archiDART v3.0: A new data analysis pipeline allowing the topological analysis of plant root systems

Benjamin M. Delory, Mao Li, Christopher N. Topp, Guillaume Lobet

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Quantifying plant morphology is a very challenging task that requires methods able to capture the geometry and topology of plant organs at various spatial scales. Recently, the use of persistent homology as a mathematical framework to quantify plant morphology has been successfully demonstrated for leaves, shoots, and root systems. In this paper, we present a new data analysis pipeline implemented in the R package archiDART to analyse root system architectures using persistent homology. In addition, we also show that both geometric and topological descriptors are necessary to accurately compare root systems and assess their natural complexity.

Original languageEnglish
Article number22
JournalF1000Research
Volume7
DOIs
StatePublished - 2018

Keywords

  • ArchiDART
  • Data Analysis of Root Tracings (DART)
  • Fitter indices
  • Persistent homology
  • Plant root systems
  • Root System Markup Language (RSML)
  • Topology

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