Abstract

Aiming at the problem of water waste in the traditional greenhouse vegetable irrigation, economic irrigation schedule of three kinds of vegetables (tomato, cucumber and eggplant) were studied. The experiment was carried out in the North Country Spring Agricultural Demonstration Park in Wuqing District, Tianjin, from April 2018 to December 2018. Three vegetables were tested in 100% (no drought) and 50% (drought) irrigation. The water balance method was used to simulate the change of soil moisture content under greenhouse drip irrigation. The crop coefficient parameters, the temperature stress index, water stress index and dry matter conversion factor were determined using the measured data. The results show that the parameters have good applicability and can be used to describe the effects of water and temperature stress on crop growth and yield. Based on the objective of maximum economic benefit per unit area, the economic irrigation schedule of crops was determined. The analysis showed that the use of the economic irrigation schedule can save the irrigation water and increase production.

Highlights

  • The economic irrigation schedule is based on the maximum yield per unit area of the crop yield and the irrigation time

  • It can be seen from the figures that the simulated values of the soil moisture content were consistent with the measured values, and the correlation coefficient R2 is above 0.96

  • With the data of crop growth rate tested by the first round of experiments, the three parameters (σ, σ and CVF) were calibrated

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Summary

Introduction

The economic irrigation schedule is based on the maximum yield per unit area of the crop yield and the irrigation time. The use of greenhouse drip irrigation economic irrigation schedule can abandon the traditional management method of “much water and more manures”, which can reduce water resources waste, reduce production costs, and better solve the problem of excessive humidity in the greenhouse

Test Material
Research Method
Calibration Results and Analysis of Parameter a and b
Conclusion
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