ArticleJournal of visualized experiments : JoVE2018
An Optimized Rhizobox Protocol to Visualize Root Growth and Responsiveness to Localized Nutrients.
Article in Journal of visualized experiments : JoVE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
The trial behind it
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Who cites it
9 citing papers in PubMed.
- Rapid detection and quantification of sweet potato storage roots using ground penetrating radar.Plant phenomics (Washington, D.C.) · 2026Article
- Advances in root phenotyping: high-throughput imaging, computational tools, and integrative approaches for crop improvement.Journal of experimental botany · 2026Review
- Identification of phenotypic and transcriptomic signatures underpinning maize crown root systems.Plant phenomics (Washington, D.C.) · 2025Article
- Advancing hyperspectral imaging techniques for root systems: a new pipeline for macro- and microscale image acquisition and classification.Plant methods · 2024Article
- Plant Nutrition-New Methods Based on the Lessons of History: A Review.Plants (Basel, Switzerland) · 2023Review
- A bench-top Dark-Root device built with LEGOFrontiers in plant science · 2023Article
- Succinate dehydrogenase inhibitor seed treatments positively affect the physiological condition of maize under drought stress.Frontiers in plant science · 2022Article
- Has agricultural intensification impacted maize root traits and rhizosphere interactions related to organic N acquisition?AoB PLANTS · 2020Article
- The Effect of Rhizoboxes on Plant Growth and Root: Shoot Biomass Partitioning.Frontiers in plant science · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Roots are notoriously difficult to study. Soil is both a visual and mechanical barrier, making it difficult to track roots in situ without destructive harvest or expensive equipment. We present a customizable and affordable rhizobox method that allows the non-destructive visualization of root growth over time and is particularly well-suited to studying root plasticity in response to localized resource patches. The method was validated by assessing maize genotypic variation in plasticity responses to patches containing
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Registered trials
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