Skip to main content

Advertisement

Log in

Role of modelling in improving nutrient efficiency in cropping systems

  • Published:
Plant and Soil Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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, ICRISAT and IRRI, Wallingford, UK. 636 pp.

    Google Scholar 

  • Coutts J A, Hochman Z, Foale M A, McCown R L and Carberry P S 1998 Evaluation of participative approaches to RD&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

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • Meinke H, Carberry P S, Cleugh H, Poulton P L and Hargreaves J N G H 2001 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • McCown R L, Carberry P S, Foale 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • Nye P H and Tinker P B 1977 Solute Movement in the Soil-Root System. Blackwell Scientific Publications: Oxford.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • Probert M E, Dimes J P, Keating B A, Dalal 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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 ef-ficiency 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

    Google Scholar 

  • 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.

    Google Scholar 

  • Willey R W 1979a Intercropping-its importance and research needs. Part 1. Competition and yield advantages. Field Crop Abst. 32, 1-10.

    Google Scholar 

  • Willey R W 1979b Intercropping-its importance and research needs. Part 2. Agronomy and research approaches. Field Crop Abst. 32, 73-85.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to P. S. Carberry.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Carberry, P.S., Probert, M., Dimes, J. et al. Role of modelling in improving nutrient efficiency in cropping systems. Plant and Soil 245, 193–203 (2002). https://doi.org/10.1023/A:1020612416034

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1020612416034

Navigation