Recent progress in genomic prediction for Hanwoo cattle and its implications for beef quality: review

Area of Science:

• Animal Genetics
• Quantitative Genetics
• Beef Cattle Breeding

Background:

• Hanwoo cattle (HC) are prized for superior marbling and flavor.
• Genetic improvement programs in HC focus on enhancing carcass and meat quality traits.
• Genomic selection (GS) is crucial for accelerating genetic gain in HC breeding.

Purpose of the Study:

• To review the application of genomic prediction (GP) methods for improving Hanwoo beef quality.
• To analyze breeder interest in GS for selecting optimal prediction models for specific traits.
• To provide a resource for leveraging Hanwoo's genetic potential in the Korean beef industry.

Main Methods:

• Review of existing literature on genomic prediction (GP) methods.
• Analysis of GP's effectiveness compared to traditional pedigree-based best linear unbiased prediction (PBLUP).
• Evaluation of GP for carcass and meat quality traits in Hanwoo cattle.

Main Results:

• Genomic selection (GS) offers superior prediction accuracy over PBLUP for Hanwoo cattle.
• Various GP methods have demonstrated success in improving carcass and meat quality traits.
• Choosing the right GP model is vital, depending on the trait's genetic architecture.

Conclusions:

• Genomic selection (GS) is indispensable for accelerating genetic gain and improving meat quality in Hanwoo cattle.
• GP methods are essential for optimizing breeding programs and increasing profitability.
• This review serves as a guide for Hanwoo breeders in selecting appropriate GP strategies.