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@ARTICLE{Tardieu:840437,
author = {Tardieu, Francois and Draye, Xavier and Javaux, Mathieu},
title = {{R}oot {W}ater {U}ptake and {I}deotypes of the {R}oot
{S}ystem: {W}hole-{P}lant {C}ontrols {M}atter},
journal = {Vadose zone journal},
volume = {16},
number = {9},
issn = {1539-1663},
address = {Madison, Wis.},
publisher = {SSSA},
reportid = {FZJ-2017-07954},
pages = {},
year = {2017},
abstract = {Simulations of plant water uptake in soil science are based
on the interplay between soil and root properties, with an
imposed flux or water potential at the stem base. The
dialogue between roots and shoots is important in water
uptake. The threshold soil water potential for water uptake
represents the soil water potential at which stomatal
control stops transpiration over 24 h. Measurements show
that it has a large variability among species and cultivars.
Isohydric plants prevent low leaf water potentials via
stomatal control, so their threshold soil water potential is
high. Anisohydric plants allow low leaf water potentials,
resulting in lower thresholds. These behaviors have a
genetic control and can be simulated via whole-plant models.
In studied species, the hydraulic conductance in roots and
shoots depends on the whole-plant transpiration rate. In
particular, there is a “dialogue” between the daily
alternations in the transpiration rate and the circadian
oscillations in root hydraulic conductance that affect the
hydraulic conductance of the rhizosphere, with appreciable
consequences on water uptake. Root traits such as length,
branching, or depth interact with shoot traits such as leaf
area or stomatal control, thereby generating feedbacks. As a
consequence, optimum root systems for water uptake at a
given time are not always those associated with the best
yields. Models that take these whole-plant results into
account bring an extra level of complication but are
probably indispensable whenever the aim is to optimize root
traits in view of improved drought tolerance.},
cin = {IBG-3},
ddc = {550},
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:000413428800005},
doi = {10.2136/vzj2017.05.0107},
url = {https://juser.fz-juelich.de/record/840437},
}