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Testing frequency-based methods of genic selection in addition to genomic selection in goats
I Palhiere1, V Gousseau2, J J Colleau3
1Genphyse, Universite de Toulouse, INRAE, ENVT, 31320 Castanet-Tolosan, France.
This study introduces a new genic selection method for animal breeding that optimizes genetic gain and controls inbreeding without needing exact economic values for each gene. The approach proved effective in a goat breeding program, showing substantial genetic responses for key genes.
Area of Science:
- Animal breeding and genetics
- Quantitative genetics
- Genomic selection
Background:
- Genic selection is a tool in breeding schemes that can impact genetic gain and inbreeding.
- Assigning economic values to genes for genic selection can be challenging due to uncertainty.
- Existing breeding schemes require methods for genic selection that balance genetic gain and inbreeding without precise economic valuations.
Purpose of the Study:
- To propose and evaluate a genic selection method that operates without assigning economic values to individual genes.
- To optimize genic selection within user-defined constraints for genetic gain and inbreeding rates.
- To assess the effectiveness of this method in a practical breeding program with uncertain economic assessments.
Main Methods:
- Developed a genic selection framework constrained by maximum annual genetic gain and inbreeding rates.
- Investigated five methods for increasing favorable allele frequencies via genic selection.
- Applied simulated annealing to optimize sire contributions for favorable allele frequency in progeny.
- Tested the methods on a French Saanen goat breeding dataset involving six genes.
Main Results:
- Substantial genic responses were observed for three out of six genes studied.
- Limited or no response was seen for other genes due to high initial favorable allele frequencies or unfavorable gene associations.
- The proposed method demonstrated the potential for significant allele frequency optimization under defined constraints.
- Negative responses were prevented, adhering to breeding scheme objectives.
Conclusions:
- The developed genic selection method is effective for optimizing allele frequencies without precise economic valuations.
- This approach offers a practical solution for breeding organizations facing uncertainty in gene economic assessment.
- The method can be integrated into existing breeding schemes to manage genetic gain and inbreeding effectively.
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