A new model for root growth in soil with macropores

Landl, Magdalena; Huber, Katrin; Schnepf, Andrea; Vanderborght, Jan; Javaux, Mathieu; Bengough, A. Glyn; Vereecken, Harry

doi:10.1007/s11104-016-3144-2

Cited by 40 publications

(29 citation statements)

References 51 publications

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“…This could have remarkable effects on overall plant growth as it will influence the capacity of roots to access deep and disperse water and nutrient resources in soil. In structured soils roots prefer to follow pathways of least resistance (Landl et al 2017), with evidence of attraction of roots towards macropores where mechanical impedance will be much smaller (Colombi et al 2017). However, macropore networks are discontinuous so roots need to penetrate bulk soil to reach them.…”

Section: Discussionmentioning

confidence: 99%

Plant exudates improve the mechanical conditions for root penetration through compacted soils

et al. 2017

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Background and aim Plant exudates greatly affect the physical behaviour of soil, but measurements of the impact of exudates on compression characteristics are missing. Our aim is to provide these data and explore how plant exudates may enhance the restructuring of compacted soils following cycles of wetting and drying. Methods Two soils were amended with Chia (Salvia hispanica) seed exudate at 5 concentrations, compacted in cores to 200 kPa stress (equivalent to tractor stress), equilibrated to −50 kPa matric potential, and then compacted to 600 kPa (equivalent to axial root stress) followed by 3 cycles of wetting and drying and recompression to 600 kPa at −50 kPa matric potential. Penetration resistance (PR), compression index (C C ) and pore characteristics were measured at various steps.

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Section: Discussionmentioning

confidence: 99%

Plant exudates improve the mechanical conditions for root penetration through compacted soils

et al. 2017

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“…() with the modifications of Landl et al. (). The growth and development of roots are accomplished through distribution of allocated daily root biomass for the establishment of a 3D RSA.…”

Section: Methodsmentioning

confidence: 99%

“…The number of root orders is crop specific. For this study on spring wheat, we defined roots up to the third order and prescribed crop‐specific values for the major root system architecture parameters (Table ) based on those reported in the literature (Bingham & Wu, ; Landl et al., ; Porter & Gawith, ; Somma et al., ).…”

Section: Methodsmentioning

confidence: 99%

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Including root architecture in a crop model improves predictions of spring wheat grain yield and above‐ground biomass under water limitations

Mboh

Srivastava

Gaiser

et al. 2018

J Agronomy Crop Science

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Although the root length density (RLD) of crops depends on their root system architecture (RSA), the root growth modules of many 1D field crop models often ignored the RSA in the simulation of the RLD. In this study, two model set‐up scenarios were used to simulate the RLD, above‐ground biomass (AGB) and grain yield (GY) of water‐stressed spring wheat in Germany, aiming to investigate the impact of improved RLD on AGB and GY predictions. In scenario 1, SlimRoot, a root growth sub‐model that does not consider the RSA of the crop, was coupled to a Lintul5‐SlimNitrogen‐SoilCN‐Hillflow1D crop model combination. In scenario 2, SlimRoot was replaced with the Somma sub‐model which considered the RSA for simulating RLD. The simulated RLD, AGB and GY were compared with observations. Scenario 2 predicted the RLD, AGB and GY with an average root mean square error (RMSE) of 0.43 cm/cm3, 0.59 t/ha and 1.03 t/ha, respectively, against 1.03 cm/cm3, 1.20 t/ha and 2.64 t/ha for scenario 1. The lower RMSE under scenario 2 shows that, even under water‐stress conditions, predictions of GY and AGB can be improved by considering the RSA of the crop for simulating the RLD.

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“…Such analyses were for instance carried out at the plant level [41,119,127,128] or the population level [129,130] . Such models may incorporate multiple soil characteristics such as macropores [131] , solute convectiondispersion [132] or specific rhizosphere properties [133,134] . For an extensive review of existing soil models, we refer the reader to Vereecken et al [135] .…”

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Connecting the dots between computational tools to analyse soil-root water relations

Passot

Couvreur

Meunier

et al. 2018

Preprint

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In the recent years, many computational tools, such as image analysis, data management, processbased simulation and upscaling tools, were developed to help quantify and understand water flow in the soilroot system, at multiple scales (tissue, organ, plant and population). Several of these tools work together or, at least, are compatible. However, for the uninformed researcher, they might seem disconnected, forming a unclear and disorganised succession of tools.In this article, we present how different pieces of work can be further developed by connecting them to analyse soilrootwater relations in a comprehensive and structured network. This "explicit network of soilroot computational tools" informs the reader about existing tools and help them understand how their data (past and future) might fit within the network. We also demonstrate the novel possibilities of scaleconsistent parameterizations made possible by the network with a set of case studies from the literature. Finally, we discuss existing gaps in the network and how we can move forward to fill them.. CC-BY 4.0 International license It is made available under a was not peer-reviewed) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.The copyright holder for this preprint (which . http://dx.doi.org/10.1101/312918 doi: bioRxiv preprint first posted online May. 9, 2018; Passot, Couvreur, Meunier et al. 2018 Tools for the analysis of water relations Preprint HighlightsMany computational tools exist to quantify water flow in the soilroot system. These tools can be arranged in a comprehensive network that can be leveraged to better interpret experimental data. KeywordsComputational tools, image analysis, simulation, network, root, soil, water was not peer-reviewed) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.The copyright holder for this preprint (which . http://dx.doi.org/10.1101/312918 doi: bioRxiv preprint first posted online May. 9, 2018; Passot, Couvreur, Meunier et al. 2018 Tools for the analysis of water relations Preprint Glossary TermDefinition Reference Standard Uptake FractionRelative distribution of root water uptake between root segments when water is equally available in space (units: %)[1]High pressure flow meter Device designed to measure the root system conductance by perfusing pressurized water into a root system opposite from the natural direction of the transpiration stream[2]Root pressure probe Device designed to measure the hydraulic conductance of a single root through variations of water pressure and flow at the cut end of a root [3] Cell pressure probe Device designed to measure the hydraulic conductivity of the membranes of a single plant cell by observing the relaxation time of water pressure pulses applied to the cell Upscaled property System property that is an output of the model, at a higher scale than the input parameters. For instance, the root radial conductivity is an upscaled property of models of root organ water f...

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A new model for root growth in soil with macropores

Cited by 40 publications

References 51 publications

Plant exudates improve the mechanical conditions for root penetration through compacted soils

Plant exudates improve the mechanical conditions for root penetration through compacted soils

Including root architecture in a crop model improves predictions of spring wheat grain yield and above‐ground biomass under water limitations

Connecting the dots between computational tools to analyse soil-root water relations

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