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Detection and Diagnostics of Plant Pathogens

Overview of attention for book
Cover of 'Detection and Diagnostics of Plant Pathogens'

Table of Contents

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    Book Overview
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    Chapter 1 New Developments in Identification and Quantification of Airborne Inoculum
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    Chapter 2 siRNA Deep Sequencing and Assembly: Piecing Together Viral Infections
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    Chapter 3 Use of Airborne Inoculum Detection for Disease Management Decisions
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    Chapter 4 Proximal Sensing of Plant Diseases
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    Chapter 5 Diagnostic Challenges for the Detection of Emerging Pathogens: A Case Study Involving the Incursion of Pseudomonas syringae pv. actinidiae in New Zealand
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    Chapter 6 Detection of Human Pathogens on Plants
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    Chapter 7 Plant Disease Diagnostics for Forensic Applications
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    Chapter 8 Results of the EU Project QBOL, Focusing on DNA Barcoding of Quarantine Organisms, Added to an International Database (Q-Bank) on Identification of Plant Quarantine Pathogens and Relatives
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    Chapter 9 On-Site Testing: Moving Decision Making from the Lab to the Field
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    Chapter 10 Virtual Diagnostic Networks: A Platform for Collaborative Diagnostics
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    Chapter 11 Development and Implementation of Rapid and Specific Detection Techniques for Seed-Borne Pathogens of Leafy Vegetable Crops
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    Chapter 12 Diagnosis of Plant Pathogens and Implications for Plant Quarantine: A Risk Assessment Perspective
Attention for Chapter 11: Development and Implementation of Rapid and Specific Detection Techniques for Seed-Borne Pathogens of Leafy Vegetable Crops
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Citations

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Chapter title
Development and Implementation of Rapid and Specific Detection Techniques for Seed-Borne Pathogens of Leafy Vegetable Crops
Chapter number 11
Book title
Detection and Diagnostics of Plant Pathogens
Published by
Springer, Dordrecht, January 2014
DOI 10.1007/978-94-017-9020-8_11
Book ISBNs
978-9-40-179019-2, 978-9-40-179020-8
Authors

M. Lodovica Gullino, Giovanna Gilardi, Giuseppe Ortu, Angelo Garibaldi

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 67%
Unknown 1 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 67%
Unknown 1 33%

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