Advancements in the diagnosis of bacterial plant pathogens: An overview

Abstract

The timely detection and appropriate identification of causal agents associated with disease of crop plants or seeds are considered to be the most important issue in formulating the management strategies for plant diseases. This is particularly important for plant diseases of a bacterial nature, where disease-free planting materials is the only effective way to restrict the disease. The detection of bacterial pathogens still largely depends on cultural, morphological and biochemical properties. The protocol requires skilled taxonomical expertise and is also time and labor intensive. Moreover, it cannot discriminate between closely related strains of same bacterial pathogens. With the advent of polymerase chain reaction (PCR), nucleic acid based techniques have made the diagnostic procedures for plant pathogens, including bacteria, easier than the conventional approaches. The wide acceptability of nucleic acid based techniques is due to them being more sensitive, more accurate, more specific, and much faster than conventional techniques. The serology-based diagnoses are very often preferred over nucleo-based techniques as they are more user-friendly and less cumbersome, besides being sensitive, accurate, specific, and much faster than conventional techniques. This review critically analyzes the recent developments and scope of various nucleic acid-and serology-based techniques for the diagnosis of bacterial plant pathogens.

Updated insight into COVID-19 disease and health management to combat the pandemic

“…127 The success of such serology-based tests and their commercialization will provide rapid answers to suspected COVID-19 patients, and subsequently contribute to increased efficiency in contact tracing and precautionary isolation approaches that will truly contribute to efficient containment of the disease. 128 , 129 , 130 …”

Feature extraction model in systems of diagnostics of plant diseases by the leaf images

“…Over the last years the number of published works have been increased in the field of information systems creation, especially IMS almost in every direction of the agricultural science and production [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. This fact is connected with information and analysis support of experts' intellectual activity that provides productivity in the subject area of industrial technology.…”

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