Simultaneous phenotyping of leaf growth and chlorophyll fluorescence via GROWSCREEN FLUORO allows detection of stress tolerance in Arabidopsis thaliana and other rosette plants.

By Marcus Jansen, F. Gilmer, Bernhard Biskup, K. Nagel, Uwe Rascher, Andreas Fischbach, Sabine Briem, G. Dreissen, S. Tittmann, S. Braun and 5 more. 2009

292 citations recorded by the source corpus.

Subfields: Molecular Biology, Plant Science, Computational Biology & Bioinformatics

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Citations in the corpus

Finely-grained annotated datasets for image-based plant phenotyping (2016, methodology): “…decades several approaches have been proposed to measure visual traits of plants in an automated fashion (Granier et al., 2006; Walter et al., 2007; Jansen et al., 2009; Nagel et al., 2012) together with customized image processing pipelines to analyze aspects of the acquired image data (Au-gustin…”
Annotated Image Datasets of Rosette Plants (2014, background): “In the last decades a variety of approaches based on images have been developed to measure visual traits of plants in an automated fashion [1, 2, 3].”
Rosette Tracker: An Open Source Image Analysis Tool for Automatic Quantification of Genotype Effects1[C][W] (2012, methodology): “This can be done using camera calibration software such as ROS or CAMcal (Shu et al., 2003; Bader, 2012).”
Lights, camera, action: high-throughput plant phenotyping is ready for a close-up. (2015, background): “Specialized imaging systems measure chlorophyll fluorescence after excitation [17 ,28].”
REVIEW: PART OF A HIGHLIGHT ON BREEDING STRATEGIES FOR FORAGE AND GRASS IMPROVEMENT Advanced phenotyping offers opportunities for improved breeding of forage and turf species (2012, methodology): “…of stress that is tolerable for plants (Woo et al., 2008), to differentiate between genotypes with differing susceptibility to drought, salt or cold stress (Jansen et al., 2009; Munns et al., 2010; Lootens et al., 2011) or as a tool to differentiate disease susceptibility (Bauriegel et al., 2011).”
Next-generation phenotyping: requirements and strategies for enhancing our understanding of genotype–phenotype relationships and its relevance to crop improvement (2013, background): “…(Rengasamy 2010; Tavakkoli et al. 2010) to conveyer systems in glasshouses with digitally controlled irrigation systems (Granier et al. 2006; Jansen et al. 2009; Neumann 2013; Pereyra-Irujo et al. 2012) to the use of rainout shelters in the field (Czyczyło-Mysza et al. 2011; Dodig et al.…”
segmentation in plant phenotyping: a collation study. Machine Vision and Applications (2017, background): “While previously such phenotypes were annotated manually by experts, recently image-based nondestructive approaches are gaining attention among plant researchers to measure and study visual phenotypes of plants [24,28,41,55].”
High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms (2020, background): “Fluorescence is light that is emitted in the ultraviolet, visible, and near-infrared spectral wavelengths during radiation absorption [148].”
Dissecting the Phenotypic Components of Crop Plant Growth and Drought Responses Based on High-Throughput Image Analysis[W][OPEN] (2014, background): “…plant phenotyping platforms have been developed recently and are applied to investigate plant performance under different environments (Granier et al., 2006; Walter et al., 2007; Biskup et al., 2009; Jansen et al., 2009; Arvidsson et al., 2011; Golzarian et al., 2011; Nagel et al., 2012).”
Crop Phenomics and High-throughput Phenotyping: Past Decades, Current Challenges and Future Perspectives. (2020, methodology): “In addition, based on the linear displacement stages, the color imaging device of GROWSCREEN could be replaced with a chlorophyll fluorescence imaging system, GROWSCREEN FLUORO, which allowed the simultaneous phenotyping of leaf growth and chlorophyll fluorescence in Arabidopsis thaliana and Nicotia”
Plant phenotyping: from bean weighing to image analysis (2015, methodology): “Chlorophyll fluorescence has successfully been used in phenotyping studies in the laboratory [51-53] and in the field [54].”
GROWSCREEN-Rhizo is a novel phenotyping robot enabling simultaneous measurements of root and shoot growth for plants grown in soil-filled rhizotrons. (2012, methodology): “For screening 18 shoots of monocot or dicot plants several techniques have been implemented (Granier et al. 19 2006; Jansen et al. 2009; Rajendran et al. 2009), however, automated systems for 20 phenotyping root system architecture of plants grown in transparent soil-filled containers are 21…”
A Review of Imaging Techniques for Plant Phenotyping (2014, background): “In one example for shoot biomass in a controlled environment, the projected leaf area in plants such as Arabidopsis thaliana and maize is available through commercial systems [7,24] that are based on visible imaging.”
Field phenotyping system for the assessment of potato late blight resistance using RGB imagery from an unmanned aerial vehicle (2016, background): “Many studies of plant phenomics have developed useful diagnostic tools regarding plant information (Dhondt, Wuyts, & Inze, 2013; Golzarian et al., 2011; Granier et al., 2006; Jansen et al., 2009; Rajendran, Tester,& Roy, 2009; Walter et al., 2007).”