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 ...
Using seasonal rainfall with APSIM to improve maize production in the Modder River catchment 来自 Semantic Scholar 喜欢 0 阅读量: 4 作者: KM Nape 摘要: In order to meet the food requirements of an ever-growing population, agricultural production needs to increase. This is especially true for ...
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...
基于APSIM-Maize 模型的石羊河流域 春玉米适宜种植区产量模拟及参数优化doi:10.12396/jsgg.2024221史博然韩娜娜彭致功周青云李松敏王敏敏Water Saving Irrigation
Evaluating apsim maize, soil water, soil nitrogen, manure, and soil temperature modules in the midwestern united states. Agronomy Journal 106:1025-1040.Archontoulis, S.V.; Miguez, F.E.; Moore, K.J. Evaluating APSIM maize, soil water, soil nitrogen, manure, and soil temperature modules ...
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...
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). ...
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 ...