Kazeem O. Rauff^1*, Rasaq Bello²

Show more
¹ Federal University Kashere, Kashere, Nigeria.
² University of Port Harcourt, Port Harcourt, Nigeria.
Show less

Abstract: The Earth’s land resources are finite, whereas the number of people that the land must support increases rapidly, this situation has been a great concern in the area of agriculture. Crop production must be increased to meet the rapidly growing food demands through sophisticated agricultural processes, while it is important to protect other natural resources and the environment. New agricultural research is needed to provide additional information to farmers, policy makers and other decision makers on how to accomplish sustainable agriculture over the wide variations in climate change around the world. Therefore many researchers have over the years shown interest in finding ways to estimate the yield of crops before harvest. This paper reviews some of the crop growth models that have been successfully developed and used over time. The applications of crop growth models in agricultural meteorology, the role that climate changes play in these models and few of the successfully used crop models in agro-meteorology are also discussed in detail.

Keywords: Simulate, Aggregation, Automated Stations, Solar Radiation, Policy Management

Cite this paper: O. Rauff, K. and Bello, R. (2015) A Review of Crop Growth Simulation Models as Tools for Agricultural Meteorology. Agricultural Sciences, 6, 1098-1105. doi: 10.4236/as.2015.69105.

References

[1]   Murthy, V.R.K. (2002) Basic Principles of Agricultural Meteorology. Book Syndicate Publishers, Koti, Hyderabad.

[2]   Foken, T. (2008) Micrometeorology. Springer-Verlag, Berlin Heidelberg, 306 p.

[3]   Hann, J.F. and Süring, R. (1939) Lehrbuch der Meteorologie. Verlag von Willibald Keller, Leipzig, 480 p.

[4]   Dutton, J.A. (2002) The Ceaseless Wind: An Introduction to the Theory of Atmospheric Motion. Dover Publications, Mineola, 640 p.

[5]   Glickman, T.S., Ed. (2000) Glossary of Meteorology. American Meteorological Society, Boston, 855 p.

[6]   Kraus, H. (2004) Die Atmosphäre der Erde. Springer, Berlin Heidelberg, 422 p.

[7]   Arya, S.P. (2001) Introduction to Micrometeorology. Academic Press, San Diego, 415 p.

[8]   Houghton, D.D. (1985) Handbook of applied meteorology. Wiley, New York, 1461 p.

[9]   Hupfer, P. and Kuttler, W., Eds. (2005) Witterung und Klima, begründet von Ernst Heyer. B. G. Teubner, Stuttgart, Leipzig, 554 p.
http://dx.doi.org/10.1007/978-3-322-96749-7

[10]   Kraus, H. (2004) Die Atmosphäre der Erde. Springer, Berlin Heidelberg, 422 p.

[11]   Sivakumar, M.V.K. and Glinni, A.F. (2002) Applications of Crop Growth Models in the Semiarid Regions. In: Ahuja, L.R., Ma, L. and Howell, T.A., Eds., Agricultural System Models in Field Research and Technology Transfer, Lewis Publishers, CRC Press Company, Boca Raton, 177-205.
http://dx.doi.org/10.1201/9781420032413.ch9

[12]   Kiniry, J.R. and Bockholt, A.J. (1998) Maize and Sorghum Simulation in Diverse Texas Environments. Agronomy Journal, 90, 682-687.
http://dx.doi.org/10.2134/agronj1998.00021962009000050018x

[13]   Kiniry, J.R., Rosenthal, W.D., Jackson, B.S. and Hoogenboom, G. (1991) Predicting Leaf Development of Crop Plants. In: Hodges, T., Ed., Predicting Crop Phenology, CRC Press, Boca Raton, 29-42.

[14]   Boggess, W.G. and Amerling, C.B. (1983) A Bioeconomic Simulation Analysis of Irrigation Environments. S.J. Agric. Econ, 15, 85-91.

[15]   Van Keulen, H. and Wolf, J. (Eds.) (1986) Modelling of Agricultural Production: Weather, Soils and Crops. Simulation Monographs. PUDOC, Wageningen.

[16]   Hammer, G.L., Hoizworth, D.P., Mulo, S. and Wade, L.J. (1989) Modeling Adaptation and Risk of Production of Grain Sorghum in Australia. In: Foale, M.A., Hare, B.W. and Henzell, R.G., Eds., Proceedings of the Australian Sorghum Workshop, Toowoomba, 28 February-1 March 1989, Australian Institute of Agricultural Science, Brisbane, 257-267.

[17]   Shorter, R., Lawn, R.J. and Hammer, G.L. (1991) Improving Genotypic Adaptation in Crops—A Role for Breeders, Physiologists and Modelers. Experimental Agriculture, 27, 155-175.
http://dx.doi.org/10.1017/S0014479700018810

[18]   Sinclair, T.R. (1986) Water and Nitrogen Limitations in Soybean Grain Production. I. Model development. Field Crops Research, 15, 125-141.
http://dx.doi.org/10.1016/0378-4290(86)90082-1

[19]   Muchow, R.C., Sinclair, T.R. and Bennett, J.M. (1990) Temperature and Solar Radiation Effects on Potential Maize Yield across Locations. Agronomy Journal, 82, 338-343.
http://dx.doi.org/10.2134/agronj1990.00021962008200020033x

[20]   Hammer, G.L. and Muchow, R.C. (1994) Assessing Climatic Risks to Sorghum Production in Water Limited Subtropical Environment. I. Development and Testing of a Simulation Model. Field Crops Research, 36, 221-234.
http://dx.doi.org/10.1016/0378-4290(94)90114-7

[21]   Amissah-Arthur, A. and Jagtap, S.S. (1995) Application of Models and Geographic Information System Based Decision Support System in Analysis the Effect of Rainfall on Maize Yield Stability. Sustain Africa, 3, 2-15.

[22]   Hammer, G.L., Sinclair, T.R., Boote, K.J., Wright, G.C., Meinke, H. and Bell, M.J. (1995) A Peanut Simulation Model: I. Model Development and Testing.

[23]   Monteith, J.L. (2000) Agricultural Meteorology: Evolution and Application. Agricultural and Forest Meteorology, 103, 5-9.
http://dx.doi.org/10.1016/s0168-1923(00)00114-3

[24]   de Wit, C.T. (1967) Photosynthesis: Its Relationship to Overpopulation. In: San Pietro, A., Green, F.A. and Army, T.J., Eds., Harvesting the Sun, Academic Press, New York, 315-320.

[25]   de Wit, C.T. and Goudriaan, J. (1978) Simulation of Assimilation, Respiration and Transpiration of Crops. Simulation Monograph. PUDOC, Wageningen.

[26]   O’Toole, J.C. and Stockle, C.O. (1987) The Role of Conceptual and Simulation Modelling in Plant Breeding. Presented at the International Symposium on Improving Winter Cereals under Temperature and Soil Salinity Stresses, Cordoba, 26-29 October 1987, 9.

[27]   Hunt, L.A. (1993) Designing Improved Plant Types: A Breeders View Point. In: de Vries, F.P., Teng, P. and Metselaar, K., Eds., Systems Approaches for Agricultural Development, Springer, Dordrecht, 3-17.

[28]   Kropff, M.J., Haverkort, A.J., Aggarwal, P.K. and Kooman, P.L. (1995) Using Systems Approaches to Design and Evaluate Ideotypes for Specific Environments. In: Bouma, J., Kuyvenhoven, A., Bouman, B.A.M., Luyten, J.C. and Zandstra, H.G., Eds., Eco-Regional Approaches for Sustainable Land Use and Food Production, Kluwer Academic Publishers, Dordrecht, 417-435.
http://dx.doi.org/10.1007/978-94-011-0121-9_21

[29]   de Wit, C.T. (1965) Photosynthesis of Leaf Canopies. Agricultural Research Report No. 663. PUDOC, Wageningen.

[30]   Kramm, G., Dlugi, R. and Mölders, N. (2002) Sublayer-Stanton Numbers of Heat and Matter for Aerodynamically Smooth Surfaces: Basic Considerations and Evaluations. Meteorology and Atmospheric Physics, 79, 173-194.
http://dx.doi.org/10.1007/s007030200002

[31]   Linneman, H., Dehoogh, J., Keyzer, M.A. and van Heemst, H.D.J. (1979) Moira, Model of International Relations in Agriculture. North Holland Publishing Company, Amsterdam.

[32]   de Wit, C.T., Brouwer, R. and Penning de Vries, F.W.T. (1970) The Simulation of Photosynthetic Systems. In: Setlik, I., Ed., Prediction and Measurement of Photosynthetic Productivity, Proceedings of International Biological Program/Plant Production Technical Meeting, Trebon, PUDOC, Wageningen, 47-70.

[33]   Penning de Vries, F.W.T., Brunsting, A.B. and van Laar, H.H. (1974) Products, Requirements and Efficiency of Biological Synthesis, a Quantitative Approach. Journal of Theoretical Biology, 45, 339-377.
http://dx.doi.org/10.1016/0022-5193(74)90119-2

[34]   Goudriaan, J. (1977) Crop Micrometeorology: A Simulation Study. Simulation Monograph. PUDOC, Wageningen.