Collaborative Research: BTT EAGER: A wearable plant sensor for real-time monitoring of sap flow and stem diameter to accelerate breeding for water use efficiency

合作研究:BTT EAGER:一种可穿戴植物传感器,用于实时监测树液流量和茎直径,以加速育种,提高水分利用效率

基本信息

  • 批准号:
    1844563
  • 负责人:
  • 金额:
    $ 20万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-05-15 至 2024-04-30
  • 项目状态:
    已结题

项目摘要

Breeding plants for increased drought resistance without sacrificing yield is a major goal of breeding efforts around the world. However, drought resistance and yield tend to be inversely correlated. The rate that water flows through the stalk of plants on its way to the leaves is a critical variable in explaining differences in drought tolerance between different varieties of plants. However, current technologies for measuring the rate of this flow are bulky and can damage the plant when they remain applied for long time periods; thus they are not able to monitor plants throughout a growing season. In addition, the data collected from current sensors requires measurements of stem size in order to accurately measure flow rates. If stems grow over the course of the experiment, these measurements can introduce error is. This project develops a wearable plant sensor that enables accurate long-term quantification of flow rates across many environments and genotypes. Large numbers of low-cost sensors can be deployed in breeding programs enabling direct evaluation of lines. From these lines specific genetic loci controlling variation in sap flow rates under different environmental conditions can be identified. Likewise data from these sensors can be used in genomic prediction models that prioritize new breeding lines prior to the investment of resources field trials. This research will enhance workforce development by providing research opportunities to next-generation researchers at the intersection of engineering and plant science. This collaborative project will integrate advances in sensors, microsystems, nanomaterials, and plant sciences to realize a novel sap flow measurement method that ultimately advances functional genomics research and the breeding of drought tolerant crops. The objective is to develop a wearable plant sensor for long-term, accurate, and affordable monitoring of sap flow over an entire growing season. The sensor design allows efficient thermal insulation of the microscale sap flow sensing unit from external environments, thus eliminating the traditional need of additional bulky thermal insulation setup and increasing the response to sap flow. Spatial averaging of multiple sap flow measurements around the stem enhances measurement accuracy. By using stretchability of the sensor materials and structures, physical constraints of the sensor on plant growth is minimized for long-term monitoring. The proposed wearable sensors can be manufactured at large scale and low cost, allowing it to be incorporated into breeding programs tolerating drought tolerance. Lastly, the sensors are characterized, calibrated and validated over time using gravimetric measures of plant water use in the greenhouse. Initial pilot field measurements are performed, where the sensors are applied to several maize hybrids grown under irrigated and non-irrigated conditions as part of the Nebraska contribution to Genomes to Fields (an existing public-private partnership).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
在不牺牲产量的情况下培育提高抗旱性的植物是世界各地育种工作的主要目标。然而,抗旱性和产量往往呈负相关。水分通过植物茎流向叶片的速率是解释不同植物品种之间耐旱性差异的关键变量。然而,目前用于测量这种流量的技术体积庞大,并且当它们长时间应用时可能会损坏植物;因此,它们不能在整个生长季节监测植物。此外,从电流传感器收集的数据需要测量阀杆尺寸,以便准确测量流速。 如果茎在实验过程中生长,这些测量可能会引入误差。该项目开发了一种可穿戴式植物传感器,可以在许多环境和基因型中准确长期量化流量。大量的低成本传感器可以部署在育种计划中,从而能够直接评估品系。 从这些品系中,可以鉴定出控制不同环境条件下液流速率变化的特定遗传基因座。同样,来自这些传感器的数据可以用于基因组预测模型,该模型在资源田间试验投资之前优先考虑新的育种品系。这项研究将通过为工程和植物科学交叉领域的下一代研究人员提供研究机会来促进劳动力发展。该合作项目将整合传感器,微系统,纳米材料和植物科学的进步,以实现一种新的液流测量方法,最终推进功能基因组学研究和耐旱作物的育种。我们的目标是开发一种可穿戴的植物传感器,用于在整个生长季节长期,准确和负担得起的树液流监测。传感器设计允许微尺度液流感测单元与外部环境的有效热绝缘,从而消除了额外的庞大的热绝缘设置的传统需要,并增加了对液流的响应。茎周围的多个液流测量的空间平均提高测量精度。通过使用传感器材料和结构的可拉伸性,传感器对植物生长的物理约束被最小化以用于长期监测。所提出的可穿戴传感器可以大规模和低成本制造,使其能够被纳入耐旱育种计划。最后,传感器的特点,校准和验证随着时间的推移,在温室中使用植物用水的重量测量。最初的试点实地测量进行,传感器被应用到几个玉米杂交种下灌溉和非灌溉条件下生长的基因组领域(现有的公私合作伙伴关系)的内布拉斯加州的贡献的一部分。该奖项反映了NSF的法定使命,并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Miniaturized, Field-deployable, Continuous Soil Water Potential Sensor
小型化、可现场部署、连续土壤水势传感器
  • DOI:
    10.1109/jsen.2020.3007367
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    4.3
  • 作者:
    Chen, Yuncong;Tian, Yang;Wang, Xinran;Wei, Le;Dong, Liang
  • 通讯作者:
    Dong, Liang
Wearable Plant Sensor for In Situ Monitoring of Volatile Organic Compound Emissions from Crops
  • DOI:
    10.1021/acssensors.2c00834
  • 发表时间:
    2022-08-08
  • 期刊:
  • 影响因子:
    8.9
  • 作者:
    Ibrahim, Hussam;Moru, Satyanarayana;Dong, Liang
  • 通讯作者:
    Dong, Liang
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Liang Dong其他文献

Cooperative Localization and Tracking of Mobile Ad Hoc Networks
A Summary of the Large-Scale Access Convergence Network Structure
大规模接入融合网络结构综述
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    4.1
  • 作者:
    Lan Julong;Zhang Xiaohui;Shen Juan;Hu Yuxiang;Wang Xiang;Mao Zhenshan;Wang Lingqiang;Liang Dong
  • 通讯作者:
    Liang Dong
Improvement of Linearity and Mitigation of Dispersion-Induced Power Fading in Multi-Channel Phase-Modulated Analog Photonic Link Based on a Polarization Modulator
基于偏振调制器的多通道相位调制模拟光子链路的线性度改进和色散引起的功率衰落的缓解
  • DOI:
    10.1109/jlt.2018.2851601
  • 发表时间:
    2018-09
  • 期刊:
  • 影响因子:
    4.7
  • 作者:
    Zhai Weile;Wen Aijun;Zhang Huixing;Zhang Wu;Liang Dong
  • 通讯作者:
    Liang Dong
Deep Manifold Learning for Dynamic MR Imaging
动态 MR 成像的深度流形学习
  • DOI:
    10.1109/tci.2021.3131564
  • 发表时间:
    2021-03
  • 期刊:
  • 影响因子:
    5.4
  • 作者:
    Ke Ziwen;Cui Zhuo-Xu;Huang Wenqi;Cheng Jing;Jia Sen;Ying Leslie;Zhu Yanjie;Liang Dong
  • 通讯作者:
    Liang Dong
Cooperative Network Localization Via Node Velocity Estimation

Liang Dong的其他文献

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{{ truncateString('Liang Dong', 18)}}的其他基金

SCC-IRG Track 1: Connecting Farming Communities for Sustainable Crop Production and Environment Using Smart Agricultural Drainage Systems
SCC-IRG 第 1 轨道:利用智能农业排水系统连接农业社区,实现可持续作物生产和环境
  • 批准号:
    2125484
  • 财政年份:
    2021
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
MRI: Acquisition of Photonic Professional Nanoscribe Instrument
MRI:购买光子专业 Nanoscribe 仪器
  • 批准号:
    2019096
  • 财政年份:
    2020
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
Collaborative Research: Silicon Nano-Opto-Fluidics Enabled Multi-Dimensional, High-Throughput Molecular and Size Profiling of Exosomes
合作研究:硅纳米光流控技术实现了外泌体的多维、高通量分子和尺寸分析
  • 批准号:
    1711839
  • 财政年份:
    2017
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
PAPM EAGER: Microfluidic Root Exudate Sampler with High Spatio-Temporal Sampling Resolution
PAPM EAGER:具有高时空采样分辨率的微流控根分泌物采样器
  • 批准号:
    1650182
  • 财政年份:
    2016
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
IDBR: TYPE A: High-Throughput, Large-Scale Plant Phenotyping Platform
IDBR:A 型:高通量、大规模植物表型分析平台
  • 批准号:
    1353819
  • 财政年份:
    2014
  • 资助金额:
    $ 20万
  • 项目类别:
    Continuing Grant
Drug Trips for Worms: Smart Droplet Microfluidics for Real-time, High-throughput Drug Screening of Single Organisms
蠕虫药物之旅:用于单一生物体实时、高通量药物筛选的智能液滴微流控
  • 批准号:
    1102354
  • 财政年份:
    2011
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
CAREER: Programmable, Reconfigurable, and Tunable Photonic Integrated Circuit Platform through the Fusion of Photonic Crystals and Nano-Electro-Mechanical Systems
职业:通过光子晶体和纳米机电系统的融合实现可编程、可重新配置和可调谐的光子集成电路平台
  • 批准号:
    0954765
  • 财政年份:
    2010
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant

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