoring Agriotes lineatus and A. obscurus in organic production using pheromone traps

Organic Eprints - Monitoring Agriotes lineatus and A. obscurus in organic production using pheromone traps | Plant Pest Modeling | Scoop.it

Wireworms, particularly Agriotes lineatus and A. obscurus are becoming a problem in organic crop production causing economically severe damage on potatoes and other arable crops. Since pesticide application for direct control is not allowed in organic farming, reliable methods for quantifying wireworm infestation levels and forecasting damage are urgently needed for any control strategy. In the present work, the assessment of the range of attractiveness of pheromone traps to male A. lineatus and A. obscurus beetles was investigated in 2006 and 2007. The results indicated that the trap recovery rate of released beetles was more dependent on release distance than on time. Recovery rates greater than 40% were only noted for short release distances (up to 10 m), while less than 10% of the beetles released at a distance of 60 m returned to the traps. Recovery rates of click beetles were also negatively affected by cold and wet weather conditions. Most of the beetles were recovered within the first 3 days.

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Interactive Effects of Temperature and Leaf Wetness Duration - Cucurbit Downy Mildew

Interactive Effects of Temperature and Leaf Wetness Duration - Cucurbit Downy Mildew | Plant Pest Modeling | Scoop.it

Outbreaks of cucurbit downy mildew caused by Pseudoperonospora cubensis are dependent on the weather but effects of temperature and leaf wetness duration on infection have not been studied for different cucurbits. To determine the effects of these two weather variables on sporangia germination and infection of cucurbit host types by P. cubensis, three host types; cucumber, cantaloupe, and acorn squash, were inoculated and exposed to leaf wetness durations of 2 to 24 h at six constant temperatures ranging from 5 to 30°C in growth-chamber experiments


Interactive effects of temperature and leaf wetness duration on sporangia germination and infection of cucurbit hosts by P. cubensis were used on risk charts based on prevailing or forecasted temperature and leaf wetness duration. These results will improve the timing and application of the initial fungicide spray for the control of cucurbit downy mildew.



Neufeld KN & Ojiambo PS (2012) Interactive Effects of Temperature and Leaf Wetness Duration on Sporangia Germination and Infection of Cucurbit Hosts by Pseudoperonospora cubensis. Plant Disease - 96(3):345-353. 

http://dx.doi.org/10.1094/PDIS-07-11-0560 

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