| Path analysis of the impact of environmental factors on daily consumption of tomato of supplying nutrient solution using negative pressure in greenhouse |
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| DOI：10.7606/j.issn.1000-7601.2018.03.02 |
| Key Words: negative pressure irrigation technique environmental factors greenhouse tomato daily consumption path analysis |
| Author Name | Affiliation | | ZHANG Fang | National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China
Department of Hydraulic and Hydropower Engineering, Xi’an University of Technology, Xi’an, Shaanxi 710048, China | | ZHANG Jian-feng | Department of Hydraulic and Hydropower Engineering, Xi’an University of Technology, Xi’an, Shaanxi 710048, China | | QIAO Xiao-jun | National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China | | XUE Xu-zhang | National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China | | WANG Li-chun | National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China | | CHEN Xiao-li | National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China | | LI You-li | National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China |
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| Abstract: |
| A experiment was conducted to explore the correlations between the daily consumption of tomato of supplying nutrient solution using negative pressure in greenhouse and the related environment factors such as air relative humidity, air temperature and solar radiation intensity under different leaching time and volume with supplying nutrient solution using negative pressure with Pearson correlational analysis method, and direct and indirect actions of environmental factors on tomato daily consumption with path analysis were also analyzed. A regression model for the daily consumption of tomato of supplying nutrient solution using negative pressure in greenhouse was established. The results showed that the daily consumption of tomato had significant linear correlation (P<0.05) with environment factors, including strongest positive correlation with daily average solar radiation intensity and daily maximum solar radiation intensity, and strongest negative correlation with daily maximum relative humidity. Daily average solar radiation intensity was the main decision factor of the daily consumption of tomato with the decision coefficient 45.7%, and daily effective accumulated temperature was the main limiting factor with the decision coefficient being -459.6%. The square value of the regression coefficient between the simulated and measured tomato daily consumption was 0.965. The regression model established by using the main environment factors could better simulate the daily consumption of the daily consumption of tomato of supplying nutrient solution using negative pressure in greenhouse. |
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