Modelling of an Extensive Cattle Breeding Farm on Basaltic Soils

Authors

  • Francisco Dieguez Cameroni Instituto Plan Agropecuario, Bulevar Artigas 3802, 11700 Montevideo, Uruguay.
  • Pierre Bommel CIRAD, UPR Green, Montpellier, France, & Universidade de Brasilia, Brasil.
  • Jorge Corral Universidad de la República. Facultad de Ingeniería. Julio Herrera y Reissig 565, 11300 Montevideo, Uruguay.
  • Danilo Bartaburu Instituto Plan Agropecuario, Bulevar Artigas 3802, 11700 Montevideo, Uruguay.
  • Marcelo Pereira Instituto Plan Agropecuario, Bulevar Artigas 3802, 11700 Montevideo, Uruguay.
  • Esteban Montes Instituto Plan Agropecuario, Bulevar Artigas 3802, 11700 Montevideo, Uruguay.
  • Emilio Duarte Instituto Plan Agropecuario, Bulevar Artigas 3802, 11700 Montevideo, Uruguay.
  • Hermes Morales Grosskopf Instituto Plan Agropecuario, Bulevar Artigas 3802, 11700 Montevideo, Uruguay.

DOI:

https://doi.org/10.31285/AGRO.17.547

Keywords:

model, simulation, etensive beef production, basaltic soils

Abstract

Simulation models can be considered as learning tools, according to the idea of «flight simulator», where users would benefit by experimenting with possible realities, even more if they are built with the potential stakeholders in a participatory way. The IPA (Agricultural Planning Institute) developed a model to represent an extensive breeder cattle farm on a representative basaltic soil: the MEGanE (Model of an Extensive Stock Breeding Farm). The results of the simulation, both for forage production and zootechnics, show great consistency with national research information. Also, the MEGanE was able to reproduce a known drought crisis, with results consistent with a possible reality. The MEGanE has been designed to exchange concepts, with variables easily understood by potential users.

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Published

2012-12-01

How to Cite

1.
Dieguez Cameroni F, Bommel P, Corral J, Bartaburu D, Pereira M, Montes E, et al. Modelling of an Extensive Cattle Breeding Farm on Basaltic Soils. Agrocienc Urug [Internet]. 2012 Dec. 1 [cited 2024 Jul. 4];16(2):120-3. Available from: http://mail.revista.asocolderma.org.co/index.php/agrociencia/article/view/547

Issue

Section

Social Science
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