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Proximal fluorescence sensing for in-season diagnosis of rice nitrogen status

Published online by Cambridge University Press:  01 June 2017

S. Huang ,
Y. Miao ,
F. Yuan ,
Q. Cao ,
H. Ye ,
V. Lenz-Wiedemann ,
R. Khosla  and
G. Bareth
S. Huang
Affiliation:
International Center for Agro-Informatics and Sustainable Development (ICASD), College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193China Institute of Geography, University of Cologne, 50923, Köln, Germany
Y. Miao*
Affiliation:
International Center for Agro-Informatics and Sustainable Development (ICASD), College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193China
F. Yuan
Affiliation:
Department of Geography, Minnesota State University, Mankato, MN, 56001, USA
Q. Cao
Affiliation:
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, Nanjing 210095, China
H. Ye
Affiliation:
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
V. Lenz-Wiedemann
Affiliation:
International Center for Agro-Informatics and Sustainable Development (ICASD), College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193China Institute of Geography, University of Cologne, 50923, Köln, Germany
R. Khosla
Affiliation:
Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO 80523USA
G. Bareth
Affiliation:
International Center for Agro-Informatics and Sustainable Development (ICASD), College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193China Institute of Geography, University of Cologne, 50923, Köln, Germany
*
†E-mail: ymiao@cau.edu.cn or ymiao2014@126.com
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Abstract

The objective of this study was to evaluate the potential of using Multiplex 3, a hand-held canopy fluorescence sensor, to determine rice nitrogen (N) status at different growth stages. In 2013, a paddy rice field experiment with five N fertilizer treatments and two varieties was conducted in Northeast China. Field samples and fluorescence data were collected simultaneously at the panicle initiation (PI), stem elongation (SE), and heading (HE) stages. Four N status indicators, leaf N concentration (LNC), plant N concentration (PNC), plant N uptake (PNU) and N nutrition index (NNI), were determined. The preliminary results indicated that different N application rates significantly affected most of the fluorescence variables, especially the simple fluorescence ratios (SFR_G, SFR_R), flavonoid (FLAV), and N balance indices (NBI_G, NBI_R). These variables were highly correlated with N status indicators. More studies are needed to further evaluate the accuracy of rice N status diagnosis using fluorescence sensing at different growth stages.

Keywords

Multiplex®3nitrogen balance indexnitrogen nutrition indexnitrogen status diagnosis
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. 343 - 348
Copyright
© The Animal Consortium 2017 

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