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@ARTICLE{Leitner:171894,
      author       = {Leitner, Daniel and Meunier, Félicien and Bodner, Gernot
                      and Javaux, Mathieu and Schnepf, Andrea},
      title        = {{I}mpact of contrasted maize root traits at flowering on
                      water stress tolerance – {A} simulation study},
      journal      = {Field crops research},
      volume       = {165},
      issn         = {0378-4290},
      address      = {Amsterdam},
      publisher    = {Elsevier},
      reportid     = {FZJ-2014-05450},
      pages        = {125 - 137},
      year         = {2014},
      abstract     = {Water stress is among the dominant yield limiting factors
                      in global crop production. Better drought resistance is
                      therefore a key challenge for breeding and crop management.
                      Avoidance of water stress by effective root water uptake is
                      considered a promising approach to yield stability in water
                      limiting environments. Water uptake efficiency is the result
                      of multiple plant root traits that dynamically interact with
                      site hydrology. Root models are therefore an essential tool
                      to identify key root traits for water efficient crops in a
                      certain target cropping environment.We present a novel
                      combination of a dynamic root architecture model (RootBox)
                      with a functional model of root xylem hydraulic properties
                      and soil water flow (R-SWMS). This model integrates
                      structural and functional root traits to simulate water
                      uptake under variable hydrological conditions. Application
                      of the model is exemplified for three different maize root
                      phenotypes. We evaluate the role of root architectural and
                      functional traits to deal with water stress at the flowering
                      stage under two contrasted hydrological conditions (deep
                      water storage vs. moist upper profile layer in silt loam)
                      for a 7-day period. The phenotypes include a reference
                      phenotype (P1), one phenotype with steeper main roots (P2),
                      and one with steep main roots and with longer lateral roots
                      (P3) We showed that generally those phenotypes whose root
                      axes allocation matched with available water distribution
                      were able to transpire more. This synchronization is a
                      result of root architecture (structural root traits). The
                      temporal dynamics of water depletion on the contrary were
                      essentially determined by root hydraulic properties. We
                      showed that lower equivalent root conductance is essentially
                      related to a water saving behaviour of the plant, while high
                      root conductance contributes to a water spending type with
                      high initial transpiration that decreases quickly over
                      time.). We also showed the dramatic importance of root
                      hydraulic property distribution, and their relation to root
                      order and root age, in determining equivalent root
                      conductance and water uptake behaviour. In our simulations,
                      increasing the radial conductivity of lateral roots by a
                      factor 10 had more impact in the total transpiration than
                      having different root architecture traits. It emphasizes the
                      importance to consider not only architectural traits but
                      also hydraulic properties in defining ideotypes and to use
                      quantitative methods to build and test them.Our results
                      confirmed that functional-structural root models are
                      appropriate to better understand the role of roots in whole
                      plant adaptation to different drought scenarios and their
                      contribution to distinct drought response types. The newly
                      developed model contains all basic components to further
                      refine complex root processes such as architectural
                      plasticity, dynamic root conductance (xylem vulnerability,
                      composite radial transport) and root exudation. These
                      results could feed into cropping system models to see the
                      effect of these processes on crop yield.},
      cin          = {IBG-3},
      ddc          = {630},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {246 - Modelling and Monitoring Terrestrial Systems: Methods
                      and Technologies (POF2-246) / 255 - Terrestrial Systems:
                      From Observation to Prediction (POF3-255)},
      pid          = {G:(DE-HGF)POF2-246 / G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000340699500013},
      doi          = {10.1016/j.fcr.2014.05.009},
      url          = {https://juser.fz-juelich.de/record/171894},
}