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

Author: Tattaris, M.
Author: Reynolds, M.P.
Author: Chapman, S.
Year: 2016
URI: http://hdl.handle.net/10883/17568
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 0.5–1 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.
Format: PDF
Language: English
Publisher: Frontiers
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Type: Article
Place of Publication: Switzerland
Issue: 1131
Volume: 7
DOI: 10.3389/fpls.2016.01131
Keywords: UAV
Keywords: Multispectral
Keywords: Thermal
Keywords: Indices
Keywords: Airborne Imagery
Keywords: High-Throughput Phenotyping
Agrovoc: REMOTE SENSING
Agrovoc: PHENOTYPES
Agrovoc: PLANT BREEDING
Journal: Frontiers in Plant Science


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  • Wheat
    Wheat - breeding, phytopathology, physiology, quality, biotech

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