Integrated crop-livestock simulation models for scenario analysis and impact assessment

Abstract Despite the fact that many smallholder farming systems in developing countries revolve around the interactions of crop and livestock enterprises, the modelling of these systems using combinations of detailed crop and livestock models is comparatively under-developed. A wide variety of separate crop and livestock models exists, but the nature of crop–livestock interactions, and their importance in smallholder farming systems, makes their integration difficult. Even where there is adequate understanding of the biophysical processes involved, integrated crop–livestock models may be constrained by lack of reliable data for calibration and validation. The construction from scratch of simulation models that meet the needs of one particular case is generally too costly to countenance. As for all modelling activity, the most efficient way to proceed depends on the nature of the systems under study and the precise questions that have to be addressed. We outline a framework for the integration of detailed biophysical crop and livestock simulation models. We highlight the need for minimum calibration and validation data sets, and conclude by listing various research problems that need attention. The application of robust and trustworthy crop–livestock models is critical for furthering the research agenda associated with animal agriculture in the tropics and subtropics.

[1]  Mario Herrero Modelling dairy grazing systems : an integrated approach , 1998 .

[2]  J. McIntire,et al.  Crop-livestock interaction in Sub-Sarahan Africa , 1992 .

[3]  David R. Lee,et al.  An Optimization Model of the Dual-Purpose Cattle Production System in the Humid Lowlands of Venezuela , 1994 .

[4]  James F. Oehmke,et al.  Science under scarcity , 1996 .

[5]  M. Freer,et al.  GRAZPLAN: Decision support systems for Australian grazing enterprises—I. Overview of the GRAZPLAN project, and a description of the MetAccess and LambAlive DSS , 1997 .

[6]  W. Parton,et al.  Analysis of factors controlling soil organic matter levels in Great Plains grasslands , 1987 .

[7]  P. V. Soest,et al.  A net carbohydrate and protein system for evaluating cattle diets: II. Carbohydrate and protein availability. , 1992, Journal of animal science.

[8]  J. H. M. Thornley,et al.  A model of nitrogen flows in grassland , 1989 .

[9]  J. B. Dent,et al.  The role of biological simulation models in farming systems research , 1988 .

[10]  James Hansen,et al.  Realizing the potential benefits of climate prediction to agriculture: issues, approaches, challenges , 2002 .

[11]  David G. Mayer,et al.  Use of advanced techniques to optimize a multi-dimensional dairy model , 1996 .

[12]  H. Blackburn,et al.  A forage dynamics model for use in range or pasture environments , 1989 .

[13]  C. Solano,et al.  Some aspects of the decision-making process by Costa Rican Farmers: 2 - Who makes farming decisions? , 2001 .

[14]  John R. Fairweather,et al.  Goals and Management Styles of New Zealand Farmers , 1994 .

[15]  H. van Keulen,et al.  Options for agricultural development: a case study for Mali’s fifth Region , 1993 .

[16]  J. Mclnerney,et al.  OLD ECONOMICS FOR NEW PROBLEMS ‐LIVESTOCK DISEASE: PRESIDENTIAL ADDRESS , 1996 .

[17]  J. J. Stoorvogel,et al.  USTED: a methodology for a quantitative analysis of land use scenarios. , 1995 .

[18]  D. L. Scarnecchia,et al.  Tropical Pasture Utilisation , 1991 .

[19]  J. McDermott,et al.  The economics of optimal health and productivity in smallholder livestock systems in developing countries. , 1999, Revue scientifique et technique.

[20]  I. Deary,et al.  Links between psychological factrs and farmer decision making , 1996 .

[21]  J. B. Dent,et al.  Integrating simulation models to optimise nutrition and management for dairy farms: a methodology. pp. 322-326. In: Livestock Farming Systems: Research, Development, Socio-Economics and the Land Manager. Dent, J.B. et al (Eds.). , 1996 .

[22]  Claude B. Courbois,et al.  Livestock to 2020: The Next Food Revolution , 2001 .

[23]  I. Gordon,et al.  Prediction of intake and digestion in ruminants by a model of rumen kinetics integrating animal size and plant characteristics , 1991, The Journal of Agricultural Science.

[24]  P. Thornton,et al.  Estimating millet production for famine early warning: an application of crop simulation modelling using satellite and ground-based data in Burkina Faso , 1997 .

[25]  Armstrong Khoza,et al.  Monitoring and Evaluating Agricultural Research , 1994 .

[26]  J. Stuth,et al.  RSPM: a resource systems planning model for integrated resource management. , 1990 .

[27]  A. Pacey,et al.  Farmer first: Farmer innovation and agricultural research , 1989 .

[28]  J. B. Dent,et al.  The Plant/Animal Interface in Models of Grazing Systems , 2018, Agricultural Systems modeting and Simulation.

[29]  Patricia M. Kristjanson,et al.  MEASURING THE COSTS OF AFRICAN ANIMAL TRYPANOSOMOSIS, THE POTENTIAL BENEFITS OF CONTROL AND RETURNS TO RESEARCH , 1999 .

[30]  J. Powell,et al.  Livestock and sustainable nutrient cycling in mixed farming systems of sub-Saharan Africa : proceedings of an international conference, International Livestock Centre for Africa (ILCA) Addis Ababa, Ethiopia, 22-26 November 1993 , 1994 .

[31]  G. Fahey,et al.  Forage Quality, Evaluation, and Utilization , 1994 .

[32]  H. Udo,et al.  Design and validation of an animal traction module for a smallholder livestock systems simulation model. , 1993 .

[33]  W. Parton,et al.  A general model for soil organic matter dynamics: sensitivity to litter chemistry, texture and management. , 1994 .

[34]  R. Bruce Curry,et al.  Agricultural Systems modeting and Simulation , 1997 .

[35]  R. Rabbinge,et al.  Long-Term Options for Land Use in the European Community , 1992 .

[36]  G. Hoogenboom,et al.  Understanding Options for Agricultural Production , 1998, Systems Approaches for Sustainable Agricultural Development.

[37]  A. de Jager,et al.  Monitoring nutrient flows and economic performance in African farming systems (NUTMON); I Concepts and methodologies , 1998 .

[38]  B. Cottrill,et al.  Energy and protein requirements of ruminants: an advisory manual prepared by the AFRC Technical Committee on Responses to Nutrients , 1993 .

[39]  R L Baldwin,et al.  Metabolism of the lactating cow: II. Digestive elements of a mechanistic model , 1987, Journal of Dairy Research.

[40]  J. B. Dent,et al.  Applications of Systems Approaches at the Farm and Regional Levels Volume 1 , 1997, Systems Approaches for Sustainable Agricultural Development.

[41]  P. Thornton,et al.  Methods of economic impact assessment. , 1999, Revue scientifique et technique.

[42]  D. M. Jansen,et al.  A static, descriptive approach to quantify land use systems , 1995 .

[43]  K. Shepherd,et al.  Soil fertility management in west Kenya: dynamic simulation of productivity, profitability and sustainability at different resource endowment levels , 1998 .

[44]  P. Thornton,et al.  Ecoregional Research at ILRI: Background , 1998 .

[45]  G. Ferreira,et al.  Evolutionary approach to farming decision making on extensive rangelands , 1998 .

[46]  Paul Teng,et al.  Systems approaches for agricultural development , 1993, Systems Approaches for Sustainable Agricultural Development.

[47]  J. B. Dent,et al.  Bio-economic evaluation of dairy farm management scenarios using integrated simulation and multiple-criteria models , 1999 .

[48]  S. Maobe,et al.  Monitoring nutrient flows and economic performance in African farming systems (NUTMON); III. monitoring nutrient flows and balances in three districts in Kenya , 1998 .

[49]  Luís Ferreira,et al.  An evolutionary approach to decision-making in distribution planning , 1997 .

[50]  C. Sere,et al.  World livestock production systems. Current status, issues and trends , 1995 .

[51]  James Hansen,et al.  Towards data standards for enterprise and farm-level analysis , 1997 .

[52]  J. B. Dent,et al.  The role of systems research in grazing management: applications to sustainable cattle production in Latin America , 1997 .

[53]  J. B. Dent,et al.  Modelling the growth and utilisation of kikuyu grass (Pennisetum clandestinum) under grazing. 1. Model definition and parameterisation. , 2000 .

[54]  O. Castelán-Ortega Decision support system for campesino maize-cattle production systems of the Toluca Valley in Central Mexico , 2000 .

[55]  W. Parton,et al.  A multi-species model for rangeland plant communities , 1988 .

[56]  Philip K. Thornton,et al.  Risk assessment and food security , 1998 .