Best linear unbiased prediction of additive genetic merit using a combined-merit sire and dam model for marker-assisted selection

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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.<br>

収録刊行物

  • Genes & genetic systems

    Genes & genetic systems 73(1), p.65-69, 1998-02

    The Genetics Society of Japan

参考文献:  19件中 1-19件 を表示

被引用文献:  5件中 1-5件 を表示

各種コード

  • NII論文ID(NAID)
    10003762160
  • NII書誌ID(NCID)
    AA11077421
  • 本文言語コード
    ENG
  • 資料種別
    ART
  • ISSN
    13417568
  • NDL 記事登録ID
    4474119
  • NDL 雑誌分類
    ZR1(科学技術--生物学)
  • NDL 請求記号
    Z53-W539
  • データ提供元
    CJP書誌  CJP引用  NDL  J-STAGE 
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