Skip to main content Accessibility help
×
Home
Hostname: page-component-768ffcd9cc-q6bj7 Total loading time: 0.297 Render date: 2022-12-04T00:10:48.470Z Has data issue: true Feature Flags: { "useRatesEcommerce": false } hasContentIssue true

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

Published online by Cambridge University Press:  01 June 2017

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
Get access

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.

Type
Precision Nitrogen
Copyright
© The Animal Consortium 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Agati, G, Foschi, L, Grossi, N, Guglielminetti, L, Cerovic, ZG and Volterrani, M 2013. Fluorescence-based versus reflectance proximal sensing of nitrogen content in Paspalum vaginatum and Zoysia matrella turfgrasses. European Journal of Agronomy 45, 3951.CrossRefGoogle Scholar
Cao, Q, Miao, Y, Wang, H, Huang, S, Cheng, S, Khosla, R and Jiang, R 2013. Non-destructive estimation of rice plant nitrogen status with Crop Circle multispectral active canopy sensor. Field Crops Research 154, 133144.CrossRefGoogle Scholar
Huang, S, Miao, Y, Zhao, G, Yuan, F, Ma, X, Tan, C et al. 2015. Satellite remote sensing-based in-season diagnosis of rice nitrogen status in Northeast China. Remote Sensing 7, 1064610667.CrossRefGoogle Scholar
Li, JW, Zhang, JX, Zhao, Z, Lei, XD, Xu, XL, Lu, XX et al. 2013. Use of fluorescence-based sensors to determine the nitrogen status of paddy rice. The Journal of Agricultural Science 151, 862871.CrossRefGoogle Scholar
Longchamps, L and Khosla, R 2014. Early detection of nitrogen variability in maize using fluorescence. Agronomy Journal 106, 511518.CrossRefGoogle Scholar
Meyer, S, Cerovic, ZG, Goulas, Y, Montpied, P, Demotes-Mainard, S, Bidel, LPR, et al. 2006. Relationships between optically assessed polyphenols and chlorophyll contents, and leaf mass per area ratio in woody plants: a signature of the carbon–nitrogen balance within leaves? Plant. Cell & Environment 29, 13381348.CrossRefGoogle Scholar
Tremblay, N, Wang, Z and Cerovic, ZG 2012. Sensing crop nitrogen status with fluorescence indicators. A review. Agronomy for Sustainable Development 32, 451464.CrossRefGoogle Scholar
Yao, Y, Miao, Y, Huang, S, Gao, L, Zhao, G, Jiang, R, et al. 2012. Active canopy sensor-based precision N management strategy for rice. Agronomy for Sustainable Development 32, 925933.CrossRefGoogle Scholar
Yao, Y, Miao, Y, Cao, Q, Wang, H, Gnyp, ML, Bareth, G, Khosla, R, Yang, W and Liu, C 2014. In-season estimation of rice nitrogen status with an active crop canopy sensor. Journal of Selected Topics in Applied Earth Observation and Remote Sensing 7, 44034413.CrossRefGoogle Scholar

Save article to Kindle

To save this article to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

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

Save article to Dropbox

To save this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you used this feature, you will be asked to authorise Cambridge Core to connect with your Dropbox account. Find out more about saving content to Dropbox.

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

Save article to Google Drive

To save this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you used this feature, you will be asked to authorise Cambridge Core to connect with your Google Drive account. Find out more about saving content to Google Drive.

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

Reply to: Submit a response

Please enter your response.

Your details

Please enter a valid email address.

Conflicting interests

Do you have any conflicting interests? *