Developing an Active Canopy Sensor-Based Integrated Precision Rice Management System for Improving Grain Yield and Quality, Nitrogen Use Efficiency, and Lodging Resistance

被引:9
作者
Lu, Junjun [1 ]
Wang, Hongye [2 ]
Miao, Yuxin [3 ]
Zhao, Liqin [4 ]
Zhao, Guangming [5 ]
Cao, Qiang [6 ]
Kusnierek, Krzysztof [7 ]
机构
[1] Henan Polytech Univ, Agrogeoinformat Res Ctr Arc, Sch Surveying & Land Informat Engn, Jiaozuo 454000, Henan, Peoples R China
[2] Minist Agr & Rural Affairs, Cultivated Land Qual Monitoring & Protect Ctr, Beijing 100125, Peoples R China
[3] Univ Minnesota, Precis Agr Ctr, Dept Soil Water & Climate, St Paul, MN 55108 USA
[4] Heilongjiang Bayi Agr Univ, Coll Agron, Daqing 163319, Peoples R China
[5] Qixing Farm, Jiansanjiang 156300, Jiamusi, Peoples R China
[6] Nanjing Agr Univ, Natl Engn & Technol Ctr Informat Agr, Nanjing 210095, Peoples R China
[7] Norwegian Inst Bioecon Res NIBIO, Ctr Precis Agr, Nylinna 226, N-2849 Ostre Toten, Norway
关键词
precision rice management; chlorophyll meter; proximal crop sensing; precision nitrogen management; sustainable development; sustainable intensification; NUTRIENT MANAGEMENT; CROPPING SYSTEMS; WATER; IRRIGATION; FERTILIZATION; PRODUCTIVITY; VARIABILITY; STRATEGIES; IMPACT; LEVEL;
D O I
10.3390/rs14102440
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Active crop sensor-based precision nitrogen (N) management can significantly improve N use efficiency but generally does not increase crop yield. The objective of this research was to develop and evaluate an active canopy sensor-based precision rice management system in terms of grain yield and quality, N use efficiency, and lodging resistance as compared with farmer practice, regional optimum rice management system recommended by the extension service, and a chlorophyll meter-based precision rice management system. Two field experiments were conducted from 2011 to 2013 at Jiansanjiang Experiment Station of China Agricultural University in Heilongjiang, China, involving four rice management systems and two varieties (Kongyu 131 and Longjing 21). The results indicated that the canopy sensor-based precision rice management system significantly increased rice grain yield (by 9.4-13.5%) over the farmer practice while improving N use efficiency, grain quality, and lodging resistance. Compared with the already optimized regional optimum rice management system, in the cool weather year of 2011, the developed system decreased the N rate applied in Kongyu 131 by 12% and improved N use efficiency without inducing yield loss. In the warm weather year of 2013, the canopy sensor-based management system recommended an 8% higher N rate to be applied in Longjing 21 than the regional optimum rice management, which improved rice panicle number per unit area and eventually led to increased grain yield by over 10% and improved N use efficiency. More studies are needed to further test the developed active canopy sensor-based precision rice management system under more diverse on-farm conditions and further improve it using unmanned aerial vehicle or satellite remote sensing technologies for large-scale applications.
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页数:24
相关论文
共 70 条
[1]  
[Anonymous], 2013, Assessment of Fertilizer Use by Crop at the Global Level 2010 - 2010/11
[2]   Increased rate of potassium fertilizer at the time of heading enhances the quality of direct seeded rice [J].
Atapattu, Anjana J. ;
Prasantha, B. D. Rohitha ;
Amaratunga, K. S. P. ;
Marambe, Buddhi .
CHEMICAL AND BIOLOGICAL TECHNOLOGIES IN AGRICULTURE, 2018, 5
[3]   A review of advanced machine learning methods for the detection of biotic stress in precision crop protection [J].
Behmann, Jan ;
Mahlein, Anne-Katrin ;
Rumpf, Till ;
Roemer, Christoph ;
Pluemer, Lutz .
PRECISION AGRICULTURE, 2015, 16 (03) :239-260
[4]   Site-specific fertilizer nitrogen management in irrigated transplanted rice (Oryza sativa) using an optical sensor [J].
Bijay-Singh ;
Varinderpal-Singh ;
Purba, Jaspreet ;
Sharma, R. K. ;
Jat, M. L. ;
Yadvinder-Singh ;
Thind, H. S. ;
Gupta, R. K. ;
Chaudhary, O. P. ;
Chandna, P. ;
Khurana, H. S. ;
Kumar, Ajay ;
Jagmohan-Singh ;
Uppal, H. S. ;
Uppal, R. K. ;
Vashistha, Monika ;
Gupta, Raj .
PRECISION AGRICULTURE, 2015, 16 (04) :455-475
[5]   Assessment of the nitrogen management strategy using an optical sensor for irrigated wheat [J].
Bijay-Singh ;
Sharma, R. K. ;
Jaspreet-Kaur ;
Jat, Mangi L. ;
Martin, Kent L. ;
Yadvinder-Singh ;
Varinderpal-Singh ;
Chandna, Parvesh ;
Choudhary, Om Parkash ;
Gupta, Rajeev K. ;
Thind, Harmit S. ;
Jagmohan-Singh ;
Uppal, Harminder S. ;
Khurana, Harmandeep S. ;
Ajay-Kumar ;
Uppal, Rajneet K. ;
Vashistha, Monika ;
Raun, William R. ;
Gupta, Raj .
AGRONOMY FOR SUSTAINABLE DEVELOPMENT, 2011, 31 (03) :589-603
[6]   Improving nitrogen use efficiency with minimal environmental risks using an active canopy sensor in a wheat-maize cropping system [J].
Cao, Qiang ;
Miao, Yuxin ;
Feng, Guohui ;
Gao, Xiaowei ;
Liu, Bin ;
Liu, Yuqing ;
Li, Fei ;
Khosla, Raj ;
Mulla, David J. ;
Zhang, Fusuo .
FIELD CROPS RESEARCH, 2017, 214 :365-372
[7]   Developing a new Crop Circle active canopy sensor-based precision nitrogen management strategy for winter wheat in North China Plain [J].
Cao, Qiang ;
Miao, Yuxin ;
Li, Fei ;
Gao, Xiaowei ;
Liu, Bin ;
Lu, Dianjun ;
Chen, Xinping .
PRECISION AGRICULTURE, 2017, 18 (01) :2-18
[8]   Improving in-season estimation of rice yield potential and responsiveness to topdressing nitrogen application with Crop Circle active crop canopy sensor [J].
Cao, Qiang ;
Miao, Yuxin ;
Shen, Jianning ;
Yu, Weifeng ;
Yuan, Fei ;
Cheng, Shanshan ;
Huang, Shanyu ;
Wang, Hongye ;
Yang, Wen ;
Liu, Fengyan .
PRECISION AGRICULTURE, 2016, 17 (02) :136-154
[9]   Active canopy sensing of winter wheat nitrogen status: An evaluation of two sensor systems [J].
Cao, Qiang ;
Miao, Yuxin ;
Feng, Guohui ;
Gao, Xiaowei ;
Li, Fei ;
Liu, Bin ;
Yue, Shanchao ;
Cheng, Shanshan ;
Ustin, Susan L. ;
Khosla, R. .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2015, 112 :54-67
[10]   Quantifying spatial variability of indigenous nitrogen supply for precision nitrogen management in small scale farming [J].
Cao, Qiang ;
Cui, Zhenling ;
Chen, Xinping ;
Khosla, Raj ;
Dao, Thanh H. ;
Miao, Yuxin .
PRECISION AGRICULTURE, 2012, 13 (01) :45-61