Improving wheat simulation capabilities in Australia from a cropping systems perspective. II. Testing simulation capabilities of wheat growth

European Journal of Agronomy

Volumn 8, Issue 1-2, 1998, Pages 83-99

  Meinke, Holger ^a,b   Rabbinge, Rudy ^b   Hammer, Graeme L ^a   Van Keulen, Herman ^b   Jamieson, Peter D ^c  

^a CSIRO   (Australia)

^b WAGENINGEN UNIVERSITY   (Netherlands)

^c THE NEW ZEALAND INSTITUTE FOR PLANT AND FOOD RESEARCH LIMITED   (New Zealand)

Author keywords

APSIM; Crop models; Crop physiology; Model testing; Radiation use efficiency; Resource use; Systems analysis; Transpiration efficiency

Indexed keywords

EID: 0031909509     PISSN: 11610301     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1161-0301(97)00016-6     Document Type: Article

References (34)

1. Amir, J., Sinclair, T.R., 1991. A model of water limitation spring wheat growth and yield. Field Crops Res. 28, 59-
2. Australian Bureau of Agricultural and Resource Economy (ABARE), 1994. Crop Report No 82, 18 January 19 Canberra.
3. Chapman, S.C., Hammer, G.L., Meinke, H., 1993. A sunflower simulation model: I Model development. Agron. J. 725-735.
4. Fischer, R.A., 1979. Growth and water limitation to dryla wheat in Australia: A physiological framework. J. Aust. I Agric. Sci. 45, 83-94.
5. Fischer, R.A., 1985. Number of kernels in wheat crops and influence of solar radiation and temperature. J. Agric. S Camb. 105, 447-461.
6. Goudriaan, J., Van de Geijn, S.C., Ingram, J.S.I., 1994. GC Focus 3 Wheat Modelling and Experimental D Comparison Workshop Report. Lunteren, Netherlands, N 1993. GCTE Focus 3 Office. University of Oxford, Oxford
7. Goyne, P.J., Meinke, H., Milroy, S.P., Hammer, G.L., Hammer J.M., 1996. Development and use of a barley crop simulation model to evaluate production management strategies in north east Australia. Aust. J. Agric. Res. 47, 997-1015.
8. Hammer, G.L., Woodruff, D.R., Robinson, J.B., 1987. Effect of climatic variability and possible climatic change on reliability of wheat cropping - A modelling approach. Agric. F Meteorol. 41, 123-142.
9. Hammer, G.L., Sinclair, T.R., Wright, G.C., Meinke, H., B J., 1995. A peanut simulation model: I Model development and testing. Agron. J. 87, 1085-1092.
10. van Keulen, H., Seligman, N.G., 1987. Simulation of water L nitrogen nutrition and growth of a spring wheat crop Simulation Monographs. Pudoc, Wagening The Netherlands, 309 p.
11. van Keulen, H., Goudriaan, J., Seligman, N.G., Modelling effects of nitrogen on canopy development and crop grow In: Plant Canopies: Their growth, Form and Function, S Seminar Series, Vol. 31, eds G. Russell, B. Marshall and P Jarvis. Cambridge University Press, Cambridge, 19 pp. 83-404.
12. McCown, R.L., Hammer, G.L., Hargreaves, J.N., Holzworth, D.P., Freebairn, D.M., 1996. APSIM: A no software system for model development, model testing, a simulation in agricultural research. Agric. Syst. 50, 255-2
13. Meinke, H., 1996. Improving wheat simulation capabilities Australia from a cropping systems perspective. PhD the Wageningen Agricultural University, CIP-Data Koninkli Bibliotheek, Den Haag, 270 p.
14. Meinke, H., Hammer, G.L., van Keulen, H., Rabbinge, Keating, B.A., 1997a. Improving wheat simulation capabilities in Australia from a cropping systems perspective. I. Wa and nitrogen effects on spring wheat in a semi-arid environment. Europ. J. Agron., in press.
15. Meinke, H., Hammer, G.L., van Keulen, H., Rabbinge, 1997b. Improving wheat simulation capabilities in Austra from a cropping systems perspective. III. The integrated wheat model (I_WHEAT). Europ. J. Agron., in press.
16. Milroy, S.P., Goyne, P.J., 1995, Leaf area development in barley - model construction and response to soil moisture status. Aust. J. Agric. Res. 46, 845-860.
17. O'Leary, G.J., Connor, D.J., White, D.H., 1985. A simulation model of the development, growth and yield of the wheat crop. Agric. Syst. 17, 1-26.
18. Ortiz-Monasterio, J.I., Dhillon, S.S., Fischer, R.A., 1994. Date of sowing effects in grain yield and yield components of spring wheat cultivars and their relationship with radiation and temperature in Ludhiana, India. Field Crops Res. 37, 169-184.
19. Parton, W.J., Rasmussen, P.E., 1994. Long-term effects of crop management in wheat-fallow: II. CENTURY model simulations. Soil Sci. Soc. Am. J. 58, 530-536.
20. Probert, M.E., Dimes, J.P., Keating, B.A., Dalat, R.C., Strong, W.M., 1997. APSIM's water and nitrogen modules and simulation of the dynamics of water and nitrogen in fallow systems. Ag. Syst., in press.
21. Probert, M.E., Keating, B.A., Thompson, J.P., Parton, W.J., 1995. Modelling water, nitrogen and crop yield for a long-term fallow management experiment. Aust. J. Exp. Agric. 35, 941-950.
22. Robertson, M.J., Giunta, F., 1994. Responses of spring wheat exposed to pre-anthesis water stress. Aust. J. Agric. Res. 45, 19-35.
23. Sinclair, T.R., 1986. Water and nitrogen limitations in soybean grain production. I. Model development . Field Crops Res. 15, 125-141.
24. Sinclair, T.R., Horie, T., 1989. Leaf nitrogen, photosynthesis, and crop radiation use efficiency: A review. Crop Sci. 29, 90-98.
25. Sinclair, T.R., Amir, J., 1992. A model to assess nitrogen limitations on the growth and yield of spring wheat. Field Crops Res. 30, 63-78.
26. Spiertz, J.H.J., van de Haar, H., 1978. Differences in grain growth, crop photosynthesis and distribution of assimilates between a semi-dwarf and a standard cultivar of winter wheat. Neth. J. Agric. Sci. 26, 233-249.
27. Stapper, M., 1984. SIMTAG: A Simulation Model of Wheat Genotypes. Model documentation. ICARDA, Aleppo, Syria and University of New England, Armidale, NSW, Australia, 108 p.
28. Stockle, C.O., Campbell, G.S., 1989. Simulation of crop response to water and nitrogen: An example using spring wheat. Trans. ASAE 32, 66-74.
29. Tanner, C.B., Sinclair, T.R., 1983. Efficient water use in crop production: Research or re-search? Limitations to Efficient Water Use in Crop Production. ASA, Madison, WI, pp. 1-27.
30. Teittinen, M., Karvonen, T., Peltonen, J., 1994. A dynamic model for water and nitrogen limited growth in spring wheat to predict yield and quality. J. Agron. Crop Sci. 172, 90-103.
31. Wallach, D., Goffinet, B., 1989. Mean squared error of prediction as a criterion for evaluating and comparing system models. Ecot. Modelli. 44, 299-306.
32. de Wit, C.T., Making predictions about farming. In Scientific Europe, Research and Technology in 20 Countries, ed. Foundation Scientific Europe, Nature and Technology Scientific Publishers Ltd., Maastricht. The Netherlands, 1990, pp. 188-191.
33. Woodruff, D.R., 1983. The effect of a common date of either anthesis or planting on the rate of development and grain yield of wheat. Aust. J. Agric. Res. 34, 13-22.
34. Woodruff, D.R., Tonks, J., 1983. Relationship between time of anthesis and grain yield of wheat genotypes with differing developmental patterns. Aust. J. Agric. Res. 34, 1-11.