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@ARTICLE{Meunier:840427,
author = {Meunier, F. and Couvreur, V. and Draye, X. and
Vanderborght, J. and Javaux, M.},
title = {{T}owards quantitative root hydraulic phenotyping: novel
mathematical functions to calculate plant-scale hydraulic
parameters from root system functional and structural
traits},
journal = {Journal of mathematical biology},
volume = {75},
number = {5},
issn = {1432-1416},
address = {Berlin},
publisher = {Springer},
reportid = {FZJ-2017-07944},
pages = {1133 - 1170},
year = {2017},
abstract = {Predicting root water uptake and plant transpiration is
crucial for managing plant irrigation and developing
drought-tolerant root system ideotypes (i.e. ideal root
systems). Today, three-dimensional structural functional
models exist, which allows solving the water flow equation
in the soil and in the root systems under transient
conditions and in heterogeneous soils. Yet, these models
rely on the full representation of the three-dimensional
distribution of the root hydraulic properties, which is not
always easy to access. Recently, new models able to
represent this complex system without the full knowledge of
the plant 3D hydraulic architecture and with a limited
number of parameters have been developed. However, the
estimation of the macroscopic parameters a priori still
requires a numerical model and the knowledge of the full
three-dimensional hydraulic architecture. The objective of
this study is to provide analytical mathematical models to
estimate the values of these parameters as a function of
local plant general features, like the distance between
laterals, the number of primaries or the ratio of radial to
axial root conductances. Such functions would allow one to
characterize the behaviour of a root system (as
characterized by its macroscopic parameters) directly from
averaged plant root traits, thereby opening new
possibilities for developing quantitative ideotypes, by
linking plant scale parameters to mean functional or
structural properties. With its simple form, the proposed
model offers the chance to perform sensitivity and
optimization analyses as presented in this study.},
cin = {IBG-3},
ddc = {570},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255)},
pid = {G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000409891600004},
pubmed = {pmid:28255663},
doi = {10.1007/s00285-017-1111-z},
url = {https://juser.fz-juelich.de/record/840427},
}