BLIGHTSENSE - Development of a rapid biosensor system for in-field detection of potato late blight pathogens
BLIGHTSENSE - Development of a rapid biosensor system for in-field detection of potato late blight pathogens
批准号:
102084
负责人:
金额:
$58.15万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2015
资助国家:
英国
项目状态:
已结题
起止时间:
2015 至 --
中文摘要
马铃薯晚疫病是世界上最具破坏性的作物病害之一,在过去10年里,马铃薯产量停滞不前,全球每年损失35亿英镑。本项目将开发一种快速的声波生物传感器装置,用于现场鉴定晚疫病病原菌(Phytophthora Infestans)的空气传播孢子囊,以满足改进疾病管理和控制的迫切需求。Soil Essentials (SE)是一家精密农业中小企业,它将与剑桥大学(UC)、詹姆斯·赫顿研究所(JHI)、Mylnefield研究服务公司(MRS)和先正达公司(SG)合作,通过将低成本、抗体涂层的声学传感耗材与经过验证的孢子捕捉器相结合,开发一种用于早期病原体检测的综合诊断工具。拟议的创新,只有通过最先进的声电子、智能材料、生物化学、晚疫病流行病学、先进的ICT和精准农业的跨学科融合,才能实现优化的疾病控制,减少马铃薯作物浪费和杀菌剂成本,提高市场产量和质量。作为一种平台技术,它可以很容易地用于检测其他作物和牲畜病原体,从而对农业产生更广泛的影响。
英文摘要
Potato late blight is one of the world's most destructive crop diseases, with £3.5Bn annual losses globally in an industry suffering stagnant yields for the last decade. This project will develop a rapid acoustic biosensor device for in-field identification of air-borne sporangia of Phytophthora Infestans (causal agent of late blight), to meet the compelling need for improved disease management & control. Soil Essentials (SE), a precision-farming SME, together with University of Cambridge (UC), the James Hutton Institute (JHI), Mylnefield Research Services (MRS) & Syngenta (SG), will develop an integrated diagnostic tool for early pathogen detection, by coupling low-cost, antibody-coated acoustic sensing consumables with a proven spore-trap. The proposed innovation, enabled only by the interdisciplinary convergence of state-of-the art acousto-electronics, smart materials, biochemistry, late blight epidemiology, advanced ICT & precision agriculture, will enable optimised disease control, reducing potato crop waste & fungicide costs, improving marketable yield & quality. As a platform technology, it can be easily adapted to detect other crop & livestock pathogens for wider agricultural impact.
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国内基金
海外基金
水稻边界发育缺陷突变体abnormal boundary development(abd)的基因克隆与功能分析
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批准号:32070202
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项目类别:面上项目
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资助金额:58.0万元
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批准年份:2020
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负责人:汪泉
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依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
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批准号:--
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项目类别:--
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资助金额:40万元
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批准年份:2020
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负责人:Vikrant Gupta
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依托单位: