Quantitative descriptions of rice plant architecture and their application
Plant architecture is an important agronomic trait, and improving plant architecture has attracted the attention of scientists for decades, particularly studies to create desirable plant architecture for high grain yields through breeding and culture practices. However, many important structural phe...
| Autores principales: | , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Public Library of Science
2017
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| Acceso en línea: | https://hdl.handle.net/10568/165054 |
| _version_ | 1855538405136400384 |
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| author | Li, Xumeng Wang, Xiaohui Peng, Yulin Wei, Hailin Zhu, Xinguang Chang, Shuoqi Li, Ming Li, Tao Huang, Huang |
| author_browse | Chang, Shuoqi Huang, Huang Li, Ming Li, Tao Li, Xumeng Peng, Yulin Wang, Xiaohui Wei, Hailin Zhu, Xinguang |
| author_facet | Li, Xumeng Wang, Xiaohui Peng, Yulin Wei, Hailin Zhu, Xinguang Chang, Shuoqi Li, Ming Li, Tao Huang, Huang |
| author_sort | Li, Xumeng |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Plant architecture is an important agronomic trait, and improving plant architecture has attracted the attention of scientists for decades, particularly studies to create desirable plant architecture for high grain yields through breeding and culture practices. However, many important structural phenotypic traits still lack quantitative description and modeling on structural-functional relativity. This study defined new architecture indices (AIs) derived from the digitalized plant architecture using the virtual blade method. The influences of varieties and crop management on these indices and the influences of these indices on biomass accumulation were analyzed using field experiment data at two crop growth stages: early and late panicle initiation. The results indicated that the vertical architecture indices (LAI, PH, 90%-DRI, MDI, 90%-LI) were significantly influenced by variety, water, nitrogen management and the interaction of water and nitrogen, and compact architecture indices (H-CI, Q-CI, 90%-LI, 50%-LI) were significantly influenced by nitrogen management and the interaction of variety and water. Furthermore, there were certain trends in the influence of variety, water, and nitrogen management on AIs. Biomass accumulation has a positive linear correlation with vertical architecture indices and has a quadratic correlation with compact architecture indices, respectively. Furthermore, the combination of vertical and compact architecture indices is the indicator for evaluating the effects of plant architecture on biomass accumulation |
| format | Journal Article |
| id | CGSpace165054 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | Public Library of Science |
| publisherStr | Public Library of Science |
| record_format | dspace |
| spelling | CGSpace1650542025-01-24T14:20:37Z Quantitative descriptions of rice plant architecture and their application Li, Xumeng Wang, Xiaohui Peng, Yulin Wei, Hailin Zhu, Xinguang Chang, Shuoqi Li, Ming Li, Tao Huang, Huang Plant architecture is an important agronomic trait, and improving plant architecture has attracted the attention of scientists for decades, particularly studies to create desirable plant architecture for high grain yields through breeding and culture practices. However, many important structural phenotypic traits still lack quantitative description and modeling on structural-functional relativity. This study defined new architecture indices (AIs) derived from the digitalized plant architecture using the virtual blade method. The influences of varieties and crop management on these indices and the influences of these indices on biomass accumulation were analyzed using field experiment data at two crop growth stages: early and late panicle initiation. The results indicated that the vertical architecture indices (LAI, PH, 90%-DRI, MDI, 90%-LI) were significantly influenced by variety, water, nitrogen management and the interaction of water and nitrogen, and compact architecture indices (H-CI, Q-CI, 90%-LI, 50%-LI) were significantly influenced by nitrogen management and the interaction of variety and water. Furthermore, there were certain trends in the influence of variety, water, and nitrogen management on AIs. Biomass accumulation has a positive linear correlation with vertical architecture indices and has a quadratic correlation with compact architecture indices, respectively. Furthermore, the combination of vertical and compact architecture indices is the indicator for evaluating the effects of plant architecture on biomass accumulation 2017-05-17 2024-12-19T12:54:38Z 2024-12-19T12:54:38Z Journal Article https://hdl.handle.net/10568/165054 en Open Access Public Library of Science Li, Xumeng; Wang, Xiaohui; Peng, Yulin; Wei, Hailin; Zhu, Xinguang; Chang, Shuoqi; Li, Ming; Li, Tao and Huang, Huang. 2017. Quantitative descriptions of rice plant architecture and their application. PLoS ONE, Volume 12 no. 5 p. e0177669 |
| spellingShingle | Li, Xumeng Wang, Xiaohui Peng, Yulin Wei, Hailin Zhu, Xinguang Chang, Shuoqi Li, Ming Li, Tao Huang, Huang Quantitative descriptions of rice plant architecture and their application |
| title | Quantitative descriptions of rice plant architecture and their application |
| title_full | Quantitative descriptions of rice plant architecture and their application |
| title_fullStr | Quantitative descriptions of rice plant architecture and their application |
| title_full_unstemmed | Quantitative descriptions of rice plant architecture and their application |
| title_short | Quantitative descriptions of rice plant architecture and their application |
| title_sort | quantitative descriptions of rice plant architecture and their application |
| url | https://hdl.handle.net/10568/165054 |
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