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首页> 中文期刊> 《农业科学学报（英文版）》 >Biomass-Based Rice (Oryza sativa L.) Aboveground Architectural Parameter Models

Biomass-Based Rice (Oryza sativa L.) Aboveground Architectural Parameter Models

         
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摘要

To quantify the relationships between rice plant architecture parameters and the corresponding organ biomass, and to research on functional structural plant models of rice plant, this paper presented a biomass-based model of aboveground architectural parameters of rice (Oryza sativa L.) in the young seedling stage, designed to explain effects of cultivars and environmental conditions on rice aboveground morphogenesis at the individual leaf level. Various model variables, including biomass of blade and blade length, were parameterized for rice based on data derived from an outdoor experiment with rice cv. Liangyou 108, 86You 8, Nanjing 43, and Yangdao 6. The organ dimensions of rice aboveground were modelled taking corresponding organ biomass as an independent variable. Various variables in rice showed marked consistency in observation and simulation, suggesting possibilities for a general rice architectural model in the young seedling stage. Our descriptive model was suitable for our objective. However, they can set the stage for connection to physiological model via biomass and development of functional structural rice models (FSRM), and start with the localized production and partitioning of assimilates as affected by abiotic growth factors. The finding of biomass-based rice architectural parameter models also can be used in morphological models of blade, sheath, and tiller of the other stages in rice life.

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  • 来源
    《农业科学学报（英文版）》 |2012年第10期|1621-1632|共12页
  • 作者

    CAO Hong-xin; GE Dao-kuo; WEI Xiu-fang; YAO An-qing; TIAN Ping-ping; BAO Tai-lin; LIU Yan; LIU Yong-xia; Jim Scott Hanan; YUE Yan-bin; ZHU Da-wei; LU Jian-fei; SUN Jin-ying; SHI Chun-lin;

  • 作者单位

    Engineering Research Center for Digital Agriculture/Institute of Agricultural Economics and Information, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, P.R.China;

    Engineering Research Center for Digital Agriculture/Institute of Agricultural Economics and Information, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, P.R.China;

    Engineering Research Center for Digital Agriculture/Institute of Agricultural Economics and Information, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, P.R.China;

    Agronomy College, Yangtze University, Jingzhou 434025, P.R.China;

    Agronomy College, Yangtze University, Jingzhou 434025, P.R.China;

    Agronomy College, Yangtze University, Jingzhou 434025, P.R.China;

    Engineering Research Center for Digital Agriculture/Institute of Agricultural Economics and Information, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, P.R.China;

    Engineering Research Center for Digital Agriculture/Institute of Agricultural Economics and Information, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, P.R.China;

    The University of Queensland, Centre for Biological Information Technology, Queensland 4068, Australia;

    Engineering Research Center for Digital Agriculture/Institute of Agricultural Economics and Information, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, P.R.China;

    Agronomy College, Nanjing Agricultural University, Nanjing 210095, P.R. China;

    Engineering Research Center for Digital Agriculture/Institute of Agricultural Economics and Information, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, P.R.China;

    College of Agriculture, Yangzhou University, Yangzhou 225009, P.R.China;

    Agricultural Technological Extensive Station of Luntai County, Luntai 841600, P.R.China;

    Engineering Research Center for Digital Agriculture/Institute of Agricultural Economics and Information, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, P.R.China;

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