Hostname: page-component-78c5997874-4rdpn Total loading time: 0 Render date: 2024-11-08T16:25:46.275Z Has data issue: false hasContentIssue false

Evaluation of the chlorophyll meter and GreenSeeker for the assessment of rice nitrogen status

Published online by Cambridge University Press:  01 June 2017

Ke Zhang
Affiliation:
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, 1 Weigang Road, Nanjing, Jiangsu 210095, P. R. China
Xiaokang Ge
Affiliation:
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, 1 Weigang Road, Nanjing, Jiangsu 210095, P. R. China
Xia Liu
Affiliation:
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, 1 Weigang Road, Nanjing, Jiangsu 210095, P. R. China
Zeyu Zhang
Affiliation:
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, 1 Weigang Road, Nanjing, Jiangsu 210095, P. R. China
Yan Liang
Affiliation:
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, 1 Weigang Road, Nanjing, Jiangsu 210095, P. R. China
Yongchao Tian
Affiliation:
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, 1 Weigang Road, Nanjing, Jiangsu 210095, P. R. China
Qiang Cao
Affiliation:
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, 1 Weigang Road, Nanjing, Jiangsu 210095, P. R. China
Weixing Cao
Affiliation:
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, 1 Weigang Road, Nanjing, Jiangsu 210095, P. R. China
Yan Zhu
Affiliation:
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, 1 Weigang Road, Nanjing, Jiangsu 210095, P. R. China
Xiaojun Liu*
Affiliation:
National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, 1 Weigang Road, Nanjing, Jiangsu 210095, P. R. China
*
Get access

Abstract

This work was to evaluate the differences of soil and plant analysis development (SPAD) and normalized difference vegetation index (NDVI) readings and their relationship with leaf nitrogen accumulation (LNA). The study explored new indices to diagnose nitrogen (N) status. These indices were obtained by multiplying SPAD readings and leaf area index (LAI). Linear regression relationships between Chlorophyll values and N indicators showed the SPAD readings (Chl: LNA=0.0546×Chl-0.479, R2=0.94***, P<0.001). The projected results suggested that Chl values could play an important role for improving N status diagnosis from stem elongation to heading stages in paddy rice.

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

Bürling, K, Hunsche, M and Noga, G 2011. Use of blue–green and chlorophyll fluorescence measurements for differentiation between nitrogen deficiency and pathogen infection in winter wheat. Journal of Plant Physiology 168, 16411648.CrossRefGoogle ScholarPubMed
Gitelson, AA, Viña, A, Ciganda, V, Rundquist, DC and Arkebauer, TJ 2005. Remote estimation of canopy chlorophyll content in crops. Geophysical Research Letters 32, 93114.CrossRefGoogle Scholar
Kanke, Y, Tubaña, B, Dalen, M and Harrell, D 2016. Evaluation of red and red-edge reflectance-based vegetation indices for rice biomass and grain yield prediction models in paddy fields. Precision Agriculture 17, 124.CrossRefGoogle Scholar
Jia, Y, Guo, N, Huang, LN and Jia, JH 2008. Ananlyses on MODIS-NDVI Index Saturation in Northwest China. Plateau Meteorology 27, 896903.Google Scholar
Chen, QC, Tian, YC, Xia, Y, Cao, WX and Yan, Z 2014. Comparison of five nitrogen dressing methods to optimize rice growth. Plant Production Science 17, 6680.CrossRefGoogle Scholar
Peng, S, Garcia, FV, Laza, RC, Sanico, AL, Visperas, RM and Cassman, KG 1996. Increased N-use efficiency using a chlorophyll meter on high-yielding irrigated rice. Field Crops Research 47, 243252.CrossRefGoogle Scholar
Shikada, M and Miyakita, K 1992. Effects of solar and view angles on reflectance for paddy field canopies. Geocarto International 7, 917.CrossRefGoogle Scholar
Subash, N, Mohan, HSR and Banukumar, K 2011. Comparing water-vegetative indices for rice (Oryza sativa L.) wheat (Triticum aestivum L.) drought assessment. Computers and Electronics in Agriculture 77, 175187.CrossRefGoogle Scholar
Wood, GA, Welsh, JP, Godwin, RJ, Taylor, JC, Earl, R and Knight, SM 2003. Real-time measures of canopy Size as a Basis for Spatially Varying Nitrogen Applications to Winter Wheat sown at Different Seed Rates. Biosystems Engineering 84, 513531.CrossRefGoogle Scholar
Yuan, Z, Cao, Q, Zhang, K, Tahir, AUKS, Tian, Y, Zhu, Y, Cao, W and Liu, X 2016. Optimal Leaf Positions for SPAD Meter Measurement in Rice. Frontiers in Plant Science 7, 719.CrossRefGoogle ScholarPubMed
Zhu, Y, Yao, X, Tian, YC, Liu, XJ and Cao, WX 2008. Analysis of common canopy vegetation indices for indicating leaf nitrogen accumulations in wheat and rice. International Journal of Applied Earth Observation and Geoinformation 10, 110.CrossRefGoogle Scholar