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

By Maria Tattaris, Matthew P Reynolds and Scott C Chapman

Abstract

Remote 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 0.5-1m 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 x 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

Topics: thermal imaging, UAV, high-throughput phenotyping, Multispectral imaging, airborne imagery, Plant culture, SB1-1110
Publisher: Frontiers Media S.A.
Year: 2016
DOI identifier: 10.3389/fpls.2016.01131/full
OAI identifier: oai:doaj.org/article:828eb40e9da74731addd9444b1d604d5
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