Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractTree fruit IPM programs in the western United States: the challenge of enhancing biological control through intensive management    Next Abstract"Predicting the emergence of the codling moth, Cydia pomonella (Lepidoptera: Tortricidae), on a degree-day scale in North America" »

Pest Manag Sci


Title:A web-based decision support system to enhance IPM programs in Washington tree fruit
Author(s):Jones VP; Brunner JF; Grove GG; Petit B; Tangren GV; Jones WE;
Address:"Washington State University, Tree Fruit Research and Extension Center, Wenatchee, WA, USA. vpjones@wsu.edu"
Journal Title:Pest Manag Sci
Year:2010
Volume:66
Issue:6
Page Number:587 - 595
DOI: 10.1002/ps.1913
ISSN/ISBN:1526-4998 (Electronic) 1526-498X (Linking)
Abstract:"BACKGROUND: Integrated pest management (IPM) decision-making has become more information intensive in Washington State tree crops in response to changes in pesticide availability, the development of new control tactics (such as mating disruption) and the development of new information on pest and natural enemy biology. The time-sensitive nature of the information means that growers must have constant access to a single source of verified information to guide management decisions. RESULTS: The authors developed a decision support system for Washington tree fruit growers that integrates environmental data [140 Washington State University (WSU) stations plus weather forecasts from NOAA], model predictions (ten insects, four diseases and a horticultural model), management recommendations triggered by model status and a pesticide database that provides information on non-target impacts on other pests and natural enemies. A user survey in 2008 found that the user base was providing recommendations for most of the orchards and acreage in the state, and that users estimated the value at $ 16 million per year. CONCLUSIONS: The design of the system facilitates education on a range of time-sensitive topics and will make it possible easily to incorporate other models, new management recommendations or information from new sensors as they are developed"
Keywords:Data Collection *Decision Support Techniques *Fruit *Internet Knowledge Pest Control/*methods *Trees User-Computer Interface Washington;
Notes:"MedlineJones, Vincent P Brunner, Jay F Grove, Gary G Petit, Brad Tangren, Gerald V Jones, Wendy E eng Research Support, Non-U.S. Gov't England 2010/02/04 Pest Manag Sci. 2010 Jun; 66(6):587-95. doi: 10.1002/ps.1913"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 05-12-2024