Spatial heterogeneity of soil water around single roots: use of CT‐scanning to predict fungal growth in the rhizosphere

Grose, Margaret; Gilligan, C. A.; Spencer, Donald L.; Goddard, B. V. D.

doi:10.1111/j.1469-8137.1996.tb01893.x

Cited by 30 publications

(21 citation statements)

References 38 publications

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“…These include cryo-analytical scanning electron microscopy to localise phosphorus concentrations to arbuscular mycorrhizas grown in soil and necrotrophic fungi such as Rhizoctonia within rotting roots (Refshauge et al 2006), and synchrotron-based methods to image and quantify mineralorganic complexes on and within roots (Hansel et al 2001). Computed tomography (CT) offers opportunities for noninvasive imaging of root-water-organism interactions (Grose et al 1996;Johnson et al 2004). Improvements in resolution and imaging software will allow studies in larger volumes of soil, and distinction between water, organic material, and solids in intact field soil.…”

Section: New Methodologiesmentioning

confidence: 99%

Rhizosphere biology and crop productivity—a review

2006

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Abstract. There is great potential to use the wide genotypic and agronomically induced diversity of root systems and their exuded chemicals to influence rhizosphere biology to benefit crop production. Progress in the areas of pathogens and symbionts in this regard is clear. Further progress, especially related to interactions with nonpathogenic organisms, will rely on an appreciation of the properties of rhizospheres in the field: the spatial and temporal boundaries of these rhizospheres, and the effects of structural, chemical, and physical soil heterogeneity in which the roots and associated microorganisms exist and function. We consider the rhizosphere environment within Australian cropping systems in relation to the likely success of biological interventions, and provide 3 case studies that highlight the need to characterise the rhizosphere and the microbial interactions therein to capture agronomic benefits. New techniques are available that allow direct visualisation and quantification of rhizosphere processes in field conditions. These will no doubt help develop better genetic and agronomic approaches. Future success, as with those in the past, will rely on integrating interventions related to rhizosphere biology with other management constraints of specific farming systems.

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Section: New Methodologiesmentioning

confidence: 99%

Rhizosphere biology and crop productivity—a review

2006

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“…Despite its non-destructive and non-invasive nature, X-ray CT has been used only in relatively few studies of the root system and soil interactions (Hainsworth and Aylmore 1983;Tollner et al 1987Tollner et al , 1994Grose et al 1996;Zwiggelaar et al 1997). More numerous are the investigations on the influence of earthworms on soil structure (Joschko et al 1991(Joschko et al , 1993Daniel et al 1997;Capowiez et al 1998Capowiez et al , 2000Capowiez et al , 2001Capowiez et al , 2003Je´gou et al 1998Je´gou et al , 1999Je´gou et al , 2000Je´gou et al , 2001Langmaack et al 1999Langmaack et al , 2002Francis et al 2001;Pierret et al 2002;Bastardie et al 2003).…”

Section: Characterization Of Soil Biotamentioning

confidence: 99%

“…Utilizing Eq. 5, Grose et al (1996) analysed the spatial heterogeneity of volumetric water content in regions of interest (ROIs) around growing roots of cotton (Gossypium hirsutum L.), radish (Raphanus sativus L.) and wheat (Triticum aestivum L.). Inaccuracies were noticed in the conversion of HU into volumetric water content, caused by the heterogeneity of the soil bulk density throughout the experiment, as well as by possible boundary effects.…”

Section: Plant Rootsmentioning

confidence: 99%

“…The soil heterogeneity, in connection with the root activity, is responsible for the existence of microsites with different water contents that might affect fungal growth. Computed tomography was used by Grose et al (1996) for 3D identification of favourable and unfavourable microsites for two parasitic fungi Á Gaeumannomyces graminis var. tritici and Rhizoctonia solani Á in dry and wet columns with wheat (Triticum aestivum L.) and radish (Raphanus sativus L.).…”

Section: Soil Microorganismsmentioning

confidence: 99%

See 1 more Smart Citation

Application of X-ray computed tomography to soil science: A literature review

Taina¹,

Heck²,

Elliot³

2008

Can. J. Soil. Sci.

265

128

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T. R. 2008. Application of X-ray computed tomography to soil science: A literature review. Can. J. Soil Sci. 88: 1Á20. The study of the spatial configuration of soil, in its complexity, requires an understanding of the interrelations and interactions between the diverse soil constituents, at various levels of organization. Investigations of the spatial arrangement of the mineral and organic components of soil have benefited from the development of techniques for structural analysis. X-ray computed tomography (CT) is a non-destructive and non-invasive technique that has been successfully used for three-dimensional (3D) examination of soil. Valuable information has been obtained by the application of CT for the description and quantitative measurements of soil structure elements, especially of soil pores and pore network features. In many studies, X-ray CT has been used to investigate the hydro-physical characteristics of the soil, in a functional and temporal manner. A dynamic approach has also been utilized in the evaluation of the biotic factor influence on soil. The analysis of soil solid phases, by X-ray CT, has been challenging due to the similar X-ray attenuation of different solid constituents. However, the use of multiple X-ray energy levels has facilitated the discrimination of minerals in soil. The aim of this review and synthesis is to offer a perspective on the major issues related to application of the technique, general attempted solutions and possible directions in the utilization of X-ray CT in soil research. Relevant scanning parameters, procedures for CT image reconstruction, algorithms for the quantification of soil characteristics and results are presented for each type of application.Key words: X-ray computed tomography, energy level, spatial resolution, segmentation, soil mineral and organic constituents, soil physical and hydro-physical properties, soil biota Taina, I. A., Heck, R. J. et Elliot, T. R. 2008. Application de la tomographie aux rayons X a`la science du sol : survol de la litte´rature. Can. J. Soil Sci. 88: 1Á20. Pour e´tudier la configuration spatiale du sol dans toute sa complexite´, il faut comprendre les relations et les interactions des fractions du sol a`diffe´rents niveaux d'organisation. Les recherches sur l'organisation spatiale des couches mine´rales et organiques du sol ont profite´du de´veloppement de techniques d'analyse structurale. La tomographie aux rayons X assiste´e par ordinateur (TXAO) est une technique non destructive et non invasive qu'on a applique´e avec succe`s a`l'analyse tridimensionnelle du sol. L'usage de la TXAO pour de´crire et quantifier les e´le´ments structuraux du sol, surtout les pores et les particularite´s de leurs re´seaux, a permis de glaner quelques pre´cieuses informations. Maintes e´tudes rapportent qu'on s'est servi de la TXAO pour pre´ciser les proprie´te´s hydrophysiques du sol sur le plan fonctionnel ou temporel. On a aussi recouru a`une approche dynamique pour e´valuer l'influence des facteurs biotiques sur le sol. L'analyse des p...

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“…For example, Grose et al (1996) applied clinical X-ray CT to quantify the heterogeneity in water content around wheat roots and used these data to identify regions around root systems that were more or less favourable for soilborne fungal pathogens such as Gaeumanomyces graminis var. tritici and Rhizoctonia solani.…”

Section: Brief Review Of Structural Imagingmentioning

confidence: 99%

Challenges in imaging and predictive modeling of rhizosphere processes

et al. 2016

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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.

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Spatial heterogeneity of soil water around single roots: use of CT‐scanning to predict fungal growth in the rhizosphere

Cited by 30 publications

References 38 publications

Rhizosphere biology and crop productivity—a review

Rhizosphere biology and crop productivity—a review

Application of X-ray computed tomography to soil science: A literature review

Challenges in imaging and predictive modeling of rhizosphere processes

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