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@article{assengPerformanceAPSIMwheatModel1998,
title = {Performance of the {{APSIM}}-Wheat Model in {{Western Australia}}},
author = {Asseng, S. and Keating, B. A. and Fillery, I. R. P. and Gregory, P. J. and Bowden, J. W. and Turner, N. C. and Palta, J. A. and Abrecht, D. G.},
date = {1998-05-29},
journaltitle = {Field Crops Research},
volume = {57},
pages = {163--179},
issn = {0378-4290},
doi = {10.1016/S0378-4290(97)00117-2},
url = {http://www.sciencedirect.com/science/article/B6T6M-3T6RX6K-3/2/f530623a47e081aed4c76c652f0c31d8},
urldate = {2010-07-12},
abstract = {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 crops in Western Australia. Model outputs were compared with detailed field experiments from four rainfall zones, three soil types, and five wheat genotypes. The field experiments covered 10 seasons, with variations in sowing date, plant density, N fertiliser, deep ripping and irrigation. The overall APSIM model predictions of shoot growth, root depth, water and N uptake, soil water, soil N, drainage and nitrate leaching were found to be acceptable. Grain yields were well predicted with a coefficient of determination r2(1:1)=0.77, despite some underestimation during severe terminal droughts. Yields tended to be underestimated during terminal droughts due to insufficient pre-anthesis stored carbohydrates being remobilised to the grain. Simulation of grain protein, and depth to the perched water table showed limited accuracy when compared with field measurements. In particular, grain protein tended to be overpredicted at high protein levels and underpredicted at low levels. However, specific simulation studies to predict biomass, yield, drainage and nitrate leaching are now possible for wheat crops on the tested soil types and rainfall zones in Western Australia.},
file = {C\:\\Users\\zhe00a\\OneDrive - CSIRO\\Working\\10-Reference\\storage\\3BCI45CE\\Asseng et al. - 1998 - Performance of the APSIM-wheat model in Western Au.pdf},
keywords = {APSIM},
number = {2}
}
@article{assengUseAPSIMWheat1998,
title = {Use of the {{APSIM}} Wheat Model to Predict Yield, Drainage, and {{NO}}{\textsubscript{3}}{\textsuperscript{-}} Leaching for a Deep Sand},
author = {Asseng, S. and Fillery, I. R. P. and Anderson, G. C. and Dolling, P. J. and Dunin, F. X. and Keating, B. A.},
date = {1998-01-01},
journaltitle = {Australian Journal of Experimental Agriculture},
volume = {49},
pages = {363--378},
url = {http://www.publish.csiro.au/paper/A97095},
urldate = {2010-07-12},
abstract = {High rates of drainage and leaching of nitrates in deep sands in Western Australia are contributing to groundwater recharge and soil acidification in this region. Strategies are being soughtto increase water and nitrogen (N) use in the legume-based cropping systems. Choice of appropriate management strategies is complicated by the diversity of soil types, the range of crops, and the inherent season to season variability. Simulation models provide the means to extrapolate beyond the bounds of experimental data if accurate predictions of key processes can be demonstrated. This paper evaluates the accuracy of predictions of soil water content, evapotranspiration, drainage, inorganic N content insoil, nitrate (NO-3) leaching, wheat growth, N uptake, and grain yields obtained from the Agricultural Production Systems Simulator (APSIM) model when this was initialised with appropriate information on soil properties and wheat varieties commonly grown on deep sands in the 500 mm rainfall zone west of Moora in Western Australia. The model was found to give good predictions of soil water content,evapotranspiration, deep drainage, and overall NO-3 leaching. Temporal changes in inorganic N insoil were simulated, although the small concentrations in soil inorganic N precluded close matching of paired observed and predicted values. Crop growth and N uptake were closely predicted up to anthesis, but a poor fit between observed and predicted crop growth and N uptake was noted postanthesis. Reasons for the discrepancies between modelled and observed values are outlined. The model was run with historical weather data (81 years) and different initial soil water and inorganic soil N profiles to assess the probability of drainage and NO-3 leaching, and the grain yield potentials for wheat grown on deep sands in the region west of Moora. Simulation showed that thesoil water and the soil inorganic N content at the beginning of each season had no effect on grain yield, implying that pre-seed soil NO-3 was largely lost from the soil by leaching. There was a 50\% probability that 141 mm of winter rainfall could drain below 1·5 m and a 50\% probability that 53 kgN/ha could be leached under wheat following a lupin crop, where initial soil water contents andsoil NO-3 contents used in the model were those measured in a deep sand after late March rainfall. Simulated application of N fertiliser at sowing increased both grain yield and NO-3 leaching. Splitting the N application between the time of sowing and 40 days after sowing decreased NO-3 leaching,increased N uptake by wheat, and increased grain yield, findings which are consistent with agronomic practice. The high drainage and leaching potential of these soils were identified as the main reasons why predicted yields did not approach the French and Schultz potential yield estimates based on 20 kg grain yield per mm of rainfall. When the available water was reduced by simulated drainage, simulated grain yields for the fertilised treatments approached the potential yield line.},
file = {C\:\\Users\\zhe00a\\OneDrive - CSIRO\\Working\\10-Reference\\storage\\PT948JV4\\Asseng et al. - 1998 - Use of the APSIM wheat model to predict yield, dra.pdf},
keywords = {APSIM},
number = {3}
}
@article{keatingOverviewAPSIMModel2003,
title = {An Overview of {{APSIM}}, a Model Designed for Farming Systems Simulation},
author = {Keating, B. A. and Carberry, P. S. and Hammer, G. L. and Probert, M. E. and Robertson, M. J. and Holzworth, D. and Huth, N. I. and Hargreaves, J. N. G. and Meinke, H. and Hochman, Z. and McLean, G. and Verburg, K. and Snow, V. and Dimes, J. P. and Silburn, M. and Wang, E. and Brown, S. and Bristow, K. L. and Asseng, S. and Chapman, S. C. and McCown, R. L. and Freebairn, D. M. and Smith, C. J.},
date = {2003-01},
journaltitle = {European Journal of Agronomy},
shortjournal = {Eur J Agron},
volume = {18},
pages = {267--288},
issn = {1161-0301},
doi = {10.1016/S1161-0301(02)00108-9},
url = {http://www.sciencedirect.com/science/article/B6T67-47FDS23-5/2/7a19506963a281097dd4459d24ea7455},
urldate = {2009-11-13},
abstract = {The Agricultural Production Systems Simulator (APSIM) is a modular modelling framework that has been developed by the Agricultural Production Systems Research Unit in Australia. APSIM was developed to simulate biophysical process in farming systems, in particular where there is interest in the economic and ecological outcomes of management practice in the face of climatic risk. The paper outlines APSIM's structure and provides details of the concepts behind the different plant, soil and management modules. These modules include a diverse range of crops, pastures and trees, soil processes including water balance, N and P transformations, soil pH, erosion and a full range of management controls. Reports of APSIM testing in a diverse range of systems and environments are summarised. An example of model performance in a long-term cropping systems trial is provided. APSIM has been used in a broad range of applications, including support for on-farm decision making, farming systems design for production or resource management objectives, assessment of the value of seasonal climate forecasting, analysis of supply chain issues in agribusiness activities, development of waste management guidelines, risk assessment for government policy making and as a guide to research and education activity. An extensive citation list for these model testing and application studies is provided.},
file = {C\:\\Users\\zhe00a\\OneDrive - CSIRO\\Working\\10-Reference\\storage\\VITHCUBR\\Keating et al. - 2003 - An overview of APSIM, a model designed for farming.pdf},
keywords = {APSIM},
number = {3-4}
}
@article{meinkeImprovingWheatSimulation1997,
title = {Improving Wheat Simulation Capabilities in {{Australia}} from a Cropping Systems Perspective {{III}}. {{The}} Integrated Wheat Model ({{I}}\_{{WHEAT}})},
author = {Meinke, H. and Hammer, G. L. and van Keulen, H. and Rabbinge, R.},
date = {1997},
journaltitle = {European Journal of Agronomy},
volume = {8},
pages = {101--116},
issn = {11610301},
doi = {10.1016/S1161-0301(97)00015-4},
file = {C\:\\Users\\zhe00a\\OneDrive - CSIRO\\Working\\10-Reference\\storage\\3EZ8QEFG\\Meinke et al. - 1998 - Improving wheat simulation capabilities in Austral.pdf},
number = {1-2},
options = {useprefix=true}
}
@article{meinkeImprovingWheatSimulation1998,
title = {Improving Wheat Simulation Capabilities in {{Australia}} from a Cropping Systems Perspective {{II}}. {{Testing}} Simulation Capabilities of Wheat Growth},
author = {Meinke, H. and Rabbinge, R. and Hammer, G. L. and van Vankeulen, H. and Jamieson, P.},
date = {1998},
journaltitle = {European Journal of Agronomy},
shortjournal = {European Journal of Agronomy},
volume = {8},
pages = {83--99},
issn = {11610301},
doi = {10.1016/S1161-0301(97)00016-6},
url = {http://linkinghub.elsevier.com/retrieve/pii/S1161030197000166},
file = {C\:\\Users\\zhe00a\\OneDrive - CSIRO\\Working\\10-Reference\\storage\\U3NPT9WJ\\Meinke et al. - 1998 - Improving wheat simulation capabilities in Austral.pdf},
number = {1-2},
options = {useprefix=true}
}