Plant diseases can reduce human food availability. Modern plant disease management faces problems due to climate change, fungicide resistance, pesticide residues and biodiversity loss. This review discusses problems and challenges in plant disease management and future research needs for effective management. Plant disease forecasting models can be used to predict plant diseases ahead of time. Protected cultivation combats climate change. It is necessary to find more evidence that plant pathogen diversity has a dilution effect on disease incidence. Deep learning-based disease diagnosis will help detect diseases faster. More hybrid fungicides should be developed to minimize fungicidal resistance problems. Among the molecular methods of plant disease management, RNA interference-mediated gene silencing and genome editing with CRISPR is more promising in plant disease management.
For MASU related issues :
PUBLISHER
SECRETARY
Madras
Agricultural Students Union
Tamil Nadu Agricultural University
Coimbatore - 641 003
Tamil Nadu, India.
For MAJ related issues :
EDITOR-IN-CHIEF
Madras
Agricultural Students Union
Tamil Nadu Agricultural University
Coimbatore - 641 003
Tamil Nadu, India.
Copyright © Madras Agricultural Journal | Masu Journal All rights reserved.
Please provide the registered email ID
Please enter the new password
