% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Postma:137774,
      author       = {Postma, Johannes Auke and Schurr, Ulrich and Fiorani,
                      Fabio},
      title        = {{D}ynamic root growth and architecture responses to
                      limiting nutrient availability: linking physiological models
                      and experimentation},
      journal      = {Biotechnology advances},
      volume       = {32},
      number       = {1},
      issn         = {0734-9750},
      address      = {Amsterdam},
      publisher    = {Elsevier Science Publ.},
      reportid     = {FZJ-2013-04090},
      pages        = {53–65},
      year         = {2014},
      abstract     = {In recent years the study of root phenotypic plasticity in
                      response to sub-optimal environmental factors and the
                      genetic control of these responses have received renewed
                      attention. As a path to increased productivity, in
                      particular for low fertility soils, several applied research
                      projects worldwide target the improvement of crop root
                      traits both in plant breeding and biotechnology contexts. To
                      assist these tasks and address the challenge of optimizing
                      root growth and architecture for enhanced mineral resource
                      use, the development of realistic simulation models is of
                      great importance. We review this research field from a
                      modeling perspective focusing particularly on nutrient
                      acquisition strategies for crop production on low nitrogen
                      and low phosphorous soils. Soil heterogeneity and the
                      dynamics of nutrient availability in the soil pose a
                      challenging environment in which plants have to forage
                      efficiently for nutrients in order to maintain their
                      internal nutrient homeostasis throughout their life cycle.
                      Mathematical models assist in understanding plant growth
                      strategies and associated root phenes that have potential to
                      be tested and introduced in physiological breeding programs.
                      At the same time, we stress that it is necessary to
                      carefully consider model assumptions and development from a
                      whole plant-resource allocation perspective and to introduce
                      or refine modules simulating explicitly root growth and
                      architecture dynamics through ontogeny with reference to key
                      factors that constrain root growth. In this view it is
                      important to understand negative feedbacks such as
                      plant–plant competition. We conclude by briefly touching
                      on available and developing technologies for quantitative
                      root phenotyping from lab to field, from quantification of
                      partial root profiles in the field to 3D reconstruction of
                      whole root systems. Finally, we discuss how these approaches
                      can and should be tightly linked to modeling to explore the
                      root phenome.},
      cin          = {IBG-2},
      ddc          = {570},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {242 - Sustainable Bioproduction (POF2-242)},
      pid          = {G:(DE-HGF)POF2-242},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000332051500006},
      pubmed       = {pmid:24012600},
      doi          = {10.1016/j.biotechadv.2013.08.019},
      url          = {https://juser.fz-juelich.de/record/137774},
}