ArticleF1000Research2018
archiDART v3.0: A new data analysis pipeline allowing the topological analysis of plant root systems.
Article in F1000Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Rootstock genotype shapes whole-plant 3-D architecture and biomass allocation in field-grown grapevines.Annals of botany · 2025Article
- A Field-to-Parameter Pipeline for Analyzing and Simulating Root System Architecture of Woody Perennials: Application to Grapevine Rootstocks.Plant phenomics (Washington, D.C.) · 2024Article
- Topological data analysis expands the genotype to phenotype map for 3D maize root system architecture.Frontiers in plant science · 2023Article
- Improving quantitative synthesis to achieve generality in ecology.Nature ecology & evolution · 2022Review
- High-throughput and automatic structural and developmental root phenotyping on Arabidopsis seedlings.Plant methods · 2022Article
- Complementary Phenotyping of Maize Root System Architecture by Root Pulling Force and X-Ray Imaging.Plant phenomics (Washington, D.C.) · 2021Article
- Developmental plasticity ofPlant direct · 2021Article
- Call for Participation: Collaborative Benchmarking of Functional-Structural Root Architecture Models. The Case of Root Water Uptake.Frontiers in plant science · 2020Article
- Computer vision and machine learning enabled soybean root phenotyping pipeline.Plant methods · 2020Article
- Characterizing 3D inflorescence architecture in grapevine using X-ray imaging and advanced morphometrics: implications for understanding cluster density.Journal of experimental botany · 2019Article
- The Quantitative Genetic Control of Root Architecture in Maize.Plant & cell physiology · 2018Article
- EZ-Root-VIS: A Software Pipeline for the Rapid Analysis and Visual Reconstruction of Root System Architecture.Plant physiology · 2018Article
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Authors and funding
4 authors.
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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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.