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Contribution of high-resolution remotely sensed thermal-infrared imagery to high-throughput field phenotyping of an apple progeny submitted to water constraints

Virlet Nicolas, Gomez-Candon David, Lebourgeois Valentine, Martinez S., Jolivot Audrey, Lauri Pierre-Eric, Costes Evelyne, Labbé Sylvain, Regnard Jean-Luc. 2016. Contribution of high-resolution remotely sensed thermal-infrared imagery to high-throughput field phenotyping of an apple progeny submitted to water constraints. In : Proceedings of the international symposium on plant breeding in horticulture. Onus N. (ed.), Currie A. (ed.). ISHS. Brisbane : ISHS, pp. 243-250. (Acta Horticulturae, 1127) ISBN 978-94-62611-39-9 International Horticultural Congress on Horticulture: Sustaining Lives, Livelihoods and Landscapes (IHC2014): International Symposium on Plant Breeding in Horticulture. 29, Brisbane, Australie, 17 August 2014/22 August 2014.

Paper with proceedings
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Use under authorization by the author or CIRAD.
ID584069.pdf

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Abstract : The genetic variability of fruit trees in response to drought stress is scarcely studied. As adaptation of scion cultivars to abiotic constraints constitutes a new challenge for fruit production, in particular where water scarcity is likely to occur, development of high-throughput phenotyping strategies applicable in the field to assess the tree response to soil drought among large populations is needed, overcoming the limitations of usual in-planta measurements. In this research, remotely sensed images were acquired by ultra-light aircraft (ULA) and an unmanned aerial vehicle (UAV) during 4 years in a field trial where an apple progeny (122 hybrids) was studied under contrasted summer irrigation regimes. Ortho-images were simultaneously acquired in visible (RGB), near-infrared (NIR) and thermal-infrared (TIR) bands. After orthorectification, georeferencing and mosaicking, RGB and NIR images were used to compute different vegetation indices over the field trial, while TIR imaging allowed extraction of the vegetation surface temperature (Ts), which was calibrated at ground level by using hot and cold reference targets. The Morans' water deficit index (WDI), which combines the surface minus air temperature (Ts-Ta) and the normalized difference vegetation index (NDVI), was used as a stress phenotypic variable. WDI estimates the ratio of actual to maximal evapotranspiration (WDI=1NDASHETact/ETmax) in discontinuous plant covers. Like the Ts-Ta variable, it significantly discriminated the tree water statuses and genotypes. On the basis of different plant- and image-based indices, individual tree behaviour trends (isohydric vs. anisohydric) can be distinguished among the progeny, irrespective of tree vigour. This opens potential applications for plant breeding, and genetic bases of apple tree response to water stress are currently investigated through quantitative trait locus (QTL) detection. Making use of ULA with flights performed at 40-60 m altitude made it possible to strongly improve the TIR image resolution (~10 cm) and to limit the number of vegetation/soil mixed pixels. However, it will require careful image post-treatment, possibly including classification and/or segmentation. (Résumé d'auteur)

Mots-clés libres : Canopy surface temperature, Drought stress, Genetic variability, Image resolution, Malus domestica, Transpiration, Water deficit index

Classification Agris : U30 - Research methods
F60 - Plant physiology and biochemistry
H50 - Miscellaneous plant disorders

Auteurs et affiliations

  • Virlet Nicolas, Montpellier SupAgro (FRA)
  • Gomez-Candon David, Montpellier SupAgro (FRA)
  • Lebourgeois Valentine, CIRAD-ES-UMR TETIS (REU)
  • Martinez S., INRA (FRA)
  • Jolivot Audrey, CIRAD-ES-UMR TETIS (FRA)
  • Lauri Pierre-Eric, INRA (FRA)
  • Costes Evelyne, INRA (FRA)
  • Labbé Sylvain, IRSTEA (FRA)
  • Regnard Jean-Luc, Montpellier SupAgro (FRA)

Autres liens de la publication

Source : Cirad-Agritrop (https://agritrop.cirad.fr/584069/)

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