Dynamics of soil water content in the rhizosphere

Carminati, Andrea; Moradi, Arash; Vetterlein, Doris; Vontobel, Peter; Lehmann, Eberhard; Weller, Ulrich; Vogel, Hans‐Jörg; Oswald, Sascha E.

doi:10.1007/s11104-010-0283-8

Cited by 330 publications

(356 citation statements)

References 39 publications

Supporting

Mentioning

336

Contrasting

Unclassified

Order By: Relevance

“…In most coarsely textured soils of their investigation, plant available water increased with organic matter content, while in finer textured soils, an increase in water content at field capacity was only found at very high organic matter levels. On a smaller scale, Carminati et al (2010Carminati et al ( , 2011 recently demonstrated a distinct organic carbon effect in the rhizosphere via mucilage increasing water availability around roots. Plant water availability, however, is not only a function of soil storage capacity but also of soil profile depth.…”

Section: Soil Subsystemmentioning

confidence: 99%

Management of crop water under drought: a review

Bodner

Nakhforoosh

Kaul

2015

Agron. Sustain. Dev.

455

234

View full text Add to dashboard Cite

Drought is a predominant cause of low yields worldwide. There is an urgent need for more water efficient cropping systems facing large water consumption of irrigated agriculture and high unproductive losses via runoff and evaporation. Identification of yield-limiting constraints in the plant-soil-atmosphere continuum are the key to improved management of plant water stress. Crop ecology provides a systematic approach for this purpose integrating soil hydrology and plant physiology into the context of crop production. We review main climate, soil and plant properties and processes that determine yield in different water-limited environments. From this analysis, management measures for cropping systems under specific drought conditions are derived. Major findings from literature analysis are as follows. (1) Unproductive water losses such as evaporation and runoff increase from continental in-season rainfall climates to storage-dependent winter rainfall climates. Highest losses occur under tropical residual moisture regimes with short intense rainy season. (2) Sites with a climatic dry season require adaptation via phenology and water saving to ensure stable yields. Intermittent droughts can be buffered via the root system, which is still largely underutilised for better stress resistance. (3) At short-term better management options such as mulching and date of seeding allow to adjust cropping systems to site constraints. Adapted cultivars can improve the synchronisation between crop water demand and soil supply. At long term, soil hydraulic and plant physiological constraints can be overcome by changing tillage systems and breeding new varieties with higher stress resistance. (4) Interactions between plant and soil, particularly in the rhizosphere, are a way towards better crop water supply. Targeted management of such plant-soil interactions is still at infancy.We conclude that understanding site-specific stress hydrology is imperative to select the most efficient measures to mitigate stress. Major progress in future can be expected from crop ecology focussing on the management of complex plant (root)-soil interactions.

show abstract

Section: Soil Subsystemmentioning

confidence: 99%

Management of crop water under drought: a review

Bodner

Nakhforoosh

Kaul

2015

Agron. Sustain. Dev.

455

234

View full text Add to dashboard Cite

show abstract

“…A major advantage of NR as well as magnetic resonance imaging is the possibility to monitor water distribution and roots simultaneously (Menon et al, 2007;Oswald et al, 2008;Moradi et al, 2009;Carminati et al, 2010;Stingaciu et al, 2013). This is especially useful as water is a crucial factor ruling root allocation in soil (Hodge, 2010).…”

mentioning

confidence: 99%

Recovering Root System Traits Using Image Analysis Exemplified by Two-Dimensional Neutron Radiography Images of Lupine

et al. 2013

Self Cite

View full text Add to dashboard Cite

Root system traits are important in view of current challenges such as sustainable crop production with reduced fertilizer input or in resource-limited environments. We present a novel approach for recovering root architectural parameters based on imageanalysis techniques. It is based on a graph representation of the segmented and skeletonized image of the root system, where individual roots are tracked in a fully automated way. Using a dynamic root architecture model for deciding whether a specific path in the graph is likely to represent a root helps to distinguish root overlaps from branches and favors the analysis of root development over a sequence of images. After the root tracking step, global traits such as topological characteristics as well as root architectural parameters are computed. Analysis of neutron radiographic root system images of lupine (Lupinus albus) grown in mesocosms filled with sandy soil results in a set of root architectural parameters. They are used to simulate the dynamic development of the root system and to compute the corresponding root length densities in the mesocosm. The graph representation of the root system provides global information about connectivity inside the graph. The underlying root growth model helps to determine which path inside the graph is most likely for a given root. This facilitates the systematic investigation of root architectural traits, in particular with respect to the parameterization of dynamic root architecture models.

show abstract

“…More recently, experiments with time-resolved neutron radiography revealed unexpected water dynamics in the rhizosphere. Carminati et al (2010) found that the rhizosphere of lupines was wetter than the bulk soil during a drying period, but that following rewetting the rhizosphere remained markedly dry. This dry region extended to 1-2 mm from the root surface.…”

Section: Structural/water Imaging Using Neutron Radiography and Tomogmentioning

confidence: 99%

“…While root system architecture has in the past been derived from a range of computational models, it is now possible to measure it in situ (i.e., in the soil) using imaging techniques such as magnetic resonance imaging (MRI), X-ray computed tomography (X-ray CT) and neutron tomography, see Carminati et al (2010); Gregory et al (2003); Koebernick et al (2014);Metzner et al (2015); Mooney et al (2012); Moradi et al (2011);Oswald et al (2008) as a good starting point for the literature. These images can be utilised to build an image-based model for water and/or nutrient uptake by the root system.…”

Section: Modelling Rhizosphere Processes: State Of the Artmentioning

confidence: 99%

“…The key scientific unknown is how these phases interact in the soil pore space and how they quantitatively and qualitatively influence soil processes such as plant nutrient and water uptake, mineralisation/mobilisation of nutrients, and feedback processes including release of substances, growth and tissue differentiation. A model of root water uptake including mucilage dynamics in the rhizosphere has been recently introduced in a series of articles by Carminati (2012);Carminati et al (2010); Ghezzehei and Albalasmeh (2015); Kroener et al (2014). In these modelling studies, the rhizosphere hydraulic properties differ from those of the bulk soil and vary over time during drying and wetting cycles.…”

Section: Modelling Rhizosphere Processes: State Of the Artmentioning

confidence: 99%

See 1 more Smart Citation

Challenges in imaging and predictive modeling of rhizosphere processes

et al. 2016

View full text Add to dashboard Cite

Background Plant-soil interaction is central to human food production and ecosystem function. Thus, it is essential to not only understand, but also to develop predictive mathematical models which can be used to assess how climate and soil management practices will affect these interactions. Scope In this paper we review the current developments in structural and chemical imaging of rhizosphere processes within the context of multiscale mathematical image based modeling. We outline areas that need more research and areas which would benefit from more detailed understanding. Conclusions We conclude that the combination of structural and chemical imaging with modeling is an incredibly powerful tool which is fundamental for understanding how plant roots interact with soil. We emphasize the need for more researchers to be attracted to this area that is so fertile for future discoveries. Finally, model building must go hand in hand with experiments. In particular, there is a real need to integrate rhizosphere structural and chemical imaging with modeling for better understanding of the rhizosphere processes leading to models which explicitly account for pore scale processes.

show abstract

Dynamics of soil water content in the rhizosphere

Cited by 330 publications

References 39 publications

Management of crop water under drought: a review

Management of crop water under drought: a review

Recovering Root System Traits Using Image Analysis Exemplified by Two-Dimensional Neutron Radiography Images of Lupine

Challenges in imaging and predictive modeling of rhizosphere processes

Contact Info

Product

Resources

About