Evaluation of Irrigation Modes for Greenhouse Drip Irrigation Tomatoes Based on AquaCrop and DSSAT Models
Author:
Ge Jiankun1, Yu Zihui1, Gong Xuewen1ORCID, Ping Yinglu2, Luo Jinyao3, Li Yanbin1
Affiliation:
1. College of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China 2. Ningbo Water Conservancy and Hydropower Planning Design Institute Co., Ltd., Ningbo 315192, China 3. College of Water Resources and Hydropower, Wuhan University, Wuhan 430072, China
Abstract
The improvement of the simulation accuracy of crop models in different greenhouse environments would be better applied to the automation management of greenhouse cultivation. Tomatoes under drip irrigation in a greenhouse were taken as the research object, and the cumulative evaporation capacity (Ep) of the 20 cm standard evaporation dish was taken as the basis for irrigation. Three treatments were set up in the experiment: high water treatment without mulch (NM-0.9 Ep), high water treatment with mulch (M-0.9 Ep), and low water treatment with mulch (M-0.5 Ep). AquaCrop and DSSAT models were used to simulate the canopy coverage, soil water content, biomass, and yield of the tomatoes. Data from 2020 were used to correct the model, and simulation results from 2021 were analyzed in this paper. The results showed that: (1) Of the two crop models, the simulation accuracy of the greenhouse tomato canopy coverage kCC was higher, and the root mean square errors were less than 6.8% (AquaCrop model) and 8.5% (DSSAT model); (2) The AquaCrop model could accurately simulate soil water change under high water treatments, while the DSSAT model was more suitable for the conditions without mulch; (3) The relative error RE of simulated and observed values for biomass B, yield Y, and water use efficiency WUE in the AquaCrop model were less than 2.0%, 2.3%, and 9.0%, respectively, while those of the DSSAT model were less than 4.7%, 7.6%, and 10.4%, respectively; (4) Considering the simulation results of each index comprehensively, the AquaCrop model was superior to the DSSAT model; subsequently, the former was used to predict 16 different water and film coating treatments (S1–S16). It was found that the greenhouse tomato yield and WUE were the highest under S7 (0.8 Ep), at 8.201 t/ha and 2.79 kg/m3, respectively.
Funder
National Natural Science Foundation of China Henan Provincial Higher Education Institutions Young Backbone Teacher Training Program Project Innovative Research Team (in Science and Technology) in University of Henan Province
Subject
Plant Science,Ecology,Ecology, Evolution, Behavior and Systematics
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