Genes & Genetic Systems
Online ISSN : 1880-5779
Print ISSN : 1341-7568
ISSN-L : 1341-7568
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Best linear unbiased prediction of additive genetic merit using a combined-merit sire and dam model for marker-assisted selection
Seiko SaitoHirokazu MatsudaHiroaki Iwaisaki
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1998 年 73 巻 1 号 p. 65-69

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Herein we develop the sire and dam model counterpart of the combined-merit animal model (CM-AM) method for marker-assisted best linear unbiased prediction (BLUP) of breeding values, and thus for marker-assisted selection. With the current procedure, a specific data-structure, such as that of carcass traits in meat animals, is assumed in order that the solutions may be equivalent to those in the CM-AM method. The resulting system of mixed model equations becomes compact with the total additive genetic merit considered, and with non-parent animal equations absorbed, relative to the CM-AM method. Hence, the current procedure is expected to be useful for marker-assisted BLUP of breeding values for particular quantitative traits, especially in large outbreeding populations with complex pedigrees where the fraction of non-parents is high. A numerical illustration is given using data on carcass weight in beef cattle.

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© 1998 by The Genetics Society of Japan
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