ArticlePlant physiology2016
Quantitative 3D Analysis of Plant Roots Growing in Soil Using Magnetic Resonance Imaging.
Article in Plant physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
104 citing papers in PubMed, 267 citations in OpenAlex.
- Advances in root phenotyping: high-throughput imaging, computational tools, and integrative approaches for crop improvement.Journal of experimental botany · 2026Review
- Observing the invisible: X-ray CT for plant-microbe interactions.The New phytologist · 2026Review
- Atlas-based spatiotemporal MRI phenotyping of 3D fungal spread in grapevine wood.Plant phenomics (Washington, D.C.) · 2026Article
- GrowScreen-Rhizo 3 - automated large-scale high throughput greenhouse phenotyping of plant root and shoot development.Plant phenomics (Washington, D.C.) · 2026Article
- Root system architecture and drought adaptation: emerging tools and genetic insights.Frontiers in plant science · 2026Review
- Root growth and function in New Zealand pasture systems: a perspective on research needs, methods, and system integration.Frontiers in plant science · 2026Article
- Multi-scale lodging in rice and wheat: bridging biomechanical traits, phenotypic detection, and intelligent harvesting systems.Frontiers in plant science · 2026Review
- Characterizing Root Morphology, Water and Nitrogen Uptake of Fibrous-Root and Taproot Crops Under Transparent Soil.Plants (Basel, Switzerland) · 2025Article
- VRoot: A VR-Based application for manual root system architecture reconstruction.Plant phenomics (Washington, D.C.) · 2025Article
- Syndrome "basses richesses" disease induced structural deformations and sectorial distribution of photoassimilates in sugar beet taproot revealed by combined MRI-PET imaging.Plant phenomics (Washington, D.C.) · 2025Article
- RPT: An integrated root phenotyping toolbox for segmenting and quantifying root system architecture.Plant biotechnology journal · 2025Article
- Toward an Automated System for Nondestructive Estimation of Plant Biomass.Plant direct · 2025Article
- High-throughput phenotyping of wheat root angle and coleoptile length at different temperatures using 3D-printed equipment.BMC plant biology · 2025Article
- Current methods and future needs for visible and non-visible detection of plant stress responses.Frontiers in plant science · 2025Review
- Anatomical limitations in adventitious root formation revealed by magnetic resonance imaging, infrared spectroscopy, and histology of rose genotypes with contrasting rooting phenotypes.Journal of experimental botany · 2024Article
- Super-Transparent Soil for In Situ Observation of Root Phenotypes.Molecules (Basel, Switzerland) · 2024Article
- Convolutional neural networks combined with conventional filtering to semantically segment plant roots in rapidly scanned X-ray computed tomography volumes with high noise levels.Plant methods · 2024Article
- Non-destructive real-time monitoring of underground root development with distributed fiber optic sensing.Plant methods · 2024Article
- Non-invasive assessment and visualization of Phytophthora cactorum infection in strawberry crowns using quantitative magnetic resonance imaging.Scientific reports · 2024Article
- Understanding the impacts of drought on peanutsFrontiers in genetics · 2024Review
44 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precise measurements of root system architecture traits are an important requirement for plant phenotyping. Most of the current methods for analyzing root growth require either artificial growing conditions (e.g. hydroponics), are severely restricted in the fraction of roots detectable (e.g. rhizotrons), or are destructive (e.g. soil coring). On the other hand, modalities such as magnetic resonance imaging (MRI) are noninvasive and allow high-quality three-dimensional imaging of roots in soil. Here, we present a plant root imaging and analysis pipeline using MRI together with an advanced image visualization and analysis software toolbox named NMRooting. Pots up to 117 mm in diameter and 800 mm in height can be measured with the 4.7 T MRI instrument used here. For 1.5 l pots (81 mm diameter, 300 mm high), a fully automated system was developed enabling measurement of up to 18 pots per day. The most important root traits that can be nondestructively monitored over time are root mass, length, diameter, tip number, and growth angles (in two-dimensional polar coordinates) and spatial distribution. Various validation measurements for these traits were performed, showing that roots down to a diameter range between 200 μm and 300 μm can be quantitatively measured. Root fresh weight correlates linearly with root mass determined by MRI. We demonstrate the capabilities of MRI and the dedicated imaging pipeline in experimental series performed on soil-grown maize (Zea mays) and barley (Hordeum vulgare) plants.
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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.