16AGRITECHCAT5: Using stress pre-conditioning, novel sensors and AMF to improve yields, resilience and sustainability of raspberry production
16AGRITECHCAT5:使用应力预处理、新型传感器和 AMF 来提高覆盆子生产的产量、弹性和可持续性
基本信息
- 批准号:BB/P00511X/1
- 负责人:
- 金额:$ 63.45万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2017
- 资助国家:英国
- 起止时间:2017 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The UK soft fruit industry is a vital part of the UK's rural economy with sales of raspberry estimated at £109M in 2014 (Defra). However, imports have doubled since 2005 and 11kT of berries, worth £59M /year, are imported to satisfy UK consumer demand. UK growers average yields of 13T/ha, although 20T/ha is achievable. A modest 20% increase in marketable yields could raise the value of the UK industry by £15.7M/year, whilst helping to reduce imports. The challenge is to raise yields and reduce waste whilst using resources more sustainably in order to ensure security of future production and to lower the environmental impact of intensive horticulture. The project will develop new opportunities to improve the economic and environmental sustainability of the sector. BerryGardens Growers Ltd (BGG), lead partner in this Agri-Tech Catalyst bid, is the UK's leading berry and stone fruit PO with a market share in excess of 30%. The consortium has expertise in soft fruit agronomy and husbandry, crop physiology and nutrition, fungal physiology, food quality science, environmental monitoring, sensor engineering and fuzzy logic inference systems (FLIS), and a strong track record of delivering and exploiting results of publicly-funded R&D. The proposed scientific and technological innovations have not yet been developed by us or others and represent leading edge applied science and engineering. We will: 1) deploy affinity sensors being developed in IUK 101824 to monitor continuously input and output nutrient concentrations, and use a FLIS to predict substrate (coir) ion concentrations; 2) investigate the potential of using AMF to improve resource acquisition and stress resilience; 3) develop Transient Deficit Irrigation (TDI) as a tool to control cane vigour withour reducing yields, thereby reducing labour and production costs; 4) use stress pre-conditioning to improve crop resilience to abiotic and biotic stresses, 5) deliver automated, real-time precision fertigation control into commercial production using an affinity sensor platform integrated with the Decision Support System (DSS) being developed in IUK 102124. Proof-of-concept of these novel approaches and technologies will be tested in experiments using proprietary raspberry varieties at East Malling Research (EMR). The systems will then be deployed and developed further on BGG grower sites to quantify the potential to deliver greater on-farm fertiliser use efficiency and environmental sustainability, and raise grower margins from higher yields, consistent high quality and increased production efficiency. We anticipate revenue gains to consortium members of c. £8M p.a. arising from adoption of the outputs. The route to market will be via roll-out to BGG's UK soft fruit growers and overseas partners in the first instance, and to other UK and overseas producers of high value horticultural crops where improved farming precision is needed to advance sustainable intensification and deliver economic impact.
英国软果产业是英国农村经济的重要组成部分,2014年树莓的销售额估计为1.09亿英镑(Defra)。然而,自2005年以来,进口量翻了一番,每年进口价值5900万英镑的11千吨浆果,以满足英国消费者的需求。英国种植者的平均产量为13吨/公顷,尽管20吨/公顷是可以实现的。可销售收益率适度增长20%可能会使英国行业的价值每年增加1570万英镑,同时有助于减少进口。挑战是提高产量和减少浪费,同时更可持续地使用资源,以确保未来生产的安全性,并降低集约化园艺对环境的影响。该项目将开发新的机会,以提高该部门的经济和环境可持续性。BerryGardens Growers Ltd(BGG)是此次农业技术催化剂竞标的主要合作伙伴,是英国领先的浆果和核果PO,市场份额超过30%。该联盟在软果农艺学和畜牧业、作物生理学和营养学、真菌生理学、食品质量科学、环境监测、传感器工程和模糊逻辑推理系统(FLIS)方面拥有专业知识,并在交付和利用公共资助的研发成果方面有着良好的记录。所提出的科学和技术创新尚未由我们或其他人开发,代表了前沿的应用科学和工程。我们将:1)部署在IUK 101824中开发的亲和传感器以连续监测输入和输出营养物浓度,并使用FLIS来预测基质(椰壳纤维)离子浓度; 2)调查使用AMF来改善资源获取和压力恢复的潜力;(3)发展瞬时亏缺灌溉(TDI),在不减产的情况下控制甘蔗长势,从而降低劳动力和生产成本; 4)使用压力预处理来提高作物对非生物和生物压力的适应能力,5)使用与IUK 102124中开发的决策支持系统(DSS)集成的亲和传感器平台,将自动化,实时精确的施肥控制应用于商业生产。这些新方法和技术的概念验证将在东马岭研究所(EMR)使用专利树莓品种进行实验。然后,该系统将在BGG种植者现场进一步部署和开发,以量化提高农场肥料使用效率和环境可持续性的潜力,并通过提高产量,始终如一的高质量和提高生产效率来提高种植者的利润。我们预计C的财团成员将获得收益。每年800万英镑通过产出产生的。进入市场的途径首先是向BGG的英国软果种植者和海外合作伙伴推广,以及向其他英国和海外高价值园艺作物生产商推广,这些生产商需要提高耕作精度,以促进可持续集约化并产生经济影响。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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{{ truncateString('Mark Else', 18)}}的其他基金
16AGRITECHCAT5: Tools and Technology for Predicting Tomato Glasshouse Production
16AGRITECHCAT5:预测番茄温室产量的工具和技术
- 批准号:
BB/P004881/1 - 财政年份:2016
- 资助金额:
$ 63.45万 - 项目类别:
Research Grant
Developing a decision support system to improve crop management, yield forecasting and resource use efficiency in UK soft fruit production
开发决策支持系统,以改善英国软果生产的作物管理、产量预测和资源利用效率
- 批准号:
BB/M027317/2 - 财政年份:2016
- 资助金额:
$ 63.45万 - 项目类别:
Research Grant
13TSB_AgriFood: Developing innovative tools to manage risks associated with improving resource efficiency and fruit quality in substrate soft fruit
13TSB_AgriFood:开发创新工具来管理与提高基质软果的资源效率和水果质量相关的风险
- 批准号:
BB/L017474/2 - 财政年份:2016
- 资助金额:
$ 63.45万 - 项目类别:
Research Grant
13TSB_AgriFood Developing a vision system to enhance phenotyping in apples (Pomevision)
13TSB_AgriFood 开发视觉系统以增强苹果表型分析 (Pomevision)
- 批准号:
BB/L017466/2 - 财政年份:2016
- 资助金额:
$ 63.45万 - 项目类别:
Research Grant
Developing a decision support system to improve crop management, yield forecasting and resource use efficiency in UK soft fruit production
开发决策支持系统,以改善英国软果生产的作物管理、产量预测和资源利用效率
- 批准号:
BB/M027317/1 - 财政年份:2015
- 资助金额:
$ 63.45万 - 项目类别:
Research Grant
13TSB_AgriFood: Developing innovative tools to manage risks associated with improving resource efficiency and fruit quality in substrate soft fruit
13TSB_AgriFood:开发创新工具来管理与提高基质软果的资源效率和水果质量相关的风险
- 批准号:
BB/L017474/1 - 财政年份:2014
- 资助金额:
$ 63.45万 - 项目类别:
Research Grant
13TSB_AgriFood Developing a vision system to enhance phenotyping in apples (Pomevision)
13TSB_AgriFood 开发视觉系统以增强苹果表型分析 (Pomevision)
- 批准号:
BB/L017466/1 - 财政年份:2013
- 资助金额:
$ 63.45万 - 项目类别:
Research Grant
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