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Control of Plant Virus Diseases

Authors: Roger A C, Jones;

Control of Plant Virus Diseases

Abstract

Publisher Summary This chapter emphasizes the importance of dissecting the different ways in which diverse types of virus control measures operate before taking decisions on which to deploy. Some control measures are nonselective affecting a wide range of viral pathogens or their vectors, but others are selective targeting a particular virus or vector species and may not be transferable between pathosystems. When combining control measures within integrated disease management (IDM) strategies, success is optimized by including measures that are selective and others that are non-selective, that address both kinds of sources and phases of virus spread, and that operate in as many different ways as possible. This also applies when devising ‘interim IDM strategies' to address short-term control needs. Such strategies are necessary when information on the effectiveness of control measures for the pathosystem concerned is insufficient, but the farmers' need to take remedial action is immediate. This chapter also addresses how to determine the effectiveness and reliability of control measures used alone or in combination, economic issues associated with deciding whether one or more measures should be deployed, the ‘big picture’ problems that increasingly hinder success in tackling virus diseases and the exciting opportunities provided by new technologies.

Related Organizations
Keywords

Virus Diseases, Plant Diseases, Plant Viruses

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
54
Top 10%
Top 10%
Top 10%
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