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SPECTRAL CHARACTERISTICS FOR ESTIMATION HEAVY METALS ACCUMULATION IN WHEAT PLANTS AND GRAIN

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Last updated: 04 Jan 2025

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Abstract

Plants would the start with step of a metal's pathway starting with the dirt on heterotrophic creatures for example, such that animals and humans, thus the substance from claiming metallic follow components for eatable parts of a plant representable accessible load of these metals that might enter those natural way of life through plants. Around metal elements, Cu and Zn would micro nutrients as they are essential in trace concentrations for physiological processes in plants. Furthermore consequently would a critical part from the soil–plant–food continuum. Therefore this study aimed to analyzing the performance of multivariate hyperspectral vegetation indices of wheat (Triticum aestivum L.) in estimating the accumulation of these elements in plant dry mutter and the final product of Egyptian wheat crop irrigated with high concentrations of Zn and Cu. We applied five concentrations for each element (0.05, 20, 40, 100, and 150 ppm of Zn) and (0.02, 8, 10, 12, and 15 ppm of Cu) to a controlled greenhouse experiment to examine the effect of these concentrations on plant spectral characteristics and study the possibility of using spectroradiometry measurements for identifying the grain content of these metals. The results demonstrated that
The hyperspectral vegetation indices had a potential for monitoring Zn concentration in the plant dry matter. NPCI and PSSR had a highest correlation with Cu phytoaccumulation into the grains with highest significant level (P-Value < 0.01) and (r) values (-0.39, -0.42).
Conclusively, Results of present study demonstrate that hyperspectral reflectance data, as well as studied VIs appears to have potentials for monitoring the phytoaccumulation of Zn into above-ground parts of wheat. The hyperspectral vegetation indices had insignificant correlation with Zn accumulation in to the grains, but it had a significant negative relationship with Cu concentration in grains with low correlation coefficient values. 
 

DOI

10.21608/jpd.2019.41905

Keywords

Heavy metals, Remote Sensing, Vegetation Indices, detecting stress

Authors

First Name

Mai

Last Name

Amer

MiddleName

-

Affiliation

Agricultural Engineering Dept., Faculty of Agriculture, Tanta University, Egypt

Email

m.m.amer@stir.ac.uk

City

Tanta

Orcid

-

First Name

Ay

Last Name

Tyler

MiddleName

-

Affiliation

Biological and Environmental Sciences, School of Natural Sciences, University of Stirling , Stirling, Scotland, UK

Email

-

City

UK

Orcid

-

First Name

Clare

Last Name

Wilson

MiddleName

-

Affiliation

Biological and Environmental Sciences, School of Natural Sciences, University of Stirling , Stirling, Scotland, UK

Email

-

City

UK

Orcid

-

First Name

Mario

Last Name

Vallejo-Marin

MiddleName

-

Affiliation

Agricultural Engineering Dept., Faculty of Agriculture, Tanta University, Egypt b Biological and Environmental Sciences, School of Natural Sciences, University of Stirling , Stirling, Scotland, UK

Email

-

City

UK

Orcid

-

First Name

Bi

Last Name

Hunter

MiddleName

-

Affiliation

Biological and Environmental Sciences, School of Natural Sciences, University of Stirling , Stirling, Scotland, UK

Email

-

City

UK

Orcid

-

First Name

Tarek

Last Name

Fouda

MiddleName

-

Affiliation

Agricultural Engineering Dept., Faculty of Agriculture, Tanta University, Egypt

Email

-

City

Tanta

Orcid

-

First Name

Adel

Last Name

El Metwaly

MiddleName

-

Affiliation

Agricultural Engineering Dept., Faculty of Agriculture, Tanta University, Egypt

Email

-

City

Tanta

Orcid

-

Volume

22

Article Issue

3

Related Issue

6557

Issue Date

2017-08-01

Receive Date

2017-04-06

Publish Date

2017-08-01

Page Start

409

Page End

428

Print ISSN

1110-2543

Online ISSN

2682-3322

Article File

JPD_Volume 22_Issue 3_Pages 409-428.pdf

PDF . 966.5kB

Link

https://jpd.journals.ekb.eg/article_41905.html

Detail API

https://jpd.journals.ekb.eg/service?article_code=41905

Order

1

Type

Original Article

Type Code

867

Publication Type

Journal

Publication Title

Journal of Productivity and Development

Publication Link

https://jpd.journals.ekb.eg/

MainTitle

SPECTRAL CHARACTERISTICS FOR ESTIMATION HEAVY METALS ACCUMULATION IN WHEAT PLANTS AND GRAIN

Details

Type

Article

Created At

22 Jan 2023