Abstract

The use of computerized breeding programmes including statistical methods for breeding value estimation is increasing among fur breeders. As the capacity of personal computers has increased, it has become possible to use calculation methods, which utilize most of the available information and thus result in more accurate breeding values. At present, single trait models are used and in most cases the weighting of traits in the final selection and ranking of animals is done on farm basis. The accuracy of animal grading greatly depends on the skill of the breeder and affects the possible gain. However, in traits with more objective information, such as litter size and body weight, the computer systems have proved superior to mass selection. In the future it is important to get more accurate knowledge about the heritability of different traits and to develop models, which can efficiently treat categoric, not normally distributed data. Furthermore, simulation models should be developed and used to estimate the effect of different strategies

O. Lohi, P. Berg

Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume 19. Selection and quantitative genetics; growth; reproduction; lactation; fish; fiber; meat., , 421–427, 1994
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