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Safa Oufensou

Junior Researcher (RTDa)

University of Sassari
Country flagItaly

Research Interests

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Articles (15)

Year:

2026

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2026

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2026

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2026

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2025

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2024

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2023

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2023

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2023

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

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2023

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2023

Year:

2023

Collaborators (9)

Andrea ONOFRI

Associate Professor

Università degli Studi di Napoli Federico II

ITALY
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Riccardo Scalenghe

Università degli Studi di Palermo

ITALY
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Federico Martinelli

-

ITALY
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Giovanni Beccari

-

ITALY
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Marcos de la Peña

Staff Scientist

CSIC

SPAIN
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Federica Bono

Associate Professor

University of Brescia

ITALY
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Virgilio Balmas

Professore Associato

University of Sassari

ITALY
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Quirico Migheli

Professor of Plant Pathology

University of Sassari

ITALY
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Patrizia Stipcich

Ricercatori a tempo determinato

Università degli Studi di Napoli Federico II

ITALY
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