Literature DB >> 17292510

Changes in the first derivatives of leaf reflectance spectra of various plants induced by variations of chlorophyll content.

Svetlana M Kochubey1, Taras A Kazantsev.   

Abstract

Reflectance spectra of leaves of winter wheat, maize, sugar beet and wild vine have been measured. Chlorophyll variations induce changes in the first derivatives of the reflectance spectra. A correlation of various derivative indices such as D(725)/D(702), D(lw)/D(sw), D(lw)/D(702), D(725)/D(sw,)D(715)/D(702), D(m)/D(sw), D(m)/D(702) and D(715)/D(sw) with chlorophyll content was tested, when D is the relative height of the first derivative, the subscript numbers give the wavelength in nm for fixed determination and lw, m and sw are the determination in the long-, medium- and short-wavelength maximum, respectively. The short- and long-wavelength maxima are in the range of 690-730 nm, the medium peak is within the other two, in the range of 710-715 nm. Regression models have been obtained for all types of indices and for all studied plant species. The most promising regression model has been selected. This type of model has been similar for maize, sugar beet and wild vine; therefore, a unified regression model is shown to be applicable for chlorophyll estimation in leaves of these species. The regression model for winter wheat was essentially distinct from both individual and unified models for other studied plants. Reasons for the difference in regression models for various species are discussed.

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Year:  2007        PMID: 17292510     DOI: 10.1016/j.jplph.2006.11.007

Source DB:  PubMed          Journal:  J Plant Physiol        ISSN: 0176-1617            Impact factor:   3.549


  3 in total

1.  Meta-Analysis of the Detection of Plant Pigment Concentrations Using Hyperspectral Remotely Sensed Data.

Authors:  Jingfeng Huang; Chen Wei; Yao Zhang; George Alan Blackburn; Xiuzhen Wang; Chuanwen Wei; Jing Wang
Journal:  PLoS One       Date:  2015-09-10       Impact factor: 3.240

2.  Accurate Digitization of the Chlorophyll Distribution of Individual Rice Leaves Using Hyperspectral Imaging and an Integrated Image Analysis Pipeline.

Authors:  Hui Feng; Guoxing Chen; Lizhong Xiong; Qian Liu; Wanneng Yang
Journal:  Front Plant Sci       Date:  2017-07-25       Impact factor: 5.753

3.  Estimating Chlorophyll Content of Leafy Green Vegetables from Adaxial and Abaxial Reflectance.

Authors:  Fan Lu; Zhaojun Bu; Shan Lu
Journal:  Sensors (Basel)       Date:  2019-09-20       Impact factor: 3.576

  3 in total

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