Preprints
https://doi.org/10.5194/egusphere-2024-2082
https://doi.org/10.5194/egusphere-2024-2082
05 Aug 2024
 | 05 Aug 2024

Closing the phenotyping gap with non-invasive belowground field phenotyping

Guillaume Blanchy, Waldo Deroo, Tom De Swaef, Peter Lootens, Paul Quataert, Isabel Roldán-Ruíz, and Sarah Garré

Abstract. Breeding climate-robust crops is one of the needed pathways for adaptation to the changing climate. To speed up the breeding process, it is important to understand how plants react to extreme weather events such as drought or waterlogging in their production environment, i.e. under field conditions in real soils. Whereas a number of techniques exist for above-ground field phenotyping, simultaneous non-invasive belowground phenotyping remains difficult. In this paper, we present the first dataset of the new HYDRAS open access field phenotyping infrastructure, bringing electrical resistivity tomography, alongside drone imagery and environmental monitoring, to a technology readiness level closer to what breeders and researchers need. This paper investigates whether electrical resistivity tomography (ERT) provides sufficient precision and accuracy to distinguish between belowground plant traits of different genotypes of the same crop species. The proof-of-concept experiment was conducted in 2023 with three distinct soybean genotypes known for their contrasting reactions to drought stress. We illustrate how this new infrastructure addresses the issues of depth resolution, automated data processing, and phenotyping indicator extraction. The work shows that electrical resistivity tomography is ready to complement drone-based field phenotyping techniques to accomplish whole plant high-throughput field phenotyping.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Guillaume Blanchy, Waldo Deroo, Tom De Swaef, Peter Lootens, Paul Quataert, Isabel Roldán-Ruíz, and Sarah Garré

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-2082', Luca Peruzzo, 09 Sep 2024
    • AC3: 'Reply on RC1', Sarah Garré, 18 Sep 2024
      • EC1: 'Reply on AC3', Yuxin Wu, 11 Oct 2024
  • RC2: 'Comment on egusphere-2024-2082', Anonymous Referee #2, 11 Sep 2024
    • AC1: 'Reply on RC2', Sarah Garré, 18 Sep 2024
    • AC2: 'Reply on RC2', Sarah Garré, 18 Sep 2024
      • EC2: 'Reply on AC2', Yuxin Wu, 11 Oct 2024

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-2082', Luca Peruzzo, 09 Sep 2024
    • AC3: 'Reply on RC1', Sarah Garré, 18 Sep 2024
      • EC1: 'Reply on AC3', Yuxin Wu, 11 Oct 2024
  • RC2: 'Comment on egusphere-2024-2082', Anonymous Referee #2, 11 Sep 2024
    • AC1: 'Reply on RC2', Sarah Garré, 18 Sep 2024
    • AC2: 'Reply on RC2', Sarah Garré, 18 Sep 2024
      • EC2: 'Reply on AC2', Yuxin Wu, 11 Oct 2024
Guillaume Blanchy, Waldo Deroo, Tom De Swaef, Peter Lootens, Paul Quataert, Isabel Roldán-Ruíz, and Sarah Garré
Guillaume Blanchy, Waldo Deroo, Tom De Swaef, Peter Lootens, Paul Quataert, Isabel Roldán-Ruíz, and Sarah Garré

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Short summary
This work uses automated electrical resistivity tomography (ERT) for belowground field phenotyping alongside conventional field breeding techniques, thereby closing the phenotyping gap. We show that ERT is not only capable of measuring differences between crops, but also has sufficient precision to capture the differences between genotypes of the same crop. We automatically derive indicators, which can be translated to static and dynamic plant traits, directly useful for breeders.