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Colorado State University, Fort Collins 80523
Abstract
Two of the major challenges in beef cattle breeding are identifying optimal genotypes for different production environments and producing those genotypes. The traditional approach to identifying optimal genotypes has been experiential and subjective in nature. Computer models provide a more objective method, though one that is neither well proven nor without risk. Computer models also can be useful in designing ways to produce optimal genotypes. They can assist in among-breed selection by simulating mating systems with varying breed inputs. Computer-generated trait weightings can be used to prioritize selection criteria for within-breed selection. In the future, the ability to determine optimal genotypes for commercial cattle will alter the approach seedstock breeders take in making selection decisions. Genetic change in traits related to size and milk production probably will become relatively unimportant, and selection emphasis will shift to adaptability and convenience traits. Breeders will need to adjust to the psychologically difficult task of selecting animals with intermediate performance. Predictability and reduction of genetic risk will become primary concerns. Implications for sire evaluation are discussed.
1 Invited paper presented at the Beef Cattle Session at the 79th Annu. Mtg. of the Am. Soc. of Anim. Sci., July 29, 1987. Utah State Univ., Logan.
2 Funding was provided by Colorado Agric. Exp. Sta. Project No. 1-5607.
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