Items where Subject is "Science > Statistics > Simulation modelling"
Group by: Creators | Item Type
Number of items at this level: 73.
Alam, K. and Rolfe, J. and Donaghy, P. (2008) Assessing the cost-effectiveness of water quality interventions in South-East Queensland. Australasian Journal of Environmental Management, 15 (1). pp. 30-40.
Birch, C.J. and McLean, G. and Sawers, A. (2008) Analysis of high yielding maize production - A study based on a commercial crop. Australian Journal of Experimental Agriculture, 48 (3). pp. 296-303.
Birch, C.J. and Rickert, K.G. and Hammer, G.L. (1998) Modelling Leaf Production and Crop Development in Maize (Zea mays L.) After Tassel Initiation Under Diverse Conditions of Temperature and Photoperiod. Field Crops Research, 58 (2). pp. 81-95.
Birch, C.J. and Thornby, D. and Adkins, S. and Andrieu, B. and Hanan, J. (2008) Architectural modelling of maize under water stress. Australian Journal of Experimental Agriculture, 48 (3). pp. 335-341.
Chapman, S. and Cooper, M. and Podlich, D. and Hammer, G. (2003) Evaluating plant breeding strategies by simulating gene action and dryland environment effects. Agronomy Journal, 95 (1). pp. 99-113.
Chauhan, Y. and Wright, G. and Rachaputi, N.R. and Krosch, S. and Robertson, M. and Hargreaves, J. and Broome, A. (2007) Using APSIM-soiltemp to simulate soil temperature in the podding zone of peanut. Australian Journal of Experimental Agriculture, 47 (8). pp. 992-999.
Chauhan, Y.S. and Wright, G.C. and Rachaputi, N.C. (2008) Modelling climatic risks of aflatoxin contamination in maize. Australian Journal of Experimental Agriculture, 48 (3). pp. 358-366.
Chauhan, Y.S. and Wright, G.C. and Rachaputi, R.C.N. and Holzworth, D. and Broome, A. and Krosch, S. and Robertson, M.J. (2010) Application of a model to assess aflatoxin risk in peanuts. The Journal of Agricultural Science, 148 (3). pp. 341-351.
Chenu, K. and Chapman, S.C. and Hammer, G.L. and McLean, G. and Salah, H.B.H. and Tardieu, F. (2008) Short-term responses of leaf growth rate to water deficit scale up to whole-plant and crop levels: An integrated modelling approach in maize. Plant, Cell and Environment, 31 (3). pp. 378-391.
Chenu, K. and Cooper, M. and Hammer, G.L. and Mathews, K.L. and Dreccer, M.F. and Chapman, S.C. (2011) Environment characterization as an aid to wheat improvement: interpreting genotype-environment interactions by modelling water-deficit patterns in North-Eastern Australia. Journal of Experimental Botany, 62 (6). pp. 1743-1755.
Chenu, K. and Rey, H. and Dauzat, J. and Lydie, G. and Lecœur, J. (2008) Estimation of light interception in research environments: A joint approach using directional light sensors and 3D virtual plants applied to sunflower (Helianthus annuus) and Arabidopsis thaliana in natural and artificial conditions. Functional Plant Biology, 35 (10). pp. 850-866.
Chilcott, C.R. and Dalal, R.C. and Parton, W.J. and Carter, J.O. and King, A.J. (2007) Long-term trends in fertility of soils under continuous cultivation and cereal cropping in southern Queensland. IX. Simulation of soil carbon and nitrogen pools using CENTURY model. Australian Journal of Soil Research, 45 (3). pp. 206-217.
Cullen, B.R. and Eckard, R.J. and Callow, M.N. and Johnson, I.R. and Chapman, D.F. and Rawnsley, R.P. and Garcia, S.C. and White, T. and Snow, V.O. (2008) Simulating pasture growth rates in Australian and New Zealand grazing systems. Australian Journal of Agricultural Research, 59 (8). pp. 761-768.
DeVoil, P. and Rossing, W.A.H. and Hammer, G.L. (2006) Exploring profit - Sustainability trade-offs in cropping systems using evolutionary algorithms. Environmental Modelling & Software, 21 (9). pp. 1368-1374.
Dhileepan, K. and Lockett, C.J. and Robinson, M. and Pukallus, K. (2009) Prioritising potential guilds of specialist herbivores as biological control agents for prickly acacia through simulated herbivory. Annals of Applied Biology, 154 (1). pp. 97-105.
Dunlop, E.A. and Wilson, J.C. and Mackey, A.P. (2006) The potential geographic distribution of the invasive weed Senna obtusifolia in Australia. Weed Research, 46 (5). pp. 404-413.
Edwards, O.R. and Franzmann, B. and Thackray, D. and Micic, S. (2008) Insecticide resistance and implications for future aphid management in Australian grains and pastures: A review. Australian Journal of Experimental Agriculture, 48 (12). pp. 1523-1530.
Fontana, D.C. and Potgieter, A.B. and Apan, A. (2007) Assessing the relationship between shire winter crop yield and seasonal variability of the MODIS NDVI and EVI images. Applied GIS, 3 (7). ISSN 1832-5505
Fox, J.C. and Buckley, Y.M. and Panetta, F.D. and Bourgoin, J. and Pullar, D. (2009) Surveillance protocols for management of invasive plants: modelling Chilean needle grass (Nassella neesiana) in Australia. Diversity and Distributions, 15 (4). pp. 577-589.
Grenz, J.H. and Manschadi, A.M. and deVoil, P. and Meinke, H. and Sauerborn, J. (2006) Simulating crop-parasitic weed interactions using APSIM: Model evaluation and application. European Journal of Agronomy, 24 (3). pp. 257-267.
Gribble, N.A. (2004) A spatially explicit multi-competitor coexistence model of penaeid (shrimp) distribution on the Australian Great Barrier Reef. Ecological Modelling, 177 (1-2). pp. 61-74.
Hammer, G.L. and Broad, I.J. (2003) Genotype and environment effects on dynamics of harvest index during grain filling in sorghum. Agronomy Journal, 95 (1). pp. 199-206.
Hammer, G.L. and Sinclair, T.R. and Chapman, S.C. and van Oosterom, E. (2004) On Systems Thinking, Systems Biology, and the in Silico Plant. Plant Physiology, 134 (3). pp. 909-911.
Hochman, Z. and Dang, Y.P. and Schwenke, G.D. and Dalgliesh, N.P. and Routley, R. and McDonald, M. and Daniells, I.G. and Manning, W. and Poulton, P.L. (2007) Simulating the effects of saline and sodic subsoils on wheat crops growing on Vertosols. Australian Journal of Agricultural Research, 58 (8). pp. 802-810.
Holzworth, D.P. and Huth, N.I. and deVoil, P.G. (2011) Simple software processes and tests improve the reliability and usefulness of a model. Environmental Modelling & Software, 26 (4). pp. 510-516.
Horton, B.J. and Evans, D.L. and James, P.J. and Campbell, N.J. (2009) Development of a model based on Bayesian networks to estimate the probability of sheep lice presence at shearing. Animal Production Science, 49 (1). pp. 48-55.
Hunt, Mark. Modelling drought mortaility in spotted gum. Lead Agency: CSIRO.
Jonzen, N. and Pople, T. and Knape, J. and Skold, M. (2010) Stochastic demography and population dynamics in the red kangaroo Macropus rufus. Journal of Animal Ecology, 79 (1). pp. 109-116.
Jordan, David. DAQ00076 Integrating Crop IM Technology Rapid Gen. Lead Agency: Department of Employment, Economic Development and Innovation (DEEDI).
Jordan, David. Gene to Phenotype Integrative Science and Modelling Applied to Pioneer elite. Lead Agency: University of Queensland.
Kelly, A.M. and Cullis, B.R. and Gilmour, A.R. and Eccleston, J.A. and Thompson, R. (2009) Estimation in a multiplicative mixed model involving a genetic relationship matrix. Genetics Selection Evolution, 41 (1). p. 33.
Kelly, A.M. and Smith, A.B. and Eccleston, J.A. and Cullis, B.R. (2008) The accuracy of varietal selection using factor analytic models for multi-environment plant breeding trials. Crop Science, 47 (3). pp. 1063-1070.
Kumar, S.R. and Hammer, G.L. and Broad, I. and Harland, P. and McLean, G. (2009) Modelling environmental effects on phenology and canopy development of diverse sorghum genotypes. Field Crops Research, 111 (1-2). pp. 157-165.
Louarn, G. and Chenu, K. and Fournier, C. and Andrieu, B. and Giauffret, C. (2008) Relative contributions of light interception and radiation use efficiency to the reduction of maize productivity under cold temperatures. Functional Plant Biology, 35 (10). pp. 885-899.
Manson, D.G. and Hanan, J. and Hunt, M. and Bristow, M. and Erskine, P.D. and Lamb, D. and Schmidt, S. (2006) Modelling predicts positive and negative interactions between three Australian tropical tree species in monoculture and binary mixture. Forest Ecology and Management, 233 (2-3). pp. 315-323.
Mayer, D.G. and Belward, J.A. and Burrage, K. (1999) Performance of Genetic Algorithms and Simulated Annealing in the Economic Optimization of a Herd Dynamics Model. Environment International, 25 (6-7). pp. 899-905.
Mayer, D.G. and Belward, J.A. and Burrage, K. (2001) Robust parameter settings of evolutionary algorithms for the optimisation of agricultural systems models. Agricultural Systems, 69 (3). pp. 199-213.
Mayer, D.G. and Belward, J.A. and Burrage, K. (1998) Tabu search not an optimal choice for models of agricultural systems. Agricultural Systems, 58 (2). pp. 243-251.
Mayer, D.G. and Belward, J.A. and Burrage, K. (1996) Use of Advanced Techniques to Optimize a Multi-dimensional Dairy Model. Agricultural Systems, 50 (3). pp. 239-253.
Mayer, D.G. and Belward, J.A. and Widell, H. and Burrage, K. (1999) Survival of the fittest—genetic algorithms versus evolution strategies in the optimization of systems models. Agricultural Systems, 60 (2). pp. 113-122.
McKeon, G.M. and Stone, G.S. and Syktus, J.I. and Carter, J.O. and Flood, N.R. and Ahrens, D.G. and Bruget, D.N. and Chilcott, C.R. and Cobon, D.H. and Cowley, R.A. and Crimp, S.J. and Fraser, G.W. and Howden, S.M. and Johnston, P.W. and Ryan, J.G. and Stokes, C.J. and Day, K.A. (2009) Climate change impacts on northern Australian rangeland livestock carrying capacity: a review of issues. Rangeland Journal, 31 (1). pp. 1-29.
McLean, G. and Whish, J. and Routley, R. and Broad, I. and Hammer, G. (2003) The effect of row configuration on yield reliability in grain sorghum: II. Modelling the effects of row configuration. In: Solutions for a better Environment: Proceedings of the 11th Australian Agronomy Conference, 2-6 February 2003, Geelong, Victoria, Australia.
Moeller, C. and Pala, M. and Manschadi, A.M. and Meinke, H. and Sauerborn, J. (2007) Assessing the sustainability of wheat-based cropping systems using APSIM: Model parameterisation and evaluation. Australian Journal of Agricultural Research, 58 (1). pp. 75-86.
Ovenden, Jennifer Raw data for "Linkage disequilibrium estimation of effective population size with immigrants from divergent populations: a case study on Spanish mackerel (Scomberomorus commerson).". [Dataset]
Ovenden, Jenny and Street, Raewyn and Peel, David and Peel, Sam and Courtney, Tony and Podlich, Heather and Basford, Kaye and Dichmont, Cathy (2004) A new data source for fisheries resource assessment: genetic estimates of the effective number of spawners. Final Report to the Fisheries Research and Development Corporation. Project Report. QO 04010. Department of Primary Industries & Fisheries. Queensland..
Panetta, F.D. and Cacho, O.J. and Hester, S.M. and Sims-Chilton, N.M. (2011) Estimating the duration and cost of weed eradication programmes. In: Island invasives : eradication and management : proceedings of the International Conference on Island Invasives. IUCN and The Centre for Biodiversity and Biosecurity, Gland, Switzerland and Auckland, New Zealand, pp. 472-476.
Paterson, Brian. Prawn Farmers Responding to Australias Changing Climate. Lead Agency: Australian Prawn Farmers Association Inc (APFA).
Payero, J.O. and Tarkalson, D.D. and Irmak, S. and Davison, D. and Petersen, J.L. (2009) Effect of timing of a deficit-irrigation allocation on corn evapotranspiration, yield, water use efficiency and dry mass. Agricultural Water Management, 96 (10). pp. 1387-1397.
Pepper, P.M. and Dunlop, L.B. and Weston, E.J. and Cloonan, D. (2001) Simulation of the supply capability of sheep on the Mitchell grass downs of north west Queensland. In: Proceedings of the MODSIM 2001 International Congress on Modelling and Simulation, 10-13 December 2001, Canberra, Australia.
Pepper, P.M. and Mayer, D.G. and McKeon, G.M. and Moore, A.D. (1999) Modelling Mortality and Reproduction Rates for Management of Sheep Flocks in Northern Australia. In: Applied Modelling and Simulation, September 1-3, Cairns, Australia.
Pople, A.R. and Grigg, G.C. and Phinn, S.R. and Menke, N. and McAlpine, C. and Possingham, H.P. (2010) Reassessing spatial and temporal dynamics of kangaroo populations. In: Macropods: the biology of kangaroos, wallabies and rat-kangaroos. CSIRO Publishing, Melbourne, pp. 197-210.
Raghu, S. and Dhileepan, K. and Scanlan, J.C. (2007) Predicting risk and benefit a priori in biological control of invasive plant species: a systems modelling approach. Ecological Modelling, 208 (2-4). pp. 247-262.
Robson, Andrew. Smart technologies for peanut industry. Lead Agency: Department of Employment, Economic Development and Innovation (DEEDI).
Rodriguez, D. and Nuttall, J. and Sadras, V.O. and van Rees, H. and Armstrong, R. (2006) Impact of subsoil constraints on wheat yield and gross margin on fine-textured soils of the southern Victorian Mallee. Australian Journal of Agricultural Research, 57 (3). pp. 355-365.
Sadras, V.O. and Rodriguez, D. (2010) Modelling the nitrogen-driven trade-off between nitrogen utilisation efficiency and water use efficiency of wheat in eastern Australia. Field Crops Research, 118 (3). pp. 297-305.
Scanlan, J.C. and Berman, D.M. and Grant, W.E. (2006) Population dynamics of the European rabbit (Oryctolagus cuniculus) in north eastern Australia: simulated responses to control. Ecological Modelling, 196 (1-2). pp. 221-236.
Scanlan, J.C. and Vanderwoude, C. (2006) Modelling the potential spread of Solenopsis invicta Buren (Hymenoptera: Formicidae) (red imported fire ant) in Australia. Australian Journal of Entomology, 45 (1). pp. 1-9.
Soltani, A. and Meinke, H. and de Voil, P. (2004) Assessing linear interpolation to generate daily radiation and temperature data for use in crop simulations. European Journal of Agronomy, 21 (2). pp. 133-148.
Soltani, A. and Robertson, M.J. and Manschadi, A.M. (2006) Modeling chickpea growth and development: Nitrogen accumulation and use. Field Crops Research, 99 (1). pp. 24-34.
Song, Y.H. and Birch, C. and Qu, S.S. and Doherty, A. and Hanan, J. (2010) Analysis and Modelling of the Effects of Water Stress on Maize Growth and Yield in Dryland Conditions. Plant Production Science, 13 (2). pp. 199-208.
Stanaway, M.A. and Mengersen, K.L. and Reeves, R. (2011) Hierarchical Bayesian modelling of early detection surveillance for plant pest invasions. Environmental and Ecological Statistics, 18 (3). pp. 569-591.
Stanaway, M.A. and Reeves, R. and Mengersen, K.L. (2011) Hierarchical Bayesian modelling of plant pest invasions with human-mediated dispersal. Ecological Modelling, 222 (19). pp. 3531-3540.
Stephenson, Russell. Better Macadamia crop forecasting. Lead Agency: Department of Employment, Economic Development and Innovation (DEEDI).
Stephenson, Russell. Better Macadamia Crop Forecasting - Part 2. Lead Agency: Department of Employment, Economic Development and Innovation (DEEDI).
Stephenson, Russell. Macadamia Modelling Scoping Study. Lead Agency: Department of Employment, Economic Development and Innovation (DEEDI).
Stephenson, Russell. Towards the Development of a Functional-Structural model for Macadamia. Lead Agency: Department of Employment, Economic Development and Innovation (DEEDI).
Tho, R. and Hanan, J. and Dhileepan, K. and Shivas, R.G. and Adkins, S.W. (2011) Simulation of parthenium weed canopy under changing climate using L-systems. In: MODSIM2011: 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, Perth, pp. 1009-1015.
Thompson, John. Crop sequences to manage soil pathogens and increase northern grain production. Lead Agency: CSIRO.
van Eeeuwijk, F.A. and CAM Bink, M. and Chenu, K. and Chapman, S.C. (2010) Detection and use of QTL for complex traits in multiple environments. Current Opinion in Plant Biology, 13 (2). pp. 193-205. ISSN 1369-5266
Werth, J.A. and Preston, C. and Taylor, I.N. and Charles, G.W. and Roberts, G.N. and Baker, J. (2008) Managing the risk of glyphosate resistance in Australian glyphosate-resistant cotton production systems. Pest Management Science, 64 (4). pp. 417-421.
Whitbread, A.M. and Clem, R.L. (2006) Graze to grain - measuring and modelling the effects of grazed pasture leys on soil nitrogen and sorghum yield on a Vertosol soil in the Australian subtropics. Australian Journal of Agricultural Research, 57 (5). pp. 489-500.
White, Neil. Developing Queensland 3D Tropical Fruits and Nuts modelling capabilities. Lead Agency: Department of Employment, Economic Development and Innovation (DEEDI).
Zhang, X. and Lee, J.H. and Abawi, Y. and Kim, Y.H. and McClymont, D. and Kim, H.D. (2007) Testing the simulation capability of APSIM-ORYZA under different levels of nitrogen fertiliser and transplanting time regimes in Korea. Australian Journal of Experimental Agriculture, 47 (12). pp. 1446-1454.