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      Mechanical and Hydric Stress Effects on Maize Root System Development at Different Soil Compaction Levels

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          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.

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          Maximum rooting depth of vegetation types at the global scale

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            Root elongation, water stress, and mechanical impedance: a review of limiting stresses and beneficial root tip traits.

            Root elongation in drying soil is generally limited by a combination of mechanical impedance and water stress. Relationships between root elongation rate, water stress (matric potential), and mechanical impedance (penetration resistance) are reviewed, detailing the interactions between these closely related stresses. Root elongation is typically halved in repacked soils with penetrometer resistances >0.8-2 MPa, in the absence of water stress. Root elongation is halved by matric potentials drier than about -0.5 MPa in the absence of mechanical impedance. The likelihood of each stress limiting root elongation is discussed in relation to the soil strength characteristics of arable soils. A survey of 19 soils, with textures ranging from loamy sand to silty clay loam, found that ∼10% of penetration resistances were >2 MPa at a matric potential of -10 kPa, rising to nearly 50% >2 MPa at - 200 kPa. This suggests that mechanical impedance is often a major limitation to root elongation in these soils even under moderately wet conditions, and is important to consider in breeding programmes for drought-resistant crops. Root tip traits that may improve root penetration are considered with respect to overcoming the external (soil) and internal (cell wall) pressures resisting elongation. The potential role of root hairs in mechanically anchoring root tips is considered theoretically, and is judged particularly relevant to roots growing in biopores or from a loose seed bed into a compacted layer of soil.
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              A refined index of model performance

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                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                29 October 2019
                2019
                : 10
                : 1358
                Affiliations
                [1] 1Department of Agronomic Science, Federal University of Technology-Paraná campus Francisco Beltrão , Francisco Beltrão, Brazil
                [2] 2Department of Soil and Crop Management , Embrapa Soybean, Londrina, Brazil
                [3] 3Department of Agronomy, State University of Maringa , Maringa, Brazil
                [4] 4Department of Soil Science, Federal University of Rio Grande do Sul , Porto Alegre, Brazil
                [5] 5Forschungszentrum Juelich GmbH, Institute of Bio- and Geosciences, IBG-3: Agrosphere , Juelich, Germany
                [6] 6Services in Computational Science, Simulationswerkstatt , Leonding, Austria
                Author notes

                Edited by: Gernot Bodner, University of Natural Resources and Life Sciences Vienna, Austria

                Reviewed by: Thomas Keller, Swedish University of Agricultural Sciences, Sweden; Catharina Meinen, University of Göttingen, Germany

                *Correspondence: Andrea Schnepf, a.schnepf@ 123456fz-juelich.de

                This article was submitted to Functional Plant Ecology, a section of the journal Frontiers in Plant Science

                Article
                10.3389/fpls.2019.01358
                6833975
                30740117
                ae759a82-8ac3-4ed4-97de-87187af0c817
                Copyright © 2019 Moraes, Debiasi, Franchini, Bonetti, Levien, Schnepf and Leitner

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 19 December 2018
                : 02 October 2019
                Page count
                Figures: 12, Tables: 3, Equations: 5, References: 61, Pages: 18, Words: 9160
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                root growth modeling,drought stress,soil strength,soil physical limitation,zea mays

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