Analyzing architectural diversity in maize plants using the skeleton-image-based method

Shoot architecture in maize is critical since it determines resource use, impacts wind and rain damage tolerance, and affects yield stability. Quantifying the diversity among inbred lines in heterosis breeding is essential, especially when describing germplasm resources. However, traditional geometr...

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Published inJournal of Integrative Agriculture Vol. 22; no. 12; pp. 3804 - 3809
Main Authors LIU, Min-guo, CAMPBELL, Thomas, LI, Wei, WANG, Xi-qing
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.12.2023
College of Biological Sciences,China Agricultural University,Beijing 100193,P.R.China
Center for Crop Functional Genomics and Molecular Breeding,China Agricultural University,Beijing 100193,P.R.China%Department of Biology,Northeastern Illinois University,Chicago 60625,USA
Frontier Technology Research Institute of China Agricultural University in Shenzhen,Shenzhen 518000,P.R.China
KeAi Communications Co., Ltd
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Abstract Shoot architecture in maize is critical since it determines resource use, impacts wind and rain damage tolerance, and affects yield stability. Quantifying the diversity among inbred lines in heterosis breeding is essential, especially when describing germplasm resources. However, traditional geometric description methods oversimplify shoot architecture and ignore the plant’s overall architecture, making it difficult to reflect and illustrate diversity. This study presents a new method to describe maize shoot architecture and quantifies its diversity by combining computer vision algorithms and persistent homology. Our results reveal that persistent homology can capture key characteristics of shoot architecture in maize and other details often overlooked by traditional geometric analysis. Based on this method, the morphological diversity of shoot architecture can be mined (quantified), and the main shoot architecture types can be obtained. Consequently, this method can easily describe the diversity of shoot architecture in many maize materials.
AbstractList Shoot architecture in maize is critical since it determines resource use, impacts wind and rain damage tolerance, and affects yield stability. Quantifying the diversity among inbred lines in heterosis breeding is essential, especially when describing germplasm resources. However, traditional geometric description methods oversimplify shoot architecture and ignore the plant’s overall architecture, making it difficult to reflect and illustrate diversity. This study presents a new method to describe maize shoot architecture and quantifies its diversity by combining computer vision algorithms and persistent homology. Our results reveal that persistent homology can capture key characteristics of shoot architecture in maize and other details often overlooked by traditional geometric analysis. Based on this method, the morphological diversity of shoot architecture can be mined (quantified), and the main shoot architecture types can be obtained. Consequently, this method can easily describe the diversity of shoot architecture in many maize materials.
Author LIU, Min-guo
CAMPBELL, Thomas
LI, Wei
WANG, Xi-qing
AuthorAffiliation College of Biological Sciences,China Agricultural University,Beijing 100193,P.R.China;Frontier Technology Research Institute of China Agricultural University in Shenzhen,Shenzhen 518000,P.R.China;Center for Crop Functional Genomics and Molecular Breeding,China Agricultural University,Beijing 100193,P.R.China%Department of Biology,Northeastern Illinois University,Chicago 60625,USA
AuthorAffiliation_xml – name: College of Biological Sciences,China Agricultural University,Beijing 100193,P.R.China;Frontier Technology Research Institute of China Agricultural University in Shenzhen,Shenzhen 518000,P.R.China;Center for Crop Functional Genomics and Molecular Breeding,China Agricultural University,Beijing 100193,P.R.China%Department of Biology,Northeastern Illinois University,Chicago 60625,USA
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Issue 12
Keywords maize
shoot architecture
phenotyping technology
morphological diversity
persistent homology
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College of Biological Sciences,China Agricultural University,Beijing 100193,P.R.China
Center for Crop Functional Genomics and Molecular Breeding,China Agricultural University,Beijing 100193,P.R.China%Department of Biology,Northeastern Illinois University,Chicago 60625,USA
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Snippet Shoot architecture in maize is critical since it determines resource use, impacts wind and rain damage tolerance, and affects yield stability. Quantifying the...
Shoot architecture in maize is critical since it determines resource use,impacts wind and rain damage tolerance,and affects yield stability.Quantifying the...
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SubjectTerms agriculture
computer vision
corn
germplasm
heterosis
maize
morphological diversity
persistent homology
phenotyping technology
rain damage
shoot architecture
wind
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Title Analyzing architectural diversity in maize plants using the skeleton-image-based method
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