数字农科院2.0

Using the DSSAT-CERES-Maize model to simulate crop yield and nitrogen cycling in fields under long-term continuous maize production

文献类型： 外文期刊

作者： Liu, H. L.;Yang, J. Y.;Drury, C. F.;Reynolds, W. D.;Tan, C. S.;Liu, H. L.;Bai, Y. L.;He, P.;Jin, J.;He, P.;Jin, J.;Hoogenboom, G.

作者机构：

关键词： DSSAT;Cropping system model;CSM-CERES-Maize;Sequential simulation;Long-term experiment;Maize yield;Nitrate loss

期刊名称： NUTRIENT CYCLING IN AGROECOSYSTEMS

ISSN：

年卷期：

页码：

收录情况： SCI

摘要： Simulation models, such as the DSSAT (Decision Support System for Agrotechnology Transfer) Crop System Models are often used to characterize, develop and assess field crop production practices. In this study, one of the DSSAT Cropping System Model, CERES-Maize, was employed to characterize maize (Zea mays) yield and nitrogen dynamics in a 50-year maize production study at Woodslee, Ontario, Canada (42A degrees 13'N, 82A degrees 44'W). The treatments selected for this study included continuous corn/maize with fertilization (CC-F) and continuous corn/maize without fertilization (CC-NF) treatments. Sequential model simulations of long-term maize yield (1959-2008), near-surface (0-30 cm) soil mineral nitrogen (N) content (2000), and soil nitrate loss (1998-2000) were compared to measured values. The model did not provide accurate predictions of annual maize yields, but the overall agreement was as good as other researchers have obtained. In the CC-F treatment, near-surface soil mineral N and cumulative soil nitrate loss were simulated by the model reasonably well, with n-RMSE = 62 and 29%, respectively. In the CC-NF treatment, however, the model consistently overestimated soil nitrate loss. These outcomes can be used to improve our understanding of the long-term effects of fertilizer management practices on maize yield and soil properties in improved and degraded soils.

分类号： TQ44

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