ReviewFrontiers in plant science2017
Reshaping Plant Biology: Qualitative and Quantitative Descriptors for Plant Morphology.
Review in Frontiers in plant science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- PhenoTrack3D: an automatic high-throughput phenotyping pipeline to track maize organs over time.Plant methods · 2022Article
- Analysis of qualitative and quantitative morphological traits related to yield in country bean (Heliyon · 2022Article
- High-throughput and automatic structural and developmental root phenotyping on Arabidopsis seedlings.Plant methods · 2022Article
- Towards 3D basic theories of plant forms.Communications biology · 2022Review
- Article
- Root phenotyping: important and minimum information required for root modeling in crop plants.Breeding science · 2021Article
- Exploring Seasonal and Circadian Rhythms in Structural Traits of Field Maize from LiDAR Time Series.Plant phenomics (Washington, D.C.) · 2021Article
- MuSCA: a multi-scale source-sink carbon allocation model to explore carbon allocation in plants. An application to static apple tree structures.Annals of botany · 2020Article
- Multi-dimensional machine learning approaches for fruit shape phenotyping in strawberry.GigaScience · 2020Article
- 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
- Investigation of complex canopies with a functional-structural plant model as exemplified by leaf inclination effect on the functioning of pure and mixed stands of wheat during grain filling.Annals of botany · 2019Article
- The Quantitative Genetic Control of Root Architecture in Maize.Plant & cell physiology · 2018Article
- Arabidopsis phenotyping through geometric morphometrics.GigaScience · 2018Article
- Modelling interaction dynamics between two foliar pathogens in wheat: a multi-scale approach.Annals of botany · 2018Article
- Plant architecture and foliar senescence impact the race between wheat growth and Zymoseptoria tritici epidemics.Annals of botany · 2018Article
- Editorial: Optical Approaches to Capture Plant Dynamics in Time, Space, and Across Scales.Frontiers in plant science · 2018Article
- archiDART v3.0: A new data analysis pipeline allowing the topological analysis of plant root systems.F1000Research · 2018Article
- Virtual Plants Need Water Too: Functional-Structural Root System Models in the Context of Drought Tolerance Breeding.Frontiers in plant science · 2017Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An emerging challenge in plant biology is to develop qualitative and quantitative measures to describe the appearance of plants through the integration of mathematics and biology. A major hurdle in developing these metrics is finding common terminology across fields. In this review, we define approaches for analyzing plant geometry, topology, and shape, and provide examples for how these terms have been and can be applied to plants. In leaf morphological quantifications both geometry and shape have been used to gain insight into leaf function and evolution. For the analysis of cell growth and expansion, we highlight the utility of geometric descriptors for understanding sepal and hypocotyl development. For branched structures, we describe how topology has been applied to quantify root system architecture to lend insight into root function. Lastly, we discuss the importance of using morphological descriptors in ecology to assess how communities interact, function, and respond within different environments. This review aims to provide a basic description of the mathematical principles underlying morphological quantifications.
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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.