dc.contributor.author
Goltsev, Vasilij
dc.contributor.author
Zaharieva, Ivelina
dc.contributor.author
Chernev, Petko
dc.contributor.author
Kouzmanova, Margarita
dc.contributor.author
Kalaji, Hazem M.
dc.contributor.author
Yordanov, Ivan
dc.contributor.author
Krasteva, Vasilena
dc.contributor.author
Alexandrov, Vladimir
dc.contributor.author
Stefanov, Detelin
dc.contributor.author
Allakhverdiev, Suleyman I.
dc.contributor.author
Strasser, Reto J.
dc.date.accessioned
2018-06-08T07:16:57Z
dc.date.available
2014-03-14T11:29:00.153Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/17573
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-21457
dc.description.abstract
Water deficit is one of the most important environmental factors limiting
sustainable crop yields and it requires a reliable tool for fast and precise
quantification. In this work we use simultaneously recorded signals of
photoinduced prompt fluorescence (PF) and delayed fluorescence (DF) as well as
modulated reflection (MR) of light at 820 nm for analysis of the changes in
the photosynthetic activity in detached bean leaves during drying. Depending
on the severity of the water deficit we identify different changes in the
primary photosynthetic processes. When the relative water content (RWC) is
decreased to 60% there is a parallel decrease in the ratio between the rate of
excitation trapping in the Photosystem (PS) II reaction center and the rate of
reoxidation of reduced PSII acceptors. A further decrease of RWC to 20%
suppresses the electron transfer from the reduced plastoquinone pool to the
PSI reaction center. At RWC below values 15%, the reoxidation of the
photoreduced primary quinone acceptor of PSII, QA–, is inhibited and at less
than 5%, the primary photochemical reactions in PSI and II are inactivated.
Using the collected sets of PF, DF and MR signals, we construct and train an
artificial neural network, capable of recognizing the RWC in a series of
“unknown” samples with a correlation between calculated and gravimetrically
determined RWC values of about R2 ≈ 0.98. Our results demonstrate that this is
a reliable method for determination of RWC in detached leaves and after
further development it could be used for quantifying of drought stress of crop
plants in situ. This article is part of a Special Issue entitled:
Photosynthesis Research for Sustainability: from Natural to Artificial.
en
dc.rights.uri
http://www.elsevier.com/about/open-access/green-open-access
dc.subject
Artificial neural network
dc.subject
Delayed fluorescence
dc.subject
Drought stress
dc.subject
Prompt fluorescence
dc.subject
Reflection change at 820 nm
dc.subject.ddc
500 Naturwissenschaften und Mathematik::530 Physik
dc.title
Drought-induced modifications of photosynthetic electron transport in intact
leaves
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation
Biochimica et Biophysica Acta (BBA) - Bioenergetics. - 1817 (2012), 8, S.
1490-1498
dc.identifier.sepid
24321
dc.title.subtitle
Analysis and use of neural networks as a tool for a rapid non-invasive
estimation
dcterms.bibliographicCitation.doi
10.1016/j.bbabio.2012.04.018
dcterms.bibliographicCitation.url
http://dx.doi.org/10.1016/j.bbabio.2012.04.018
refubium.affiliation
Physik
de
refubium.affiliation.other
Institut für Experimentalphysik
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refubium.mycore.fudocsId
FUDOCS_document_000000019921
refubium.resourceType.isindependentpub
no
refubium.mycore.derivateId
FUDOCS_derivate_000000003278
dcterms.accessRights.openaire
open access
dcterms.isPartOf.issn
00052728