o be studied in well-replicated studies. The facility is an ideal platform for conducting studies at deep soil layers in the field with a capacity for generating statistically and biologically meaningful results. Data availability The raw images, training datasets, manual counts and models generated after training are available http://doi.org/10.5281/zenodo.15213661.Author contributions EH prepared the manuscript and all co-authors contributed to writing. EH trained the model for automatic root segmentation and conducted all the ingrowth-core experiments. CC installed the TDR system and conducted the experiment. AGS created the RootPainter software and provided technical advice on training
Open resource ↗zenodo · 10.5281/zenodo.15213661 · pdf-raw-page:18 lines:1-107Unverified paper record
Five seasons with DeepRootLab: A unique facility for easier deep root research in the field
22 Apr 2025 · 10.1101/2025.04.20.649645
Abstract
Summary Deep-rooted crops accessing water and nutrients from deep soil layers enhance the resource base for crop production. However, studying these roots in field conditions is labor-intensive, limiting research scope. We established a field root research facility with 48 plots for replicated experiments. The facility includes 144 six-meter-long minirhizotron tubes and an AI-based pipeline for rapid root trait analysis. We also attempted to install access-tubes and customized ingrowth-core production for less-invasive root activity determination. Our study revealed significant differences in deep root density among species, particularly at depths of 2.5 to 4.5 meters, over five years. The less invasive studies using ingrowth-cores reached depths of 4.2 meters. Nutrient tracer 15N analysis showed marked differences in deep root activity among crop species. TDR sensors indicated varying water depletion in deeper soil layers, influenced by crop species and root growth patterns. We established a field facility for studying deep root growth and function, demonstrating its effectiveness in analyzing diverse deep-rooted plant species. This facility provides an ideal platform for conducting meaningful research in deep soil layers, yielding statistically and biologically significant results for agricultural applications.
Plant phenotyping relevance
深根の形質取得を目的とした圃場施設であり、ミニライゾトロン画像とAIパイプラインによる根形質解析が中心的に記述されているため、植物フェノタイピング基盤として収録する。
abstractThe facility includes 144 six-meter-long minirhizotron tubes and an AI-based pipeline for rapid root trait analysis.
abstractWe established a field facility for studying deep root growth and function, demonstrating its effectiveness in analyzing diverse deep-rooted plant species.
Code and data availability
The paper's Data availability statement deposits the paper-specific root phenotyping assets — raw minirhizotron images, RootPainter training datasets, manual counts, and trained segmentation models — in a public Zenodo repository (DOI 10.5281/zenodo.15213661), which is listed in allowed_urls.
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