基于碳同化的群体光合速率测量系统设计与试验
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国家重点研发计划项目(2020YFD1100602)、陕西省重点研发计划项目(2021ZDLNY03-02)和中央高校基础研究基金项目(2452020292)


Carbon Assimilation-based Plant Population Photosynthetic Rate Measurement System
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    摘要:

    不同植株叶位、叶龄和所处环境的导致单叶光合速率存在明显差异,使其在表征整株光合能力和物质积累效率等方面存在不足。本文以设施蔬菜为研究对象,基于透明同化箱设计基于碳同化过程的群体光合速率测量系统,系统通过高精度光辐射传感器和SCD30对同化箱内光照强度、CO2浓度、温湿度进行采集,实现了同化箱光环境的精确控制、碳同化过程测量、温湿度控制等功能。试验与LI-6800型闭路碳同化测量系统同步进行,采用线性拟合计算CO2浓度变化量进而获取群体光合速率,分析测量系统性能及不同光温条件和作物品种碳同化过程的检测精度。结果表明系统气密性和光调控精度良好,最大漏气速率为0.0473μmol/(mol·min),单次测量(6min)最大漏气量为0.2838μmol/mol,光环境调控精度平均标准差为2.71μmol/(m2·s),能够满足植株碳同化过程的检测要求。通过线性相关性分析,生菜单株/多株CO2交换量拟合R2分别为0.988、0.874,均方根误差分别为5.82、5.80μmol/mol,番茄线性拟合R2为0.952,均方根误差为3.39μmol/mol,结果表明系统测量性能与LI-6800型闭路碳同化测量系统性能接近,且在直立生长植株的检测性能更好;通过光响应曲线拟合计算,番茄和生菜在不同温度、光照条件下,系统与LI-6800型闭路碳同化测量系统光响应曲线间平均绝对误差均值分别为0.45、0.35μmol/(m2·s),拟合R2均值不小于0.95,证明系统能实现群体光响应曲线的高精度稳定测量。

    Abstract:

    Single-leaf photosynthetic rate significantly affected by leaf location, leaf aging, and environment is insufficient to characterize the photosynthetic capacity and material accumulation efficiency of the entire plant. A plant population photosynthetic rate measurement system (PPPMS) was developed based on the carbon assimilation process using a transparent assimilation box. The PPPMS collected the data on light intensity, CO2 concentration, temperature and humidity in the assimilation box using a high-precision light radiation sensor and SCD30 to achieve the accurate control of the light environment, measurement of the carbon assimilation process, temperature and humidity control and so on. The synchronous experiment was carried out with the LI-6800 closed-circuit carbon assimilation measurement system, and the population photosynthetic rate was determined using linear fitting with the CO2 changes. The performances of the PPPMS and the detection accuracy of carbon assimilation process were evaluated at various lights, temperatures and crop types. The findings revealed that the system’s air tightness and light regulation accuracy were satisfactory, with the maximum air leakage rate of 0.0473μmol/(mol·min), the maximum single air leakage (6min) of 0.2838μmol/mol. And the average standard deviation of light regulation accuracy was 2.71μmol/(m2·s), which can meet the detection of plant carbon assimilation process. In the linear correlation analysis, the R2 of CO2 exchange capacity fitting of single and multiple lettuces were 0.988 and 0.874, respectively, with the root mean square error (RMSE) of 5.82μmol/mol and 5.80μmol/mol, while the fitting R2 of tomato was 0.952, and the RMSE was 3.39μmol/mol. The results showed that the system’s measurement performance was comparable to that of LI-6800 system, and the detection performance in upright plants was superior to that of leafy vegetables. Under varied temperatures and lighting, the average mean absolute errors (MAEs) of tomato and lettuce computed by light response curves between the PPPMS and LI-6800 system were 0.45μmol/(m2·s) and 0.35μmol/(m2·s),respectively, and the mean value of fitting R2 was not less than 0.95. It was demonstrated that the method can accurately and consistently measure the plant population’s light response curve.

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张军华,陈丹艳,卢有琦,孙章彤,张海辉,胡瑾.基于碳同化的群体光合速率测量系统设计与试验[J].农业机械学报,2022,53(3):357-367. ZHANG Junhua, CHEN Danyan, LU Youqi, SUN Zhangtong, ZHANG Haihui, HU Jin. Carbon Assimilation-based Plant Population Photosynthetic Rate Measurement System[J]. Transactions of the Chinese Society for Agricultural Machinery,2022,53(3):357-367.

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  • 收稿日期:2021-12-20
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  • 在线发布日期: 2022-03-10
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