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@ARTICLE{Thomas:827360,
author = {Thomas, Stefan and Wahabzada, Mirwaes and Kuska, Matheus
Thomas and Rascher, Uwe and Mahlein, Anne-Katrin},
title = {{O}bservation of plant–pathogen interaction by
simultaneous hyperspectral imaging reflection and
transmission measurements},
journal = {Functional plant biology},
volume = {44},
number = {1},
issn = {1445-4408},
address = {Collingwood, Victoria},
publisher = {CSIRO Publ.},
reportid = {FZJ-2017-01496},
pages = {23 - 34},
year = {2017},
abstract = {Hyperspectral imaging sensors are valuable tools for plant
disease detection and plant phenotyping. Reflectance
properties are influenced by plant pathogens and resistance
responses, but changes of transmission characteristics of
plants are less described. In this study we used
simultaneously recorded reflectance and transmittance
imaging data of resistant and susceptible barley genotypes
that were inoculated with Blumeria graminis f. sp. hordei to
evaluate the added value of imaging transmission, reflection
and absorption for characterisation of disease development.
These datasets were statistically analysed using principal
component analysis, and compared with visual and molecular
disease estimation. Reflection measurement performed
significantly better for early detection of powdery mildew
infection, colonies could be detected 2 days before symptoms
became visible in RGB images. Transmission data could be
used to detect powdery mildew 2 days after symptoms becoming
visible in reflection based RGB images. Additionally
distinct transmission changes occurred at 580–650 nm for
pixels containing disease symptoms. It could be shown that
the additional information of the transmission data allows
for a clearer spatial differentiation and localisation
between powdery mildew symptoms and necrotic tissue on the
leaf then purely reflectance based data. Thus the
information of both measurement approaches are
complementary: reflectance based measurements facilitate an
early detection, and transmission measurements provide
additional information to better understand and quantify the
complex spatio-temporal dynamics of plant-pathogen
interactions.},
cin = {IBG-2},
ddc = {580},
cid = {I:(DE-Juel1)IBG-2-20101118},
pnm = {582 - Plant Science (POF3-582)},
pid = {G:(DE-HGF)POF3-582},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000391305400004},
doi = {10.1071/FP16127},
url = {https://juser.fz-juelich.de/record/827360},
}