1. Financial benefit of using crop protection decision rules over systematic spraying strategies
- Author
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Jonathan Yuen, Manuel Plantegenest, Frédéric Fabre, Unité de Pathologie Végétale (PV), Institut National de la Recherche Agronomique (INRA), Biologie des organismes et des populations appliquées à la protection des plantes (BIO3P), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Recherche Agronomique (INRA), Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences (SLU), and Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-AGROCAMPUS OUEST
- Subjects
0106 biological sciences ,AGENT PHYTOPATHOGENE ,Phytopathology and phytopharmacy ,LUTTE INTEGREE ,CONTROL STRATEGIES ,ROC CURVE ,INTEGRATED CROP PROTECTION ,DECISION SUPPORT SYSTEM ,ANALYSE COUT BENEFICE ,ECONOMIC ADVANTAGE ,COURBE ROC ,CONTROLE ,Decision tree ,Plant Science ,Biology ,01 natural sciences ,prévision de rendement ,03 medical and health sciences ,économie de la production ,Business decision mapping ,Average cost ,modélisation ,030304 developmental biology ,Finance ,stratégie ,0303 health sciences ,business.industry ,aide à la décision ,prévision des risques ,Evidential reasoning approach ,Decision rule ,Phytopathologie et phytopharmacie ,innovation ,[SDV.BV.PEP]Life Sciences [q-bio]/Vegetal Biology/Phytopathology and phytopharmacy ,Quantitative analysis (finance) ,indicateur ,business ,Agronomy and Crop Science ,010606 plant biology & botany ,Optimal decision ,Decision analysis - Abstract
Fabre, F., Plantegenest, M., and Yuen, J. 2007. Financial benefit of using crop protection decision rules over systematic spraying strategies. Phytopathology 97:1484-1490. Decision rule models are considered to be one of the main cornerstones of the implementation of integrated pest management (IPM) programs. Even if the need for such programs to offer cost advantages over conventional strategies is a major incentive for IPM adoption, few studies focus on this financial dimension. In this article, a modeling approach of the response of a pathosystem to a disease control method and of the predictive performance of decision rules is used to explore how some basic factors act on the likelihood of adoption of decision rule models strategies (such as using an IPM system) over systematic strategies (such as systematic-spraying and never-spraying strategies). Even if the average cost of using the decision rule strategies is always lower than the average cost of systematic strategies in several different scenarios, the models developed here showed strong effects of different pathosystems and decision rules on financial benefits. The number of production situations where decision rules are of interest is highly correlated with their accuracy. However, because of the inescapable trade-offs between decision rule accuracy and limiting factors such as its user-friendly characteristics, the use of decision rules is unlikely to reduce costs to
- Published
- 2007
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