onr:"swepub:oai:DiVA.org:uu-482918"
Search: onr:"swepub:oai:DiVA.org:uu-482918" > Spectral characteri...
- 1 of 1
- Previous record
- Next record
- To hitlist
Spectral characteristics for estimation heavy metals accumulation in wheat plants and grain
- Amer, M. (author)
- Tyler, A. (author)
- Fouda, T. (author)
- show more...
- Hunter, P. (author)
- Elmetwalli, A. (author)
- Wilson, C. (author)
- show less...
- (creator_code:org_t)
- 2017
- 2017
- English.
- In: Scientific Papers-Series Management Economic Engineering in Agriculture and Rural Development. ; 17:3, s. 47-55
- Journal article (peer-reviewed)
Abstract
Subject headings
Close
- 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. 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).
Subject headings
- NATURVETENSKAP -- Biologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences (hsv//eng)
Keyword
- heavy metals
- remote sensing
- vegetation indices
- detecting stress
- toxicity
- leaves
- phytoremediation
- mechanisms
- tolerance
- responses
- copper
- soils
- rice
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
- Scientific Papers-Series Management Economic Engineering in Agriculture and Rura... (Search for host publication in LIBRIS)
To the university's database
- 1 of 1
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Amer, M.
- Tyler, A.
- Fouda, T.
- Hunter, P.
- Elmetwalli, A.
- Wilson, C.
- show more...
- Vallejo-Marin, M ...
- show less...
- About the subject
-
- NATURAL SCIENCES
- NATURAL SCIENCES
- and Biological Scien ...
- Articles in the publication
- Scientific Paper ...
- By the university
- Uppsala University
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
