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Shortcomings of current genetic evaluation systems

R M Bourdon1

  • 1Department of Animal Sciences, Colorado State University, Fort Collins 80523, USA.

Journal of Animal Science
|October 22, 1998
PubMed
Summary

Genetic evaluation in livestock can be improved using sire selection by simulation, a multiple-trait selection technology. This approach offers advantages over traditional methods by incorporating bioeconomic simulation for customized producer needs.

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Area of Science:

  • Animal breeding and genetics
  • Agricultural science
  • Quantitative genetics

Background:

  • Current genetic evaluation in beef cattle and sheep industries focuses on individual trait predictions.
  • Wise use of genetic predictions requires broader multiple-trait selection technology, ideally customized for producers.
  • Existing research emphasizes economic selection indexes within breeds, which are complicated by complex genetic and environmental interactions.

Purpose of the Study:

  • To introduce and detail a novel multiple-trait selection technology: sire selection by simulation.
  • To highlight the advantages of bioeconomic simulation over traditional selection indexes.
  • To discuss the necessary changes in research priorities and industry relationships for implementing customized genetic technologies.

Main Methods:

  • Utilizing bioeconomic simulation to calculate economic weights, thereby mitigating issues from complex interactions.
  • Developing sire selection by simulation as a multiple-trait selection technology.
  • Translating current within-breed genetic predictions to predictions of a mechanistic concept of genetic potential.

Main Results:

  • Sire selection by simulation offers enhanced functionality and appeal compared to traditional selection indexes.
  • Bioeconomic simulation provides a mechanistic approach to calculate economic weights, addressing interaction complexities.
  • The proposed technology allows for customized genetic selection tailored to individual producer needs.

Conclusions:

  • Sire selection by simulation represents a significant advancement in multiple-trait selection technology for the livestock industry.
  • Adoption requires academic breeders to embrace the concept of mechanistic genetic potential and restructure research-industry collaborations.
  • Successful implementation hinges on adapting research priorities and business models to support customized, simulation-based genetic evaluation.

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