Spectral changes in the leaves of barley plant due to phytoremediation of metals—results from a pot study

Abstract This research studied the changes in leaf reflectance spectra (350–2500 nm) due to metal phytoextraction into barley plants grown in metal-spiked soils (3 levels of Cd, Pb, As and their metal-mixture treatments). Growth of barley was adversely affected due to 100 mg As kg-1 and metal-mixture (10 Cd+150 Pb+100 As; mg kg-1) treatments. Metal phytoextraction were in order of: root>straw≥leaves >grains. Results of reflectance spectra of leaves show the influence of As-treatment only, causing spectral changes in visible and infrared domains mostly, as apparent from the significant correlation between leaf-As and leaf-spectra. Chlorophyll and water stress indices and band depths analyses showed significant correlations to leaf-As, and can be used to distinguish metal-stressed plants. Finally, regression models demonstrate the potential use of hyperspectral reflectance data to monitor plant health during phytoremediation process and to estimate leaf-As in barley, particularly in this study.

[1]  H. Banejad,et al.  Arsenic Toxicity in the Irrigation Water-Soil-Plant System: A Significant Environmental Problem , 2011 .

[2]  Enzo Lombi,et al.  Phytoremediation of metals, metalloids, and radionuclides , 2002 .

[3]  N. Milton,et al.  Arsenic- and selenium-induced changes in spectral reflectance and morphology of soybean plants , 1989 .

[4]  James Barber,et al.  Effects of heavy metals on the absorbance and reflectance spectra of plants , 1980 .

[5]  M. Cho,et al.  A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method , 2006 .

[6]  K. Appenroth Definition of “Heavy Metals” and Their Role in Biological Systems , 2010 .

[7]  A. Vassilev PHYSIOLOGICAL AND AGROECOLOGICAL ASPECTS OF CADMIUM INTERACTIONS WITH BARLEY PLANTS: AN OVERVIEW , 2003 .

[8]  K. Lenti,et al.  Characterization of the stimulating effect of low-dose stressors in maize and bean seedlings. , 2003, Journal of plant physiology.

[9]  B. Singh,et al.  Effect of different forms and sources of arsenic on crop yield and arsenic concentration , 1994, Water, Air, and Soil Pollution.

[10]  F. Han,et al.  Monitoring the effects of arsenic and chromium accumulation in Chinese brake fern (Pteris vittata) , 2007 .

[11]  Barry Haack,et al.  Spectroscopic Analysis of Arsenic Uptake in Pteris Ferns , 2009, Remote. Sens..

[12]  B. Sridhar,et al.  Spectral reflectance and leaf internal structure changes of barley plants due to phytoextraction of zinc and cadmium , 2007 .

[13]  P. Curran,et al.  A new technique for interpolating the reflectance red edge position , 1998 .

[14]  A. Vassilev,et al.  REDUCTIVE ANALYSIS OF FACTORS LIMITING GROWTH OF CADMIUM-TREATED PLANTS : A REVIEW , 1997 .

[15]  C. Daughtry,et al.  Quantifying arsenic-induced morphological changes in spinach leaves: implications for remote sensing , 2010 .

[16]  Alina Kabata Pendias Henryk pendias Boca Raton Trace elements in soils and plants , 2016 .

[17]  B. Gao NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space , 1996 .

[18]  A. Formaggio,et al.  Discrimination of sugarcane varieties in Southeastern Brazil with EO-1 Hyperion data , 2005 .

[19]  L. Buydens,et al.  Exploring field vegetation reflectance as an indicator of soil contamination in river floodplains. , 2004, Environmental pollution.

[20]  C. Poschenrieder,et al.  Structural and Ultrastructural Changes in Heavy Metal Exposed Plants , 2004 .

[21]  Li Yin-ming,et al.  Notice of RetractionSpectral Features and Regression Model of Mine Vegetation in the Press of Heavy Metal , 2010, 2010 Second International Workshop on Education Technology and Computer Science.

[22]  Liu Xinhui,et al.  Study on the spectral response of Brassica Campestris L . leaf to the copper pollution , 2008 .

[23]  B. Sridhar,et al.  Effect of Bioaccumulation of Cs and Sr Natural Isotopes on Foliar Structure and Plant Spectral Reflectance of Indian Mustard (Brassica Juncea) , 2007 .

[24]  Sarah C Dunagan,et al.  Effects of mercury on visible/near-infrared reflectance spectra of mustard spinach plants (Brassica rapa P.). , 2007, Environmental pollution.

[25]  S. Sheppard Summary of phytotoxic levels of soil arsenic , 1992 .

[26]  D. Sims,et al.  Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages , 2002 .

[27]  [Study on canopy spectral characteristics of paddy polluted by heavy metals]. , 2010, Guang pu xue yu guang pu fen xi = Guang pu.

[28]  J. J. Colls,et al.  Use of hyperspectral derivative ratios in the red-edge region to identify plant stress responses to gas leaks , 2004 .

[29]  J. Clevers,et al.  Study of heavy metal contamination in river floodplains using the red-edge position in spectroscopic data , 2004 .

[30]  N. Kitajima,et al.  Physiological and Mineralogical Properties of Arsenic-Induced Chlorosis in Barley Seedlings Grown Hydroponically , 2008 .

[31]  U. Güner,et al.  Effects of Arsenate and Arsenite on Germination and Some Physiological Attributes of Barley Hordeum vulgare L. , 2014, Bulletin of Environmental Contamination and Toxicology.

[32]  A. Savitzky,et al.  Smoothing and Differentiation of Data by Simplified Least Squares Procedures. , 1964 .

[33]  C. Mao,et al.  Comparison of two hyperspectral imaging and two laser-induced fluorescence instruments for the detection of zinc stress and chlorophyll concentration in bahia grass (Paspalum notatum Flugge.) , 2003 .

[34]  R. Berry The manurial properties of lead nitrate , 1924, The Journal of Agricultural Science.

[35]  L. Carrascal,et al.  Partial least squares regression as an alternative to current regression methods used in ecology , 2009 .

[36]  Andrew K. Skidmore,et al.  Continuum removed band depth analysis for detecting the effects of natural gas, methane and ethane on maize reflectance , 2006 .

[37]  G. Carter,et al.  Leaf optical properties in higher plants: linking spectral characteristics to stress and chlorophyll concentration. , 2001, American journal of botany.

[38]  B. J. Alloway,et al.  Heavy Metals in Soils: Trace Metals and Metalloids in Soils and their Bioavailability , 2013 .

[39]  A. Huete,et al.  A review of vegetation indices , 1995 .

[40]  G. Zhang,et al.  Physiological changes in barley plants under combined toxicity of aluminum, copper and cadmium. , 2007, Colloids and surfaces. B, Biointerfaces.

[41]  Á. Carbonell-Barrachina,et al.  The influence of arsenite concentration on arsenic accumulation in tomato and bean plants , 1997 .

[42]  J. Vangronsveld,et al.  CADMIUM PHYTOEXTRACTION: PRESENT STATE, BIOLOGICAL BACKGROUNDS AND RESEARCH NEEDS , 2002 .

[43]  J. A. Schell,et al.  Monitoring vegetation systems in the great plains with ERTS , 1973 .

[44]  Doreen S. Boyd,et al.  Remote sensing the radionuclide contaminated Belarusian landscape: a potential for imaging spectrometry? , 2006 .

[45]  Paul E. Flathman,et al.  PHYTOREMEDIATION: CURRENT VIEWS ON AN EMERGING GREEN TECHNOLOGY , 1998 .

[46]  P. Curran Remote sensing of foliar chemistry , 1989 .

[47]  John R. Miller,et al.  Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data , 2001, IEEE Trans. Geosci. Remote. Sens..

[48]  Ilya Raskin,et al.  Rhizofiltration: the use of plants to remove heavy metals from aqueous streams. , 1995, Environmental science & technology.

[49]  N. Garg,et al.  Arsenic toxicity in crop plants: physiological effects and tolerance mechanisms , 2011 .

[50]  J. Žaltauskaitė,et al.  Evaluation of Toxic Effects and Bioaccumulation of Cadmium and Copper in Spring Barley (Hordeum vulgare L.) , 2013 .

[51]  Josep Peñuelas,et al.  Visible and near-infrared reflectance techniques for diagnosing plant physiological status , 1998 .

[52]  R. Clark,et al.  Spectroscopic Determination of Leaf Biochemistry Using Band-Depth Analysis of Absorption Features and Stepwise Multiple Linear Regression , 1999 .

[53]  D. Horler,et al.  The red edge of plant leaf reflectance , 1983 .

[54]  B. Rock,et al.  Detection of changes in leaf water content using Near- and Middle-Infrared reflectances , 1989 .

[55]  R. Clark,et al.  Reflectance spectroscopy: Quantitative analysis techniques for remote sensing applications , 1984 .

[56]  B. Piršelová Monitoring the sensitivity of selected crops to lead, cadmium and arsenic , 2011 .