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Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
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Genetic contributions and their optimization.

J A Woolliams1, P Berg, B S Dagnachew

  • 1The Roslin Institute and R(D)SVS, University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, UK.

Journal of Animal Breeding and Genetics = Zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie
|April 1, 2015
PubMed
Summary
This summary is machine-generated.

This study presents optimum contribution technology, a method for maximizing genetic gain while managing inbreeding and genetic variation loss in animal breeding programs. It details practical applications and theoretical developments, including genomic selection.

Keywords:
breeding programgenetic contributiongenetic gaingenomic selectioninbreedingoptimal contributions

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Area of Science:

  • Quantitative genetics
  • Animal breeding
  • Genomic selection

Background:

  • Genetic contributions, formalized in 1958, offer a unifying framework for gain and inbreeding theories.
  • Existing methods aim to balance genetic gain with inbreeding management and genetic variation preservation.

Purpose of the Study:

  • To develop and adapt optimum contribution technology for practical selection protocols.
  • To explore the integration of genomic selection and genomic inbreeding control within this framework.

Main Methods:

  • Theoretical development of optimum contribution selection.
  • Adaptation of the technology for diverse breeding scenarios (e.g., overlapping generations, multistage selection).

Main Results:

  • Demonstration of optimum contribution technology's adaptability to practical selection protocols.
  • Extension of the theory to incorporate genomic selection and genomic inbreeding control.

Conclusions:

  • Optimum contribution technology provides an effective framework for balancing genetic gain and inbreeding management.
  • The framework is versatile and can be extended to include genomic information for enhanced breeding outcomes.