Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26287253
.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 Biosensors+(Basel)
2015 ; 5
(3
): 537-61
Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
Current and Prospective Methods for Plant Disease Detection
#MMPMID26287253
Fang Y
; Ramasamy RP
Biosensors (Basel)
2015[Aug]; 5
(3
): 537-61
PMID26287253
show ga
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.