TY - JOUR
T1 - Model-based plant phenomics on morphological traits using morphometric descriptors
AU - Noshita, Koji
AU - Murata, Hidekazu
AU - Kirie, Shiryu
N1 - Funding Information:
This work was partially supported by the Japan Science and Technology Agency ?JST) PR?STO Grants JPMJPR16O5, MIRAI Program Grant Number JPMJMI20G6, CR?ST Program Grant Number JPMJCR16O1, and Japan Society for the Promotion of Science ?JSPS) KAK?NHI Grant Number 21K14947.
Funding Information:
This work was partially supported by the Japan Science and Technology Agency (JST) PRESTO Grants JPMJPR16O5, MIRAI Program Grant Number JPMJMI20G6, CREST Program Grant Number JPMJCR16O1, and Japan Society for the Promotion of Science (JSPS) KAKENHI Grant Number 21K14947.
Publisher Copyright:
© 2022, Japanese Society of Breeding. All rights reserved.
PY - 2022
Y1 - 2022
N2 - The morphological traits of plants contribute to many important functional features such as radiation inter-ception, 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 repre-senting morphological traits. In this review, we introduce morphological descriptors that can be used for pheno-typing 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 possi-bilities 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.
AB - The morphological traits of plants contribute to many important functional features such as radiation inter-ception, 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 repre-senting morphological traits. In this review, we introduce morphological descriptors that can be used for pheno-typing 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 possi-bilities 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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U2 - 10.1270/jsbbs.21078
DO - 10.1270/jsbbs.21078
M3 - Review article
AN - SCOPUS:85126321271
SN - 1344-7610
VL - 72
SP - 19
EP - 30
JO - Breeding Science
JF - Breeding Science
IS - 1
ER -