Crop/Plant Modeling Supports Plant Breeding II. Guidance of Functional Plant Phenotyping for Trait Discovery

doi:10.34133/plantphenomics.0091

	Crop/Plant Modeling Supports Plant Breeding II. Guidance of Functional Plant Phenotyping for Trait Discovery
	Zhang, Pengpeng1 ; Huang, Jingyao 1; Ma, Yuntao 2; Wang, Xiujuan3 ; Kang, Mengzhen3 ; Song, Youhong 1,4
发表期刊	PLANT PHENOMICS
ISSN	2643-6515
	2023-09-28
卷号	5 页码:19
通讯作者	Song, Youhong(y.song@ahau.edu.cn)
摘要	Observable 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.
DOI	10.34133/plantphenomics.0091
关键词[WOS]	ROOT-SYSTEM ARCHITECTURE ; STOMATAL CONDUCTANCE ; SPATIAL-DISTRIBUTION ; STRUCTURAL MODEL ; GROWTH MODELS ; WATER-UPTAKE ; LEAF GROWTH ; APPLE TREE ; CROP YIELD ; ADEL-MAIZE
收录类别	SCI
语种	英语
资助项目	Natural 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]
项目资助者	Natural Science Foundation of Anhui Province of China
WOS研究方向	Agriculture ; Plant Sciences ; Remote Sensing
WOS类目	Agronomy ; Plant Sciences ; Remote Sensing
WOS记录号	WOS:001123106600001
出版者	AMER ASSOC ADVANCEMENT SCIENCE
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/55061
专题	多模态人工智能系统全国重点实验室
通讯作者	Song, Youhong
作者单位	1.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
推荐引用方式 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.