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@ARTICLE{deMoraes:866425,
author = {de Moraes, Moacir Tuzzin and Debiasi, Henrique and
Franchini, Julio Cezar and Bonetti, João de Andrade and
Levien, Renato and Schnepf, Andrea and Leitner, Daniel},
title = {{M}echanical and {H}ydric {S}tress {E}ffects on {M}aize
{R}oot {S}ystem {D}evelopment at {D}ifferent {S}oil
{C}ompaction {L}evels},
journal = {Frontiers in plant science},
volume = {10},
issn = {1664-462X},
address = {Lausanne},
publisher = {Frontiers Media},
reportid = {FZJ-2019-05572},
pages = {1358},
year = {2019},
abstract = {Soil mechanical resistance, aeration, and water
availability directly affect plant root growth. The
objective of this work was to identify the contribution of
mechanical and hydric stresses on maize root elongation, by
modeling root growth while taking the dynamics of these
stresses in an Oxisol into consideration. The maize crop was
cultivated under four compaction levels (soil chiseling,
no-tillage system, areas trafficked by a tractor, and
trafficked by a harvester), and we present a new model,
which allows to distinguish between mechanical and hydric
stresses. Root length density profiles, soil bulk density,
and soil water retention curves were determined for four
compaction levels up to 50 cm in depth. Furthermore, grain
yield and shoot biomass of maize were quantified. The new
model described the mechanical and hydric stresses during
maize growth with field data for the first time in maize
crop. Simulations of root length density in 1D and 2D showed
adequate agreement with the values measured under field
conditions. Simulation makes it possible to identify the
interaction between the soil physical conditions and maize
root growth. Compared to the no-tillage system, grain yield
was reduced due to compaction caused by harvester traffic
and by soil chiseling. The root growth was reduced by the
occurrence of mechanical and hydric stresses during the crop
cycle, the principal stresses were mechanical in origin for
areas with agricultural traffic, and water based in areas
with soil chiseling. Including mechanical and hydric
stresses in root growth models can help to predict future
scenarios, and coupling soil biophysical models with
weather, soil, and crop responses will help to improve
agricultural management.},
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},
pubmed = {pmid:31736998},
UT = {WOS:000497684100001},
doi = {10.3389/fpls.2019.01358},
url = {https://juser.fz-juelich.de/record/866425},
}