- Nitrogen model agriculture apsim full#
- Nitrogen model agriculture apsim trial#
- Nitrogen model agriculture apsim simulator#
Drying-Off Periods for Irrigated Sugarcane to Maximize Sucrose Yields Under Brazilian Conditions. Effects of climate change and adaptation on the livestock component of mixed farming systems: A modelling study from semi-arid Zimbabwe. ĭescheemaeker, K., Zijlstra, M., Masikati, P., Crespo, O., Tui, S.H.-K., 2018. International Journal of Plant Production 12, 115-125. Effect of Future Climate Change on Wheat Yield and Water Use Efficiency Under Semi-arid Conditions as Predicted by APSIM-Wheat Model. ĭeihimfard, R., Eyni-Nargeseh, F., Mokhtassi-Bidgoli, A., 2018. Can we use crop modelling for identifying climate change adaptation options? Agricultural and Forest Meteorology 256, 46-52. Ĭorbeels, M., Berre, D., Rusinamhodzi, L., Lopez-Ridaura, S., 2018. Performance of a fertiliser management algorithm to balance yield and nitrogen losses in dairy systems. Ĭichota, R., Vogeler, I., Werner, A., Wigley, K., Paton, B., 2018b. Science of the Total Environment 635, 1392-1404. Lateral spread affects nitrogen leaching from urine patches. Ĭichota, R., Vogeler, I., Snow, V., Shepherd, M., McAuliffe, R., Welten, B., 2018a. Response to “Comments on ‘Linking Land Use Capability classes and APSIM to estimate pasture growth for regional planning’ in Soil Research 54, 94-110 (2016).” Soil Research 56, 216-217. Agricultural and Forest Meteorology 260, 247-254. Seasonal climate forecasts provide more definitive and accurate crop yield predictions. European Journal of Agronomy 100, 141-150. Crop model improvement in APSIM: Using wheat as a case study. Modelling soil-water dynamics in the rootzone of structured and water-repellent soils. īrown, H., Carrick, S., Mueller, K., Thomas, S., Sharp, J., Cichota, R., Holzworth, D., Clothier, B., 2018a. Assessment of crop-management strategies to improve soybean resilience to climate change in Southern Brazil. īattisti, Rafael, Sentelhas, P.C., Parker, P.S., Nendel, C., Camara, G.M.D.S., Farias, J.R.B., Basso, C.J., 2018. International Journal of Biometeorology 62, 823-832. Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil. Direct and Indirect Costs of Frost in the Australian Wheatbelt. Direct and indirect costs of frost in the Australian wheatbelt. Long term biochar effects on corn yield, soil quality and profitability in the US Midwest. Journal of Plant Nutrition 41, 2069-2084. Adapting and evaluating APSIM-SoilP-Wheat model for response to phosphorus under rainfed conditions of Pakistan. Agricultural mathematicsĪgriculture > Agriculture (General) > Methods and systems of culture.Ahmed, M., Ijaz, W., Ahmad, S., 2018a. Science > Statistics > Simulation modellingĪgriculture > Agriculture (General) > Special aspects of agriculture as a whole > Sustainable agricultureĪgriculture > Agriculture (General) > Farm economics. An extensive citation list for these model testing and application studies 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.
Nitrogen model agriculture apsim trial#
An example of model performance in a long-term cropping systems trial is provided. Reports of APSIM testing in a diverse range of systems and environments are summarised.
Nitrogen model agriculture apsim full#
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. The paper outlines APSIM's structure and provides details of the concepts behind the different plant, soil and management modules. 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.
Nitrogen model agriculture apsim simulator#
The Agricultural Production Systems Simulator (APSIM) is a modular modelling framework that has been developed by the Agricultural Production Systems Research Unit in Australia.