Modeling maize growth and nitrogen dynamics using CERES-Maize (DSSAT) under diverse nitrogen management options in a conservation agriculture-based maize-wheat system
Agricultural field experiments are costly and time-consuming, and often struggling to capture spatial and temporal variability. Mechanistic crop growth models offer a solution to understand intricate crop-soil-weather system, aiding farm-level management decisions throughout the growing season. The...
| Autores principales: | , , , , , , , , , , , , , , , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2024
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/144223 |
| _version_ | 1855533019581906944 |
|---|---|
| author | Kumar, K. Parihar, C. M. Nayak, H. S. Sena, Dipaka Ranjan Godara, S. Dhakar, R. Patra, K. Sarkar, A. Bharadwaj, S. Ghasal, P. C. Meena, A. L. Reddy, K. S. Das, T. K. Jat, S. L. Sharma, D. K. Saharawat, Y. S. Singh, U. Jat, M. L. Gathala, M. K. |
| author_browse | Bharadwaj, S. Das, T. K. Dhakar, R. Gathala, M. K. Ghasal, P. C. Godara, S. Jat, M. L. Jat, S. L. Kumar, K. Meena, A. L. Nayak, H. S. Parihar, C. M. Patra, K. Reddy, K. S. Saharawat, Y. S. Sarkar, A. Sena, Dipaka Ranjan Sharma, D. K. Singh, U. |
| author_facet | Kumar, K. Parihar, C. M. Nayak, H. S. Sena, Dipaka Ranjan Godara, S. Dhakar, R. Patra, K. Sarkar, A. Bharadwaj, S. Ghasal, P. C. Meena, A. L. Reddy, K. S. Das, T. K. Jat, S. L. Sharma, D. K. Saharawat, Y. S. Singh, U. Jat, M. L. Gathala, M. K. |
| author_sort | Kumar, K. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Agricultural field experiments are costly and time-consuming, and often struggling to capture spatial and temporal variability. Mechanistic crop growth models offer a solution to understand intricate crop-soil-weather system, aiding farm-level management decisions throughout the growing season. The objective of this study was to calibrate and the Crop Environment Resource Synthesis CERES-Maize (DSSAT v 4.8) model to simulate crop growth, yield, and nitrogen dynamics in a long-term conservation agriculture (CA) based maize system. The model was also used to investigate the relationship between, temperature, nitrate and ammoniacal concentration in soil, and nitrogen uptake by the crop. Additionally, the study explored the impact of contrasting tillage practices and fertilizer nitrogen management options on maize yields. Using field data from 2019 and 2020, the DSSAT-CERES-Maize model was calibrated for plant growth stages, leaf area index-LAI, biomass, and yield. Data from 2021 were used to evaluate the model's performance. The treatments consisted of four nitrogen management options, viz., N0 (without nitrogen), N150 (150 kg N/ha through urea), GS (Green seeker-based urea application) and USG (urea super granules @150kg N/ha) in two contrasting tillage systems, i.e., CA-based zero tillage-ZT and conventional tillage-CT. The model accurately simulated maize cultivar’s anthesis and physiological maturity, with observed value falling within 5% of the model’s predictions range. LAI predictions by the model aligned well with measured values (RMSE 0.57 and nRMSE 10.33%), with a 14.6% prediction error at 60 days. The simulated grain yields generally matched with measured values (with prediction error ranging from 0 to 3%), except for plots without nitrogen application, where the model overestimated yields by 9–16%. The study also demonstrated the model's ability to accurately capture soil nitrate–N levels (RMSE 12.63 kg/ha and nRMSE 12.84%). The study concludes that the DSSAT-CERES-Maize model accurately assessed the impacts of tillage and nitrogen management practices on maize crop’s growth, yield, and soil nitrogen dynamics. By providing reliable simulations during the growing season, this modelling approach can facilitate better planning and more efficient resource management. Future research should focus on expanding the model's capabilities and improving its predictions further. |
| format | Journal Article |
| id | CGSpace144223 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1442232025-12-08T09:54:28Z Modeling maize growth and nitrogen dynamics using CERES-Maize (DSSAT) under diverse nitrogen management options in a conservation agriculture-based maize-wheat system Kumar, K. Parihar, C. M. Nayak, H. S. Sena, Dipaka Ranjan Godara, S. Dhakar, R. Patra, K. Sarkar, A. Bharadwaj, S. Ghasal, P. C. Meena, A. L. Reddy, K. S. Das, T. K. Jat, S. L. Sharma, D. K. Saharawat, Y. S. Singh, U. Jat, M. L. Gathala, M. K. maize plant growth modelling nitrogen ammonia volatilization conservation agriculture wheat zero tillage leaf area index biomass grain crop yield forecasting Agricultural field experiments are costly and time-consuming, and often struggling to capture spatial and temporal variability. Mechanistic crop growth models offer a solution to understand intricate crop-soil-weather system, aiding farm-level management decisions throughout the growing season. The objective of this study was to calibrate and the Crop Environment Resource Synthesis CERES-Maize (DSSAT v 4.8) model to simulate crop growth, yield, and nitrogen dynamics in a long-term conservation agriculture (CA) based maize system. The model was also used to investigate the relationship between, temperature, nitrate and ammoniacal concentration in soil, and nitrogen uptake by the crop. Additionally, the study explored the impact of contrasting tillage practices and fertilizer nitrogen management options on maize yields. Using field data from 2019 and 2020, the DSSAT-CERES-Maize model was calibrated for plant growth stages, leaf area index-LAI, biomass, and yield. Data from 2021 were used to evaluate the model's performance. The treatments consisted of four nitrogen management options, viz., N0 (without nitrogen), N150 (150 kg N/ha through urea), GS (Green seeker-based urea application) and USG (urea super granules @150kg N/ha) in two contrasting tillage systems, i.e., CA-based zero tillage-ZT and conventional tillage-CT. The model accurately simulated maize cultivar’s anthesis and physiological maturity, with observed value falling within 5% of the model’s predictions range. LAI predictions by the model aligned well with measured values (RMSE 0.57 and nRMSE 10.33%), with a 14.6% prediction error at 60 days. The simulated grain yields generally matched with measured values (with prediction error ranging from 0 to 3%), except for plots without nitrogen application, where the model overestimated yields by 9–16%. The study also demonstrated the model's ability to accurately capture soil nitrate–N levels (RMSE 12.63 kg/ha and nRMSE 12.84%). The study concludes that the DSSAT-CERES-Maize model accurately assessed the impacts of tillage and nitrogen management practices on maize crop’s growth, yield, and soil nitrogen dynamics. By providing reliable simulations during the growing season, this modelling approach can facilitate better planning and more efficient resource management. Future research should focus on expanding the model's capabilities and improving its predictions further. 2024-05-23 2024-05-31T23:56:31Z 2024-05-31T23:56:31Z Journal Article https://hdl.handle.net/10568/144223 en Open Access application/pdf Springer Kumar, K.; Parihar, C. M.; Nayak, H. S.; Sena, Dipaka R.; Godara, S.; Dhakar, R.; Patra, K.; Sarkar, A.; Bharadwaj, S.; Ghasal, P. C.; Meena, A. L.; Reddy, K. S.; Das, T. K.; Jat, S. L.; Sharma, D. K.; Saharawat, Y. S.; Singh, U.; Jat, M. L.; Gathala, M. K. 2024. Modeling maize growth and nitrogen dynamics using CERES-Maize (DSSAT) under diverse nitrogen management options in a conservation agriculture-based maize-wheat system. Scientific Reports, 14:11743. [doi: https://doi.org/10.1038/s41598-024-61976-6] |
| spellingShingle | maize plant growth modelling nitrogen ammonia volatilization conservation agriculture wheat zero tillage leaf area index biomass grain crop yield forecasting Kumar, K. Parihar, C. M. Nayak, H. S. Sena, Dipaka Ranjan Godara, S. Dhakar, R. Patra, K. Sarkar, A. Bharadwaj, S. Ghasal, P. C. Meena, A. L. Reddy, K. S. Das, T. K. Jat, S. L. Sharma, D. K. Saharawat, Y. S. Singh, U. Jat, M. L. Gathala, M. K. Modeling maize growth and nitrogen dynamics using CERES-Maize (DSSAT) under diverse nitrogen management options in a conservation agriculture-based maize-wheat system |
| title | Modeling maize growth and nitrogen dynamics using CERES-Maize (DSSAT) under diverse nitrogen management options in a conservation agriculture-based maize-wheat system |
| title_full | Modeling maize growth and nitrogen dynamics using CERES-Maize (DSSAT) under diverse nitrogen management options in a conservation agriculture-based maize-wheat system |
| title_fullStr | Modeling maize growth and nitrogen dynamics using CERES-Maize (DSSAT) under diverse nitrogen management options in a conservation agriculture-based maize-wheat system |
| title_full_unstemmed | Modeling maize growth and nitrogen dynamics using CERES-Maize (DSSAT) under diverse nitrogen management options in a conservation agriculture-based maize-wheat system |
| title_short | Modeling maize growth and nitrogen dynamics using CERES-Maize (DSSAT) under diverse nitrogen management options in a conservation agriculture-based maize-wheat system |
| title_sort | modeling maize growth and nitrogen dynamics using ceres maize dssat under diverse nitrogen management options in a conservation agriculture based maize wheat system |
| topic | maize plant growth modelling nitrogen ammonia volatilization conservation agriculture wheat zero tillage leaf area index biomass grain crop yield forecasting |
| url | https://hdl.handle.net/10568/144223 |
| work_keys_str_mv | AT kumark modelingmaizegrowthandnitrogendynamicsusingceresmaizedssatunderdiversenitrogenmanagementoptionsinaconservationagriculturebasedmaizewheatsystem AT pariharcm modelingmaizegrowthandnitrogendynamicsusingceresmaizedssatunderdiversenitrogenmanagementoptionsinaconservationagriculturebasedmaizewheatsystem AT nayakhs modelingmaizegrowthandnitrogendynamicsusingceresmaizedssatunderdiversenitrogenmanagementoptionsinaconservationagriculturebasedmaizewheatsystem AT senadipakaranjan modelingmaizegrowthandnitrogendynamicsusingceresmaizedssatunderdiversenitrogenmanagementoptionsinaconservationagriculturebasedmaizewheatsystem AT godaras modelingmaizegrowthandnitrogendynamicsusingceresmaizedssatunderdiversenitrogenmanagementoptionsinaconservationagriculturebasedmaizewheatsystem AT dhakarr modelingmaizegrowthandnitrogendynamicsusingceresmaizedssatunderdiversenitrogenmanagementoptionsinaconservationagriculturebasedmaizewheatsystem AT patrak modelingmaizegrowthandnitrogendynamicsusingceresmaizedssatunderdiversenitrogenmanagementoptionsinaconservationagriculturebasedmaizewheatsystem AT sarkara modelingmaizegrowthandnitrogendynamicsusingceresmaizedssatunderdiversenitrogenmanagementoptionsinaconservationagriculturebasedmaizewheatsystem AT bharadwajs modelingmaizegrowthandnitrogendynamicsusingceresmaizedssatunderdiversenitrogenmanagementoptionsinaconservationagriculturebasedmaizewheatsystem AT ghasalpc modelingmaizegrowthandnitrogendynamicsusingceresmaizedssatunderdiversenitrogenmanagementoptionsinaconservationagriculturebasedmaizewheatsystem AT meenaal modelingmaizegrowthandnitrogendynamicsusingceresmaizedssatunderdiversenitrogenmanagementoptionsinaconservationagriculturebasedmaizewheatsystem AT reddyks modelingmaizegrowthandnitrogendynamicsusingceresmaizedssatunderdiversenitrogenmanagementoptionsinaconservationagriculturebasedmaizewheatsystem AT dastk modelingmaizegrowthandnitrogendynamicsusingceresmaizedssatunderdiversenitrogenmanagementoptionsinaconservationagriculturebasedmaizewheatsystem AT jatsl modelingmaizegrowthandnitrogendynamicsusingceresmaizedssatunderdiversenitrogenmanagementoptionsinaconservationagriculturebasedmaizewheatsystem AT sharmadk modelingmaizegrowthandnitrogendynamicsusingceresmaizedssatunderdiversenitrogenmanagementoptionsinaconservationagriculturebasedmaizewheatsystem AT saharawatys modelingmaizegrowthandnitrogendynamicsusingceresmaizedssatunderdiversenitrogenmanagementoptionsinaconservationagriculturebasedmaizewheatsystem AT singhu modelingmaizegrowthandnitrogendynamicsusingceresmaizedssatunderdiversenitrogenmanagementoptionsinaconservationagriculturebasedmaizewheatsystem AT jatml modelingmaizegrowthandnitrogendynamicsusingceresmaizedssatunderdiversenitrogenmanagementoptionsinaconservationagriculturebasedmaizewheatsystem AT gathalamk modelingmaizegrowthandnitrogendynamicsusingceresmaizedssatunderdiversenitrogenmanagementoptionsinaconservationagriculturebasedmaizewheatsystem |