Probabilistic Assessment of Cereal Rye Cover Crop Impacts on Regional Crop Yield and Soil Carbon
Field research for exploring the impact of winter cover crops (WCCs) integration into cropping systems is resource intensive, time-consuming and offers limited application beyond the study area. To bridge this gap, we used the APSIM model, to simulate corn (<i>Zea mays</i> L.)-rye (<i...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/13/1/176 |
| _version_ | 1797447312549609472 |
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| author | Teerath Rai Nicole Lee Martin Williams Adam Davis María B. Villamil Hamze Dokoohaki |
| author_facet | Teerath Rai Nicole Lee Martin Williams Adam Davis María B. Villamil Hamze Dokoohaki |
| author_sort | Teerath Rai |
| collection | DOAJ |
| description | Field research for exploring the impact of winter cover crops (WCCs) integration into cropping systems is resource intensive, time-consuming and offers limited application beyond the study area. To bridge this gap, we used the APSIM model, to simulate corn (<i>Zea mays</i> L.)-rye (<i>Secale cereale</i> L.)-corn-rye and corn-rye-soybean (<i>Glycine max</i> L.)-rye rotations in comparison with corn-corn and corn-soybean rotations across the state of Illinois at a spatial resolution of 5 km × 5 km from 2000 to 2020 to study the impact of WCCs on soil organic carbon (SOC) dynamics and crop production. By propagating the uncertainty in model simulations associated with initial conditions, weather, soil, and management practices, we estimated the probability and the expected value of change in crop yield and SOC following WCC integration. Our results suggest that integrating cereal rye into the crop rotations imparted greater yield stability for corn across the state. It was found that the areas with low probability of increase in SOC (<i>p</i> < 0.75) responded equally well for soil carbon sequestration through long term adoption of WCCs. This study presents the most complete uncertainty accounting of WCC benefits across a broad region and provides greater insights into the spatiotemporal variability of WCCs benefits for increasing WCC adoption rate. |
| first_indexed | 2024-03-09T13:53:05Z |
| format | Article |
| id | doaj.art-7a77fea64caf4e38bfd1462c688327d8 |
| institution | Directory Open Access Journal |
| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-09T13:53:05Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj.art-7a77fea64caf4e38bfd1462c688327d82023-11-30T20:46:51ZengMDPI AGAgriculture2077-04722023-01-0113117610.3390/agriculture13010176Probabilistic Assessment of Cereal Rye Cover Crop Impacts on Regional Crop Yield and Soil CarbonTeerath Rai0Nicole Lee1Martin Williams2Adam Davis3María B. Villamil4Hamze Dokoohaki5Department of Crop Sciences, University of Illinois Urbana-Champaign, Urbana, IL 61801, USADepartment of Crop Sciences, University of Illinois Urbana-Champaign, Urbana, IL 61801, USAGlobal Change and Photosynthesis Research Unit, United States Department of Agriculture-Agricultural Research Service, Urbana, IL 61801, USADepartment of Crop Sciences, University of Illinois Urbana-Champaign, Urbana, IL 61801, USADepartment of Crop Sciences, University of Illinois Urbana-Champaign, Urbana, IL 61801, USADepartment of Crop Sciences, University of Illinois Urbana-Champaign, Urbana, IL 61801, USAField research for exploring the impact of winter cover crops (WCCs) integration into cropping systems is resource intensive, time-consuming and offers limited application beyond the study area. To bridge this gap, we used the APSIM model, to simulate corn (<i>Zea mays</i> L.)-rye (<i>Secale cereale</i> L.)-corn-rye and corn-rye-soybean (<i>Glycine max</i> L.)-rye rotations in comparison with corn-corn and corn-soybean rotations across the state of Illinois at a spatial resolution of 5 km × 5 km from 2000 to 2020 to study the impact of WCCs on soil organic carbon (SOC) dynamics and crop production. By propagating the uncertainty in model simulations associated with initial conditions, weather, soil, and management practices, we estimated the probability and the expected value of change in crop yield and SOC following WCC integration. Our results suggest that integrating cereal rye into the crop rotations imparted greater yield stability for corn across the state. It was found that the areas with low probability of increase in SOC (<i>p</i> < 0.75) responded equally well for soil carbon sequestration through long term adoption of WCCs. This study presents the most complete uncertainty accounting of WCC benefits across a broad region and provides greater insights into the spatiotemporal variability of WCCs benefits for increasing WCC adoption rate.https://www.mdpi.com/2077-0472/13/1/176APSIMcereal ryeregional crop modelingcover cropscarbon sequestrationyield stability |
| spellingShingle | Teerath Rai Nicole Lee Martin Williams Adam Davis María B. Villamil Hamze Dokoohaki Probabilistic Assessment of Cereal Rye Cover Crop Impacts on Regional Crop Yield and Soil Carbon Agriculture APSIM cereal rye regional crop modeling cover crops carbon sequestration yield stability |
| title | Probabilistic Assessment of Cereal Rye Cover Crop Impacts on Regional Crop Yield and Soil Carbon |
| title_full | Probabilistic Assessment of Cereal Rye Cover Crop Impacts on Regional Crop Yield and Soil Carbon |
| title_fullStr | Probabilistic Assessment of Cereal Rye Cover Crop Impacts on Regional Crop Yield and Soil Carbon |
| title_full_unstemmed | Probabilistic Assessment of Cereal Rye Cover Crop Impacts on Regional Crop Yield and Soil Carbon |
| title_short | Probabilistic Assessment of Cereal Rye Cover Crop Impacts on Regional Crop Yield and Soil Carbon |
| title_sort | probabilistic assessment of cereal rye cover crop impacts on regional crop yield and soil carbon |
| topic | APSIM cereal rye regional crop modeling cover crops carbon sequestration yield stability |
| url | https://www.mdpi.com/2077-0472/13/1/176 |
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