Evaluation of Irrigation Modes for Greenhouse Drip Irrigation Tomatoes Based on AquaCrop and DSSAT Models

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 (&l...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Jiankun Ge [verfasserIn] Zihui Yu [verfasserIn] Xuewen Gong [verfasserIn] Yinglu Ping [verfasserIn] Jinyao Luo [verfasserIn] Yanbin Li [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	solar greenhouse tomato AquaCrop model DSSAT model drip irrigation plastic mulching

Übergeordnetes Werk:	In: Plants - MDPI AG, 2013, 12(2023), 22, p 3863
Übergeordnetes Werk:	volume:12 ; year:2023 ; number:22, p 3863

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/plants12223863

Katalog-ID:	DOAJ101198221

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520			\|a 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 (<i<Ep</i<) 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 <i<Ep</i<), high water treatment with mulch (M-0.9 <i<Ep</i<), and low water treatment with mulch (M-0.5 <i<Ep</i<). 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 <i<k<sub<CC</sub<</i< 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 <i<Ep</i<), at 8.201 t/ha and 2.79 kg/m<sup<3</sup<, respectively.
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allfields	10.3390/plants12223863 doi (DE-627)DOAJ101198221 (DE-599)DOAJ1335988af3da4ec3a62227cc911c6281 DE-627 ger DE-627 rakwb eng QK1-989 Jiankun Ge verfasserin aut Evaluation of Irrigation Modes for Greenhouse Drip Irrigation Tomatoes Based on AquaCrop and DSSAT Models 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 (<i<Ep</i<) 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 <i<Ep</i<), high water treatment with mulch (M-0.9 <i<Ep</i<), and low water treatment with mulch (M-0.5 <i<Ep</i<). 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 <i<k<sub<CC</sub<</i< 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 <i<Ep</i<), at 8.201 t/ha and 2.79 kg/m<sup<3</sup<, respectively. solar greenhouse tomato AquaCrop model DSSAT model drip irrigation plastic mulching Botany Zihui Yu verfasserin aut Xuewen Gong verfasserin aut Yinglu Ping verfasserin aut Jinyao Luo verfasserin aut Yanbin Li verfasserin aut In Plants MDPI AG, 2013 12(2023), 22, p 3863 (DE-627)737288345 (DE-600)2704341-1 22237747 nnns volume:12 year:2023 number:22, p 3863 https://doi.org/10.3390/plants12223863 kostenfrei https://doaj.org/article/1335988af3da4ec3a62227cc911c6281 kostenfrei https://www.mdpi.com/2223-7747/12/22/3863 kostenfrei https://doaj.org/toc/2223-7747 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2023 22, p 3863
spelling	10.3390/plants12223863 doi (DE-627)DOAJ101198221 (DE-599)DOAJ1335988af3da4ec3a62227cc911c6281 DE-627 ger DE-627 rakwb eng QK1-989 Jiankun Ge verfasserin aut Evaluation of Irrigation Modes for Greenhouse Drip Irrigation Tomatoes Based on AquaCrop and DSSAT Models 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 (<i<Ep</i<) 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 <i<Ep</i<), high water treatment with mulch (M-0.9 <i<Ep</i<), and low water treatment with mulch (M-0.5 <i<Ep</i<). 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 <i<k<sub<CC</sub<</i< 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 <i<Ep</i<), at 8.201 t/ha and 2.79 kg/m<sup<3</sup<, respectively. solar greenhouse tomato AquaCrop model DSSAT model drip irrigation plastic mulching Botany Zihui Yu verfasserin aut Xuewen Gong verfasserin aut Yinglu Ping verfasserin aut Jinyao Luo verfasserin aut Yanbin Li verfasserin aut In Plants MDPI AG, 2013 12(2023), 22, p 3863 (DE-627)737288345 (DE-600)2704341-1 22237747 nnns volume:12 year:2023 number:22, p 3863 https://doi.org/10.3390/plants12223863 kostenfrei https://doaj.org/article/1335988af3da4ec3a62227cc911c6281 kostenfrei https://www.mdpi.com/2223-7747/12/22/3863 kostenfrei https://doaj.org/toc/2223-7747 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2023 22, p 3863
allfields_unstemmed	10.3390/plants12223863 doi (DE-627)DOAJ101198221 (DE-599)DOAJ1335988af3da4ec3a62227cc911c6281 DE-627 ger DE-627 rakwb eng QK1-989 Jiankun Ge verfasserin aut Evaluation of Irrigation Modes for Greenhouse Drip Irrigation Tomatoes Based on AquaCrop and DSSAT Models 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 (<i<Ep</i<) 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 <i<Ep</i<), high water treatment with mulch (M-0.9 <i<Ep</i<), and low water treatment with mulch (M-0.5 <i<Ep</i<). 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 <i<k<sub<CC</sub<</i< 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 <i<Ep</i<), at 8.201 t/ha and 2.79 kg/m<sup<3</sup<, respectively. solar greenhouse tomato AquaCrop model DSSAT model drip irrigation plastic mulching Botany Zihui Yu verfasserin aut Xuewen Gong verfasserin aut Yinglu Ping verfasserin aut Jinyao Luo verfasserin aut Yanbin Li verfasserin aut In Plants MDPI AG, 2013 12(2023), 22, p 3863 (DE-627)737288345 (DE-600)2704341-1 22237747 nnns volume:12 year:2023 number:22, p 3863 https://doi.org/10.3390/plants12223863 kostenfrei https://doaj.org/article/1335988af3da4ec3a62227cc911c6281 kostenfrei https://www.mdpi.com/2223-7747/12/22/3863 kostenfrei https://doaj.org/toc/2223-7747 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2023 22, p 3863
allfieldsGer	10.3390/plants12223863 doi (DE-627)DOAJ101198221 (DE-599)DOAJ1335988af3da4ec3a62227cc911c6281 DE-627 ger DE-627 rakwb eng QK1-989 Jiankun Ge verfasserin aut Evaluation of Irrigation Modes for Greenhouse Drip Irrigation Tomatoes Based on AquaCrop and DSSAT Models 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 (<i<Ep</i<) 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 <i<Ep</i<), high water treatment with mulch (M-0.9 <i<Ep</i<), and low water treatment with mulch (M-0.5 <i<Ep</i<). 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 <i<k<sub<CC</sub<</i< 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 <i<Ep</i<), at 8.201 t/ha and 2.79 kg/m<sup<3</sup<, respectively. solar greenhouse tomato AquaCrop model DSSAT model drip irrigation plastic mulching Botany Zihui Yu verfasserin aut Xuewen Gong verfasserin aut Yinglu Ping verfasserin aut Jinyao Luo verfasserin aut Yanbin Li verfasserin aut In Plants MDPI AG, 2013 12(2023), 22, p 3863 (DE-627)737288345 (DE-600)2704341-1 22237747 nnns volume:12 year:2023 number:22, p 3863 https://doi.org/10.3390/plants12223863 kostenfrei https://doaj.org/article/1335988af3da4ec3a62227cc911c6281 kostenfrei https://www.mdpi.com/2223-7747/12/22/3863 kostenfrei https://doaj.org/toc/2223-7747 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2023 22, p 3863
allfieldsSound	10.3390/plants12223863 doi (DE-627)DOAJ101198221 (DE-599)DOAJ1335988af3da4ec3a62227cc911c6281 DE-627 ger DE-627 rakwb eng QK1-989 Jiankun Ge verfasserin aut Evaluation of Irrigation Modes for Greenhouse Drip Irrigation Tomatoes Based on AquaCrop and DSSAT Models 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 (<i<Ep</i<) 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 <i<Ep</i<), high water treatment with mulch (M-0.9 <i<Ep</i<), and low water treatment with mulch (M-0.5 <i<Ep</i<). 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 <i<k<sub<CC</sub<</i< 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 <i<Ep</i<), at 8.201 t/ha and 2.79 kg/m<sup<3</sup<, respectively. solar greenhouse tomato AquaCrop model DSSAT model drip irrigation plastic mulching Botany Zihui Yu verfasserin aut Xuewen Gong verfasserin aut Yinglu Ping verfasserin aut Jinyao Luo verfasserin aut Yanbin Li verfasserin aut In Plants MDPI AG, 2013 12(2023), 22, p 3863 (DE-627)737288345 (DE-600)2704341-1 22237747 nnns volume:12 year:2023 number:22, p 3863 https://doi.org/10.3390/plants12223863 kostenfrei https://doaj.org/article/1335988af3da4ec3a62227cc911c6281 kostenfrei https://www.mdpi.com/2223-7747/12/22/3863 kostenfrei https://doaj.org/toc/2223-7747 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2023 22, p 3863
language	English
source	In Plants 12(2023), 22, p 3863 volume:12 year:2023 number:22, p 3863
sourceStr	In Plants 12(2023), 22, p 3863 volume:12 year:2023 number:22, p 3863
format_phy_str_mv	Article
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topic_facet	solar greenhouse tomato AquaCrop model DSSAT model drip irrigation plastic mulching Botany
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callnumber-first	Q - Science
author	Jiankun Ge
spellingShingle	Jiankun Ge misc QK1-989 misc solar greenhouse misc tomato misc AquaCrop model misc DSSAT model misc drip irrigation misc plastic mulching misc Botany Evaluation of Irrigation Modes for Greenhouse Drip Irrigation Tomatoes Based on AquaCrop and DSSAT Models
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topic_title	QK1-989 Evaluation of Irrigation Modes for Greenhouse Drip Irrigation Tomatoes Based on AquaCrop and DSSAT Models solar greenhouse tomato AquaCrop model DSSAT model drip irrigation plastic mulching
topic	misc QK1-989 misc solar greenhouse misc tomato misc AquaCrop model misc DSSAT model misc drip irrigation misc plastic mulching misc Botany
topic_unstemmed	misc QK1-989 misc solar greenhouse misc tomato misc AquaCrop model misc DSSAT model misc drip irrigation misc plastic mulching misc Botany
topic_browse	misc QK1-989 misc solar greenhouse misc tomato misc AquaCrop model misc DSSAT model misc drip irrigation misc plastic mulching misc Botany
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title	Evaluation of Irrigation Modes for Greenhouse Drip Irrigation Tomatoes Based on AquaCrop and DSSAT Models
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title_full	Evaluation of Irrigation Modes for Greenhouse Drip Irrigation Tomatoes Based on AquaCrop and DSSAT Models
author_sort	Jiankun Ge
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author_browse	Jiankun Ge Zihui Yu Xuewen Gong Yinglu Ping Jinyao Luo Yanbin Li
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title_sort	evaluation of irrigation modes for greenhouse drip irrigation tomatoes based on aquacrop and dssat models
callnumber	QK1-989
title_auth	Evaluation of Irrigation Modes for Greenhouse Drip Irrigation Tomatoes Based on AquaCrop and DSSAT Models
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 (<i<Ep</i<) 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 <i<Ep</i<), high water treatment with mulch (M-0.9 <i<Ep</i<), and low water treatment with mulch (M-0.5 <i<Ep</i<). 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 <i<k<sub<CC</sub<</i< 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 <i<Ep</i<), at 8.201 t/ha and 2.79 kg/m<sup<3</sup<, respectively.
abstractGer	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 (<i<Ep</i<) 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 <i<Ep</i<), high water treatment with mulch (M-0.9 <i<Ep</i<), and low water treatment with mulch (M-0.5 <i<Ep</i<). 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 <i<k<sub<CC</sub<</i< 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 <i<Ep</i<), at 8.201 t/ha and 2.79 kg/m<sup<3</sup<, respectively.
abstract_unstemmed	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 (<i<Ep</i<) 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 <i<Ep</i<), high water treatment with mulch (M-0.9 <i<Ep</i<), and low water treatment with mulch (M-0.5 <i<Ep</i<). 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 <i<k<sub<CC</sub<</i< 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 <i<Ep</i<), at 8.201 t/ha and 2.79 kg/m<sup<3</sup<, respectively.
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title_short	Evaluation of Irrigation Modes for Greenhouse Drip Irrigation Tomatoes Based on AquaCrop and DSSAT Models
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Tomatoes under drip irrigation in a greenhouse were taken as the research object, and the cumulative evaporation capacity (<i<Ep</i<) 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 <i<Ep</i<), high water treatment with mulch (M-0.9 <i<Ep</i<), and low water treatment with mulch (M-0.5 <i<Ep</i<). 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 <i<k<sub<CC</sub<</i< 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). 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Evaluation of Irrigation Modes for Greenhouse Drip Irrigation Tomatoes Based on AquaCrop and DSSAT Models

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