NDLI: Perceptions of disease risk: from social construction of subjective judgments to rational decision making.

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Genetic analysis of the resistance to eight anthracnose races in the common bean differential cultivar Kaboon.

Analysis of the resistance-breaking ability of different beet necrotic yellow vein virus isolates loaded into a single Polymyxa betae population in soil.

Perceptions of disease risk: from social construction of subjective judgments to rational decision making.

Root treatment with rhizobacteria antagonistic to Phytophthora blight affects anthracnose occurrence, ripening, and yield of pepper fruit in the plastic house and field.

Spatial sampling to detect an invasive pathogen outside of an eradication zone.

Multiple loci condition seed transmission of soybean mosaic virus (SMV) and SMV-induced seed coat mottling in soybean.

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Perceptions of disease risk: from social construction of subjective judgments to rational decision making.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	McRoberts, N. Hall, C. Madden, L. V. Hughes, G.
Description	Country affiliation: United States Author Affiliation: McRoberts N ( Plant Pathology Department, University of California, Davis, CA 95616-8751, USA. nmcroberts@ucdavis.edu)
Abstract	Many factors influence how people form risk perceptions. Farmers' perceptions of risk and levels of risk aversion impact on decision-making about such things as technology adoption and disease management practices. Irrespective of the underlying factors that affect risk perceptions, those perceptions can be summarized by variables capturing impact and uncertainty components of risk. We discuss a new framework that has the subjective probability of disease and the cost of decision errors as its central features, which might allow a better integration of social science and epidemiology, to the benefit of plant disease management. By focusing on the probability and cost (or impact) dimensions of risk, the framework integrates research from the social sciences, economics, decision theory, and epidemiology. In particular, we review some useful properties of expected regret and skill value, two measures of expected cost that are particularly useful in the evaluation of decision tools. We highlight decision-theoretic constraints on the usefulness of decision tools that may partly explain cases of failure of adoption. We extend this analysis by considering information-theoretic criteria that link model complexity and relative performance and which might explain why users reject forecasters that impose even moderate increases in the complexity of decision making despite improvements in performance or accept very simple decision tools that have relatively poor performance.
File Format	HTM / HTML
ISSN	0031949X
e-ISSN	19437684
Journal	Phytopathology
Issue Number	6
Volume Number	101
Language	English
Publisher	The American Phytopathological Society
Publisher Date	2011-06-01
Publisher Place	United States
Access Restriction	Open
Subject Keyword	Discipline Botany Decision Making Plant Diseases Prevention & Control Statistics & Numerical Data Agriculture Decision Theory Models, Theoretical Probability Uncertainty Research Support, Non-u.s. Gov't
Content Type	Text
Resource Type	Article
Subject	Plant Science Agronomy and Crop Science

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