Crop/Plant Modeling Supports Plant Breeding II. Guidance of Functional Plant Phenotyping for Trait Discovery
文献类型：期刊论文
| 作者 | Zhang, Pengpeng1 ; Huang, Jingyao1; Ma, Yuntao2; Wang, Xiujuan3; Kang, Mengzhen3; Song, Youhong1,4
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| 刊名 | PLANT PHENOMICS
 |
| 出版日期 | 2023-09-28 |
| 卷号 | 5页码:19 |
| ISSN号 | 2643-6515 |
| DOI | 10.34133/plantphenomics.0091 |
| 通讯作者 | Song, Youhong(y.song@ahau.edu.cn) |
| 英文摘要 | 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. |
| WOS关键词 | ROOT-SYSTEM ARCHITECTURE ; STOMATAL CONDUCTANCE ; SPATIAL-DISTRIBUTION ; STRUCTURAL MODEL ; GROWTH MODELS ; WATER-UPTAKE ; LEAF GROWTH ; APPLE TREE ; CROP YIELD ; ADEL-MAIZE |
| 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] |
| WOS研究方向 | Agriculture ; Plant Sciences ; Remote Sensing |
| 语种 | 英语 |
| 出版者 | AMER ASSOC ADVANCEMENT SCIENCE |
| WOS记录号 | WOS:001123106600001 |
| 资助机构 | Natural Science Foundation of Anhui Province of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/55060]  |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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