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Simulating rotational grazing management.

M J Cros1, M Duru, F Garcia

  • 1Unité de Biométrie et Intelligence Artificielle, INRA, Auzeville, Castanet-Tolosan, France.

Environment International
|November 8, 2001
PubMed
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Managing rotational dairy grazing systems is complex. SEPATOU, a new simulation tool, aids farmers by modeling management strategies to improve profitability and decision-making for grazing operations.

Area of Science:

  • Agricultural Science
  • Systems Ecology
  • Decision Support Systems

Background:

  • Rotational grazing dairy systems present significant management challenges.
  • Profitability in these systems hinges on effective organization, planning, and farmer capability.

Purpose of the Study:

  • To develop a simulation-based decision support system (SEPATOU) for managing rotational grazing dairy systems.
  • To model farmer decision-making behavior and its impact on system dynamics.

Main Methods:

  • SEPATOU utilizes discrete-event simulation to model daily farmer decisions and biophysical system responses.
  • Models incorporate grass growth, animal consumption, and milk production dynamics.
  • The system evaluates tentative management strategies under various hypothetical weather conditions.

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Main Results:

  • SEPATOU allows for the evaluation and comparison of different management strategies.
  • The system assesses strategy effectiveness by analyzing impacts on the biophysical system and variability.
  • Key management activities modeled include conserved feed, fertilization, harvesting, and grazing field selection.

Conclusions:

  • SEPATOU offers a rigorous approach to modeling and supporting management decisions in rotational grazing dairy systems.
  • The tool is intended for use by extension services and farming system scientists to enhance operational efficiency and profitability.