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Items where Subject is "Simulation modelling"

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Number of items at this level: 88.

A

Alam, K., 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.

Ash, A., Hunt, L., McDonald, C., Scanlan, J., Bell, L., Cowley, R., Watson, I., McIvor, J. and MacLeod, N. (2015) Boosting the productivity and profitability of northern Australian beef enterprises: Exploring innovation options using simulation modelling and systems analysis. Agricultural Systems, 139 . pp. 50-65. ISSN 0308521X

B

Birch, C.J., 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., 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., Thornby, D., Adkins, S., Andrieu, B. and Hanan, J. (2008) Architectural modelling of maize under water stress. Australian Journal of Experimental Agriculture, 48 (3). pp. 335-341.

Brider, J., George-Jaeggli, B., Broad, I.J., Eyre, J., Ferrante, A., McLean, G., McLean, J., Skerman, A. and Rodriguez, D. (2016) Updating the crop simulation model APSIM to predict yields of more specifically-adapted sorghum hybrids. In: Australian Summer Grains Conference 2016, 7-9 March 2016, RACV Royal Pines Resort, Gold Coast.

C

Chapman, S., Cooper, M., 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., Wright, G., Rachaputi, N.R., Krosch, S., Robertson, M., 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., 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., Wright, G.C., Rachaputi, R.C.N., Holzworth, D., Broome, A., 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.

Chauhan, Y., Tatnell, J., Krosch, S., Karanja, J., Gnonlonfin, B., Wanjuki, I., Wainaina, J. and Harvey, J. (2015) An improved simulation model to predict pre-harvest aflatoxin risk in maize. Field Crops Research, 178 . pp. 91-99. ISSN 0378-4290

Chenu, K., Chapman, S.C., Hammer, G.L., McLean, G., 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., Cooper, M., Hammer, G.L., Mathews, K.L., 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., Rey, H., Dauzat, J., 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., Dalal, R.C., Parton, W.J., 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., Eckard, R.J., Callow, M.N., Johnson, I.R., Chapman, D.F., Rawnsley, R.P., Garcia, S.C., 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.

D

De Faveri, J., Verbyla, A. P., Cullis, B. R., Pitchford, W. S. and Thompson, R. (2016) Residual Variance–Covariance Modelling in Analysis of Multivariate Data from Variety Selection Trials. Journal of Agricultural, Biological and Environmental Statistics . pp. 1-22. ISSN 1537-2693

DeVoil, P., 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.

Detomini, E. R., Neto, D. D., Frizzone, J. A., Doherty, A., Meinke, H., Reichardt, K., Dias, C. T. S. and Figueiredo, M. G. (2012) Stochastic model for simulating maize yield. Transactions of the ASABE .

Dhakal, B. and Scanlan, J. (2015) Assessment of functional forms of crop yield loss models of invasive plant species applied in decision support tools and bioeconomic modelling. Agricultural Systems, 138 . pp. 100-115.

Dhileepan, K., Lockett, C.J., 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., 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.

E

Edwards, O.R., Franzmann, B., 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.

F

Fontana, D.C., 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., Buckley, Y.M., Panetta, F.D., 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.

G

Godwin, R. M., Mayer, D. G., Brown, G. W., Leemon, D. M. and James, P. J. (2017) Predicting nuisance fly outbreaks on cattle feedlots in subtropical Australia. Animal Production Science, 58 (2). pp. 343-349.

Grenz, J.H., Manschadi, A.M., deVoil, P., 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.

H

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., Sinclair, T.R., 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., Dang, Y.P., Schwenke, G.D., Dalgliesh, N.P., Routley, R., McDonald, M., Daniells, I.G., 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., 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.

Holzworth, D. P., Huth, N. I., deVoil, P. G., Zurcher, E. J., Herrmann, N. I., McLean, G., Chenu, K., van Oosterom, E. J., Snow, V., Murphy, C., Moore, A. D., Brown, H., Whish, J. P.M., Verrall, S., Fainges, J., Bell, L. W., Peake, A. S., Poulton, P. L., Hochman, Z., Thorburn, P. J., Gaydon, D. S., Dalgliesh, N. P., Rodriguez, D., Cox, H., Chapman, S., Doherty, A., Teixeira, E., Sharp, J., Cichota, R., Vogeler, I., Li, F. Y., Wang, E., Hammer, G. L., Robertson, M. J., Dimes, J. P., Whitbread, A. M., Hunt, J., van Rees, H., McClelland, T., Carberry, P. S., Hargreaves, J. N.G., MacLeod, N., McDonald, C., Harsdorf, J., Wedgwood, S. and Keating, B. A. (2014) APSIM – Evolution towards a new generation of agricultural systems simulation. Environmental Modelling & Software . ISSN 13648152

Horton, B.J., Evans, D.L., 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.

J

Jonzen, N., Pople, T., 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, D. (2014) Integrating crop improvement technologies for rapid genetic advance. Project Report. Grains Research & Development Corporation.

K

Kelly, A.M., Cullis, B.R., Gilmour, A.R., 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., Smith, A.B., 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.

Kouadio, L., Newlands, N., Potgieter, A., McLean, G. and Hill, H. (2015) Exploring the Potential Impacts of Climate Variability on Spring Wheat Yield with the APSIM Decision Support Tool. Agricultural Sciences, 6 (07). p. 686.

Kumar, S.R., Hammer, G.L., Broad, I., 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.

L

Louarn, G., Chenu, K., Fournier, C., 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.

Lyndal-Murphy, M., Swain, A. J. and Pepper, P. M. (2014) Methods to determine resistance to anthelmintics when continuing larval development occurs. Veterinary Parasitology, 199 (3–4). pp. 191-200. ISSN 0304-4017

M

Manson, D.G., Hanan, J., Hunt, M., Bristow, M., Erskine, P.D., 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., 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., 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., 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., 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., Belward, J.A., 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.

Mayer, D.G. and Stephenson, R. A. (2016) Statistical ensemble models to forecast the Australian macadamia crop. In: MODSIM2015, 21st International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 29 November - 4 December 2015, Gold Coast, Queensland, Australia..

McKeon, G.M., Stone, G.S., Syktus, J.I., Carter, J.O., Flood, N.R., Ahrens, D.G., Bruget, D.N., Chilcott, C.R., Cobon, D.H., Cowley, R.A., Crimp, S.J., Fraser, G.W., Howden, S.M., Johnston, P.W., Ryan, J.G., 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., Whish, J., Routley, R., 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., Sauerborn, J., de Voil, P., Manschadi, A. M., Pala, M. and Meinke, H. (2014) Assessing the sustainability of wheat-based cropping systems using simulation modelling: sustainability. Sustainability Science, 9 (1). pp. 1-16. ISSN 1862-4065; 1862-4057

Moeller, C., Pala, M., Manschadi, A.M., 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.

Moore, A. D., Holzworth, D. P., Herrmann, N. I., Brown, H. E., de Voil, P. G., Snow, V. O., Zurcher, E. J. and Huth, N. I. (2014) Modelling the manager: Representing rule-based management in farming systems simulation models. Environmental Modelling & Software, 62 . pp. 399-410. ISSN 1364-8152

O

Ovenden, J. 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, J., Street, R., Peel, D., Peel, S., Courtney, T., Podlich, H., Basford, K. and Dichmont, C. (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..

P

Panetta, F.D., Cacho, O.J., 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.

Payero, J.O., Tarkalson, D.D., Irmak, S., 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.

Peake, A. S., Huth, N. I., Kelly, A. M. and Bell, K. L. (2013) Variation in water extraction with maize plant density and its impact on model application. Field Crops Research, 146 . pp. 31-37. ISSN 0378-4290

Pepper, P.M., Dunlop, L.B., 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., Mayer, D.G., 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., Grigg, G.C., Phinn, S.R., Menke, N., 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.

Power, B. and Cacho, O. J. (2014) Identifying risk-efficient strategies using stochastic frontier analysis and simulation: An application to irrigated cropping in Australia. Agricultural Systems, 125 . pp. 23-32.

R

Raghu, S., 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.

Renton, M., Busi, R., Neve, P., Thornby, D. and Vila-Aiub, M. (2014) Herbicide resistance modelling: Past, present and future. Pest Management Science . ISSN 1526498X

Rodriguez, D., Nuttall, J., Sadras, V.O., 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.

S

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.

Sapak, Z., Salam, M. U., Minchinton, E. J., MacManus, G. P. V., Joyce, D. C. and Galea, V. J. (2017) POMICS: A Simulation Disease Model for Timing Fungicide Applications in Management of Powdery Mildew of Cucurbits. Phytopathology, 107 (9). pp. 1022-1031. ISSN 0031-949X

Scanlan, J. C., McIvor, J. G., Bray, S. G., Cowley, R. A., Hunt, L. P., Pahl, L. I., MacLeod, N. D. and Whish, G. L. (2014) Resting pastures to improve land condition in northern Australia: guidelines based on the literature and simulation modelling. The Rangeland Journal, 36 (5). pp. 429-443.

Scanlan, J.C., 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.

Seyoum, S., Chauhan, Y., Rachaputi, R., Fekybelu, S. and Prasanna, B. (2017) Characterising production environments for maize in eastern and southern Africa using the APSIM Model. Agricultural and Forest Meteorology, 247 . pp. 445-453. ISSN 0168-1923

Seyoum, S., Rachaputi, R., Chauhan, Y., Prasanna, B. and Fekybelu, S. (2018) Application of the APSIM model to exploit G × E × M interactions for maize improvement in Ethiopia. Field Crops Research, 217 . pp. 113-124. ISSN 0378-4290

Singh, V., Nguyen, C. T., Oosterom, E. v., Jordan, D., Chapman, S. C. and McLean, G. (2015) Heat stress effects on grain sorghum productivity-biology and modelling. In: 17th Australian Agronomy Conference, Hobart, Tasmania.

Soltani, A., 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., 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., Birch, C., Qu, S.S., 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.

Soufizadeh, S., Munaro, E., McLean, G., Massignam, A., van Oosterom, E. J., Chapman, S. C., Messina, C., Cooper, M. and Hammer, G. L. Modelling the nitrogen dynamics of maize crops – Enhancing the APSIM maize model. European Journal of Agronomy . ISSN 1161-0301

Stanaway, M.A., 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., 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.

T

Tho, R., Hanan, J., Dhileepan, K., 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.

V

van Eeeuwijk, F.A., CAM Bink, M., 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

W

Walmsley, B. J., Oddy, V.H., Gudex, B.W., Mayer, D.G. and McPhee, M.J. (2016) Transformation of the BeefSpecs fat calculator: Addressing eating quality and production efficiency with on-farm decision making. In: MODSIM2015, 21st International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand,, 29 November - 4 December 2015, Gold Coast, Queensland, Australia..

Wang, M., Thorp, G., Hofman, H., White, N., Wherritt, E. and Hanan, J. (2016) Pattern-oriented modelling of plant architecture: A new approach for constructing functional-structural plant models. In: IEEE International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications (FSPMA), 7-11 Nov. 2016, Qingdao, China.

Werth, J.A., Preston, C., Taylor, I.N., Charles, G.W., 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.

Whish, J. P. M., Herrmann, N. I., White, N. A., Moore, A. D. and Kriticos, D. J. (2015) Integrating pest population models with biophysical crop models to better represent the farming system. Environmental Modelling & Software, 72 . pp. 418-425.

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.

Z

Zhang, X., Lee, J.H., Abawi, Y., Kim, Y.H., 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.

This list was generated on Wed Nov 14 06:16:58 2018 UTC.