基于Cropgro-Tomato模型的温室番茄生长模拟

doi:10.19640/j.cnki.jtau.2025.04.007

天津农学院学报 ›› 2025, Vol. 32 ›› Issue (4): 47-53.doi: 10.19640/j.cnki.jtau.2025.04.007

基于Cropgro-Tomato模型的温室番茄生长模拟

王义坤, 郑志伟^通信作者, 张妮, 豆静静

天津农学院水利工程学院,天津 300392

收稿日期:2024-01-25 发布日期:2025-09-02
通讯作者: 郑志伟（1981—）,男,副教授,硕士,主要从事节水灌溉理论与应用技术方面的研究。E-mail：zhiwei35883@163.com。
作者简介:王义坤（1999—）,男,硕士在读,主要从事节水灌溉理论方面的研究。E-mail：1542411710@qq.com。
基金资助:
水利部重大科技项目（SKS-2022050）;天津市科技支撑重点项目（18YFZCSF00650）;天津市人社局项目+团队重点培养专项（XB202016）

Simulation of greenhouse tomato growth based on Cropgro-Tomato model

Wang Yikun, Zheng Zhiwei^{Corresponding Author}, Zhang Ni, Dou Jingjing

College of Water Conservancy Engineering, Tianjin Agricultural University, Tianjin 300392, China

Received:2024-01-25 Published:2025-09-02

摘要/Abstract

摘要： 为优化天津地区温室番茄灌溉制度,本研究结合作物模型展开分析。首先基于2021—2022年温室番茄试验的土壤、气象及田间管理数据,采用扩展傅里叶幅度检验（EFAST）法,分析Cropgro- Tomato模型在不同灌水处理（灌水下限60%θf、70%θf、80%θf,θf为田间持水率）的输出结果对输入品种参数的敏感性。其次根据敏感性分析结果,结合2020—2022年连续两季番茄试验实测的物候期、叶面积指数、地上干物质量和鲜果产量数据,对模型进行参数校正和验证,利用验证后的模型模拟（7个不同灌水下限处理W1~W7：50%θf、55%θf、60%θf、65%θf、70%θf、75%θf、80%θf）番茄的生长及产量,并通过主成分分析法进行综合评价,得到最优灌溉方案。结果表明：Cropgro-Tomato模型的品种输入参数中,EMFL对番茄初花期天数、成熟期天数、叶面积指数、地上干物质量和鲜果产量最为敏感。模型对番茄物候期、叶面积指数、地上干物质量以及鲜果产量的模拟精度较好。模拟结果显示,W6（75%θf）处理产量最高（83.7 t/hm²）,W3处理（60%θf）溉水利用效率最优（33.55 kg/m³）。主成分分析得分方面,W5处理（70%θf）得分最高,W1处理（50%θf）得分最低。因此,综合考虑产量及灌溉水利用效率,确定温室番茄最优灌水处理的灌水下限为70%θf~75%θf。

关键词: 温室番茄, Cropgro-Tomato模型, EFAST, 全局敏感性分析, 番茄产量, 主成分分析

Abstract: To optimize the irrigation system for greenhouse tomato in Tianjin, combined with crop modeling, this study used EFAST to complete the sensitivity analysis of the model output results under different irrigation treatments（60%θf, 70%θf, 80%θf, θf: field capacity）to the model input variety parameters based on the soil, weather and field management data of greenhouse tomato in Tianjin from 2021 to 2022. Parameter correction and validation of the Cropgro-Tomato model were carried out with reference to the results of the sensitivity analysis, measured phenology, LAI, aboveground dry matter mass and yield data of tomato from 2020 to 2022. Using the validated model to simulate of the dry matter mass, yield of tomato under different irrigation treatments（W1-W7: 50%θf, 55%θf, 60%θf, 65%θf, 70%θf, 75%θf, 80%θf）, the scores were comprehensively evaluated by principal component analysis. The results showed that: the most sensitive variety parameter for anthesis days, maturity days, LAI, aboveground dry matter mass, and fresh weight yield were EMFL, and the model has high simulation accuracy for tomato phenology, LAI, aboveground dry matter mass, and yield. The yield and irrigation water use efficiency of the simulation results were maximum at W6 and W3 treatments with 83.7 t/hm² and 33.55 kg/m³, respectively; the treatment with the highest scores was W5, and the lowest one was W1. It showed that the optimal irrigation treatment is the irrigation lower limit of 70%θf-75%θf.

Key words: greenhouse tomato, cropgro-tomato model, EFAST, global sensitivity analysis, fresh fruit yield, principal component analysis

中图分类号:

S626
S641.2

王义坤, 郑志伟, 张妮, 豆静静. 基于Cropgro-Tomato模型的温室番茄生长模拟[J]. 天津农学院学报, 2025, 32(4): 47-53.

Wang Yikun, Zheng Zhiwei, Zhang Ni, Dou Jingjing. Simulation of greenhouse tomato growth based on Cropgro-Tomato model[J]. Journal of Tianjin Agricultural University, 2025, 32(4): 47-53.

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http://xuebao.tjau.edu.cn/CN/Y2025/V32/I4/47

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基于Cropgro-Tomato模型的温室番茄生长模拟

Simulation of greenhouse tomato growth based on Cropgro-Tomato model

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