A systems-level yield gap assessment of maize-soybean rotation under high- and low-management inputs in the Western US Corn Belt using APSIM
Quantifying yield gaps (potential minus actual yield) and identifying management practices to close those gaps is critical for sustaining high-yielding production systems. The objectives of this study were to: 1) calibrate and validate the APSIM maize and soybean models using local field experimenta...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | info:ar-repo/semantics/artículo |
| Language: | Inglés |
| Published: |
Elsevier
2019
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.12123/5266 https://www.sciencedirect.com/science/article/pii/S0308521X18304360 https://doi.org/10.1016/j.agsy.2019.04.008 |
| _version_ | 1855035468130811904 |
|---|---|
| author | Balboa, Guillermo R. Archontoulis, Sotirios Salvagiotti, Fernando Garcia, Fernando O. Stewart, W.M. Francisco, Eros Artur Bohac Vara Prasad, P.V. Ciampitti, Ignacio A. |
| author_browse | Archontoulis, Sotirios Balboa, Guillermo R. Ciampitti, Ignacio A. Francisco, Eros Artur Bohac Garcia, Fernando O. Salvagiotti, Fernando Stewart, W.M. Vara Prasad, P.V. |
| author_facet | Balboa, Guillermo R. Archontoulis, Sotirios Salvagiotti, Fernando Garcia, Fernando O. Stewart, W.M. Francisco, Eros Artur Bohac Vara Prasad, P.V. Ciampitti, Ignacio A. |
| author_sort | Balboa, Guillermo R. |
| collection | INTA Digital |
| description | Quantifying yield gaps (potential minus actual yield) and identifying management practices to close those gaps is critical for sustaining high-yielding production systems. The objectives of this study were to: 1) calibrate and validate the APSIM maize and soybean models using local field experimental data and 2) use the calibrated model to estimate and explain yield gaps in the long term as a function of management (high- vs low-input) and weather conditions (wet-warm, wet-cold, dry-warm and dry-cold years) in the western US Corn Belt. The model was calibrated and validated using in-season crop growth data from six maize-soybean rotations obtained in 2014 and 2015 in Kansas, US. Experimental data included two management systems: 1) Common Practices (CP, low-input), wide row spacing, lower seeding rate, and lack of nutrient applications (except N in maize), and 2) Intensified Practices (IP, high-input), narrow rows, high seeding rate, and balanced nutrition. Results indicated that APSIM simulated in-season crop above ground mass and nitrogen (N) dynamics as well yields with a modeling efficiency of 0.75 to 0.92 and a relative root mean square error of 18 to 31%. The simulated maize yield gap across all years was 4.2 and 2.5 Mg ha−1 for low- and high-input, respectively. Similarly, the soybean yield gap was 2.5 and 0.8 Mg ha−1. Simulation results indicated that the high-input management system had greater yield stability across all weather years. In warm-dry years, yield gaps were larger for both crops and water scenarios. Irrigation reduced yield variation in maize more than in soybean, relative to the rainfed scenario. Besides irrigation, model analysis indicated that N fertilization for maize and narrow rows for soybean were the main factors contributing to yield gains. This study provides a systems level yield gap assessment of maize and soybean cropping system in Western US Corn Belt that can initiate dialogue (both experimental and modeling activities) on finding and applying best management systems to close current yield gaps. |
| format | info:ar-repo/semantics/artículo |
| id | INTA5266 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INTA52662024-10-25T12:30:09Z A systems-level yield gap assessment of maize-soybean rotation under high- and low-management inputs in the Western US Corn Belt using APSIM Balboa, Guillermo R. Archontoulis, Sotirios Salvagiotti, Fernando Garcia, Fernando O. Stewart, W.M. Francisco, Eros Artur Bohac Vara Prasad, P.V. Ciampitti, Ignacio A. Maíz Soja Rotación de Cultivos Rendimiento de Cultivos Estados Unidos Maize Soybeans Crop Rotation Yield Gap Crop Yield Quantifying yield gaps (potential minus actual yield) and identifying management practices to close those gaps is critical for sustaining high-yielding production systems. The objectives of this study were to: 1) calibrate and validate the APSIM maize and soybean models using local field experimental data and 2) use the calibrated model to estimate and explain yield gaps in the long term as a function of management (high- vs low-input) and weather conditions (wet-warm, wet-cold, dry-warm and dry-cold years) in the western US Corn Belt. The model was calibrated and validated using in-season crop growth data from six maize-soybean rotations obtained in 2014 and 2015 in Kansas, US. Experimental data included two management systems: 1) Common Practices (CP, low-input), wide row spacing, lower seeding rate, and lack of nutrient applications (except N in maize), and 2) Intensified Practices (IP, high-input), narrow rows, high seeding rate, and balanced nutrition. Results indicated that APSIM simulated in-season crop above ground mass and nitrogen (N) dynamics as well yields with a modeling efficiency of 0.75 to 0.92 and a relative root mean square error of 18 to 31%. The simulated maize yield gap across all years was 4.2 and 2.5 Mg ha−1 for low- and high-input, respectively. Similarly, the soybean yield gap was 2.5 and 0.8 Mg ha−1. Simulation results indicated that the high-input management system had greater yield stability across all weather years. In warm-dry years, yield gaps were larger for both crops and water scenarios. Irrigation reduced yield variation in maize more than in soybean, relative to the rainfed scenario. Besides irrigation, model analysis indicated that N fertilization for maize and narrow rows for soybean were the main factors contributing to yield gains. This study provides a systems level yield gap assessment of maize and soybean cropping system in Western US Corn Belt that can initiate dialogue (both experimental and modeling activities) on finding and applying best management systems to close current yield gaps. EEA Oliveros Fil: Balboa, Guillermo R. Kansas State University. Department of Agronomy; Estados Unidos. Universidad Nacional de Río Cuarto; Argentina Fil: Archontoulis, Sotirios. Iowa State University. Department of Agronomy; Estados Unidos Fil: Salvagiotti, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros. Departamento de Agronomía; Argentina Fil: García, Fernando O. International Plant Nutrition Institute. Latin American Southern Cone; Argentina Fil: Stewart, W.M. International Plant Nutrition Institute. Great Plains Region; Estados Unidos Fil: Francisco, Eros Artur Bohac. International Plant Nutrition Institute. Cerrados; Brasil Fil: Vara Prasad, P.V. Kansas State University. Department of Agronomy; Estados Unidos Fil: Ciampitti, Ignacio A. Kansas State University. Department of Agronomy; Estados Unidos 2019-06-06T12:59:08Z 2019-06-06T12:59:08Z 2019-08 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/5266 https://www.sciencedirect.com/science/article/pii/S0308521X18304360 0308-521X https://doi.org/10.1016/j.agsy.2019.04.008 eng info:eu-repo/semantics/restrictedAccess application/pdf Elsevier Agricultural Systems 174 : 145-154 (August 2019) |
| spellingShingle | Maíz Soja Rotación de Cultivos Rendimiento de Cultivos Estados Unidos Maize Soybeans Crop Rotation Yield Gap Crop Yield Balboa, Guillermo R. Archontoulis, Sotirios Salvagiotti, Fernando Garcia, Fernando O. Stewart, W.M. Francisco, Eros Artur Bohac Vara Prasad, P.V. Ciampitti, Ignacio A. A systems-level yield gap assessment of maize-soybean rotation under high- and low-management inputs in the Western US Corn Belt using APSIM |
| title | A systems-level yield gap assessment of maize-soybean rotation under high- and low-management inputs in the Western US Corn Belt using APSIM |
| title_full | A systems-level yield gap assessment of maize-soybean rotation under high- and low-management inputs in the Western US Corn Belt using APSIM |
| title_fullStr | A systems-level yield gap assessment of maize-soybean rotation under high- and low-management inputs in the Western US Corn Belt using APSIM |
| title_full_unstemmed | A systems-level yield gap assessment of maize-soybean rotation under high- and low-management inputs in the Western US Corn Belt using APSIM |
| title_short | A systems-level yield gap assessment of maize-soybean rotation under high- and low-management inputs in the Western US Corn Belt using APSIM |
| title_sort | systems level yield gap assessment of maize soybean rotation under high and low management inputs in the western us corn belt using apsim |
| topic | Maíz Soja Rotación de Cultivos Rendimiento de Cultivos Estados Unidos Maize Soybeans Crop Rotation Yield Gap Crop Yield |
| url | http://hdl.handle.net/20.500.12123/5266 https://www.sciencedirect.com/science/article/pii/S0308521X18304360 https://doi.org/10.1016/j.agsy.2019.04.008 |
| work_keys_str_mv | AT balboaguillermor asystemslevelyieldgapassessmentofmaizesoybeanrotationunderhighandlowmanagementinputsinthewesternuscornbeltusingapsim AT archontoulissotirios asystemslevelyieldgapassessmentofmaizesoybeanrotationunderhighandlowmanagementinputsinthewesternuscornbeltusingapsim AT salvagiottifernando asystemslevelyieldgapassessmentofmaizesoybeanrotationunderhighandlowmanagementinputsinthewesternuscornbeltusingapsim AT garciafernandoo asystemslevelyieldgapassessmentofmaizesoybeanrotationunderhighandlowmanagementinputsinthewesternuscornbeltusingapsim AT stewartwm asystemslevelyieldgapassessmentofmaizesoybeanrotationunderhighandlowmanagementinputsinthewesternuscornbeltusingapsim AT franciscoerosarturbohac asystemslevelyieldgapassessmentofmaizesoybeanrotationunderhighandlowmanagementinputsinthewesternuscornbeltusingapsim AT varaprasadpv asystemslevelyieldgapassessmentofmaizesoybeanrotationunderhighandlowmanagementinputsinthewesternuscornbeltusingapsim AT ciampittiignacioa asystemslevelyieldgapassessmentofmaizesoybeanrotationunderhighandlowmanagementinputsinthewesternuscornbeltusingapsim AT balboaguillermor systemslevelyieldgapassessmentofmaizesoybeanrotationunderhighandlowmanagementinputsinthewesternuscornbeltusingapsim AT archontoulissotirios systemslevelyieldgapassessmentofmaizesoybeanrotationunderhighandlowmanagementinputsinthewesternuscornbeltusingapsim AT salvagiottifernando systemslevelyieldgapassessmentofmaizesoybeanrotationunderhighandlowmanagementinputsinthewesternuscornbeltusingapsim AT garciafernandoo systemslevelyieldgapassessmentofmaizesoybeanrotationunderhighandlowmanagementinputsinthewesternuscornbeltusingapsim AT stewartwm systemslevelyieldgapassessmentofmaizesoybeanrotationunderhighandlowmanagementinputsinthewesternuscornbeltusingapsim AT franciscoerosarturbohac systemslevelyieldgapassessmentofmaizesoybeanrotationunderhighandlowmanagementinputsinthewesternuscornbeltusingapsim AT varaprasadpv systemslevelyieldgapassessmentofmaizesoybeanrotationunderhighandlowmanagementinputsinthewesternuscornbeltusingapsim AT ciampittiignacioa systemslevelyieldgapassessmentofmaizesoybeanrotationunderhighandlowmanagementinputsinthewesternuscornbeltusingapsim |