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Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
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  9. Agricultural Production Systems Simulation
  11. Simulation Approaches Used For Management And Decision Making In The Beef Production Sector: A Systematic Review

Simulation Approaches Used for Management and Decision Making in the Beef Production Sector: A Systematic Review

Tek Raj Awasthi1, Ahsan Morshed2, Thomas Williams1

  • 1School of Health Medical and Applied Sciences, CQUniversity, Rockhampton North, QLD 4701, Australia.

Animals : an Open Access Journal From MDPI
|June 19, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

This systematic review provides an overview of beef production simulation studies. Research shows a growing interest, with most studies focusing on biophysical or bioeconomic aspects and productivity.

Area of Science:

  • Agricultural Science
  • Animal Science
  • Systems Modeling

Background:

  • Simulation models are crucial tools in agriculture for understanding complex systems and aiding decision-making.
  • The beef production sector has seen diverse simulation research, but a comprehensive overview was lacking.

Purpose of the Study:

  • To systematically review and provide an overview of simulation studies in beef production.
  • To understand the various simulation approaches and methodologies employed in the field.

Main Methods:

  • A systematic literature search was conducted across Scopus, Web of Science, and ProQuest Central databases up to June 2023.
  • 105 studies focusing on beef cattle simulation were analyzed for publication year, country, study type, scope, focus area, scenarios, validation, and software.
Keywords:
beef productiondecision makinglivestock systemsmodelling

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Main Results:

  • Research interest in beef production simulation is increasing globally, with a concentration in North America and Europe.
  • The majority of studies (84.76%) are biophysical or bioeconomic, predominantly using deterministic approaches (n=42).
  • Most studies adopt a whole-farm scope (38.09%) and target productivity (51.43%).

Conclusions:

  • Less than half of the reviewed studies reported validation techniques and software used.
  • Improving the availability of information on model validation and software is essential for effective adoption in decision-making processes.
simulation
systematic review