(APSIM-Wheat模型)在3种产量水平下(潜在,雨养和实际产量)的开花期,成熟期,产量,生育期的蒸散(evapotranspiration,ET)对品种,土壤和生化等33个参数的敏感性和不确定性.发现:①影响开花期和成熟期较为敏感的参数依次是:始花期积温,出苗到拔节积温,春化指数,光周期因子,灌浆期积温;②影响产量较敏感的参数依次为:...
APSIM-Wheat,目前该模型的最新版本为 APSIM 7.7。模 型的主要驱动要素为常规的气象数据:日尺度的最高、最 低气温、降水、辐射等,涉及到的参数有土壤的水力和养 分、品种和管理参数等(表 2)。关于模型更多的信息和 代码可见官方网址:http://.apsim.info/。 1.2 敏感性分析方法 本研究涉及到的敏感...
利用内蒙古6个代表性站点的春小麦田间试验数据和同期逐日气象数据对APSIM-wheat模型在内蒙古地区的适应性进行研究,确定了10个春小麦品种的作物参数。结果表明:模拟春小麦的播种至出苗、开花和成熟各阶段天数与实测天数有较好的一致性,其均方根误差(RMSE)分别为0~1.7d,0.8~4.1d和1.0~2.8d;模拟的10个春小麦品种中,...
APSIM-wheat is a crop system simulation model, consisting of modules that incorporate aspects of soil water, nitrogen (N), residues, and crop development. The model was used to simulate above- and below-ground growth, grain yield, water and N uptake, and soil water and soil N in wheat ...
In intercrops, APSIM systematically overestimated the aboveground dry matter and grain yield of faba bean and underestimated those of wheat. APSIM was reasonably capable of simulating plant heights in pure cultures, but respectively overestimated and underestimated the height of faba bean and wheat in...
Keywords:APSIM;wheat;simulation;leafareaindex 叶片作为植物主要的光合器官,其生长和形态 的模拟是虚拟作物研究的重要组成部分 [1] 。近年 来,在水稻、小麦、玉米、棉花等作物叶片静态结构以 及叶片的空间分布和几何参数等形态模拟方面取得 了一定的研究成果 ...
In this study, we evaluated the suitability of semi-arid region of Central Morocco for wheat production using Agricultural Production Systems sIMulator (APSIM) considering weather, soil properties and crop management production factors. Model calibration
Determination of the effect of precipitation distribution on yield of wheat and pea in dryland using APSIM基于APSIM模型的降水量分配对旱地小麦和豌豆产量影响... Determination of the effect of precipitation distribution on yield of wheat and pea in dryland using APSIM基于APSIM模型的降水量分配对旱地...
APSIM-wheat is a crop system simulation model, consisting of modules that incorporate aspects of soil water, nitrogen (N), residues, and crop development. The model was used to simulate above- and belowground growth, grain yield, water and N uptake, and soil water and soil N in wheat ...
Specifically, this study explored the performance of assimilating state observations into the APSIM-Wheat model using a dataset collected during the 2018/19 wheat season at a farm near Cora Lynn in Victoria, Australia. The assimilated state variables include (1) ground-based measurements of Leaf ...