Real-time in situ sensing of soil nitrogen status to promote enhanced nitrogen use efficiency in agricultural systems
Real-time in situ sensing of soil nitrogen status to promote enhanced nitrogen use efficiency in agricultural systems
批准号:
BB/P004539/1
负责人:
Davey Jones
金额:
$40.34万
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
项目状态:
已结题
起止时间:
2017 至 --
中文摘要
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英文摘要
Nitrogen (N) is vital for crop productivity, however, typically half of the N we add to agricultural land is usually lost to the environment. This wastes the resource and produces threats to air, water, soil, human health and biodiversity, and generates harmful greenhouse gas (GHG) emissions. These environmental problems largely result from our inability to accurately match fertiliser inputs to crop demand in both space and time in the field. If these problems are to be overcome, we need a radical step change in current N management techniques in both arable and grassland production systems. One potential solution to this is the use of technologies that can 'sense' the amount of plant-available N present in the soil combined with sensors that can report on the N status of the crop canopy. On their own, these sensors can provide useful information on soil/crop N status to the farmer. However, they need refining if they are then to be used to inform fertiliser management decisions. This is because climate variables (e.g., temperature, rainfall, sunlight hours) and soil factors (e.g., texture, organic matter content) can have a major influence on soil processes and plant growth, independent of soil N status. These sensors therefore need to be combined with other data and improved soil-crop growth models to provide a more accurate report of how soil N relates to crop N demand at any given point in time. In this project, we are demonstrating how adoption of precision agriculture techniques (in the form of soil nitrate sensors) can be used to improve N use efficiency in both arable (wheat, oilseed rape) and grassland systems. While we are focusing on soil nitrate, as it arguably represents the key form of soil N associated with productivity and the environment, the approaches we are taking are also readily applicable to other nutrients for which sensors are currently being developed (e.g., ammonium, phosphate, potassium).We have designed our research programme in accordance with the strategic objectives of the BBSRC-SARIC programme and those recently produced by HM Government to facilitate delivery of sustainable intensification strategies. To maximise the potential for technology development, commercialisation and adoption we are working closely with a range of industry partners throughout the programme. Overall, we aim to (i) demonstrate the use of novel N sensors for the real-time measurement of soil N status; (ii) use geo-statistical methods to optimise the deployment of these in situ sensors; (iii) produce new mechanistic mathematical models which allow accurate prediction of crop N demand; (iv) validate the benefits of these sensors and models in representative grassland and arable systems from a N use and economic standpoint; and (v) explore how these new technologies can improve current fertiliser management and guidelines through enhanced industry-focused decision support tools.Ultimately, this technology shift could result in substantial savings to the farmer by both reducing costs, maximising yields and minimising damage to the environment. For example, if our technology improves N use efficiency by 10% in agricultural land where fertiliser is applied in the UK (8.2 million hectares of grassland and tilled crops), we estimate it would save 100 thousand tons of N fertiliser (equivalent to a saving of £69 million per annum to farmers). When the direct and indirect costs of nitrate pollution are considered (e.g., removing nitrate from drinking water is estimated to cost UK water companies >£20 million annually), and the reduction in direct and indirect greenhouse gas emissions from manufacture and use of 100 thousand tons of N fertiliser are accounted for, the benefits of adopting a validated precision agriculture approach are clear.
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DOI:
10.1016/j.soilbio.2019.107599
发表时间:
2019-11
期刊:
Soil Biology and Biochemistry
影响因子:
9.7
作者:
[M. Reay;A. Charteris;Davey L. Jones;R. Evershed]
通讯作者:
M. Reay;A. Charteris;Davey L. Jones;R. Evershed
Precipitation-optimised targeting of nitrogen fertilisers in a model maize cropping system
模型玉米种植系统中氮肥的降水优化目标
DOI:
10.1016/j.scitotenv.2020.144051
发表时间:
2021
期刊:
Science of The Total Environment
影响因子:
9.8
作者:
[McKay Fletcher D]
通讯作者:
McKay Fletcher D
DOI:
10.1080/03650340.2018.1519251
发表时间:
2019-04-16
期刊:
ARCHIVES OF AGRONOMY AND SOIL SCIENCE
影响因子:
2.4
作者:
[Carswell, Alison, Shaw, Rory, Misselbrook, Tom H.]
通讯作者:
Misselbrook, Tom H.
DOI:
10.1016/j.soilbio.2018.09.005
发表时间:
2018-11
期刊:
Soil Biology and Biochemistry
影响因子:
9.7
作者:
[M. Senbayram;R. Well;R. Bol;D. Chadwick;David L. Jones;Di Wu]
通讯作者:
M. Senbayram;R. Well;R. Bol;D. Chadwick;David L. Jones;Di Wu
DOI:
10.1021/acsestengg.1c00492
发表时间:
2022-08-12
期刊:
ACS ES&T ENGINEERING
影响因子:
7.1
作者:
[McKay Fletcher, Dan, Ruiz, Siul, Williams, Katherine, Petroselli, Chiara, Walker, Nancy, Chadwick, David, Jones, Davey L, Roose, Tiina]
通讯作者:
Roose, Tiina
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