Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/26619
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dc.contributor.authorAmer, Mayieen_UK
dc.contributor.authorTyler, Andrewen_UK
dc.contributor.authorFouda, Tareken_UK
dc.contributor.authorHunter, Peteren_UK
dc.contributor.authorElmetwalli, Adel Mohamed Hen_UK
dc.contributor.authorWilson, Clareen_UK
dc.contributor.authorVallejo-Marín, Marioen_UK
dc.date.accessioned2018-02-06T23:21:02Z-
dc.date.available2018-02-06T23:21:02Z-
dc.date.issued2017-10en_UK
dc.identifier.urihttp://hdl.handle.net/1893/26619-
dc.description.abstractPlants 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. Therefor this study aimed to analysing 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).en_UK
dc.language.isoenen_UK
dc.publisherUniversity of Agricultural Sciences and Veterinary Medicine Bucharest Romaniaen_UK
dc.relationAmer M, Tyler A, Fouda T, Hunter P, Elmetwalli AMH, Wilson C & Vallejo-Marín M (2017) Spectral Characteristics for Estimation Heavy Metals Accumulation in Wheat Plants and Grain. Scientific Papers Series: Management, Economic Engineering and Rural Development, 17 (3), pp. 47-55. http://managementjournal.usamv.ro/index.php/scientific-papers/1451-spectral-characteristics-for-estimation-heavy-metals-accumulation-in-wheat-plants-and-grain-1451en_UK
dc.rightsAll research articles published in Scientific Papers in full text are immediately freely available to read, download, copy, distribute, print, search, link and share.en_UK
dc.subjectheavy metalsen_UK
dc.subjectremote sensingen_UK
dc.subjectvegetation indicesen_UK
dc.subjectdetecting stressen_UK
dc.titleSpectral Characteristics for Estimation Heavy Metals Accumulation in Wheat Plants and Grainen_UK
dc.typeJournal Articleen_UK
dc.citation.jtitleScientific Papers Series: Management, Economic Engineering and Rural Developmenten_UK
dc.citation.issn2285-3952en_UK
dc.citation.issn2284-7995en_UK
dc.citation.volume17en_UK
dc.citation.issue3en_UK
dc.citation.spage47en_UK
dc.citation.epage55en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.identifier.urlhttp://managementjournal.usamv.ro/index.php/scientific-papers/1451-spectral-characteristics-for-estimation-heavy-metals-accumulation-in-wheat-plants-and-grain-1451en_UK
dc.contributor.affiliationUniversity of Tantaen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationUniversity of Tantaen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationUniversity of Tantaen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.identifier.isiWOS:000419287400005en_UK
dc.identifier.wtid500993en_UK
dc.contributor.orcid0000-0003-0604-5827en_UK
dc.contributor.orcid0000-0001-7269-795Xen_UK
dc.contributor.orcid0000-0002-0287-8576en_UK
dc.contributor.orcid0000-0002-5663-8025en_UK
dc.date.accepted2017-10-01en_UK
dcterms.dateAccepted2017-10-01en_UK
dc.date.filedepositdate2018-02-05en_UK
rioxxterms.apcnot chargeden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorAmer, Mayie|en_UK
local.rioxx.authorTyler, Andrew|0000-0003-0604-5827en_UK
local.rioxx.authorFouda, Tarek|en_UK
local.rioxx.authorHunter, Peter|0000-0001-7269-795Xen_UK
local.rioxx.authorElmetwalli, Adel Mohamed H|en_UK
local.rioxx.authorWilson, Clare|0000-0002-0287-8576en_UK
local.rioxx.authorVallejo-Marín, Mario|0000-0002-5663-8025en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2018-02-05en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/all-rights-reserved|2018-02-05|en_UK
local.rioxx.filenameArt5.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2284-7995en_UK
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