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• W1577041031 abstract "Data quality has always a profound effect on the result of statistical analyses, and international genetic comparisons are no exceptions. Main factors affecting data quality in this context are completeness and accuracy of data recording and pedigree information, and methods of estimation of breeding values on the national level. Currently, there is large variation in the procedures applied in national genetic evaluations, both in terms of model specification and computational methods. Thus, breeding values used in the Interbull routine evaluation of Holstein bulls in February 1999 originated from multiple-trait test-day animal models (AM) and lactational AM, as well as single-trait lactational repeatability AM and sire models, represented by two, three, fourteen, and two countries, respectively. Also, heritabilities used in the national evaluations ranged from 0.23 to 0.42. Differences in national genetic evaluation models may be one source of variation contributing to differences between countries, indicated by genetic correlations of less than unity in international comparisons. Such effects would, however, be difficult to isolate from true GxE interactions in the framework of MACE. Nevertheless, changes over time in correlations between countries could be used to study the impact of different models when concurrent changes in national evaluations have occurred. Major changes in national evaluation models during the last couple of years have, depending on the nature of the changes, been seen to both decrease and to increase correlations. Changes in national models do not only affect correlations with other countries, but also sire variance estimates and selection differentials within and across countries. Changing genetic parameters may have considerable impact on the international ranking of bulls. For example, decreasing correlations of any country with the rest would result in more domestic bulls on the top of the local scale list, but less bulls from this country on the top of foreign scale lists. Such and other changes are used to illustrate the impact of national genetic evaluation changes on international comparisons." @default.
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• W1577041031 date "1999-01-01" @default.
• W1577041031 modified "2023-09-24" @default.
• W1577041031 title "Impact of national genetic evaluation models on international comparisons" @default.
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