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@ARTICLE{Heymans:901970,
      author       = {Heymans, Adrien and Couvreur, Valentin and Lobet,
                      Guillaume},
      title        = {{C}ombining cross‐section images and modeling tools to
                      create high‐resolution root system hydraulic atlases in
                      {Z}ea mays},
      journal      = {Plant direct},
      volume       = {5},
      number       = {7},
      issn         = {2475-4455},
      address      = {Hoboken, NJ},
      publisher    = {Wiley},
      reportid     = {FZJ-2021-03944},
      pages        = {e00290},
      year         = {2021},
      abstract     = {Root hydraulic properties play a central role in the global
                      water cycle, in agricultural systems productivity, and in
                      ecosystem survival as they impact the canopy water supply.
                      However, the existing experimental methods to quantify root
                      hydraulic conductivities, such as the root pressure probing,
                      are particularly challenging, and their applicability to
                      thin roots and small root segments is limited. Therefore,
                      there is a gap in methods enabling easy estimations of root
                      hydraulic conductivities in diverse root types. Here, we
                      present a new pipeline to quickly estimate root hydraulic
                      conductivities across different root types, at high
                      resolution along root axes. Shortly, free-hand root
                      cross-sections were used to extract a selected number of key
                      anatomical traits. We used these traits to parametrize the
                      Generator of Root Anatomy in R (GRANAR) model to simulate
                      root anatomical networks. Finally, we used these generated
                      anatomical networks within the Model of Explicit
                      Cross-section Hydraulic Anatomy (MECHA) to compute an
                      estimation of the root axial and radial hydraulic
                      conductivities (kx and kr, respectively). Using this
                      combination of anatomical data and computational models, we
                      were able to create a root hydraulic conductivity atlas at
                      the root system level, for 14-day-old pot-grown Zea mays
                      (maize) plants of the var. B73. The altas highlights the
                      significant functional variations along and between
                      different root types. For instance, predicted variations of
                      radial conductivity along the root axis were strongly
                      dependent on the maturation stage of hydrophobic barriers.
                      The same was also true for the maturation rates of the
                      metaxylem vessels. Differences in anatomical traits along
                      and across root types generated substantial variations in
                      radial and axial conductivities estimated with our novel
                      approach. Our methodological pipeline combines anatomical
                      data and computational models to turn root cross-section
                      images into a detailed hydraulic atlas. It is an
                      inexpensive, fast, and easily applicable investigation tool
                      for root hydraulics that complements existing complex
                      experimental methods. It opens the way to high-throughput
                      studies on the functional importance of root types in plant
                      hydraulics, especially if combined with novel phenotyping
                      techniques such as laser ablation tomography.},
      cin          = {IBG-3},
      ddc          = {580},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {2173 - Agro-biogeosystems: controls, feedbacks and impact
                      (POF4-217)},
      pid          = {G:(DE-HGF)POF4-2173},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {34355112},
      UT           = {WOS:000678808800001},
      doi          = {10.1002/pld3.334},
      url          = {https://juser.fz-juelich.de/record/901970},
}