Quantitative descriptions of rice plant architecture and their application

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dc.creatorLi, Xumeng
dc.creatorWang, Xiaohui
dc.creatorPeng, Yulin
dc.creatorWei, Hailin
dc.creatorZhu, Xinguang
dc.creatorChang, Shuoqi
dc.creatorLi, Ming
dc.creatorLi, Tao
dc.creatorHuang, Huang
dc.date2017-05-17
dc.date2024-12-19T12:54:38Z
dc.date2024-12-19T12:54:38Z
dc.date.accessioned2026-06-27T04:14:43Z
dc.descriptionPlant 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
dc.identifierhttps://hdl.handle.net/10568/165054
dc.identifier.urihttp://hdl.handle.net/123456789/26379
dc.languageen
dc.publisherPublic Library of Science
dc.rightsOpen Access
dc.sourceLi, 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
dc.titleQuantitative descriptions of rice plant architecture and their application
dc.typeJournal Article

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Instituto Internacional de Investigación del Arroz (IRRI)