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

被引：0

作者：

Liu X. ^{[1
,2
]}

Yin J. ^{[1
]}

Li H. ^{[3
,4
]}

Zhang M. ^{[1
]}

Li M. ^{[1
]}

机构：

[1] Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing

[2] School of Mechanical Electrification Engineering, Tarim University, Alaer

[3] Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture, China Agricultural University, Beijing

[4] Beijing Research Center for Information Technology in Agriculture, Beijing

来源：

Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery | 2017年 / 48卷

关键词：

Multiple linear regression; Photosynthetic rate; Precise regulation; Tomato;

D O I：

10.6041/j.issn.1000-1298.2017.S0.051

中图分类号：

学科分类号：

摘要：

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. © 2017, Chinese Society of Agricultural Machinery. All right reserved.

引用

页码：334 / 340

页数：6

共 22 条

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