Measuring and modeling the water balance of low rainfall cropping systems
In low-rainfall cropping systems, understanding the water balance, and in particular the storage of soil water in the rooting zone for use by crops, is considered critical for devising risk management strategies for grain-based farming. Crop-soil modeling remains a cost-effective option for underst...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
American Society of Agricultural and Biological Engineers
2017
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/91956 |
| _version_ | 1855526888352514048 |
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| author | Whitbread, Anthony M. Hoffmann, M.P. Davoren, C.W. Mowat, D. Baldock, J.A. |
| author_browse | Baldock, J.A. Davoren, C.W. Hoffmann, M.P. Mowat, D. Whitbread, Anthony M. |
| author_facet | Whitbread, Anthony M. Hoffmann, M.P. Davoren, C.W. Mowat, D. Baldock, J.A. |
| author_sort | Whitbread, Anthony M. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | In low-rainfall cropping systems, understanding the water balance, and in particular the storage of soil water in the rooting zone for use by crops, is considered critical for devising risk management strategies for grain-based farming. Crop-soil modeling remains a cost-effective option for understanding the interactions between rainfall, soil, and crop growth, from which management options can be derived. The objective of this study was to assess the error in the prediction of soil water content at key decision points in the season against continuous, multi-layer soil water measurements made with frequency domain reflectometry (FDR) probes in long-term experiments in the Mallee region of South Australia and New South Wales. Field estimates of the crop lower limit or drained upper limit were found to be more reliable than laboratory-based estimates, despite the fact that plant-available water capacity (PAWC) did not substantially differ between the methods. Using the Agricultural Production Systems sIMulator (APSIM) to simulate plant-available water over three-year rotations, predicted soil water was within 7 mm (PAWC 64 to 99 mm) of the measured data across all sowing events and rotations. Simulated (n = 46) wheat grain production resulted in a root mean square error (RMSE) of 492 kg ha-1, which is only marginally smaller than that of other field studies that derived soil water limits with less detailed methods. This study shows that using field-derived data of soil water limits and soil-specific settings for parameterization of other properties that determine soil evaporation and water redistribution enables APSIM to be widely applied for managing climate risk in low-rainfall environments. |
| format | Journal Article |
| id | CGSpace91956 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | American Society of Agricultural and Biological Engineers |
| publisherStr | American Society of Agricultural and Biological Engineers |
| record_format | dspace |
| spelling | CGSpace919562025-02-19T14:32:23Z Measuring and modeling the water balance of low rainfall cropping systems Whitbread, Anthony M. Hoffmann, M.P. Davoren, C.W. Mowat, D. Baldock, J.A. climate change agriculture food security In low-rainfall cropping systems, understanding the water balance, and in particular the storage of soil water in the rooting zone for use by crops, is considered critical for devising risk management strategies for grain-based farming. Crop-soil modeling remains a cost-effective option for understanding the interactions between rainfall, soil, and crop growth, from which management options can be derived. The objective of this study was to assess the error in the prediction of soil water content at key decision points in the season against continuous, multi-layer soil water measurements made with frequency domain reflectometry (FDR) probes in long-term experiments in the Mallee region of South Australia and New South Wales. Field estimates of the crop lower limit or drained upper limit were found to be more reliable than laboratory-based estimates, despite the fact that plant-available water capacity (PAWC) did not substantially differ between the methods. Using the Agricultural Production Systems sIMulator (APSIM) to simulate plant-available water over three-year rotations, predicted soil water was within 7 mm (PAWC 64 to 99 mm) of the measured data across all sowing events and rotations. Simulated (n = 46) wheat grain production resulted in a root mean square error (RMSE) of 492 kg ha-1, which is only marginally smaller than that of other field studies that derived soil water limits with less detailed methods. This study shows that using field-derived data of soil water limits and soil-specific settings for parameterization of other properties that determine soil evaporation and water redistribution enables APSIM to be widely applied for managing climate risk in low-rainfall environments. 2017-12-15 2018-03-27T18:35:07Z 2018-03-27T18:35:07Z Journal Article https://hdl.handle.net/10568/91956 en Limited Access American Society of Agricultural and Biological Engineers Whitbread AM, Hoffmann MP, Davoren CW, Mowat D, Baldock JA. 2017. Measuring and modeling the water balance of low rainfall cropping systems. Transactions of the American Society of Agricultural and Biological Engineers 60(6): 2097-2110. |
| spellingShingle | climate change agriculture food security Whitbread, Anthony M. Hoffmann, M.P. Davoren, C.W. Mowat, D. Baldock, J.A. Measuring and modeling the water balance of low rainfall cropping systems |
| title | Measuring and modeling the water balance of low rainfall cropping systems |
| title_full | Measuring and modeling the water balance of low rainfall cropping systems |
| title_fullStr | Measuring and modeling the water balance of low rainfall cropping systems |
| title_full_unstemmed | Measuring and modeling the water balance of low rainfall cropping systems |
| title_short | Measuring and modeling the water balance of low rainfall cropping systems |
| title_sort | measuring and modeling the water balance of low rainfall cropping systems |
| topic | climate change agriculture food security |
| url | https://hdl.handle.net/10568/91956 |
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