Ara-Rhizotron: An Effective Culture System to Study Simultaneously Root and Shoot Development of Arabidopsis

Devienne-Barret, Florence; Richard‐Molard, Céline; Chelle, Michaël; Maury, Olivier; Ney, Bertrand

doi:10.1007/s11104-005-3224-1

Cited by 32 publications

(27 citation statements)

References 30 publications

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“…Experimental setups vary from glass walls installed in front of exposed soils (Rogers 1969;Taylor et al 1990), to external rhizotrons filled with soil (Wenzel et al 2001;Wright and Wright 2004;Devienne-Barret et al 2006), and to tubes inserted into the top soil (Bates 1937;Gregory 1979;Smit et al 2000). Many different methods, such as sketching, microscoping, photographing, and videotaping have been applied for the documentation of the development of the root-zone (Böhm 1979;Rutherford and Curran 1981;Rasse et al 2000;Wenzel et al 2001).…”

Section: Introductionmentioning

confidence: 99%

“…Recently, the application of flat bed scanners attached to glass walls or external rhizotrons was proven as a highquality method taking images with high resolution from rhizotrons (Pan et al 1998;Kuchenbuch and Ingram 2002). Constantly improved image analysis software allow extensive automatic evaluation of these images such as root length (Doty et al 1994;Vamerali et al 1999;Devienne-Barret et al 2006;Pietola and Smucker 2006), soil porosity (Dathe et al 2001;Bruneau et al 2004) or soil moisture (Kuchenbuch and Ingram 2002).…”

Section: Introductionmentioning

confidence: 99%

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Monitoring of root growth and redox conditions in paddy soil rhizotrons by redox electrodes and image analysis

2010

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The root-zone of wetland rice was monitored in a paddy soil throughout a vegetation period with the aid of a rhizotron experiment. For this purpose (a) digital images of the root-zone were taken daily, and (b) the redox potential was measured in situ every day. The images were processed by image analysis in order to display areas of oxidation and reduction in the soil. Therefore, thresholds were set to simplify the localization and quantification of discrete areas which were colourized due to the redox potential. Both, images and measured redox potentials, provide the basis for the visualization of the root and redox dynamics in the root-zone. The anaerobic root-zone of flooded paddy soils is significantly influenced by the aerenchymal transport of oxygen to rice roots. The release of oxygen into the rhizosphere, which causes different patterns of oxidized and reduced areas in the course of the vegetation period, also affects microbial communities such as methane producing archaea or methane oxidizing bacteria. The visualization of redox dynamics may, therefore, be useful to localize potential hotspots for the microorganisms in the root-zone of paddy soils. The reduced and oxidized conditions changed spatiotemporally. Oxidized areas were mostly found in the surrounding of active roots and in a distinct layer next to the soil surface. Reduced areas shifted from beneath the oxidized surface layer into sparsely-rooted soil. The ratio of the analyzed oxidized and reduced areas was oscillating with increasing intensity throughout the monitored vegetation period.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Monitoring of root growth and redox conditions in paddy soil rhizotrons by redox electrodes and image analysis

2010

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“…Several methods have been developed including growing plants in agar (Linkohr et al 2002), growth pouches (Bonser et al 1996), wooden or perspex boxes (Devienne- Barret et al 2006;MacMillan et al 2006b) and hydroponic systems (Drew et al 1973;Genc et al 2007). For the common bean a good correlation was found between RSA in growth pouches and plants grown in sand and soil mixtures (Liao et al 2001).…”

Section: Introductionmentioning

confidence: 99%

Genetic variation for root architecture, nutrient uptake and mycorrhizal colonisation in Medicago truncatula accessions

2010

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Sustainable agriculture strives for healthy, high yielding plants with minimal agronomic inputs. Genetic solutions to increase nutrient uptake are desirable because they provide ongoing improvements. To achieve this it is necessary to identify genes involved in uptake and translocation of nutrients. We selected Medicago truncatula L. as a model because of its: i) close genetic relationship to food legumes, ii) use as a pasture legume in southern Australia and iii) availability of mapping populations generated from genetically diverse accessions. We discovered statistically significant differences between eight accessions for: root architecture in growth pouches, % root colonisation with the arbuscular mycorrhizal (AM) fungus Glomus intraradices, and plant tissue concentration of most macro-and micronutrients. Mycorrhizal colonisation had a significant effect on P concentration in roots but not shoots, Mg concentration in both roots and shoots, and the concentration of various micronutrients in shoots including Fe, Ca, but not Zn. Comparison of micronutrient uptake between root and shoot tissues showed that some M. truncatula accessions were more efficient at mobilisation of nutrients from roots to shoots. We are now in a position to use existing mapping populations of M. truncatula to identify quantitative trait loci important for human health and sustainable agriculture.

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“…With this method, the lines code for spatial information and the colours for temporal ones. This method appears common in the international community as it represents a simple means to observe RSA (Cahn et al 1989;Cheng et al 1991;Devienne-Baret et al 2006;Iijima et al 1998).…”

Section: Typical Images and Associated Problemsmentioning

confidence: 99%

“…Furthermore, the dynamic methods of root observation are often based on 2D systems in which all or part of the root system is forced to develop on a plane. This is, for example, the case for flat containers with transparent-walls (Devienne- Baret et al 2006;Iijima et al 1998) or soil-located rhizotrons using windows or transparent tubes (for review Johnson et al 2001;Pagès and Bengough 1997;Vamerali et al 1999). The plane image emerges therefore as a convenient tool to capture and measure several parameters of root system architecture (RSA).…”

Section: Introductionmentioning

confidence: 99%

DART: a software to analyse root system architecture and development from captured images

et al. 2009

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Image analysis is used in numerous studies of root system architecture (RSA). To date, fully automatic procedures have not been good enough to completely replace alternative manual methods. DART (Data Analysis of Root Tracings) is freeware based on human vision to identify roots, particularly across time-series. Each root is described by a series of ordered links encapsulating specific information and is connected to other roots. The population of links constitutes the RSA. DART creates a comprehensive dataset ready for individual or global analyses and this can display root growth sequences along time. We exemplify here individual tomato root growth response to shortfall in solar radiation and we analyse the global distribution of the inter-root branching distances. DART helps in studying RSA and in producing structured and flexible datasets of individual root growth parameters. It is written in JAVA and relies on manual procedures to minimize the risks of errors and biases in datasets.

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Ara-Rhizotron: An Effective Culture System to Study Simultaneously Root and Shoot Development of Arabidopsis

Abstract: International audienc

Cited by 32 publications

References 30 publications

Monitoring of root growth and redox conditions in paddy soil rhizotrons by redox electrodes and image analysis

Monitoring of root growth and redox conditions in paddy soil rhizotrons by redox electrodes and image analysis

Genetic variation for root architecture, nutrient uptake and mycorrhizal colonisation in Medicago truncatula accessions

DART: a software to analyse root system architecture and development from captured images

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