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Evaluation of Protocols for Measuring Leaf Photosynthetic Properties of Field-Grown Rice

机译:田间水稻叶片光合特性测定方案的评价

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摘要

Largely due to the heterogeneity of environmental parameters and the logistical difficulty of moving photosynthetic equipment in the paddy fields,effective measurement of lowland rice photosynthesis is still a challenge.In this study,we showed that measuring detached rice leaves in the laboratory can not effectively represent the parameters measured in situ.We further described a new indoor facility,high-efficiency all-weather photosynthetic measurement system (HAPS),and the associated measurement protocol to enable whole-weather measurement of photosynthetic parameters of rice grown in the paddy fields.Using HAPS,we can conduct photosynthetic measurements with a time span much longer than that appropriate for the outdoor measurements.Comparative study shows that photosynthetic parameters obtained with the new protocol can effectively represent the parameters in the fields.There was much less standard deviation for measurements using HAPS compared to the outdoor measurements,no matter for technical replications of each recording or for biological replications of each leaf position.This new facility and protocol enables rice photosynthetic physiology studies to be less tough but more efficient,and provides a potential option for large scale studies of rice leaf photosynthesis.
机译:在很大程度上,由于环境参数的异质性以及水田移动光合设备的后勤困难,有效测量低地水稻的光合作用仍然是一个挑战。我们进一步描述了一种新的室内设施,高效的全天候光合测量系统(HAPS)以及相关的测量协议,可以对稻田中种植的水稻的光合参数进行全天候测量。 HAPS,我们可以进行光合作用的测量,其时间跨度比户外测量的时间长得多。比较研究表明,新协议获得的光合作用参数可以有效地代表野外的参数。 HAPS与室外测量相比,无论如何这种新的设施和方案使水稻光合生理研究的难度降低了,但效率更高,为水稻叶片光合作用的大规模研究提供了可能。

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  • 来源
    《水稻科学(英文版)》 |2017年第1期|1-9|共9页
  • 作者单位

    Chinese Academy of Science Key Laboratory of Computational Biology and Chinese Academy of Science-Max Planck Gesellschaft Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China;

    University of Chinese Academy of Sciences, Beijing 100049, China;

    Chinese Academy of Science Key Laboratory of Computational Biology and Chinese Academy of Science-Max Planck Gesellschaft Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China;

    Chinese Academy of Science Key Laboratory of Computational Biology and Chinese Academy of Science-Max Planck Gesellschaft Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China;

    Chinese Academy of Science Key Laboratory of Computational Biology and Chinese Academy of Science-Max Planck Gesellschaft Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China;

    University of Chinese Academy of Sciences, Beijing 100049, China;

    Chinese Academy of Science Key Laboratory of Computational Biology and Chinese Academy of Science-Max Planck Gesellschaft Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China;

    Chinese Academy of Science Key Laboratory of Computational Biology and Chinese Academy of Science-Max Planck Gesellschaft Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China;

    University of Chinese Academy of Sciences, Beijing 100049, China;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
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  • 入库时间 2022-08-19 04:05:58
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