[Animal gene pyramiding in cross populations]

Area of Science:

• Animal breeding and genetics
• Quantitative genetics
• Bioinformatics

Context:

• Gene pyramiding aims to consolidate desirable traits into a single individual through strategic crossbreeding.
• Traditional animal crossbreeding programs face challenges in efficiently pyramiding multiple genes.

Purpose:

• To evaluate and compare different gene pyramiding strategies, including various cross programs and selection methods.
• To identify optimal parameters such as population size, allele frequency, and heritability for efficient gene pyramiding.

Summary:

• Simulations assessed gene pyramiding efficiency using population hamming distance, superior genotype frequencies, and phenotypic values across different schemes (II, III, IV-S, IV-C).
• Larger base population size and higher initial favorable allele frequencies significantly enhanced pyramiding efficiency.
• Genotypic selection proved superior to phenotypic selection for accelerating gene pyramiding, with parent crossing order being critical in cascading but not symmetric crosses.

Impact:

• Provides a framework and simulation platform for comparing gene pyramiding schemes and selection strategies in animal breeding.
• Informs the design of optimal breeding programs for faster development of animals with superior economic traits.