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双季稻光合生产模型的建立与应用

李艳大 舒时富 陈立才 叶春 万鹏 王康军 黄俊宝

应用生态学报2017,Vol.28Issue(4):1227-1236,10.
应用生态学报2017,Vol.28Issue(4):1227-1236,10.DOI:10.13287/j.1001-9332.201704.013

双季稻光合生产模型的建立与应用

Establishment and application of photosynthetic production model for double cropping rice

李艳大 1舒时富 1陈立才 1叶春 1万鹏 1王康军 1黄俊宝1

作者信息

  • 1. 江西省农业科学院农业工程研究所,南昌330200
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摘要

Abstract

In this study,we developed a model for photosynthetic production in double cropping rice by integrating the advantages in current crop models (including the models of canopy structure,canopy light distribution,canopy photosynthesis and dry matter production).The canopy light distribution and dry matter accumulation were preliminarily validated with independent field experiment datasets.The distribution of direct radiation both on a level surface and on the leaf surface within canopy,the canopy daily photosynthate and its characteristics with varying leaf area index for three typical plant types (erect both upper and lower,upper erect and lower flat,and flat both upper and lower) were quantitatively analyzed by the model.The results indicated that there was a good agreement between the simulated and observed values.The root mean square error (RMSE),relative root mean square error (RRMSE) and correlation coefficient (r) of prediction of canopy light distribution in double cropping rice were 12.01 J · m-2 · s-1,8.2% and 0.9929,respectively.Meanwhile,the RMSE,RRMSE and r of prediction of dry matter accumulation were 0.83 t · hm-2,14.6% and 0.9772,respectively.It was indicated that the model had a performance.The upper erect and lower flat plant type had highest canopy daily photosynthate due to higher incident sun light received on the leaf surface,leaf photosynthetic efficiency and leaf area index.

关键词

双季稻/光分布/光合生产/株型/模拟模型

Key words

double cropping rice/light distribution/photosynthetic production/plant type/simulation model

引用本文复制引用

李艳大,舒时富,陈立才,叶春,万鹏,王康军,黄俊宝..双季稻光合生产模型的建立与应用[J].应用生态学报,2017,28(4):1227-1236,10.

基金项目

本文由国家自然科学基金项目(31260293)、公益性行业(农业)科研专项(201303109-4)、“万人计划”青年拔尖人才项目、国家重点研发计划项目(2016YFD0300608)、江西省科技计划项目(20161BBI90012)和江西省农业科学院科技创新及成果转化基金项目(2016CJJ001)资助 This work was supported by the National Natural Science Foundation of China (31260293),the Agro-scientific Research Program in Public Interest (2013031094),the "Ten Thousand Talent Plan" Youth Talent Program,the National Key Research and Development Program (2016YFD0300608),the Jiangxi Science and Technology Program (20161BBI90012),and the Science and Technology Innovation and Achievements Transformation Foundation for Jiangxi Academy of Agricultural Sciences (2016CJJ001). (31260293)

应用生态学报

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1001-9332

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