archiDART: a R package allowing root system architecture analysis using Data Analysis of Root Tracings (DART) output files

Research output: Contributions to collected editions/worksPublished abstract in conference proceedingsResearch

Authors

  • Benjamin Delory
  • Caroline Baudson
  • Yves Brostaux
  • Loïc Pagès
  • Patrick du Jardin
  • Pierre Delaplace
In 2010, Le Bot et al presented a free and open-access software (Data Analysis of Root Tracings - DART) allowing the analysis of complex root system architectures from captured images, particularly across time series. Using this software, a user has to manually identify roots as a set of links. After vectorization of a root system, three final data sets (RAC, TPS and LIE) can be exported as table files containing several attributes for (a) each individual root (e.g. root length), (b) each observation day or (c) each point used to construct the vectorized root system respectively. These data sets can finally be used either to calculate derived root system architecture (RSA) parameters or to draw the root system architecture at selected observation dates. However when an experiment involves the analysis and comparison of many root systems, the calculation of RSA parameters for each data set and the drawing of the corresponding vectorized root systems become time-consuming. In this context, we developed a R package, called archiDART, allowing both the automatic calculation of common root architecture parameters and the X-Y plotting of vectorized root systems for selected observation dates.
Original languageEnglish
Title of host publicationBook of short abstracts, poster presentations : 19th National Symposium on Applied Biological Sciences
Number of pages1
PublisherGembloux Agro-Bio Tech
Publication date07.02.2014
Pages14
Publication statusPublished - 07.02.2014
Event19th National Symposium on Applied Biological Sciences - NSABS 2014 - Gembloux Agro-Bio Tech (Liège University) , Gembloux, Belgium
Duration: 07.02.201407.02.2014
Conference number: 19
http://www.events.gembloux.ulg.ac.be/nsabs2014/nsabs-2014/

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