Advanced methods of plant disease detection. A review

Federico Martinelli, Riccardo Scalenghe, Salvatore Davino, Stefano Panno, Giuseppe Scuderi, Paolo Ruisi, Paolo Villa, Daniela Stroppiana, Mirco Boschetti, Luiz R. Goulart, Cristina E Davis, Abhaya M. Dandekar

Research output: Contribution to journalArticle

138 Citations (Scopus)

Abstract

Plant diseases are responsible for major economic losses in the agricultural industry worldwide. Monitoring plant health and detecting pathogen early are essential to reduce disease spread and facilitate effective management practices. DNA-based and serological methods now provide essential tools for accurate plant disease diagnosis, in addition to the traditional visual scouting for symptoms. Although DNA-based and serological methods have revolutionized plant disease detection, they are not very reliable at asymptomatic stage, especially in case of pathogen with systemic diffusion. They need at least 1–2 days for sample harvest, processing, and analysis. Here, we describe modern methods based on nucleic acid and protein analysis. Then, we review innovative approaches currently under development. Our main findings are the following: (1) novel sensors based on the analysis of host responses, e.g., differential mobility spectrometer and lateral flow devices, deliver instantaneous results and can effectively detect early infections directly in the field; (2) biosensors based on phage display and biophotonics can also detect instantaneously infections although they can be integrated with other systems; and (3) remote sensing techniques coupled with spectroscopy-based methods allow high spatialization of results, these techniques may be very useful as a rapid preliminary identification of primary infections. We explain how these tools will help plant disease management and complement serological and DNA-based methods. While serological and PCR-based methods are the most available and effective to confirm disease diagnosis, volatile and biophotonic sensors provide instantaneous results and may be used to identify infections at asymptomatic stages. Remote sensing technologies will be extremely helpful to greatly spatialize diagnostic results. These innovative techniques represent unprecedented tools to render agriculture more sustainable and safe, avoiding expensive use of pesticides in crop protection.

Original languageEnglish (US)
Pages (from-to)1-25
Number of pages25
JournalAgronomy for Sustainable Development
Volume35
Issue number1
DOIs
StatePublished - 2015

Fingerprint

disease detection
plant diseases and disorders
DNA
Pathogens
Remote sensing
methodology
disease diagnosis
infection
Bacteriophages
sensors (equipment)
remote sensing
Nucleic acids
Sensors
Pesticides
pesticidal plants
Biosensors
Agriculture
Crops
Spectrometers
plant health

Keywords

  • Biophotonics
  • Commercial kits
  • DNA-based methods
  • Immunological assays
  • Plant disease
  • Remote sensing
  • Spectroscopy
  • Volatile organic compounds

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Environmental Engineering

Cite this

Martinelli, F., Scalenghe, R., Davino, S., Panno, S., Scuderi, G., Ruisi, P., ... Dandekar, A. M. (2015). Advanced methods of plant disease detection. A review. Agronomy for Sustainable Development, 35(1), 1-25. https://doi.org/10.1007/s13593-014-0246-1

Advanced methods of plant disease detection. A review. / Martinelli, Federico; Scalenghe, Riccardo; Davino, Salvatore; Panno, Stefano; Scuderi, Giuseppe; Ruisi, Paolo; Villa, Paolo; Stroppiana, Daniela; Boschetti, Mirco; Goulart, Luiz R.; Davis, Cristina E; Dandekar, Abhaya M.

In: Agronomy for Sustainable Development, Vol. 35, No. 1, 2015, p. 1-25.

Research output: Contribution to journalArticle

Martinelli, F, Scalenghe, R, Davino, S, Panno, S, Scuderi, G, Ruisi, P, Villa, P, Stroppiana, D, Boschetti, M, Goulart, LR, Davis, CE & Dandekar, AM 2015, 'Advanced methods of plant disease detection. A review', Agronomy for Sustainable Development, vol. 35, no. 1, pp. 1-25. https://doi.org/10.1007/s13593-014-0246-1
Martinelli F, Scalenghe R, Davino S, Panno S, Scuderi G, Ruisi P et al. Advanced methods of plant disease detection. A review. Agronomy for Sustainable Development. 2015;35(1):1-25. https://doi.org/10.1007/s13593-014-0246-1
Martinelli, Federico ; Scalenghe, Riccardo ; Davino, Salvatore ; Panno, Stefano ; Scuderi, Giuseppe ; Ruisi, Paolo ; Villa, Paolo ; Stroppiana, Daniela ; Boschetti, Mirco ; Goulart, Luiz R. ; Davis, Cristina E ; Dandekar, Abhaya M. / Advanced methods of plant disease detection. A review. In: Agronomy for Sustainable Development. 2015 ; Vol. 35, No. 1. pp. 1-25.
@article{6da837bfb8fa4b1aa85498127d0d8f05,
title = "Advanced methods of plant disease detection. A review",
abstract = "Plant diseases are responsible for major economic losses in the agricultural industry worldwide. Monitoring plant health and detecting pathogen early are essential to reduce disease spread and facilitate effective management practices. DNA-based and serological methods now provide essential tools for accurate plant disease diagnosis, in addition to the traditional visual scouting for symptoms. Although DNA-based and serological methods have revolutionized plant disease detection, they are not very reliable at asymptomatic stage, especially in case of pathogen with systemic diffusion. They need at least 1–2 days for sample harvest, processing, and analysis. Here, we describe modern methods based on nucleic acid and protein analysis. Then, we review innovative approaches currently under development. Our main findings are the following: (1) novel sensors based on the analysis of host responses, e.g., differential mobility spectrometer and lateral flow devices, deliver instantaneous results and can effectively detect early infections directly in the field; (2) biosensors based on phage display and biophotonics can also detect instantaneously infections although they can be integrated with other systems; and (3) remote sensing techniques coupled with spectroscopy-based methods allow high spatialization of results, these techniques may be very useful as a rapid preliminary identification of primary infections. We explain how these tools will help plant disease management and complement serological and DNA-based methods. While serological and PCR-based methods are the most available and effective to confirm disease diagnosis, volatile and biophotonic sensors provide instantaneous results and may be used to identify infections at asymptomatic stages. Remote sensing technologies will be extremely helpful to greatly spatialize diagnostic results. These innovative techniques represent unprecedented tools to render agriculture more sustainable and safe, avoiding expensive use of pesticides in crop protection.",
keywords = "Biophotonics, Commercial kits, DNA-based methods, Immunological assays, Plant disease, Remote sensing, Spectroscopy, Volatile organic compounds",
author = "Federico Martinelli and Riccardo Scalenghe and Salvatore Davino and Stefano Panno and Giuseppe Scuderi and Paolo Ruisi and Paolo Villa and Daniela Stroppiana and Mirco Boschetti and Goulart, {Luiz R.} and Davis, {Cristina E} and Dandekar, {Abhaya M.}",
year = "2015",
doi = "10.1007/s13593-014-0246-1",
language = "English (US)",
volume = "35",
pages = "1--25",
journal = "Agronomy for Sustainable Development",
issn = "1774-0746",
publisher = "Springer Science + Business Media",
number = "1",

}

TY - JOUR

T1 - Advanced methods of plant disease detection. A review

AU - Martinelli, Federico

AU - Scalenghe, Riccardo

AU - Davino, Salvatore

AU - Panno, Stefano

AU - Scuderi, Giuseppe

AU - Ruisi, Paolo

AU - Villa, Paolo

AU - Stroppiana, Daniela

AU - Boschetti, Mirco

AU - Goulart, Luiz R.

AU - Davis, Cristina E

AU - Dandekar, Abhaya M.

PY - 2015

Y1 - 2015

N2 - Plant diseases are responsible for major economic losses in the agricultural industry worldwide. Monitoring plant health and detecting pathogen early are essential to reduce disease spread and facilitate effective management practices. DNA-based and serological methods now provide essential tools for accurate plant disease diagnosis, in addition to the traditional visual scouting for symptoms. Although DNA-based and serological methods have revolutionized plant disease detection, they are not very reliable at asymptomatic stage, especially in case of pathogen with systemic diffusion. They need at least 1–2 days for sample harvest, processing, and analysis. Here, we describe modern methods based on nucleic acid and protein analysis. Then, we review innovative approaches currently under development. Our main findings are the following: (1) novel sensors based on the analysis of host responses, e.g., differential mobility spectrometer and lateral flow devices, deliver instantaneous results and can effectively detect early infections directly in the field; (2) biosensors based on phage display and biophotonics can also detect instantaneously infections although they can be integrated with other systems; and (3) remote sensing techniques coupled with spectroscopy-based methods allow high spatialization of results, these techniques may be very useful as a rapid preliminary identification of primary infections. We explain how these tools will help plant disease management and complement serological and DNA-based methods. While serological and PCR-based methods are the most available and effective to confirm disease diagnosis, volatile and biophotonic sensors provide instantaneous results and may be used to identify infections at asymptomatic stages. Remote sensing technologies will be extremely helpful to greatly spatialize diagnostic results. These innovative techniques represent unprecedented tools to render agriculture more sustainable and safe, avoiding expensive use of pesticides in crop protection.

AB - Plant diseases are responsible for major economic losses in the agricultural industry worldwide. Monitoring plant health and detecting pathogen early are essential to reduce disease spread and facilitate effective management practices. DNA-based and serological methods now provide essential tools for accurate plant disease diagnosis, in addition to the traditional visual scouting for symptoms. Although DNA-based and serological methods have revolutionized plant disease detection, they are not very reliable at asymptomatic stage, especially in case of pathogen with systemic diffusion. They need at least 1–2 days for sample harvest, processing, and analysis. Here, we describe modern methods based on nucleic acid and protein analysis. Then, we review innovative approaches currently under development. Our main findings are the following: (1) novel sensors based on the analysis of host responses, e.g., differential mobility spectrometer and lateral flow devices, deliver instantaneous results and can effectively detect early infections directly in the field; (2) biosensors based on phage display and biophotonics can also detect instantaneously infections although they can be integrated with other systems; and (3) remote sensing techniques coupled with spectroscopy-based methods allow high spatialization of results, these techniques may be very useful as a rapid preliminary identification of primary infections. We explain how these tools will help plant disease management and complement serological and DNA-based methods. While serological and PCR-based methods are the most available and effective to confirm disease diagnosis, volatile and biophotonic sensors provide instantaneous results and may be used to identify infections at asymptomatic stages. Remote sensing technologies will be extremely helpful to greatly spatialize diagnostic results. These innovative techniques represent unprecedented tools to render agriculture more sustainable and safe, avoiding expensive use of pesticides in crop protection.

KW - Biophotonics

KW - Commercial kits

KW - DNA-based methods

KW - Immunological assays

KW - Plant disease

KW - Remote sensing

KW - Spectroscopy

KW - Volatile organic compounds

UR - http://www.scopus.com/inward/record.url?scp=84936784270&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84936784270&partnerID=8YFLogxK

U2 - 10.1007/s13593-014-0246-1

DO - 10.1007/s13593-014-0246-1

M3 - Article

AN - SCOPUS:84936784270

VL - 35

SP - 1

EP - 25

JO - Agronomy for Sustainable Development

JF - Agronomy for Sustainable Development

SN - 1774-0746

IS - 1

ER -