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Evaluating a Crop Circle active sensor-based in-season nitrogen management algorithm in different winter wheat cropping systems

Published online by Cambridge University Press:  01 June 2017

L. Zhou ,
G. Chen ,
Y. Miao ,
H. Zhang ,
Z. Chen ,
L. Xu  and
L. Guo
L. Zhou
Affiliation:
International Center for Agro-Informatics and Sustainable Development (ICASD), College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193China
G. Chen
Affiliation:
International Center for Agro-Informatics and Sustainable Development (ICASD), College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193China
Y. Miao*
Affiliation:
International Center for Agro-Informatics and Sustainable Development (ICASD), College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193China
H. Zhang
Affiliation:
International Center for Agro-Informatics and Sustainable Development (ICASD), College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193China
Z. Chen
Affiliation:
College of Surveying, Mapping and Land Information Engineering, Henan Polytechnic University, Jiaozuo,454000 Henan, China
L. Xu
Affiliation:
International Center for Agro-Informatics and Sustainable Development (ICASD), College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193China
L. Guo
Affiliation:
International Center for Agro-Informatics and Sustainable Development (ICASD), College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193China
*
†E-mail: [email protected] or [email protected]
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Abstract

The objective of this study was to evaluate the performance of a Crop Circle sensor-based precision nitrogen (N) management (PNM) strategy in different winter wheat cropping systems under on-farm conditions in North China Plain (NCP). Four farmer’s fields were selected for on-farm experiments in Laoling County, Shandong Province of NCP in 2015-2016. In each field, the PNM strategy was evaluated in two winter wheat cropping systems: farmer’s conventional management (FCM) and regional optimum crop management (ROCM). In each cropping system, there were two N management strategies: 1) FCM or ROCM; 2) PNM. The results indicated that the PNM strategy significantly increased partial factor productivity (PFP) by 29% in the FCM system, but did not have any significant improvement in the ROCM system. The ROCM system, using either regional optimum N management or PNM, significantly increased both grain yield and PFP than the FCM system.

Keywords

precision in-season nitrogen managementregional optimum nitrogen managementpartial factor productivity
Type
Precision Nitrogen
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 364 - 367
Copyright
© The Animal Consortium 2017 

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Footnotes

*

These authors contributed equally to this work.

References

Cao, Q, Cui, Z, Chen, X, Khosla, R, Dao, TH and Miao, Y 2012. Quantifying spatial variability of indigenous nitrogen supply for precision nitrogen management in small scale farming. Precision Agriculutre 13, 45–61.CrossRefGoogle Scholar
Cao, Q, Miao, Y, Feng, G, Gao, X, Li, F, Liu, B et al. 2015. Active canopy sensing of winter wheat nitrogen status: an evaluation of two sensor systems. Computers and Electronics in Agriculture 112, 54–67.CrossRefGoogle Scholar
Cao, Q, Miao, Y, Shen, J, Yu, W, Yuan, F, Cheng, S, Huang, S, Wang, H, Yang, W and Liu, F 2016. Improving in-season estimation of rice yield potential and responsiveness to topdressing nitrogen application with Crop Circle active crop canopy sensor. Precision Agriculture 17, 136–154.CrossRefGoogle Scholar
Cao, Q, Miao, Y, Li, F, Gao, X, Liu, B, Lu, D et al. 2017. Developing a new crop circle active canopy sensor-based precision nitrogen management strategy for winter wheat in north china plain. Precision Agriculture 18, 2–18.CrossRefGoogle Scholar
Chen, X, Cui, Z, Fan, M, Vitousek, P, Zhao, M, Ma, W et al. 2014. Producing more grain with lower environmental costs. Nature 514 (7523), 486–489.CrossRefGoogle ScholarPubMed
Diacono, M, Rubino, P and Montemurro, F 2013. Precision nitrogen management of wheat. a review. Agronomy for Sustainable Development 33 (1), 219–241.CrossRefGoogle Scholar
Li, F, Miao, Y, Zhang, F, Cui, Z, Li, R, Chen, X et al. 2009. In-season optical sensing improves nitrogen-use efficiency for winter wheat. Soil Science Society of America Journal 73 (5), 1566–1574.CrossRefGoogle Scholar
Miao, Y, Mulla, DJ, Hernandez, JA, Wiebers, M and Robert, PC 2007. Potential impact of precision nitrogen management on corn yield, protein content, and test weight. Soil Science Society of America Journal 71 (5), 1490–1499.CrossRefGoogle Scholar
Miao, Y, Stewart, BA and Zhang, F 2011. Long-term experiments for sustainable nutrient management in China. A review. Agronomy for Sustainable Development 31, 397–414.CrossRefGoogle Scholar
Yao, Y, Miao, Y, Cao, Q, Wang, H, Gnyp, ML, Bareth, G et al. 2014. In-season estimation of rice nitrogen status with an active crop canopy sensor. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7 (11), 4403–4413.CrossRefGoogle Scholar
Yao, Y, Miao, Y, Huang, S, Gao, L, Ma, X, Zhao, G et al. 2012. Active canopy sensor-based precision N management strategy for rice. Agronomy for Sustainable Development 32 (4), 925–933.CrossRefGoogle Scholar
Zhao, G, Miao, Y, Wang, H, Su, M, Fan, M, Zhang, F et al 2013. A preliminary precision rice management system for increasing both grain yield and nitrogen use efficiency. Field Crops Research 154 (3), 23–30.CrossRefGoogle Scholar