CASIA OpenIR  > 多模态人工智能系统全国重点实验室
Crop/Plant Modeling Supports Plant Breeding II. Guidance of Functional Plant Phenotyping for Trait Discovery
Zhang, Pengpeng1; Huang, Jingyao1; Ma, Yuntao2; Wang, Xiujuan3; Kang, Mengzhen3; Song, Youhong1,4
Source PublicationPLANT PHENOMICS
ISSN2643-6515
2023-09-28
Volume5Pages:19
Corresponding AuthorSong, Youhong(y.song@ahau.edu.cn)
AbstractObservable morphological traits are widely employed in plant phenotyping for breeding use, which are often the external phenotypes driven by a chain of functional actions in plants. Identifying and phenotyping inherently functional traits for crop improvement toward high yields or adaptation to harsh environments remains a major challenge. Prediction of whole-plant performance in functional-structural plant models (FSPMs) is driven by plant growth algorithms based on organ scale wrapped up with micro-environments. In particular, the models are flexible for scaling down or up through specific functions at the organ nexus, allowing the prediction of crop system behaviors from the genome to the field. As such, by virtue of FSPMs, model parameters that determine organogenesis, development, biomass production, allocation, and morphogenesis from a molecular to the whole plant level can be profiled systematically and made readily available for phenotyping. FSPMs can provide rich functional traits representing biological regulatory mechanisms at various scales in a dynamic system, e.g., Rubisco carboxylation rate, mesophyll conductance, specific leaf nitrogen, radiation use efficiency, and source-sink ratio apart from morphological traits. High-throughput phenotyping such traits is also discussed, which provides an unprecedented opportunity to evolve FSPMs. This will accelerate the co-evolution of FSPMs and plant phenomics, and thus improving breeding efficiency. To expand the great promise of FSPMs in crop science, FSPMs still need more effort in multiscale, mechanistic, reproductive organ, and root system modeling. In summary, this study demonstrates that FSPMs are invaluable tools in guiding functional trait phenotyping at various scales and can thus provide abundant functional targets for phenotyping toward crop improvement.
DOI10.34133/plantphenomics.0091
WOS KeywordROOT-SYSTEM ARCHITECTURE ; STOMATAL CONDUCTANCE ; SPATIAL-DISTRIBUTION ; STRUCTURAL MODEL ; GROWTH MODELS ; WATER-UPTAKE ; LEAF GROWTH ; APPLE TREE ; CROP YIELD ; ADEL-MAIZE
Indexed BySCI
Language英语
Funding ProjectNatural Science Foundation of Anhui Province of China[2208085MC59] ; Natural Science Foundation of Anhui Province of China[2021H254] ; Natural Science Foundation of Anhui Province of China[rc312212]
Funding OrganizationNatural Science Foundation of Anhui Province of China
WOS Research AreaAgriculture ; Plant Sciences ; Remote Sensing
WOS SubjectAgronomy ; Plant Sciences ; Remote Sensing
WOS IDWOS:001123106600001
PublisherAMER ASSOC ADVANCEMENT SCIENCE
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/55061
Collection多模态人工智能系统全国重点实验室
Corresponding AuthorSong, Youhong
Affiliation1.Anhui Agr Univ, Sch Agron, Hefei 230036, Anhui, Peoples R China
2.China Agr Univ, Coll Land Sci & Technol, Beijing 100094, Peoples R China
3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
4.Univ Queensland, Ctr Crop Sci, Queensland Alliance Agr & Food Innovat, Brisbane, Qld 4350, Australia
Recommended Citation
GB/T 7714
Zhang, Pengpeng,Huang, Jingyao,Ma, Yuntao,et al. Crop/Plant Modeling Supports Plant Breeding II. Guidance of Functional Plant Phenotyping for Trait Discovery[J]. PLANT PHENOMICS,2023,5:19.
APA Zhang, Pengpeng,Huang, Jingyao,Ma, Yuntao,Wang, Xiujuan,Kang, Mengzhen,&Song, Youhong.(2023).Crop/Plant Modeling Supports Plant Breeding II. Guidance of Functional Plant Phenotyping for Trait Discovery.PLANT PHENOMICS,5,19.
MLA Zhang, Pengpeng,et al."Crop/Plant Modeling Supports Plant Breeding II. Guidance of Functional Plant Phenotyping for Trait Discovery".PLANT PHENOMICS 5(2023):19.
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