Comparing CSM-CROPGRO and APSIM-OzCot Simulations for Cotton Production and Eddy Covariance-Based Evapotranspiration in Mississippi
Optimizing irrigation water use efficiency (WUE) is critical to reduce the dependency of irrigated cotton (<i>Gossypium</i> spp.) production on depleting aquifers. Cropping system models can integrate and synthesize data collected through experiments in the past and simulate management c...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-12-01
|
| Series: | Water |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4441/14/24/4022 |
| _version_ | 1797454886014550016 |
|---|---|
| author | Amitava Chatterjee Saseendran S. Anapalli |
| author_facet | Amitava Chatterjee Saseendran S. Anapalli |
| author_sort | Amitava Chatterjee |
| collection | DOAJ |
| description | Optimizing irrigation water use efficiency (WUE) is critical to reduce the dependency of irrigated cotton (<i>Gossypium</i> spp.) production on depleting aquifers. Cropping system models can integrate and synthesize data collected through experiments in the past and simulate management changes for enhancing WUE in agriculture. This study evaluated the simulation of cotton growth and evapotranspiration (ET) in a grower’s field using the CSM-CROPGRO-cotton module within the Decision Support System for Agrotechnology Transfer (DSSAT) and APSIM (Agricultural Production Systems simulator)-OzCot during 2017–2018 growing seasons. Crop ET was quantified using the eddy covariance (EC) method. Data collected in 2017 was used in calibrating the models and in 2018 validating. Over two cropping seasons, the simulated seedling emergence, flowering, and maturity dates were varied less than a week from measured for both models. Simulated leaf area index (LAI) varied from measured with the relative root mean squared errors (RRMSE) ranging between 20.6% to 38.7%. Daily ET deviated from EC estimates with root mean square errors (RMSEs) of 1.90 mm and 2.03 mm (RRMSEs of 63.1% and 54.8%) for the DSSAT and 1.95 mm and 2.17 mm (RRMSEs of 64.7% and 58.8%) for APSIM, during 2017 and 2018, respectively. Model performance varied with growing seasons, indicating improving ET simulation processes and long-term calibrations and validations are necessary for adapting the models for decision support in optimizing WUE in cotton cropping systems. |
| first_indexed | 2024-03-09T15:43:34Z |
| format | Article |
| id | doaj.art-28647bac8ad24eddbbc04df3a764dbd3 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-09T15:43:34Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-28647bac8ad24eddbbc04df3a764dbd32023-11-24T18:41:32ZengMDPI AGWater2073-44412022-12-011424402210.3390/w14244022Comparing CSM-CROPGRO and APSIM-OzCot Simulations for Cotton Production and Eddy Covariance-Based Evapotranspiration in MississippiAmitava Chatterjee0Saseendran S. Anapalli1Water Quality & Ecology Research Unit, USDA-ARS, Oxford, MS 38655, USASustainable Water Management Research Unit, USDA-ARS, Stoneville, MS 38776, USAOptimizing irrigation water use efficiency (WUE) is critical to reduce the dependency of irrigated cotton (<i>Gossypium</i> spp.) production on depleting aquifers. Cropping system models can integrate and synthesize data collected through experiments in the past and simulate management changes for enhancing WUE in agriculture. This study evaluated the simulation of cotton growth and evapotranspiration (ET) in a grower’s field using the CSM-CROPGRO-cotton module within the Decision Support System for Agrotechnology Transfer (DSSAT) and APSIM (Agricultural Production Systems simulator)-OzCot during 2017–2018 growing seasons. Crop ET was quantified using the eddy covariance (EC) method. Data collected in 2017 was used in calibrating the models and in 2018 validating. Over two cropping seasons, the simulated seedling emergence, flowering, and maturity dates were varied less than a week from measured for both models. Simulated leaf area index (LAI) varied from measured with the relative root mean squared errors (RRMSE) ranging between 20.6% to 38.7%. Daily ET deviated from EC estimates with root mean square errors (RMSEs) of 1.90 mm and 2.03 mm (RRMSEs of 63.1% and 54.8%) for the DSSAT and 1.95 mm and 2.17 mm (RRMSEs of 64.7% and 58.8%) for APSIM, during 2017 and 2018, respectively. Model performance varied with growing seasons, indicating improving ET simulation processes and long-term calibrations and validations are necessary for adapting the models for decision support in optimizing WUE in cotton cropping systems.https://www.mdpi.com/2073-4441/14/24/4022leaf area index (LAI)irrigationMississippi Delta regioneddy-covariance (EC)evapotranspiration (ET) |
| spellingShingle | Amitava Chatterjee Saseendran S. Anapalli Comparing CSM-CROPGRO and APSIM-OzCot Simulations for Cotton Production and Eddy Covariance-Based Evapotranspiration in Mississippi Water leaf area index (LAI) irrigation Mississippi Delta region eddy-covariance (EC) evapotranspiration (ET) |
| title | Comparing CSM-CROPGRO and APSIM-OzCot Simulations for Cotton Production and Eddy Covariance-Based Evapotranspiration in Mississippi |
| title_full | Comparing CSM-CROPGRO and APSIM-OzCot Simulations for Cotton Production and Eddy Covariance-Based Evapotranspiration in Mississippi |
| title_fullStr | Comparing CSM-CROPGRO and APSIM-OzCot Simulations for Cotton Production and Eddy Covariance-Based Evapotranspiration in Mississippi |
| title_full_unstemmed | Comparing CSM-CROPGRO and APSIM-OzCot Simulations for Cotton Production and Eddy Covariance-Based Evapotranspiration in Mississippi |
| title_short | Comparing CSM-CROPGRO and APSIM-OzCot Simulations for Cotton Production and Eddy Covariance-Based Evapotranspiration in Mississippi |
| title_sort | comparing csm cropgro and apsim ozcot simulations for cotton production and eddy covariance based evapotranspiration in mississippi |
| topic | leaf area index (LAI) irrigation Mississippi Delta region eddy-covariance (EC) evapotranspiration (ET) |
| url | https://www.mdpi.com/2073-4441/14/24/4022 |
| work_keys_str_mv | AT amitavachatterjee comparingcsmcropgroandapsimozcotsimulationsforcottonproductionandeddycovariancebasedevapotranspirationinmississippi AT saseendransanapalli comparingcsmcropgroandapsimozcotsimulationsforcottonproductionandeddycovariancebasedevapotranspirationinmississippi |