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Автор Sigurdsson, Agust
Автор Banos, Georgios
Дата выпуска 1995
dc.description AbstractStochastic simulation was used to assess the suitability of alternative dependent variables in international sire evaluation. Three such variables were considered: daughter yield deviations (DYD), national proofs (ETA), and de-regressed national proofs (DPRF). Data from two dairy cattle populations considering 10 generations were simulated. Genetic ties necessary for a joint evaluation of the two populations were established with bull exchange in each generation. De-regressed national proofs were the best and ETA were the worst in estimating genetic difference between the two populations and ranking bulls across country. Further, de-regressed national proofs can be easily computed and, contrary to DYD, are always available. De-regressed national proofs are recommended as dependent variables in across country sire evaluation.
Формат application.pdf
Издатель Taylor & Francis Group
Копирайт Copyright Taylor and Francis Group, LLC
Тема daughter yield deviations
Тема de-regressed proofs
Тема genetic evaluation
Название Dependent Variables in International Sire Evaluations
Тип research-article
DOI 10.1080/09064709509413079
Electronic ISSN 1651-1972
Print ISSN 0906-4702
Журнал Acta Agriculturae Scandinavica, Section A – Animal Science
Том 45
Первая страница 209
Последняя страница 217
Аффилиация Sigurdsson, Agust; INTERBULL Centre, Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences
Аффилиация Banos, Georgios; INTERBULL Centre, Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences
Выпуск 4
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