Alternative management technologies for postharvest disease control: The journey from simplicity to complexity

采后 生物技术 植物病害 风险分析(工程) 疾病管理 新兴技术 计算机科学 业务 简单 疾病 营销 生物 医学 病理 人工智能 帕金森病 哲学 认识论 园艺
作者
Michael Wisniewski,Samir Droby,John L. Norelli,Jia Liu,Leonardo Schena
出处
期刊:Postharvest Biology and Technology [Elsevier BV]
卷期号:122: 3-10 被引量:293
标识
DOI:10.1016/j.postharvbio.2016.05.012
摘要

Finding safe and effective alternatives to synthetic fungicides for reducing postharvest losses of harvested commodities has been a focus of much research over the past three decades. Identifying alternatives that are widely accepted and commercially viable has, however, been a challenge. The search to identify alternative approaches to postharvest disease management must be viewed in relation to a complex regulatory environment, the need to address disease problems in a wide array of commodities and conditions, industry and consumer acceptance, and last but not least, commercial viability. In order for companies to invest in new technologies, they must be able to clearly see both the value of a product and the financial return on their investment. The present review attempts to highlight how the search for alternative postharvest disease management technologies has been a journey from simplicity to complexity. Plant pathologists developing alternative technologies are slowly moving away from the “silver bullet” concept where a single intervention can be used to control a disease to viewing plant disease as a process where multiple interventions may be required at different points in the disease process. Over the past thirty years, alternatives have moved from the simple idea of applying high concentrations of biocontrol agents to a harvested commodity, to using a wide array of other alternatives, and integrating them together into a systems approach based on the multiple decrement or multiple hurdle concept. The ease of sequencing genomes and obtaining related genotypic, transcriptomic, proteomic, and metabolomic information is leading to the development of new commercial technologies where problems are solved “biologically.”
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