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[Animal model and multiple trait BLUP applied in poultry genetic evaluation]
Yi Chuan Xue Bao = Acta Genetica Sinica
|January 1, 1989
Summary
Best linear unbiased prediction (BLUP) is now applicable to poultry breeding. This method efficiently estimates genetic values, improving selection accuracy and reducing costs in avian populations.
Area of Science:
- Animal Genetics
- Quantitative Genetics
- Poultry Science
Context:
- Best linear unbiased prediction (BLUP) is a standard for genetic value estimation in livestock.
- Its application in poultry has been limited due to computational demands.
- Beijing White Leghorn data from 1986-1987 (777 individuals) were analyzed.
Purpose:
- To adapt and optimize the multiple trait BLUP method for poultry.
- To develop efficient computational strategies for large-scale mixed model equations.
- To make BLUP a viable tool for avian genetic improvement.
Summary:
- An animal model and multiple trait BLUP were used to analyze egg production and egg weight.
- Computational efficiency was achieved by storing sparse matrices and using block iteration.
- This simplified the multiple trait BLUP, reducing equation dimensions and saving compute time.
Impact:
- BLUP is now applicable to poultry, enabling more accurate genetic evaluations.
- Facilitates elimination of fixed effects and reduces estimation errors with unbalanced data.
- Enhances selection accuracy by considering genetic correlations and utilizing all available pedigree information.