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dc.contributor.author
Joalland, Samuel
dc.contributor.author
Screpanti, Claudio
dc.contributor.author
Liebisch, Frank
dc.contributor.author
Varella, Hubert Vincent
dc.contributor.author
Gaume, Alain
dc.contributor.author
Walter, Achim
dc.date.accessioned
2017-11-08T13:11:39Z
dc.date.available
2017-10-06T02:32:24Z
dc.date.available
2017-11-08T13:11:39Z
dc.date.issued
2017-09-13
dc.identifier.issn
1746-4811
dc.identifier.other
10.1186/s13007-017-0223-1
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/190829
dc.identifier.doi
10.3929/ethz-b-000190829
dc.description.abstract
Background Phenotyping technologies are expected to provide predictive power for a range of applications in plant and crop sciences. Here, we use the disease pressure of Beet Cyst Nematodes (BCN) on sugar beet as an illustrative example to test the specific capabilities of different methods. Strong links between the above and belowground parts of sugar beet plants have made BCN suitable targets for use of non-destructive phenotyping methods. We compared the ability of visible light imaging, thermography and spectrometry to evaluate the effect of BCN on the growth of sugar beet plants. Results Two microplot experiments were sown with the nematode susceptible cultivar Aimanta and the nematode tolerant cultivar BlueFox under semi-field conditions. Visible imaging, thermal imaging and spectrometry were carried out on BCN infested and non-infested plants at different times during the plant development. Effects of a chemical nematicide were also evaluated using the three phenotyping methods. Leaf and beet biomass were measured at harvest. For both susceptible and tolerant cultivar, canopy area extracted from visible images was the earliest nematode stress indicator. Using such canopy area parameter, delay in leaf growth as well as benefit from a chemical nematicide could be detected already 15 days after sowing. Spectrometry was suitable to identify the stress even when the canopy reached full coverage. Thermography could only detect stress on the susceptible cultivar. Spectral Vegetation Indices related to canopy cover (NDVI and MCARI2) and chlorophyll content (CHLG) were correlated with the final yield (R = 0.69 on average for the susceptible cultivar) and the final nematode population in the soil (R = 0.78 on average for the susceptible cultivar). Conclusion In this paper we compare the use of visible imaging, thermography and spectrometry over two cultivars and 2 years under outdoor conditions. The three different techniques have their specific strengths in identifying BCN symptoms according to the type of cultivars and the growth stages of the sugar beet plants. Early detection of nematicide benefit and high yield predictability using visible imaging and spectrometry suggests promising applications for agricultural research and precision agriculture.
en_US
dc.language.iso
en
en_US
dc.publisher
BioMed Central
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Visible imaging
en_US
dc.subject
Spectrometry
en_US
dc.subject
Plant phenotyping
en_US
dc.subject
Root
en_US
dc.subject
Nematode
en_US
dc.subject
Thermography
en_US
dc.subject
Semi-field
en_US
dc.subject
Sugar beet
en_US
dc.title
Comparison of visible imaging, thermography and spectrometry methods to evaluate the effect of Heterodera schachtii inoculation on sugar beets
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
Plant Methods
ethz.journal.volume
13
en_US
ethz.journal.issue
73
en_US
ethz.journal.abbreviated
Plant methods
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02703 - Institut für Agrarwissenschaften / Institute of Agricultural Sciences::03894 - Walter, Achim / Walter, Achim
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02703 - Institut für Agrarwissenschaften / Institute of Agricultural Sciences::03894 - Walter, Achim / Walter, Achim
ethz.date.deposited
2017-10-06T02:32:46Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-11-08T13:11:44Z
ethz.rosetta.lastUpdated
2018-11-06T00:46:14Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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