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Development and evaluation of an integrated simulation model for assessing smallholder crop-livestock production in Yucatán, Mexico

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Author Info

  • Parsons, David
  • Nicholson, Charles F.
  • Blake, Robert W.
  • Ketterings, Quirine M.
  • Ramírez-Aviles, Luis
  • Fox, Danny G.
  • Tedeschi, Luis O.
  • Cherney, Jerome H.
Registered author(s):

    Abstract

    Mixed farming systems constitute a large proportion of agricultural production in the tropics, and provide multiple benefits for the world's poor. However, our understanding of the functioning of these systems is limited. Modeling offers the best approach to quantify outcomes from many interacting causal variables in these systems. The objective of this study was to develop an integrated crop-livestock model to assess biophysical and economic consequences of farming practices exhibited in sheep systems of Yucatán state, Mexico. A Vensim(TM) dynamic stock-flow feedback model was developed to integrate scientific and practical knowledge of management, flock dynamics, sheep production, partitioning of nutrients, labor, and economic components. The model accesses sheep production and manure quantity and quality data generated using the Small Ruminant Nutrition System (SRNS), and interfaces on a daily basis with an Agricultural Production Systems Simulator (APSIM) model that simulates weather, crop, and soil dynamics. Model evaluation indicated that the integrated model adequately represents the complex interactions that occur between farmers, crops, and livestock.

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    File URL: http://www.sciencedirect.com/science/article/B6T3W-519XSY9-2/2/4d30c15c67438570934ec74971c81a25
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    Bibliographic Info

    Article provided by Elsevier in its journal Agricultural Systems.

    Volume (Year): 104 (2011)
    Issue (Month): 1 (January)
    Pages: 1-12

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    Handle: RePEc:eee:agisys:v:104:y:2011:i:1:p:1-12

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    Web page: http://www.elsevier.com/locate/agsy

    Related research

    Keywords: Crop-livestock interactions Crop-livestock systems Milpa Sheep Shifting cultivation System dynamics;

    References

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    1. Herrero, M. & Gonzalez-Estrada, E. & Thornton, P.K. & Quiros, C. & Waithaka, M.M. & Ruiz, R. & Hoogenboom, G., 2007. "IMPACT: Generic household-level databases and diagnostics tools for integrated crop-livestock systems analysis," Agricultural Systems, Elsevier, vol. 92(1-3), pages 240-265, January.
    2. McCown, R. L. & Hammer, G. L. & Hargreaves, J. N. G. & Holzworth, D. P. & Freebairn, D. M., 1996. "APSIM: a novel software system for model development, model testing and simulation in agricultural systems research," Agricultural Systems, Elsevier, vol. 50(3), pages 255-271.
    3. van Ittersum, Martin K. & Ewert, Frank & Heckelei, Thomas & Wery, Jacques & Alkan Olsson, Johanna & Andersen, Erling & Bezlepkina, Irina & Brouwer, Floor & Donatelli, Marcello & Flichman, Guillermo & , 2008. "Integrated assessment of agricultural systems - A component-based framework for the European Union (SEAMLESS)," Agricultural Systems, Elsevier, vol. 96(1-3), pages 150-165, March.
    4. van Wijk, Mark T. & Tittonell, Pablo & Rufino, Mariana C. & Herrero, Mario & Pacini, Cesare & Ridder, Nico de & Giller, Ken E., 2009. "Identifying key entry-points for strategic management of smallholder farming systems in sub-Saharan Africa using the dynamic farm-scale simulation model NUANCES-FARMSIM," Agricultural Systems, Elsevier, vol. 102(1-3), pages 89-101, October.
    5. Probert, M. E. & Dimes, J. P. & Keating, B. A. & Dalal, R. C. & Strong, W. M., 1998. "APSIM's water and nitrogen modules and simulation of the dynamics of water and nitrogen in fallow systems," Agricultural Systems, Elsevier, vol. 56(1), pages 1-28, January.
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    7. Donnelly, J. R. & Freer, M. & Salmon, L. & Moore, A. D. & Simpson, R. J. & Dove, H. & Bolger, T. P., 2002. "Evolution of the GRAZPLAN decision support tools and adoption by the grazing industry in temperate Australia," Agricultural Systems, Elsevier, vol. 74(1), pages 115-139, October.
    8. Moore, A.D. & Holzworth, D.P. & Herrmann, N.I. & Huth, N.I. & Robertson, M.J., 2007. "The Common Modelling Protocol: A hierarchical framework for simulation of agricultural and environmental systems," Agricultural Systems, Elsevier, vol. 95(1-3), pages 37-48, December.
    9. Patrick Smith, F. & Holzworth, Dean P. & Robertson, Michael J., 2005. "Linking icon-based models to code-based models: a case study with the agricultural production systems simulator," Agricultural Systems, Elsevier, vol. 83(2), pages 135-151, February.
    10. Thornton, P. K. & Herrero, M., 2001. "Integrated crop-livestock simulation models for scenario analysis and impact assessment," Agricultural Systems, Elsevier, vol. 70(2-3), pages 581-602.
    11. Gradiz, L. & Sugimoto, A. & Ujihara, K. & Fukuhara, S. & Kahi, A.K. & Hirooka, H., 2007. "Beef cow-calf production system integrated with sugarcane production: Simulation model development and application in Japan," Agricultural Systems, Elsevier, vol. 94(3), pages 750-762, June.
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    Cited by:
    1. Pacín, Fernando & Oesterheld, Martín, 2014. "In-farm diversity stabilizes return on capital in Argentine agro-ecosystems," Agricultural Systems, Elsevier, vol. 124(C), pages 51-59.

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