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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

Sabine Julia Seidel¹, Thomas Gaiser¹, Amit Kumar Srivastava¹

¹Crop Science, Institute of Crop Science and Resource Conservation, University of Bonn, Bonn, Germany.

Frontiers in Plant Science

|June 7, 2022

Summary

Coupling crop-soil and root models accurately predicts how deep soil loosening affects crop growth and yield, especially in dry conditions. This tool helps understand root plasticity and optimize agricultural practices for better crop productivity.

Keywords:

deep loosening in silico exploration of GxExM plasticity root architecture modeling root phenotypes simulated root length density subsoil melioration

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Area of Science:

Agricultural Science
Agronomy
Soil Science

Background:

Accurate crop growth simulation is vital, particularly under stress.
Understanding root system responses to soil conditions is key for resource uptake and yield prediction.

Purpose of the Study:

To couple a 1D crop-soil model with a 3D root model (CRootbox) to simulate root growth.
To evaluate the impact of subsoil loosening on root and shoot development and crop yield.
To compare the coupled model's performance against a simpler 1D root model.

Main Methods:

Coupled a 1D field-scale crop-soil model (SIMPLACE) with the 3D architectural root model (CRootbox).
Implemented a stress function considering soil bulk density and matric potential for root elongation.
Validated the model with field data from spring barley and winter wheat experiments under subsoil loosening treatments.

Main Results:

Strip-wise subsoil loosening significantly increased root length densities for both crops.
Enhanced root growth improved crop productivity only in a dry year (2018) for spring barley.
The coupled model accurately simulated root and shoot growth responses to subsoil loosening and root plasticity.

Conclusions:

The coupled crop-soil and root model effectively simulates the impacts of subsoil loosening on crop growth and yield.
Subsoil loosening benefits crop productivity more in dry conditions and for spring barley.
The model provides a valuable tool for assessing the effects of varying root traits and environmental conditions on crop performance.