ArticleCurrent biology : CB2017
A Statistical Description of Plant Shoot Architecture.
Article in Current biology : CB, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- DBGCN: Dual-branch Graph Convolutional Network for organ instance inference on sparsely labeled 3D plant data.Plant phenomics (Washington, D.C.) · 2026Article
- PlantEFRSegnet: A Plant Point Cloud Segmentation Network Based on Edge Point Preservation and Feature Feedback Repair.Sensors (Basel, Switzerland) · 2026Article
- MaizeField3D: A curated 3D point cloud and procedural model dataset of field-grown maize from a diversity panel.Plant phenomics (Washington, D.C.) · 2026Article
- 3D-OGT: 3D organ growth tracking with minimum segmentation.Plant phenomics (Washington, D.C.) · 2026Article
- Deep learning for three-dimensional (3D) plant phenomics.Plant phenomics (Washington, D.C.) · 2025Review
- MaGNet: A Network-Based Method for Quantitative Analysis of the Mammary Ductal Tree in Developing Female Mice.Journal of mammary gland biology and neoplasia · 2025Article
- Automatic 3D Plant Organ Instance Segmentation Method Based on PointNeXt and Quickshift+.Plant phenomics (Washington, D.C.) · 2025Article
- Automated 3D Segmentation of Plant Organs via the Plant-MAE: A Self-Supervised Learning Framework.Plant phenomics (Washington, D.C.) · 2025Article
- A dual-task segmentation network based on multi-head hierarchical attention for 3D plant point cloud.Frontiers in plant science · 2025Article
- KAN-GLNet: An enhanced PointNet++ model for canola silique segmentation and counting.PloS one · 2025Article
- A comparative study on point cloud down-sampling strategies for deep learning-based crop organ segmentation.Plant methods · 2023Article
- PSegNet: Simultaneous Semantic and Instance Segmentation for Point Clouds of Plants.Plant phenomics (Washington, D.C.) · 2022Article
- Article
- Genebank Phenomics: A Strategic Approach to Enhance Value and Utilization of Crop Germplasm.Plants (Basel, Switzerland) · 2020Review
- A Statistical Growth Property of Plant Root Architectures.Plant phenomics (Washington, D.C.) · 2020Article
- Machine Learning Approaches to Improve Three Basic Plant Phenotyping Tasks Using Three-Dimensional Point Clouds.Plant physiology · 2019Article
- Comparative proteomic analysis provides new insights into the specialization of shoots and stolons in bermudagrass (Cynodon dactylon L.).BMC genomics · 2019Article
- Network trade-offs and homeostasis in Arabidopsis shoot architectures.PLoS computational biology · 2019Article
- The plant body as a network of semi-autonomous agents: a review.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Review
- The Quantitative Genetic Control of Root Architecture in Maize.Plant & cell physiology · 2018Article
Corrections and comments
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Authors and funding
5 authors.
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Abstract
Plant architectures can be characterized statistically by their spatial density function, which specifies the probability of finding a branch at each location in the territory occupied by a plant. Using high-precision 3D scanning, we analyzed 557 plant shoot architectures, representing three species, grown across three to five environmental conditions, and through 20-30 developmental time points. We found two elegant properties in the spatial density functions of these architectures: all functions could be nearly modified in one direction without affecting the density in orthogonal directions (called "separability"), and all functions shared the same underlying shape, aside from stretching and compression (called "self-similarity"). Surprisingly, despite their striking visual diversity, we discovered that all architectures could be described as variations on a single underlying function: a Gaussian density function truncated at roughly two SDs. We also observed systematic variation in the spatial density functions across species, growth conditions, and time, which suggests functional specialization despite following the same general design form.
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Registered trials
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