Genetic variability in a Holstein population using SNP markers and their use for monitoring mating strategies

Autores/as

  • Kathy Scienski Texas A&M University, College Station. Interdisciplinary Program in Genetics. Texas, USA. Texas A&M University. Department of Animal Science, Texas, USA. Università degli Studi di Milano. Department of Veterinary Medicine, Via Trentacoste 2, 20134 Milano, Italy.
  • Angelo Ialacci Università degli Studi di Milano. Department of Veterinary Medicine, Via Trentacoste 2, 20134 Milano, Italy.
  • Alessandro Bagnato Department of Veterinary Medicine, Università degli Studi di Milano, Via Trentacoste 2, 20134 Milano, Italy
  • Davide Reginelli Università degli Studi di Milano. Azienda Agraria Didattico Sperimentale Angelo Menozzi, Landriano, Pavia, Italy.
  • Marina Durán-Aguilar Universidad Autónoma de Querétaro. Facultad de Ciencias Naturales. Querétaro. México.
  • Maria Giuseppina Strillacci Università degli Studi di Milano. Department of Veterinary Medicine, Via Trentacoste 2, 20134 Milano, Italy. http://orcid.org/0000-0002-8972-1730

DOI:

https://doi.org/10.22319/rmcp.v10i3.4842

Palabras clave:

SNP genotypes, Holstein-Friesian, Inbreeding, Runs of homozygosity, Herd management

Resumen

As genotyping costs continue to decrease, the demand for genotyping has increased among farmers. In most livestock herds, an important issue is controlling the increase in inbreeding coefficient. While this remains a large motive to genotype, producers are often unaware of the other benefits that genotyping could bring. The aim of this study was to demonstrate that SNP chips could be used as an effective herd management tool by utilizing a population of Italian Holstein-Friesian cattle. After filtering, the total number of animals and SNPs retained for analyses were 44 and 27,365, respectively. The principal component analyses (PCA) were able to identify a sire and origin-of-sire effect within the herd, while determining that sires do not influence individual genomic selection index values. The inbreeding coefficients calculated from genotypes (FIS) provided a glimpse into the herd’s heterozygosity and determined that the genetic variability is being well maintained. On the other hand, inbreeding coefficients on the genomic level were deduced from runs of homozygosity (FROH) and were compared to the inbreeding coefficients based on pedigree (FPED). Furthermore, 1,950 runs of homozygosity (ROH) were identified with the average length of ROH being 4.66 Mb. Genes and QTL within the genomic regions most commonly associated (top 1% and top 5% of SNP) with ROH were characterized. These results indicate that genotyping small herds, albeit at low-density, provides insights to the genetic variability within the herd and thus allows producers the ability to manage their stock from a genetic standpoint.

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Biografía del autor/a

Maria Giuseppina Strillacci, Università degli Studi di Milano. Department of Veterinary Medicine, Via Trentacoste 2, 20134 Milano, Italy.

Veterinary Medicine Department

Publicado

11.09.2019

Cómo citar

Scienski, K., Ialacci, A., Bagnato, A., Reginelli, D., Durán-Aguilar, M., & Giuseppina Strillacci, M. (2019). Genetic variability in a Holstein population using SNP markers and their use for monitoring mating strategies. Revista Mexicana De Ciencias Pecuarias, 10(3), 643–663. https://doi.org/10.22319/rmcp.v10i3.4842
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