本文以中国关中地区为研究区域,首先利用杨凌站点2009-2012年夏玉米(品种为“郑单958”)和长武站点2017-2018年春玉米(品种为“先玉335”)试验数据对APSIM-Maize模型进行参数率定和验证;然后基于两个站点1971-2010年的历史气象数据,利用36种全球气候模式(GCMs)和NWAI-WG统计降尺度方法预测该地区在RCP4.5和RCP8.5两种...
Evaluation of the models indicated that APSIM-maize and DSSAT CERES-maize accurately simulated days to flowering and maturity with root mean square error (RMSE) values ranging from 1.73–4.09 and 1.66–5.36 days, respectively. However, the DSSAT CERES-maize model over-estimated the maturity period...
10.3724/SP.J .1006.2012.00740APSIM 玉米模型在刘志娟1杨晓光1’ 4东北地区的适应性王静1吕硕1李克南1荀欣1王恩利1中国农业大学资源与环境学院,北京100193;2澳大利亚联邦科工组织土地与水研究所,澳大利亚堪培拉G POBox 16662摘要:利用东北地区6个典型农业气象试验站的玉米田间试验数据和同期逐日气象数据对APSIM 模型...
Evaluating apsim maize, soil water, soil nitrogen, manure, and soil temperature modules in the midwestern united states. Agronomy Journal 106:1025-1040.Archontoulis SV, Miguez FE, Moore KJ (2014a) Evaluating APSIM maize, soil water, soil nitrogen, manure, and soil temperature modules in the...
research, two most popular Bayesian methods, namely generalized likelihood uncertainty estimation (GLUE) and Differential Evolution Adaptive Metropolis (DREAM), were used for the first time to estimate parameters of the maize module of the Agricultural Productions Systems sIMulator model (APSIM-maize). ...
research, two most popular Bayesian methods, namely generalized likelihood uncertainty estimation (GLUE) and Differential Evolution Adaptive Metropolis (DREAM), were used for the first time to estimate parameters of the maize module of the Agricultural Productions Systems sIMulator model (APSIM-maize). ...
Assessing the contribution of weather and management to the annual yield variation of summer maize using APSIM in the North China Plain. Field Crops Res. 194, 94-102.Sun, H.; Zhang, X.; Wang, E.; Chen, S.; Shao, L.; Qin, W. Assessing the contribution of weather and management to...
Days after planting to anthesis (APSIM-Maize, anthesis (DAP) RMSE = 1.91 days; DSSAT-CERES-Maize, anthesis (DAP) RMSE = 2.89 days) and maturity (APSIM-Maize, maturity (DAP) RMSE = 3.35 days; DSSAT-CERES-Maize, maturity (DAP) RMSE = 3.13 days) were adequately simulated, with RMSEn ...
Models are some of practical methods used to evaluate and monitor availability and impact of nitrogen on maize production; APSIM is one of such models. APSIM has several modules that have different functionalities and one of such modules is SoilWat module. The study modified SoilWat module...
Similarly,APSIM effectively predicted Leaf Area Indexattained at the flowering (r2 = 0.90) and maturity(r2 = 0.94) stages. However, APSIM under-estimatedmaize biomass and yield at 75% shading. In conclusion,the model can be reliably employed to simulatemaize productivity in agroforestry systems ...