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Use of single nucleotide polymorphisms in candidate genes associated with daughter pregnancy rate for prediction of genetic merit for reproduction in Holstein cows
Author(s) - 
Ortega M. S., 
Denicol A. C., 
Cole J. B., 
D. J., 
Hansen P. J.
Publication year - 2016
Publication title - 
animal genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 81
eISSN - 1365-2052
pISSN - 0268-9146
DOI - 10.1111/age.12420
Subject(s) - biology , single nucleotide polymorphism , snp genotyping , snp , genetics , fertility , population , candidate gene , genotyping , gene , genotype , medicine , environmental health
Summary  We evaluated 69  SNP s in genes previously related to fertility and production traits for their relationship to daughter pregnancy rate ( DPR ), cow conception rate ( CCR ) and heifer conception rate ( HCR ) in a separate population of Holstein cows grouped according to their predicted transmitting ability (PTA) [≤−1 ( n  =   1287) and ≥1.5 ( n  =   1036)] for  DPR . Genotyping was performed using Sequenom Mass ARRAY  ® . There were a total of 39  SNP s associated with the three fertility traits. The  SNP s that explained the greater proportion of the genetic variation for  DPR  were   COQ 9  (3.2%),   EPAS 1  (1.0%),   CAST   (1.0%),  C7H19orf60  (1.0%) and   MRPL 48  (1.0%); for  CCR  were   GOLGA 4  (2.4%),   COQ 9  (1.8%),   EPAS 1  (1.1%) and   MRPL 48  (0.8%); and for  HCR  were   HSD 17B7  (1.0%),   AP 3B1  (0.8%),   HSD 17B12  (0.7%) and   CACNA 1D  (0.6%). Inclusion of 39  SNP s previously associated with  DPR  in the genetic evaluation system increased the reliability of PTA for  DPR  by 0.20%. Many of the genes represented by  SNP s associated with fertility are involved in steroidogenesis or are regulated by steroids. A large proportion of  SNP s previously associated with genetic merit for fertility in Holstein bulls maintained their association in a separate population of cows. The inclusion of these genes in genetic evaluation can improve reliabilities of genomic estimates for fertility.
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