Riccardo Scalenghe

Università degli Studi di Palermo
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Articles (14)

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Plant pathogens are commonly identified in the field by the typical disease symptoms that they can cause. The efficient early detection and identification of pathogens are essential procedures to adopt effective management practices that reduce or prevent their spread in order to mitigate the negative impacts of the disease. In this review, the traditional and innovative methods for early detection of the plant pathogens highlighting their major advantages and limitations are presented and discussed. Traditional techniques of diagnosis used for plant pathogen identification are focused typically on the DNA, RNA (when molecular methods), and proteins or peptides (when serological methods) of the pathogens. Serological methods based on mainly enzyme‐linked immunosorbent assay (ELISA) are the most common method used for pathogen detection due to their high‐throughput potential and low cost. This technique is not particularly reliable and sufficiently sensitive for many pathogens detection during the asymptomatic stage of infection. For non‐cultivable pathogens in the laboratory, nucleic acid‐based technology is the best choice for consistent pathogen detection or identification. Lateral flow systems are innovative tools that allow fast and accurate results even in field conditions, but they have sensitivity issues to be overcome. PCR assays performed on last‐generation portable thermocyclers may provide rapid detection results in situ . The advent of portable instruments can speed pathogen detection, reduce commercial costs, and potentially revolutionize plant pathology. This review provides information on current methodologies and procedures for the effective detection of different plant pathogens. © 2023 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Collaborators (7)

Federico Martinelli

-

ITALY
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Filippo Saiano

University of Palermo

ITALY
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Antonio Delgado

Professor

Universidad de Sevilla

SPAIN
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Sonia Ravera

Professore associato

Università degli Studi di Palermo

ITALY
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Cristina Malegori

University of Genoa

ITALY
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Giuseppe Venturella

Full Professor

University of Palermo

ITALY
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lorenzo gianguzzi

Associate professor

University of Palermo

ITALY
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