CO2与氮肥交互作用的番茄光合速率预测模型
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国家重点研发计划项目(2016YFD0200600-2016YFD0200602、2016YFD0300600-2016YFD0300606)和北京市优秀人才培养项目(2015000020060G129)


Photosynthetic Rate Prediction Model of Tomato with CO2 and Nitrogen Fertilizer Interaction
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    摘要:

    为了实现CO2气肥和营养液氮肥含量的准确调控,建立了作物整个生长周期的光合速率预测模型。以番茄为实验对象,设置了3个CO2浓度和3个营养液含氮量的交互处理实验,使用LI-6400型便携式光合速率仪采集叶室内的环境信息和单叶净光合速率。利用多元线性回归方法建立了番茄整个生长周期的光合速率预测模型,模型的相关系数为0.885,调整后的决定系数为0.782。实验结果表明,该模型具有较高预测精度,可为温室CO2气肥浓度和营养液氮肥含量的调控提供理论依据。

    Abstract:

    CO2 is the plant’s raw material for photosynthesis. In order to realize the precise regulation of CO2 gas fertilizer under different nitrogen levels,a fitting model for the photosynthetic rate of tomato was establish throughout its growth cycle. In this paper, the experiments were conducted with 3 CO2 concentrations and 3 nutrient liquid nitrogen treatments, and the environmental information and the net photosynthetic rate of the leaf were collected by the LI-6400 portable photosynthetic rate instrument. The prediction model of photosynthetic rate in the whole tomato growth stage was established by multiple linear regression. The correlation coefficient is 0.885 and the adjusted coefficient of determination was 0.782. The experimental results show that the model has high prediction accuracy, and can be used to guide the accurate regulation of CO2 gas fertilizer under different nitrogen content.

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刘新英,殷鉴,李寒,张漫,李民赞. CO2与氮肥交互作用的番茄光合速率预测模型[J].农业机械学报,2017,48(s1):334-340.

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  • 收稿日期:2017-07-10
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  • 在线发布日期: 2017-12-10
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