Person:
Sevane Fernández, Natalia

Profile Picture
First Name
Natalia
Last Name
Sevane Fernández
URI
https://hdl.handle.net/20.500.14352/80476
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Veterinaria
Department
Producción Animal
Area
Producción Animal
Identifiers
UCM identifierORCIDScopus Author IDDialnet IDGoogle Scholar ID

Filters

20191
Reset filters

Settings

Author: Cañón Ferreras, Francisco Javier × Subject: 61 ×

Search Results

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    Comparison of diversity parameters from SNP, microsatellites and pedigree records in the Lidia cattle breed
    (Livestock Sicence, 2019) Eusebi, Paulina; Cañón Ferreras, Francisco Javier; Dunner Boxberger, Helene Susana; Cortés Gardyn, Óscar; Sevane Fernández, Natalia
    Genetic drift, loss of heterozygosity and decrease in genetic variability are consequences of high rates of inbreeding over generations. High density single nucleotide polymorphisms arrays offered new possibilities to estimate inbreeding coefficients more accurately than those from pedigree records or microsatellites genotypes. In the present study different inbreeding coefficients were estimated and compared from SNP data: (1) runs of homozygosity of different length (>1Mb, > 4Mb, > 8Mb and > 16Mb), (2) inbreeding coefficients based on the observed vs. expected number of homozygous genotypes and (3) standardized observed homozygosity, from pedigree records and from three microsatellite derived diverse metrics. SNP inbreeding coefficients ranging from 0.14 to 0.26 and shown correlations ≥ 0.84 among them. The correlation among SNP and pedigree inbreeding coefficients was moderate ranged from 0.37 to 0.5 and low than the expected correlation. The limited pedigree depth of the Lidia cattle breed as revealed the average number of equivalent complete generations (5.5) probably explain that the higher correlation coefficient with pedigree records was with the runs of homozygosity of high length (>16Mb). Also, the absence of identity disequilibrium on our molecular data could explain the moderate correlation values (0.43–0.54 in absolute values) among microsatellite derived metrics and SNP inbreeding coefficients.