A direct comparison of remote sensing approaches for high-throughput phenotyping in plant breeding

dc.creatorTattaris, M.
dc.creatorReynolds, M.P.
dc.creatorChapman, S.
dc.date2016-08-16T21:35:03Z
dc.date2016-08-16T21:35:03Z
dc.date2016
dc.date.accessioned2023-07-17T20:00:06Z
dc.date.available2023-07-17T20:00:06Z
dc.identifierhttp://hdl.handle.net/10883/17568
dc.identifier10.3389/fpls.2016.01131
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7510315
dc.descriptionRemote sensing (RS) of plant canopies permits non-intrusive, high-throughput monitoring of plant physiological characteristics. This study compared three RS approaches using a low flying UAV (unmanned aerial vehicle), with that of proximal sensing, and satellite-based imagery. Two physiological traits were considered, canopy temperature (CT) and a vegetation index (NDVI), to determine the most viable approaches for large scale crop genetic improvement. The UAV-based platform achieves plot-level resolution while measuring several hundred plots in one mission via high-resolution thermal and multispectral imagery measured at altitudes of 30–100 m. The satellite measures multispectral imagery from an altitude of 770 km. Information was compared with proximal measurements using IR thermometers and an NDVI sensor at a distance of 0.5–1 m above plots. For robust comparisons, CT and NDVI were assessed on panels of elite cultivars under irrigated and drought conditions, in different thermal regimes, and on un-adapted genetic resources under water deficit. Correlations between airborne data and yield/biomass at maturity were generally higher than equivalent proximal correlations. NDVI was derived from high-resolution satellite imagery for only larger sized plots (8.5 × 2.4 m) due to restricted pixel density. Results support use of UAV-based RS techniques for high-throughput phenotyping for both precision and efficiency.
dc.formatPDF
dc.languageEnglish
dc.publisherFrontiers
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dc.rightsOpen Access
dc.source1131
dc.source7
dc.sourceFrontiers in Plant Science
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectUAV
dc.subjectMultispectral
dc.subjectThermal
dc.subjectIndices
dc.subjectAirborne Imagery
dc.subjectHigh-Throughput Phenotyping
dc.subjectREMOTE SENSING
dc.subjectPHENOTYPES
dc.subjectPLANT BREEDING
dc.titleA direct comparison of remote sensing approaches for high-throughput phenotyping in plant breeding
dc.typeArticle
dc.coverageSwitzerland


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