杀菌剂
疾病管理
植物病害
疾病
生物技术
生物
植物抗病性
生物多样性
杀虫剂
风险分析(工程)
农学
业务
医学
生态学
基因
遗传学
病理
帕金森病
作者
N Senthilraja,R. K. Gangwar,C.K. Borad
出处
期刊:Madras agricultural journal
[Madras Agricultural Students Union]
日期:2024-01-01
卷期号:111 (March): 10-16
被引量:2
标识
DOI:10.29321/maj.10.000j01
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI