Abstract
Agronomy is the science of crop management for greatest benefit. It proceeds from an understanding, albeit imperfect, of the crop, through prediction of better management techniques, to verification of prediction in controlled field experiments, and finally, to demonstration of benefit to farmers. Crop management decisions deal with tactical issues, i.e. questions relevant to a particular crop and season, such as a mid-crop fungicide application. There are also strategic issues applying to long-term management; for example, at the farm level, whether to long fallow or continuously crop or, nationally, how to allocate scarce water resources or to utilize new lands. The resolution of these issues is complicated by the fact that crop responses to fungicides, water or new environments interact with other agronomic factors, and with soil type, genotype and particularly weather.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Anderson, J. R., 1974, Simulation: methodology and application in agricultural economics, Rev, Mktg agric. Econ. Sydney, 42:3.
American Society of Agronomy, 1982, Predicting tillage effects on soil physical properties and processes. Special Publication Number 44, ASA Madison.
Baier, W., 1971, An agroclimatic probability study of the economics of fallow-seeded and continuous spring wheat in southern Saskatchewan, Agric. Meteorol., 9:305.
Berndt, R. D., and White, B. J., 1976, A simulation-based evaluation of three cropping systems on cracking-clay soils in a summer-rainfall environment, Agric. Meteorol., 16:211.
Bolton, F. E., 1981, Optimizing the use of water and nitrogen through soil and crop management, in: “Soil Water and Nitrogen in Mediterranean-type Environments”, J. L. Monteith and C. Webb, eds., Nijhoff/Junk, The Hague.
de Wit, C. T., 1982, Simulation of living systems, in; “Simulation of Plant Growth and Crop Production”, F. W. T. Penning de Vries and H. H. van Laar, eds., Pudoc, Wageningen.
French, R. J., 1978, The effect of fallowing on the yield of wheat. II. The effect on grain yield, Aust. J. agric. Res., 29:669.
Greb, B. W., 1979, Technology and wheat yields in the central Great Plains. Commercial advances, J. Soil Wat. Conserv., 34:269.
Greb, B. W., Smika, D. E., and Walsh, J. E., 1979, Technology and wheat yields in the central Great Plains, J. Soil Wat. Conserv., 34:264.
Hammer, G. L., and McKeon, G. M., 1983, Evaluating the effect of climatic variability on management of dryland agricultural systems in north-eastern Australia, in: “Need for Climatic and Hydrologie Data in Agriculture of Southeast Asia”, UN Univ. Workshop, 12–15 December 1983, Canberra.
Kohn, G. D., and Storrier, R. R., 1970, Time of sowing and wheat production in southern New South Wales, Aust. J. exp. Agric. Anim. Husb., 10:604.
Monteith, J. L., 1981, Epilogue: themes and variations, in: “Soil Water and Nitrogen in Mediterranean-type Environments”, J. L. Monteith and C. Webb, eds., Nijhoff/Junk, The Hague.
Nix, H. A., and Fitzpatrick, E. A., 1969, An index of crop water stress related to wheat and grain sorghum yields, Agric. Meteorol., 6:321.
Passioura, J. B., 1973, Sense and nonsense in crop simulation, J. Aust. Inst. agric. Sci., 39:181.
Penning de Vries, F. W. T., 1982, Systems analysis and models of crop growth, in: “Simulation of Plant Growth and Crop Production”, F. W. T. Penning de Vries and H. H. van Laar, eds., Pudoc, Wageningen.
Perrin, R. K., Winklemann, D. L., Moscardi, E. R., and Anderson, J. R., 1976, From agronomic data to farmer recommendations. Information Bulletin 27, International Maize and Wheat Improvement Centre, Mexico.
Rabbinge, R., 1982, Pests, diseases and crop production, in: “Simulation of Plant Growth and Crop Production”, F. W. T. Penning de Vries and H. H. van Laar, eds., Pudoc, Wageningen.
Smika, D. E., 1970, Summer fallow for dryland winter wheat in the semi-arid Great Plains, Agron. J., 62:15.
Stapper, M., Harris, H. C., and Smith, R. C. G., 1983, Risk analysis of wheat yields in relation to cultivar maturity type and climatic variability in semi-arid areas, using a crop growth model, in: “Need for Climatic and Hydrologie Data in Agriculture of Southeast Asia”, Un Univ. Workshop, 12–15 December 1983, Canberra.
Teng, P. S., and Gaunt, R. E., 1980, Modelled systems of disease and yield loss in cereals, Agric. Syst., 6:131.
Yaron, D., Strateener, G., Shimshi, D., and Welsbrod, M., 1974, Wheat response to soil moisture and the optimal irrigation policy under conditions of unstable rainfall, Water Resour. Res., 9:1145.
Zadoks, J. C., 1981, EPIPRE: a disease and pest management system for winter wheat developed in The Netherlands, EPPO Bull., 11:365.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1985 Springer Science+Business Media New York
About this chapter
Cite this chapter
Fischer, R.A. (1985). The Role of Crop Simulation Models in Wheat Agronomy. In: Day, W., Atkin, R.K. (eds) Wheat Growth and Modelling. NATO ASI Science, vol 86. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-3665-3_23
Download citation
DOI: https://doi.org/10.1007/978-1-4899-3665-3_23
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4899-3667-7
Online ISBN: 978-1-4899-3665-3
eBook Packages: Springer Book Archive