Efficiency of genomic selection in an established commercial layer breeding program

Area of Science:

• Animal Breeding and Genetics
• Poultry Science
• Genomics

Background:

• Conventional layer breeding relies on phenotypic data, which can be enhanced by genomic information.
• Genomic data offers potential for improved selection accuracy and reduced generation intervals in layer breeding programs.
• Modeling a typical four-line cross layer breeding program was conducted to compare strategies.

Purpose of the Study:

• To compare the effectiveness of a conventional breeding program with two genomic selection strategies for layers.
• To determine the optimal implementation strategy for genomic information in layer breeding.
• To evaluate the impact of genomic selection on genetic gain and economic profit.

Main Methods:

• Deterministic modeling using ZPLAN+ software to simulate breeding programs.
• Comparison of a non-genomic reference scenario with two genomic scenarios (Scenario I and II).
• Variation in the number of genotyped male candidates (800-4800) and calibration set sizes (500 or 2000 animals) were analyzed.

Main Results:

• Both genomic scenarios increased expected genetic gain and economic profit compared to the conventional program.
• Scenario II, with a reduced generation interval (8 months), showed a more pronounced increase, achieving up to 60% improvement in genetic gain and economic profit.
• Increased breeding costs were associated with all genomic scenarios.

Conclusions:

• Genomic selection offers substantial potential for improving genetic gain in layer breeding.
• The decision to implement genomic selection is a business consideration for breeding companies.
• Profitability depends on customer willingness to pay for enhanced genetic quality in breeding stock.