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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...

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Detalles Bibliográficos
Autores principales: Noshita, Koji, Murata, Hidekazu, Kirie, Shiryu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japanese Society of Breeding 2022
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.
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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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