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Simulating Root Growth as a Function of Soil Strength and Yield With a Field-Scale Crop Model Coupled With a 3D Architectural Root Model

Accurate prediction of root growth and related resource uptake is crucial to accurately simulate crop growth especially under unfavorable environmental conditions. We coupled a 1D field-scale crop-soil model running in the SIMPLACE modeling framework with the 3D architectural root model CRootbox on...

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Autores principales: Seidel, Sabine Julia, Gaiser, Thomas, Srivastava, Amit Kumar, Leitner, Daniel, Schmittmann, Oliver, Athmann, Miriam, Kautz, Timo, Guigue, Julien, Ewert, Frank, Schnepf, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164166/
https://www.ncbi.nlm.nih.gov/pubmed/35668793
http://dx.doi.org/10.3389/fpls.2022.865188
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author Seidel, Sabine Julia
Gaiser, Thomas
Srivastava, Amit Kumar
Leitner, Daniel
Schmittmann, Oliver
Athmann, Miriam
Kautz, Timo
Guigue, Julien
Ewert, Frank
Schnepf, Andrea
author_facet Seidel, Sabine Julia
Gaiser, Thomas
Srivastava, Amit Kumar
Leitner, Daniel
Schmittmann, Oliver
Athmann, Miriam
Kautz, Timo
Guigue, Julien
Ewert, Frank
Schnepf, Andrea
author_sort Seidel, Sabine Julia
collection PubMed
description Accurate prediction of root growth and related resource uptake is crucial to accurately simulate crop growth especially under unfavorable environmental conditions. We coupled a 1D field-scale crop-soil model running in the SIMPLACE modeling framework with the 3D architectural root model CRootbox on a daily time step and implemented a stress function to simulate root elongation as a function of soil bulk density and matric potential. The model was tested with field data collected during two growing seasons of spring barley and winter wheat on Haplic Luvisol. In that experiment, mechanical strip-wise subsoil loosening (30–60 cm) (DL treatment) was tested, and effects on root and shoot growth at the melioration strip as well as in a control treatment were evaluated. At most soil depths, strip-wise deep loosening significantly enhanced observed root length densities (RLDs) of both crops as compared to the control. However, the enhanced root growth had a beneficial effect on crop productivity only in the very dry season in 2018 for spring barley where the observed grain yield at the strip was 18% higher as compared to the control. To understand the underlying processes that led to these yield effects, we simulated spring barley and winter wheat root and shoot growth using the described field data and the model. For comparison, we simulated the scenarios with the simpler 1D conceptual root model. The coupled model showed the ability to simulate the main effects of strip-wise subsoil loosening on root and shoot growth. It was able to simulate the adaptive plasticity of roots to local soil conditions (more and thinner roots in case of dry and loose soil). Additional scenario runs with varying weather conditions were simulated to evaluate the impact of deep loosening on yield under different conditions. The scenarios revealed that higher spring barley yields in DL than in the control occurred in about 50% of the growing seasons. This effect was more pronounced for spring barley than for winter wheat. Different virtual root phenotypes were tested to assess the potential of the coupled model to simulate the effect of varying root traits under different conditions.
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spelling pubmed-91641662022-06-05 Simulating Root Growth as a Function of Soil Strength and Yield With a Field-Scale Crop Model Coupled With a 3D Architectural Root Model Seidel, Sabine Julia Gaiser, Thomas Srivastava, Amit Kumar Leitner, Daniel Schmittmann, Oliver Athmann, Miriam Kautz, Timo Guigue, Julien Ewert, Frank Schnepf, Andrea Front Plant Sci Plant Science Accurate prediction of root growth and related resource uptake is crucial to accurately simulate crop growth especially under unfavorable environmental conditions. We coupled a 1D field-scale crop-soil model running in the SIMPLACE modeling framework with the 3D architectural root model CRootbox on a daily time step and implemented a stress function to simulate root elongation as a function of soil bulk density and matric potential. The model was tested with field data collected during two growing seasons of spring barley and winter wheat on Haplic Luvisol. In that experiment, mechanical strip-wise subsoil loosening (30–60 cm) (DL treatment) was tested, and effects on root and shoot growth at the melioration strip as well as in a control treatment were evaluated. At most soil depths, strip-wise deep loosening significantly enhanced observed root length densities (RLDs) of both crops as compared to the control. However, the enhanced root growth had a beneficial effect on crop productivity only in the very dry season in 2018 for spring barley where the observed grain yield at the strip was 18% higher as compared to the control. To understand the underlying processes that led to these yield effects, we simulated spring barley and winter wheat root and shoot growth using the described field data and the model. For comparison, we simulated the scenarios with the simpler 1D conceptual root model. The coupled model showed the ability to simulate the main effects of strip-wise subsoil loosening on root and shoot growth. It was able to simulate the adaptive plasticity of roots to local soil conditions (more and thinner roots in case of dry and loose soil). Additional scenario runs with varying weather conditions were simulated to evaluate the impact of deep loosening on yield under different conditions. The scenarios revealed that higher spring barley yields in DL than in the control occurred in about 50% of the growing seasons. This effect was more pronounced for spring barley than for winter wheat. Different virtual root phenotypes were tested to assess the potential of the coupled model to simulate the effect of varying root traits under different conditions. Frontiers Media S.A. 2022-05-20 /pmc/articles/PMC9164166/ /pubmed/35668793 http://dx.doi.org/10.3389/fpls.2022.865188 Text en Copyright © 2022 Seidel, Gaiser, Srivastava, Leitner, Schmittmann, Athmann, Kautz, Guigue, Ewert and Schnepf. https://creativecommons.org/licenses/by/4.0/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.
spellingShingle Plant Science
Seidel, Sabine Julia
Gaiser, Thomas
Srivastava, Amit Kumar
Leitner, Daniel
Schmittmann, Oliver
Athmann, Miriam
Kautz, Timo
Guigue, Julien
Ewert, Frank
Schnepf, Andrea
Simulating Root Growth as a Function of Soil Strength and Yield With a Field-Scale Crop Model Coupled With a 3D Architectural Root Model
title Simulating Root Growth as a Function of Soil Strength and Yield With a Field-Scale Crop Model Coupled With a 3D Architectural Root Model
title_full Simulating Root Growth as a Function of Soil Strength and Yield With a Field-Scale Crop Model Coupled With a 3D Architectural Root Model
title_fullStr Simulating Root Growth as a Function of Soil Strength and Yield With a Field-Scale Crop Model Coupled With a 3D Architectural Root Model
title_full_unstemmed Simulating Root Growth as a Function of Soil Strength and Yield With a Field-Scale Crop Model Coupled With a 3D Architectural Root Model
title_short Simulating Root Growth as a Function of Soil Strength and Yield With a Field-Scale Crop Model Coupled With a 3D Architectural Root Model
title_sort simulating root growth as a function of soil strength and yield with a field-scale crop model coupled with a 3d architectural root model
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164166/
https://www.ncbi.nlm.nih.gov/pubmed/35668793
http://dx.doi.org/10.3389/fpls.2022.865188
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