Variation and simulation of tomato transpiration in a greenhouse under different ventilation modes
Greenhouse ventilation is a critical factor in regulating internal microclimates, ensuring optimal crop growth, and improving water use efficiency in facility agriculture. However, the semi-enclosed nature of greenhouses poses challenges for accurately modeling crop water consumption, primarily due...
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| Language: | English |
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Elsevier
2025-03-01
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| Series: | Agricultural Water Management |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0378377424006176 |
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| author | Jiankun Ge Sen Wang Xuewen Gong Yuhao Zhu Zihui Yu Yanbin Li |
| author_facet | Jiankun Ge Sen Wang Xuewen Gong Yuhao Zhu Zihui Yu Yanbin Li |
| author_sort | Jiankun Ge |
| collection | DOAJ |
| description | Greenhouse ventilation is a critical factor in regulating internal microclimates, ensuring optimal crop growth, and improving water use efficiency in facility agriculture. However, the semi-enclosed nature of greenhouses poses challenges for accurately modeling crop water consumption, primarily due to uncertainties in parameter estimation for widely used models such as the Penman-Monteith (P-M) model. To address these challenges, this study refines the P-M model by incorporating resistance parameters specifically tailored to greenhouse convection regimes. Field experiments were conducted at the Xinxiang Integrated Experimental Base of the Chinese Academy of Agricultural Sciences in northern China from March to July in 2020 and 2021. Drip-irrigated tomatoes were grown under natural sunlight with two ventilation treatments: T1 (top window open) and T2 (top and south windows open). Meteorological conditions inside the greenhouse and water consumption indicators were analyzed to improve the Penman-Monteith (P-M) model’s resistance parameters (canopy resistance, rc and aerodynamic resistance, ra). Results showed that ventilation significantly influenced water consumption across growth stages, with the highest water consumption intensity observed during the fruit enlargement stage (3.39 mm d−1). rc and ra were significantly lower under T2, with forced convection dominating in both cases. The improved P-M model demonstrated high predictive accuracy, underestimating transpiration by 2.15 % for T1 and overestimating by 6.26 % for T2. These findings provide a robust framework for optimizing greenhouse ventilation strategies, enabling precise modeling of crop water consumption and enhancing resource utilization in facility agriculture. |
| format | Article |
| id | doaj-art-3b51126ca9104722a8cd113c3ec333b7 |
| institution | Kabale University |
| issn | 1873-2283 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Agricultural Water Management |
| spelling | doaj-art-3b51126ca9104722a8cd113c3ec333b72025-01-25T04:10:44ZengElsevierAgricultural Water Management1873-22832025-03-01308109281Variation and simulation of tomato transpiration in a greenhouse under different ventilation modesJiankun Ge0Sen Wang1Xuewen Gong2Yuhao Zhu3Zihui Yu4Yanbin Li5School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China; Henan Key Laboratory of Water-saving Agriculture, Zhengzhou 450045, ChinaSchool of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China; Henan Key Laboratory of Water-saving Agriculture, Zhengzhou 450045, ChinaSchool of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China; Henan Key Laboratory of Water-saving Agriculture, Zhengzhou 450045, China; Corresponding author at: School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China; Henan Key Laboratory of Water-saving Agriculture, Zhengzhou 450045, ChinaSchool of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China; Henan Key Laboratory of Water-saving Agriculture, Zhengzhou 450045, ChinaSchool of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China; Henan Key Laboratory of Water-saving Agriculture, Zhengzhou 450045, ChinaGreenhouse ventilation is a critical factor in regulating internal microclimates, ensuring optimal crop growth, and improving water use efficiency in facility agriculture. However, the semi-enclosed nature of greenhouses poses challenges for accurately modeling crop water consumption, primarily due to uncertainties in parameter estimation for widely used models such as the Penman-Monteith (P-M) model. To address these challenges, this study refines the P-M model by incorporating resistance parameters specifically tailored to greenhouse convection regimes. Field experiments were conducted at the Xinxiang Integrated Experimental Base of the Chinese Academy of Agricultural Sciences in northern China from March to July in 2020 and 2021. Drip-irrigated tomatoes were grown under natural sunlight with two ventilation treatments: T1 (top window open) and T2 (top and south windows open). Meteorological conditions inside the greenhouse and water consumption indicators were analyzed to improve the Penman-Monteith (P-M) model’s resistance parameters (canopy resistance, rc and aerodynamic resistance, ra). Results showed that ventilation significantly influenced water consumption across growth stages, with the highest water consumption intensity observed during the fruit enlargement stage (3.39 mm d−1). rc and ra were significantly lower under T2, with forced convection dominating in both cases. The improved P-M model demonstrated high predictive accuracy, underestimating transpiration by 2.15 % for T1 and overestimating by 6.26 % for T2. These findings provide a robust framework for optimizing greenhouse ventilation strategies, enabling precise modeling of crop water consumption and enhancing resource utilization in facility agriculture.http://www.sciencedirect.com/science/article/pii/S0378377424006176Ventilation regulationTranspirationResistance parameterPenman-Monteith model |
| spellingShingle | Jiankun Ge Sen Wang Xuewen Gong Yuhao Zhu Zihui Yu Yanbin Li Variation and simulation of tomato transpiration in a greenhouse under different ventilation modes Agricultural Water Management Ventilation regulation Transpiration Resistance parameter Penman-Monteith model |
| title | Variation and simulation of tomato transpiration in a greenhouse under different ventilation modes |
| title_full | Variation and simulation of tomato transpiration in a greenhouse under different ventilation modes |
| title_fullStr | Variation and simulation of tomato transpiration in a greenhouse under different ventilation modes |
| title_full_unstemmed | Variation and simulation of tomato transpiration in a greenhouse under different ventilation modes |
| title_short | Variation and simulation of tomato transpiration in a greenhouse under different ventilation modes |
| title_sort | variation and simulation of tomato transpiration in a greenhouse under different ventilation modes |
| topic | Ventilation regulation Transpiration Resistance parameter Penman-Monteith model |
| url | http://www.sciencedirect.com/science/article/pii/S0378377424006176 |
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