Simulating rhizodeposition patterns around growing and exuding root systems. Issue 2 (27th September 2021)

• Record Type: Journal Article
• Authors: Landl, Magdalena; Haupenthal, Adrian; Leitner, Daniel; Kroener, Eva; Vetterlein, Doris; Bol, Roland; Vereecken, Harry; Vanderborght, Jan; Schnepf, Andrea
• Editors: Evers, Jochem; Long, Stephen P
• Is Part Of: In silico plants. Volume 3: Issue 2(2021)
• Publication Date: 2021-09-27
• Subjects: citrate -- mucilage -- rhizodeposition model -- root architecture model; Plant physiology -- Periodicals; Botany -- Periodicals; Botany -- Mathematical models -- Periodicals; Crop science -- Periodicals; 580
• DOI: 10.1093/insilicoplants/diab028
• Languages: English
• ISSNs: 2517-5025

Abstract

Abstract: In this study, we developed a novel model approach to compute the spatio-temporal distribution patterns of rhizodeposits around growing root systems in three dimensions. This model approach allows us to study the evolution of rhizodeposition patterns around complex three-dimensional root systems. Root systems were generated using the root architecture model CPlantBox. The concentration of rhizodeposits at a given location in the soil domain was computed analytically. To simulate the spread of rhizodeposits in the soil, we considered rhizodeposit release from the roots, rhizodeposit diffusion into the soil, rhizodeposit sorption to soil particles and rhizodeposit degradation by microorganisms. To demonstrate the capabilities of our new model approach, we performed simulations for the two example rhizodeposits mucilage and citrate and the example root system Vicia faba . The rhizodeposition model was parameterized using values from the literature. Our simulations showed that the rhizosphere soil volume with rhizodeposit concentrations above a defined threshold value (i.e. the rhizodeposit hotspot volume) exhibited a maximum at intermediate root growth rates. Root branching allowed the rhizospheres of individual roots to overlap, resulting in a greater volume of rhizodeposit hotspots. This was particularly important in the case of citrate, where overlap of rhizodeposition zones accounted for more than half of the total rhizodeposit hotspot volumes. Coupling a root architecture model with a rhizodeposition model allowed us to get a better understanding of the influence of root architecture as well as rhizodeposit properties on the evolution of the spatio-temporal distribution patterns of rhizodeposits around growing root systems.