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Use of stress pre-conditioning, novel sensors and AMF to improve crop management, marketable yields, stress resilience and environmental sustainability of raspberry production

Use of stress pre-conditioning, novel sensors and AMF to improve crop management, marketable yields, stress resilience and environmental sustainability of raspberry production
使用胁迫预处理、新型传感器和 AMF 来改善覆盆子生产的作物管理、适销产量、胁迫恢复能力和环境可持续性
批准号:
102640
负责人:
金额:
$26.78万
依托单位:
依托单位国家:
英国
项目类别:
BEIS-Funded Programmes
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --

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英文摘要
UK raspberry production was worth £109M in 2014, but a further 11KT of berries, worth £59M, areimported each year. A 20% increase in the 14KT of fruit produced p.a. in the UK could be expected toreduce imports by 2.8KT, and raise the value of the UK industry by £15.7M p.a.. However, improved on-farm management of water and fertiliser inputs is needed to optimise productivity; currently, excessivefertigation to substrate-grown raspberry result in vigorous cane growth which makes crop managementdifficult and harvesting costly. Nutrient leaching also poses a risk to groundwater quality. We will usenovel affinity sensors combined with fuzzy logic to automatically adjust nutrient inputs to match plantdemand in real time, reduce fertiliser losses to the environment and improve berry quality. Stresspreconditioning and arbuscular mycorrhizal fungi (AMF) will be used to raise marketable yields, improveresource use and acquisition, and increase crop resilience to stresses.
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