Literature DB >> 20506579

Detection of nitrogen-overfertilized rice plants with leaf positional difference in hyperspectral vegetation index.

Qi-fa Zhou1, Zhan-yu Liu, Jing-feng Huang.   

Abstract

The main objective of this work was to compare the applicability of the single leaf (the uppermost leaf L1 and the third uppermost leaf L3) modified simple ratio (mSR(705) index) and the leaf positional difference in the vegetation index between L1 and L3 (mSR(705L1)-mSR(705L3)) in detecting nitrogen (N)-overfertilized rice plants. A field experiment consisting of three rice genotypes and five N fertilization levels (0, 75, 180, 285, and 390 kg N/ha) was conducted at Xiaoshan, Hangzhou, Zhejiang Province, China in 2008. The hyperspectral reflectance (350-2500 nm) and the chlorophyll concentration (ChlC) of L1 and L3 were measured at different stages. The mSR(705L1) and mSR(705L3) indices appeared not to be highly sensitive to the N rates, especially when the N rate was high (above 180 kg N/ha). The mean mSR(705L1)-mSR(705L3) across the genotypes increased significantly (P<0.05) or considerably from 180 to 285 kg N/ha treatment and from 285 to 390 kg N/ha treatment at all the stages. Also, use of the difference (mSR(705L1)-mSR(705L3)) greatly reduced the influence of the stages and genotypes in assessing the N status with reflectance data. The results of this study show that the N-overfertilized rice plants can be effectively detected with the leaf positional difference in the mSR(705) index.

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Year:  2010        PMID: 20506579      PMCID: PMC2880361          DOI: 10.1631/jzus.B0900348

Source DB:  PubMed          Journal:  J Zhejiang Univ Sci B        ISSN: 1673-1581            Impact factor:   3.066


  2 in total

1.  Differentiation among effects of nitrogen fertilization treatments on conifer seedlings by foliar reflectance: a comparison of methods.

Authors:  J A Moran; A K Mitchell; G Goodmanson; K A Stockburger
Journal:  Tree Physiol       Date:  2000-10       Impact factor: 4.196

2.  Monitoring rice nitrogen status using hyperspectral reflectance and artificial neural network.

Authors:  Qiu-Xiang Yi; Jing-Feng Huang; Fu-Min Wang; Xiu-Zhen Wang; Zhan-Yu Liu
Journal:  Environ Sci Technol       Date:  2007-10-01       Impact factor: 9.028

  2 in total
  2 in total

Review 1.  A review of methods for sensing the nitrogen status in plants: advantages, disadvantages and recent advances.

Authors:  Rafael F Muñoz-Huerta; Ramon G Guevara-Gonzalez; Luis M Contreras-Medina; Irineo Torres-Pacheco; Juan Prado-Olivarez; Rosalia V Ocampo-Velazquez
Journal:  Sensors (Basel)       Date:  2013-08-16       Impact factor: 3.576

2.  An analysis of electrical impedance measurements applied for plant N status estimation in lettuce (Lactuca sativa).

Authors:  Rafael F Muñoz-Huerta; Antonio de J Ortiz-Melendez; Ramon G Guevara-Gonzalez; Irineo Torres-Pacheco; Gilberto Herrera-Ruiz; Luis M Contreras-Medina; Juan Prado-Olivarez; Rosalia V Ocampo-Velazquez
Journal:  Sensors (Basel)       Date:  2014-06-27       Impact factor: 3.576

  2 in total

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