Use of CERES-Maize to study effect of spatial precipitation variability on yield |
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| Institution: | 1. School of Construction and Environmental Engineering, Shenzhen Polytechnic, Shenzhen, 518055, China;2. College of Public Administration, Huazhong University of Science and Technology, Wuhan, 430074, China;3. School of Economics and Management, Beijing Forestry University, Room 924, No.35, Tsinghua East Road, Haidian District, Beijing, 100083, China;4. Collage of Public Administration, Central China Normal University, Wuhan, 430079, China;5. National Academy for Mayors of China, Huixin West Street, Chaoyang District, Beijing, 100029, China;1. National Engineering and Technology Center for Information Agriculture, Jiangsu Key Laboratory for Information Agriculture, Nanjing Agricultural University, Jiangsu Collaborative Innovation Center for Modern Crop Production, 1 Weigang Road, Nanjing, Jiangsu 210095, PR China;2. Department of Agronomy, The Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province, College of Agriculture and Food Science, Zhejiang A & F University, Lin’an, Hangzhou 311300, PR China;1. Centre for Agricultural Water Research in China, China Agricultural University, Beijing 100083, PR China;2. State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, PR China;3. College of Water Science and Engineering, Yangzhou University, Jiangsu, Yangzhou, 225009, PR China;4. Water Conservancy Bureau of Chaoyang, Beijing 100026, PR China;1. University of São Paulo, “Luiz de Queiroz” College of Agriculture, Piracicaba, SP 13418-900, Brazil;2. James Cook University, College of Science, Technology and Engineering, Townsville, QLD 4811, Australia;3. Alvean, São Paulo, SP 01311-000, Brazil;4. Gordian Energy and Terracal Alimentos e Bioenergia, Barra da Tijuca, RJ 22640-100, Brazil;1. Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Max-Eyth-Allee 100, 14469 Potsdam, Germany;2. Humboldt-University of Berlin, Faculty of Life Sciences, Hinter der Reinhardtstr. 8-18, 10115 Berlin, Germany;1. Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences/Key Laboratory of Agricultural Environment, Ministry of Agriculture of P.R. China, Beijing 100081, China;2. Department of Agricultural and Biological Engineering, University of Florida, Gainesville, FL 32606-0570, USA;3. Institute of Meteorological Sciences of Laoning Province, Shenyang 110166, China;4. College of Resources and Environmental Sciences, Agricultural University of Hebei, Baoding 071000, China |
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| Abstract: | The objective of this study was to determine the usefulness of on-farm precipitation measurement, through determining spatial and temporal precipitation variability and its effect on corn yield. CERES-Maize (DSSAT version 3.5) was used with three precipitation data sources, for an Indiana farm—an on-farm National Weather Service (NWS) station, the nearest non-urban NWS station with electronic reporting (27 km from the farm), and a weighted mean of the three nearest such stations (27–35 km away)—to simulate 31 years of crop yield on 1-ha grid cells. Described as a percentage of the mean, spatial precipitation variability among the three data sources by corn phenological phase was 21–104%, while temporal (year-to-year) variability was 20–49%. The difference in simulated yield based on spatial precipitation variability was 15.8%, while year-to-year yield variability was 21.5%. The apparent yield difference based on spatial precipitation variability was of the same order as year-to-year variability, which suggests having on-farm precipitation data may be necessary for accurate yield modeling. |
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