Cargando…

Current and Prospective Methods for Plant Disease Detection

Food losses due to crop infections from pathogens such as bacteria, viruses and fungi are persistent issues in agriculture for centuries across the globe. In order to minimize the disease induced damage in crops during growth, harvest and postharvest processing, as well as to maximize productivity a...

Descripción completa

Detalles Bibliográficos
Autores principales: Fang, Yi, Ramasamy, Ramaraja P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4600171/
https://www.ncbi.nlm.nih.gov/pubmed/26287253
http://dx.doi.org/10.3390/bios5030537
_version_ 1782394381483900928
author Fang, Yi
Ramasamy, Ramaraja P.
author_facet Fang, Yi
Ramasamy, Ramaraja P.
author_sort Fang, Yi
collection PubMed
description Food losses due to crop infections from pathogens such as bacteria, viruses and fungi are persistent issues in agriculture for centuries across the globe. In order to minimize the disease induced damage in crops during growth, harvest and postharvest processing, as well as to maximize productivity and ensure agricultural sustainability, advanced disease detection and prevention in crops are imperative. This paper reviews the direct and indirect disease identification methods currently used in agriculture. Laboratory-based techniques such as polymerase chain reaction (PCR), immunofluorescence (IF), fluorescence in-situ hybridization (FISH), enzyme-linked immunosorbent assay (ELISA), flow cytometry (FCM) and gas chromatography-mass spectrometry (GC-MS) are some of the direct detection methods. Indirect methods include thermography, fluorescence imaging and hyperspectral techniques. Finally, the review also provides a comprehensive overview of biosensors based on highly selective bio-recognition elements such as enzyme, antibody, DNA/RNA and bacteriophage as a new tool for the early identification of crop diseases.
format Online
Article
Text
id pubmed-4600171
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-46001712015-10-15 Current and Prospective Methods for Plant Disease Detection Fang, Yi Ramasamy, Ramaraja P. Biosensors (Basel) Review Food losses due to crop infections from pathogens such as bacteria, viruses and fungi are persistent issues in agriculture for centuries across the globe. In order to minimize the disease induced damage in crops during growth, harvest and postharvest processing, as well as to maximize productivity and ensure agricultural sustainability, advanced disease detection and prevention in crops are imperative. This paper reviews the direct and indirect disease identification methods currently used in agriculture. Laboratory-based techniques such as polymerase chain reaction (PCR), immunofluorescence (IF), fluorescence in-situ hybridization (FISH), enzyme-linked immunosorbent assay (ELISA), flow cytometry (FCM) and gas chromatography-mass spectrometry (GC-MS) are some of the direct detection methods. Indirect methods include thermography, fluorescence imaging and hyperspectral techniques. Finally, the review also provides a comprehensive overview of biosensors based on highly selective bio-recognition elements such as enzyme, antibody, DNA/RNA and bacteriophage as a new tool for the early identification of crop diseases. MDPI 2015-08-06 /pmc/articles/PMC4600171/ /pubmed/26287253 http://dx.doi.org/10.3390/bios5030537 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Fang, Yi
Ramasamy, Ramaraja P.
Current and Prospective Methods for Plant Disease Detection
title Current and Prospective Methods for Plant Disease Detection
title_full Current and Prospective Methods for Plant Disease Detection
title_fullStr Current and Prospective Methods for Plant Disease Detection
title_full_unstemmed Current and Prospective Methods for Plant Disease Detection
title_short Current and Prospective Methods for Plant Disease Detection
title_sort current and prospective methods for plant disease detection
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4600171/
https://www.ncbi.nlm.nih.gov/pubmed/26287253
http://dx.doi.org/10.3390/bios5030537
work_keys_str_mv AT fangyi currentandprospectivemethodsforplantdiseasedetection
AT ramasamyramarajap currentandprospectivemethodsforplantdiseasedetection