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An individual-based model simulating goat response variability and long-term herd performance.

L Puillet1, O Martin, D Sauvant

  • 11INRA, UMR 1048 SADAPT, F-75231 Paris, France.

Animal : an International Journal of Animal Bioscience
|March 27, 2012
PubMed
Summary
This summary is machine-generated.

Optimizing goat herd management is key for sustainability. The SIGHMA model shows feeding strategies significantly impact herd efficiency and costs, revealing individual goat variability is crucial for understanding system performance.

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Area of Science:

  • Livestock production systems
  • Animal science
  • Agricultural modeling

Background:

  • System efficiency in livestock production is crucial for sustainability.
  • Individual animal efficiency is highly variable and influenced by management decisions.
  • Understanding these dynamics is essential for optimizing farm output and profitability.

Purpose of the Study:

  • To develop and utilize an individual-based simulation model, SIGHMA, for goat herd management.
  • To analyze the effects of management strategies, particularly feeding, on individual and herd efficiency.
  • To investigate the role of individual variability in herd responses to management.

Main Methods:

  • Developed the Simulation of Goat Herd Management (SIGHMA) model, an individual-based dynamic simulation.
  • Integrated technical operations (replacement, reproduction, feeding) with individual biological processes (energy partitioning, production potential).
  • Conducted sensitivity analysis and virtual experiments on feeding strategies to assess herd and individual performances.

Main Results:

  • Herd efficiency and milk feed costs are primarily influenced by feeding management, followed by herd production potential.
  • Overfeeding increased herd production and decreased feed costs by promoting body reserve accumulation, not feed conversion efficiency.
  • Underfeeding decreased production and slightly reduced feed costs by mobilizing body reserves.

Conclusions:

  • SIGHMA is a valuable tool for studying herd performance drivers and individual variability.
  • Management strategies, especially feeding, significantly affect herd efficiency, with individual responses playing a key role.
  • Quantifying the link between individual variability, herd performance, and management enhances understanding of livestock systems.