Simulating Soybean–Rice Rotation and Irrigation Strategies in Arkansas, USA Using APEX
Autor: | Sam R. Carroll, Benjamin R. K. Runkle, Beatriz Moreno-García, Kieu Ngoc Le |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Irrigation
Geography Planning and Development TJ807-830 010501 environmental sciences Management Monitoring Policy and Law furrow TD194-195 01 natural sciences Renewable energy sources crop rotation GE1-350 Leaf area index Irrigation management Surface irrigation 0105 earth and related environmental sciences Mathematics flood irrigation Oryza sativa Environmental effects of industries and plants Renewable Energy Sustainability and the Environment Crop yield cascade irrigation food and beverages 04 agricultural and veterinary sciences Vegetation Crop rotation LAI Environmental sciences irrigation management Agronomy 040103 agronomy & agriculture 0401 agriculture forestry and fisheries calibrate multiple inlet rice irrigation |
Zdroj: | Sustainability Volume 12 Issue 17 Sustainability, Vol 12, Iss 6822, p 6822 (2020) |
ISSN: | 2071-1050 |
DOI: | 10.3390/su12176822 |
Popis: | With population growth and resource depletion, maximizing the efficiency of soybean (Glycine max [L.] Merr.) and rice (Oryza sativa L.) cropping systems is urgently needed. The goal of this study was to shed light on precise irrigation amounts and optimal agronomic practices via simulating rice&ndash rice and soybean&ndash rice crop rotations in the Agricultural Policy/Environmental eXtender (APEX) model. The APEX model was calibrated using observations from five fields under soybean&ndash rice rotation in Arkansas from 2017 to 2019 and remote sensing leaf area index (LAI) values to assess modeled vegetation growth. Different irrigation practices were assessed, including conventional flooding (CVF), known as cascade, multiple inlet rice irrigation with polypipe (MIRI), and furrow irrigation (FIR). The amount of water used differed between fields, following each field&rsquo s measured or estimated input. Moreover, fields were managed with either continuous flooding (CF) or alternate wetting and drying (AWD) irrigation. Two 20-year scenarios were simulated to test yield changes: (1) between rice&ndash rice rotation and (2) under reduced irrigation amounts. After calibration with crop yield and LAI, the modeled LAI correlated to the observations with R2 values greater than 0.66, and the percent bias (PBIAS) values were within 32%. The PBIAS and percent difference for modeled versus observed yield were within 2.5% for rice and 15% for soybean. Contrary to expectation, the rice&ndash rice rotation yields were not statistically significant. The results of the reduced irrigation scenario differed by field, but reducing irrigation beyond 20% from the original amount input by the farmers significantly reduced yields in all fields, except for one field that was over-irrigated. |
Databáze: | OpenAIRE |
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