Literature DB >> 21117876

Perceptions of risk, risk aversion, and barriers to adoption of decision support systems and integrated pest management: an introduction.

David H Gent1, Erick De Wolf, Sarah J Pethybridge.   

Abstract

Rational management of plant diseases, both economically and environmentally, involves assessing risks and the costs associated with both correct and incorrect tactical management decisions to determine when control measures are warranted. Decision support systems can help to inform users of plant disease risk and thus assist in accurately targeting events critical for management. However, in many instances adoption of these systems for use in routine disease management has been perceived as slow. The under-utilization of some decision support systems is likely due to both technical and perception constraints that have not been addressed adequately during development and implementation phases. Growers' perceptions of risk and their aversion to these perceived risks can be reasons for the "slow" uptake of decision support systems and, more broadly, integrated pest management (IPM). Decision theory provides some tools that may assist in quantifying and incorporating subjective and/or measured probabilities of disease occurrence or crop loss into decision support systems. Incorporation of subjective probabilities into IPM recommendations may be one means to reduce grower uncertainty and improve trust of these systems because management recommendations could be explicitly informed by growers' perceptions of risk and economic utility. Ultimately though, we suggest that an appropriate measure of the value and impact of decision support systems is grower education that enables more skillful and informed management decisions independent of consultation of the support tool outputs.

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Year:  2011        PMID: 21117876     DOI: 10.1094/PHYTO-04-10-0124

Source DB:  PubMed          Journal:  Phytopathology        ISSN: 0031-949X            Impact factor:   4.025


  7 in total

1.  Trade-off between disease resistance and crop yield: a landscape-scale mathematical modelling perspective.

Authors:  Martin Vyska; Nik Cunniffe; Christopher Gilligan
Journal:  J R Soc Interface       Date:  2016-10       Impact factor: 4.118

2.  Assessing expected utility and profitability to support decision-making for disease control strategies in ornamental heather production.

Authors:  Marius Ruett; Tobias Dalhaus; Cory Whitney; Eike Luedeling
Journal:  Precis Agric       Date:  2022-05-22       Impact factor: 5.767

3.  Modeling induced resistance to plant disease using a dynamical systems approach.

Authors:  Nurul S Abdul Latif; Graeme C Wake; Tony Reglinski; Philip A G Elmer; Joseph T Taylor
Journal:  Front Plant Sci       Date:  2013-02-18       Impact factor: 5.753

4.  Identifying highly connected counties compensates for resource limitations when evaluating national spread of an invasive pathogen.

Authors:  Sweta Sutrave; Caterina Scoglio; Scott A Isard; J M Shawn Hutchinson; Karen A Garrett
Journal:  PLoS One       Date:  2012-06-12       Impact factor: 3.240

5.  Development and validation of a weather-based model for predicting infection of loquat fruit by Fusicladium eriobotryae.

Authors:  Elisa González-Domínguez; Josep Armengol; Vittorio Rossi
Journal:  PLoS One       Date:  2014-09-18       Impact factor: 3.240

6.  Development of a Decision Support System for the Management of Mummy Berry Disease in Northwestern Washington.

Authors:  Mladen Cucak; Dalphy O C Harteveld; Lisa Wasko DeVetter; Tobin L Peever; Rafael de Andrade Moral; Chakradhar Mattupalli
Journal:  Plants (Basel)       Date:  2022-08-04

7.  A Mechanistic Model of Botrytis cinerea on Grapevines That Includes Weather, Vine Growth Stage, and the Main Infection Pathways.

Authors:  Elisa González-Domínguez; Tito Caffi; Nicola Ciliberti; Vittorio Rossi
Journal:  PLoS One       Date:  2015-10-12       Impact factor: 3.240

  7 in total

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