Estimation of additive and dominance genetic variances with method R : Application to reproduction traits in Austrian simmental | Cinq paradoxes dans la politique de l'eau
2002
Druet, T.
The use of dominance effects in animal breeding could lead to a more precise estimation of breeding values of reproducers but also to benefit of specific combining abilities through mating programs. The estimation of dominance genetic variance requires the analysis of data sets containing a few hundreds of thousands of records. Method R can work on such large data sets but it can be potentially used for the estimation of variance components in other situations where large data sets are needed. Consequently, this work was aimed at studying some theoretical properties of the method and at the extension of the method towards more complex models in order to develop an efficient variance components estimation program which could handle different models and work with very large data sets. Additive and dominance genetic variances for reproduction traits (fertility and calving performances) of Simmental dairy cows were then estimated. Those results were finally used to determine whether or not inclusion of dominance effects improves accuracy of additive values and if use of dominance effects in mating programs can be achieved
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