Abstract
The applicability of models in addressing resource management issues in agriculture has been widely promoted by the research community, yet examples of real impacts of such modelling efforts on current farming practices are rare. Nevertheless, simulation models can compliment traditional field experimentation in researching alternative management options. The first objective of this paper is, therefore, to provide four case study examples of where models were used to help research issues relating to improved nutrient efficiency in low-input cropping systems. The first two cases addressed strategies of augmenting traditional farming practices with small applications of chemical fertilizer (N and P). The latter two cases explicitly addressed the question of what plant genetic traits can be beneficial in low-nutrient farming systems. In each of these case studies, the APSIM (Agricultural Production Systems Simulator) systems model was used to simulate the impacts of alternative crop management systems.
The question of whether simulation models can assist the research community in contributing to purposeful change in farming practice is also addressed. Recent experiences in Australia are reported where simulation models have contributed to practice change by farmers. Finally, current initiatives aimed at testing whether models can also contribute to improving the nutrient efficiency of smallholder farmers in the SAT are discussed.
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References
Asseng S, Fillery I R P. Anderson G C, Dolling P J, Dunin F X and Keating B A 1998 Use of the APSIM wheat model to predict yield, drainage and NO3 leaching in a deep sand. Aust. J. Agric. Res, 49, 363–377.
Carberry P S and Bange M P 1998 Using systems models in farm management. In Proc. 9th Aust. Cotton Conf. 10–14 August, Gold Coast Australia. The Australian Cotton Growers Research Organisation, 153–160.
Carberry P S, McCown R L, Muchow R C, Dimes J P, Probert M E, Poulton P L and Dalgliesh N P 1996a Simulation of a legume ley farming system in northern Australia using the Agricultural Production Systems Simulator. Aust. J. Exp. Agric. 36, 1037–1048.
Carberry P S, Adiku S G K, McCown R L and Keating B A 1996b Application of the APSIM cropping systems model to intercropping systems. In Dynamics of Roots and Nitrogen in Cropping Systems of the Semi-Arid Tropics. Eds. O Ito, C Johansen, J J Adu-Gyamfi, K Katayama, J V D K Kumar Rao and T J Rego, pp. 637–648. Japan International Research Center for Agricultural Sciences, International Agricultural Series No 3.
Cooper M and Hammer G L (Eds) 1996 Plant Adaptation and Crop Improvement. CAB International, 1CRISAT and IRRI, Wallingford, UK. 636 pp.
Courts J A, Hochman Z, Foale M A, McCown R L and Carberry P S 1998 Evaluation of participative approaches to RD and E: A case study of FARMSCAPE. Proceedings of the 9th Australian Society of Agronomy Conference: pp. 681–682 Australian Society of Agronomy: Wagga Wagga, NSW
Fukai S (Ed.) 1993 Intercropping — bases of productivity. (Special issue) Field Crops Res 34, 239–467.
Hammer G L, Carberry P S and Stone R 2000 Comparing the value of seasonal climate forecasting systems in managing cropping systems. In Applications of Seasonal Climate Forecasting in Agricultural and Natural Ecosystems — The Australian Experience. Eds. Hammer GL, Nicholls N and Mitchell C, pp. 183–195. Kluwer Academic Publishers, Dordrecht, The Netherlands.
Ikombo B M, 1984 Effects of farmyard manure and fertilizers on maize in semi-arid areas of Eastern Kenya. East. Afr. Agric. For. J. 44, 266–274.
Jackson P, Robertson M J, Cooper M and Hammer GL 1996 The role of physiological understanding in plant breeding: From a breeding perspective. Field Crops Res. 49, 11–37
Keating B A and Meinke H 1998 Assessing exceptional drought with a cropping systems simulator: A case study for grain production in north-east Australia. Agric. Syst. 57, 315–332.
Keating B A, Carberry P S and Robertson M J, 1999 Simulating N fertilizer response in low-input farming systems 2. Effects of weed competition. ESA Symposium on “Modelling Cropping Systems”, Spain. June 1999.
Kirk G J D 1999 Modelling root-induced solubilization of nutrients. In Food Security in Nutrient-Stressed Environments: Exploiting Plants’ Genetic Capabilities, Summary and Recommendations of an International Workshop, 27–30 Sep 1999, ICRISAT, Patancheru India. Ed. JJ Adu-Gyamfi, pp. 62–63. ICRISAT and JIRCAS, Patancheru.
Meinke H, Carberry P S, Cleugh H, Poulton P L and Hargreaves J N G H 2O01 Modelling crop growth and yield under the environmental changes induced by windbreaks 1. Model development and validation. Agroforestry Syst (in press).
McCown R L, Keating B A, Probert M E and Jones R K, 1992. Strategies for sustainable crop production in semi-arid Africa. Outlook Agric. 21, 21–31.
McCown R L and Cox P G 1994 Agric Syst research in Africa and Australia: Some recent developments in methodology. In Soil Fertility and Climatic Constraints in Dryland Agriculture. Eds. E T Craswell and J Simpson, pp. 125–133. Australian Centre for International Agricultural Research, Canberra.
McCown R L, Hammer G L, Hargreaves J N G, Holzworth D P and Freebairn D M, 1996 APSIM: A novel software system for model development, model testing, and simulation in agricultural research. Agric. Syst. 50, 255–271.
McCown R L, Carberry P S, Foalc M A, Hochman Z, Coutts J A and Dalgliesh N P 1998 The FARMSCAPE approach to farming systems research. Proceedings of the 9th Australian Society of Agronomy Conference. Eds. D L Michalk and J E Pratley, pp. 633–636. Australian Society of Agronomy: Wagga Wagga, NSW.
Muchow and Bellamy J A (Eds) 1991 Climatic risk in crop production: Models and management in the semiarid tropics and subtropics. CAB International, Wallingford, UK. 548 pp.
Nelson R A, Dimes J P, Paningbatan E P and Silburn D M, 1998 Erosion/productivity modelling of maize farming in the Philippine uplands. Part I: Parameterising the Agricultural Production Systems Simulator. Agric. Syst. 58, 129–146.
Nye P H and Tinker P B 1977 Solute Movement in the Soil-Root System. Blackwell Scientific Publications: Oxford.
Probert M E and Okalebo J R 1992 Effects of phosphorus on the growth and development of maize. In A Search for Strategies for Sustainable Dryland Cropping in Semi-arid Eastern Kenya. Ed. M E Probert, pp. 55–62. ACIAR Proceedings No. 41. Australian Centre for International Agricultural Research, Canberra.
Probert M E, Okalebo J R and Jones R K 1995 The use of manure on smallholders’ farms in semi-arid eastern Kenya. Exp. Agric. 31, 371–381.
Probert M E, Dimes J P, Keating B A, Dalai R C and Strong W M 1997 APSIM’s water and nitrogen modules and simulation of the dynamics of water and nitrogen in fallow systems. Agric. Syst. 56, 1–26.
Probert M E, Carberry P S, McCown R L and Turpin J E 1998 Simulation of legume-cereal systems using APSIM. Aust. J. Agric. Res. 49, 317–327.
Robertson M J, Carberry P S and Lucy M 2000a Evaluation of a new cropping option using a participatory approach with on-farm monitoring and simulation: A case study of spring-sown mungbeans. Aust. J. Agric. Res. 51, 1–12.
Robertson M J, Carberry P S, Wright G C and Singh D P 2000b Using models to assess the value of traits of food legumes from a cropping systems perspective. In International Food Legumes Conference September 1997. Ed. R L Knight, pp. 265–278. Adelaide, Australia.
Rötter R and Van Keulen H 1997 Variations in yield response to fertilizer application in the tropics: II. Risks and opportunities for smallholders cultivating maize on Kenya’s arable land. Agric. Syst. 53, 69–95.
Shamudzarira Z, Robertson M J, Mushayi P T, Keating B A, Waddington S, Chiduza C and Grace P 1999
Simulating N fertilizer response in low-input farming systems 1. Fertilizer recovery and crop response. ESA Symposium on “Modelling Cropping Systems”, Spain, June 1999.
Shapiro B I, Osborne D and Ahmed M, 1999 Ex-ante impact assessment and economic analysis of breeding for nutrient efficiency and alternate strategies, a conceptual model and research issues: The socio-economists’ view. In Food Security in Nutrient-Stressed Environments: Exploiting Plants’ Genetic Capabilities, Summary and Recommendations of an International Workshop, 27–30 Sep 1999
ICRISAT, Patancheru India. Ed. JJ Adu-Gyamfi. pp. 24–26. ICRISAT and JIRCAS, Patancheru
Tanner P D and Mugwira L 1984 Effectiveness of communal area manures as sources of nutrients for young maize plants. Zimb Agric J 81, 31–35.
Willey R W I979a Intercropping — its importance and research needs. Part 1. Competition and yield advantages. Field Crop Abst. 32, 1–10.
Willey R W 1979b Intercropping — its importance and research needs. Part 2. Agronomy and research approaches. Field Crop Abst. 32. 73–85.
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Carberry, P.S., Probert, M.E., Dimes, J.P., Keating, B.A., McCown, R.L. (2002). Role of modelling in improving nutrient efficiency in cropping systems. In: Adu-Gyamfi, J.J. (eds) Food Security in Nutrient-Stressed Environments: Exploiting Plants’ Genetic Capabilities. Developments in Plant and Soil Sciences, vol 95. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-1570-6_34
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DOI: https://doi.org/10.1007/978-94-017-1570-6_34
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