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

  • S. Huang (a1) (a2), Y. Miao (a1), F. Yuan (a3), Q. Cao (a4), H. Ye (a5), V. Lenz-Wiedemann (a1) (a2), R. Khosla (a6) and G. Bareth (a1) (a2)...

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.

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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.
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.
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.
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.
Longchamps, L and Khosla, R 2014. Early detection of nitrogen variability in maize using fluorescence. Agronomy Journal 106, 511518.
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.
Tremblay, N, Wang, Z and Cerovic, ZG 2012. Sensing crop nitrogen status with fluorescence indicators. A review. Agronomy for Sustainable Development 32, 451464.
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.
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.

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