Calibrated Models for Major Crops and Cropping System using Existing Datasets in Morocco and Uzbekistan
Simulation modeling is an approach that describes processes of crop growth, development, and yield formation as a function of biophysical (weather, soil, water, nutrients, and crop management) factors using mechanistic and process-based computer models (Hoogenboom et al., 2012; Keating et al., 2003)...
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| Formato: | Internal Document |
| Lenguaje: | Inglés |
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International Center for Agricultural Research in the Dry Areas
2022
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/126880 |
| _version_ | 1855539025656414208 |
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| author | Devkota, Krishna Devkota Wasti, Mina Kumari |
| author_browse | Devkota Wasti, Mina Kumari Devkota, Krishna |
| author_facet | Devkota, Krishna Devkota Wasti, Mina Kumari |
| author_sort | Devkota, Krishna |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Simulation modeling is an approach that describes processes of crop growth, development, and yield formation as a function of biophysical (weather, soil, water, nutrients, and crop management) factors using mechanistic and process-based computer models (Hoogenboom et al., 2012; Keating et al., 2003).
Those input datasets for the model are derived from different sources, such as field experiments, household surveys, web-based data sources, remote sensing data, published literature, etc. Crop and Cropping System Models are a valuable ex-ante decision support tool which generates useful outputs for the precision agricultural management, provides decision for climate change mitigation and adaptation with ecosystem services, and also provides decision for institutional and policy reform (Fig. 1). Such models can be used to evaluate the effects of various agronomic practices, varieties, and climate change impacts on crop production and food security at the field, farm, and landscape levels. Agricultural Production Systems Simulator (APSIM) (Keating et al., 2003), Cropping Systems Simulator (CropSyst) (Stöckle et al., 2003), Decision Support System for Agro-technology Transfer (DSSAT) are the process-based major cropping system models, and Hydrus-1/2/3D (Šimůnek et al., 2013) is a major hydrological model. Simulation models have the potential to quantify the magnitude of crop yield gaps and determine its factors. |
| format | Internal Document |
| id | CGSpace126880 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | International Center for Agricultural Research in the Dry Areas |
| publisherStr | International Center for Agricultural Research in the Dry Areas |
| record_format | dspace |
| spelling | CGSpace1268802026-01-23T02:15:25Z Calibrated Models for Major Crops and Cropping System using Existing Datasets in Morocco and Uzbekistan Devkota, Krishna Devkota Wasti, Mina Kumari biodiversity conservation agriculture food security health nutrition yield gap goal 1 no poverty environmental health goal 2 zero hunger goal 13 climate action simulation modeling climate adaptation and mitigation hydrous-1d Simulation modeling is an approach that describes processes of crop growth, development, and yield formation as a function of biophysical (weather, soil, water, nutrients, and crop management) factors using mechanistic and process-based computer models (Hoogenboom et al., 2012; Keating et al., 2003). Those input datasets for the model are derived from different sources, such as field experiments, household surveys, web-based data sources, remote sensing data, published literature, etc. Crop and Cropping System Models are a valuable ex-ante decision support tool which generates useful outputs for the precision agricultural management, provides decision for climate change mitigation and adaptation with ecosystem services, and also provides decision for institutional and policy reform (Fig. 1). Such models can be used to evaluate the effects of various agronomic practices, varieties, and climate change impacts on crop production and food security at the field, farm, and landscape levels. Agricultural Production Systems Simulator (APSIM) (Keating et al., 2003), Cropping Systems Simulator (CropSyst) (Stöckle et al., 2003), Decision Support System for Agro-technology Transfer (DSSAT) are the process-based major cropping system models, and Hydrus-1/2/3D (Šimůnek et al., 2013) is a major hydrological model. Simulation models have the potential to quantify the magnitude of crop yield gaps and determine its factors. 2022-12-01 2023-01-11T18:30:55Z 2023-01-11T18:30:55Z Internal Document https://hdl.handle.net/10568/126880 en Limited Access application/pdf International Center for Agricultural Research in the Dry Areas Krishna Devkota, Mina Kumari Devkota Wasti. (1/12/2022). Calibrated Models for Major Crops and Cropping System using Existing Datasets in Morocco and Uzbekistan. Morocco: International Center for Agricultural Research in the Dry Areas (ICARDA). |
| spellingShingle | biodiversity conservation agriculture food security health nutrition yield gap goal 1 no poverty environmental health goal 2 zero hunger goal 13 climate action simulation modeling climate adaptation and mitigation hydrous-1d Devkota, Krishna Devkota Wasti, Mina Kumari Calibrated Models for Major Crops and Cropping System using Existing Datasets in Morocco and Uzbekistan |
| title | Calibrated Models for Major Crops and Cropping System using Existing Datasets in Morocco and Uzbekistan |
| title_full | Calibrated Models for Major Crops and Cropping System using Existing Datasets in Morocco and Uzbekistan |
| title_fullStr | Calibrated Models for Major Crops and Cropping System using Existing Datasets in Morocco and Uzbekistan |
| title_full_unstemmed | Calibrated Models for Major Crops and Cropping System using Existing Datasets in Morocco and Uzbekistan |
| title_short | Calibrated Models for Major Crops and Cropping System using Existing Datasets in Morocco and Uzbekistan |
| title_sort | calibrated models for major crops and cropping system using existing datasets in morocco and uzbekistan |
| topic | biodiversity conservation agriculture food security health nutrition yield gap goal 1 no poverty environmental health goal 2 zero hunger goal 13 climate action simulation modeling climate adaptation and mitigation hydrous-1d |
| url | https://hdl.handle.net/10568/126880 |
| work_keys_str_mv | AT devkotakrishna calibratedmodelsformajorcropsandcroppingsystemusingexistingdatasetsinmoroccoanduzbekistan AT devkotawastiminakumari calibratedmodelsformajorcropsandcroppingsystemusingexistingdatasetsinmoroccoanduzbekistan |