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Model-based plant phenomics on morphological traits using morphometric descriptors
The morphological traits of plants contribute to many important functional features such as radiation interception, lodging tolerance, gas exchange efficiency, spatial competition between individuals and/or species, and disease resistance. Although the importance of plant phenotyping techniques is i...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Japanese Society of Breeding
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8987841/ https://www.ncbi.nlm.nih.gov/pubmed/36045892 http://dx.doi.org/10.1270/jsbbs.21078 |
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author | Noshita, Koji Murata, Hidekazu Kirie, Shiryu |
author_facet | Noshita, Koji Murata, Hidekazu Kirie, Shiryu |
author_sort | Noshita, Koji |
collection | PubMed |
description | The morphological traits of plants contribute to many important functional features such as radiation interception, lodging tolerance, gas exchange efficiency, spatial competition between individuals and/or species, and disease resistance. Although the importance of plant phenotyping techniques is increasing with advances in molecular breeding strategies, there are barriers to its advancement, including the gap between measured data and phenotypic values, low quantitativity, and low throughput caused by the lack of models for representing morphological traits. In this review, we introduce morphological descriptors that can be used for phenotyping plant morphological traits. Geometric morphometric approaches pave the way to a general-purpose method applicable to single units. Hierarchical structures composed of an indefinite number of multiple elements, which is often observed in plants, can be quantified in terms of their multi-scale topological characteristics using topological data analysis. Theoretical morphological models capture specific anatomical structures, if recognized. These morphological descriptors provide us with the advantages of model-based plant phenotyping, including robust quantification of limited datasets. Moreover, we discuss the future possibilities that a system of model-based measurement and model refinement would solve the lack of morphological models and the difficulties in scaling out the phenotyping processes. |
format | Online Article Text |
id | pubmed-8987841 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Japanese Society of Breeding |
record_format | MEDLINE/PubMed |
spelling | pubmed-89878412022-08-30 Model-based plant phenomics on morphological traits using morphometric descriptors Noshita, Koji Murata, Hidekazu Kirie, Shiryu Breed Sci Invited Review The morphological traits of plants contribute to many important functional features such as radiation interception, lodging tolerance, gas exchange efficiency, spatial competition between individuals and/or species, and disease resistance. Although the importance of plant phenotyping techniques is increasing with advances in molecular breeding strategies, there are barriers to its advancement, including the gap between measured data and phenotypic values, low quantitativity, and low throughput caused by the lack of models for representing morphological traits. In this review, we introduce morphological descriptors that can be used for phenotyping plant morphological traits. Geometric morphometric approaches pave the way to a general-purpose method applicable to single units. Hierarchical structures composed of an indefinite number of multiple elements, which is often observed in plants, can be quantified in terms of their multi-scale topological characteristics using topological data analysis. Theoretical morphological models capture specific anatomical structures, if recognized. These morphological descriptors provide us with the advantages of model-based plant phenotyping, including robust quantification of limited datasets. Moreover, we discuss the future possibilities that a system of model-based measurement and model refinement would solve the lack of morphological models and the difficulties in scaling out the phenotyping processes. Japanese Society of Breeding 2022-03 2022-02-17 /pmc/articles/PMC8987841/ /pubmed/36045892 http://dx.doi.org/10.1270/jsbbs.21078 Text en Copyright © 2022 by JAPANESE SOCIETY OF BREEDING https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (BY) License (CC-BY 4.0: https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Invited Review Noshita, Koji Murata, Hidekazu Kirie, Shiryu Model-based plant phenomics on morphological traits using morphometric descriptors |
title | Model-based plant phenomics on morphological traits using morphometric descriptors |
title_full | Model-based plant phenomics on morphological traits using morphometric descriptors |
title_fullStr | Model-based plant phenomics on morphological traits using morphometric descriptors |
title_full_unstemmed | Model-based plant phenomics on morphological traits using morphometric descriptors |
title_short | Model-based plant phenomics on morphological traits using morphometric descriptors |
title_sort | model-based plant phenomics on morphological traits using morphometric descriptors |
topic | Invited Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8987841/ https://www.ncbi.nlm.nih.gov/pubmed/36045892 http://dx.doi.org/10.1270/jsbbs.21078 |
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