Some abstracts do not have video files because ASAS was denied recording rights.

359
Understanding the genetic archticture of Hays Converter Cattle

Friday, July 22, 2016: 12:30 PM
Grand Ballroom I (Salt Palace Convention Center)
Mohammed K Abo-Ismail , Animal and Poultry Production, Damanhour University, Damanhour, Egypt
Razie Khorshidi , Livestock Gentec, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
Everestus C. Akanno , Livestock Gentec, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
John Crowley , Canadian Beef Breeds Council, Calgary, AB, Canada
Stephen P Miller , AgResearch Limited, Mosgiel, New Zealand
Allison Fleming , Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada
John Basarab , Livestock Gentec, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
Changxi Li , Livestock Gentec, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
Paul Stothard , Livestock Gentec, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
Graham Plastow , Livestock Gentec, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
Audio File Recorded Presentation (mp4)
Abstract Text:

The Hays Converter (HC) was the first Canadian breed to be recognized in terms of the Canadian Livestock Pedigree Act and combines the genetics of the Hereford, Holstein and Brown Swiss breeds. Although, the improvement program has continued there is now a risk to its sustainability. The objective of this study is to utilize genomic tools to assess genetic diversity and inbreeding within the HC population. Historical samples for 265, 238, and 208 animals born between 1973 and 2015 have been genotyped for 19K (19,792 SNPs,), 6K (6,829 SNPs) and Illumina BovineSNP50 (50K, 49,100 SNPs), respectively. A total of 49,100 SNPs across 29 autosomes that passed all quality control criteria were considered for imputation of the target populations with 19k (7,496 SNPs) and with 6k (6,253 SNPs) using FImpute. The actual and imputed genotypes were filtered for 702 animals and 41,734 SNPs across 29 autosomes passed quality control. Using only actual 50K genotypes of 208 animals, the genetic structure of the HC population was assessed in conjunction with individuals genotyped for Illumina BovineSNP50 from Angus (AN, n=486), Hereford (HE, n=591) and Holstein (HO, n=32) breeds using principal component analysis (PCA). The genomic inbreeding coefficients for individuals within HC were estimated using pedigree information and 4 genomic methods. The genetic distances between animals within each population were calculated based on their genomic profile using Prevosti Distance. Although, the PCA indicated that the HC breed is genetically divergent from Holstein, Hereford and Angus, it was more closely related to Holstein cattle than the other breeds. Genomic inbreeding coefficients using imputed or actual genotypes indicated that the HC is inbred over years particularly from 1993 till 2005. Thus, this indicates a smaller effective population size for the HC population at that time. The result from genetic distance and phylogeny of the HC population indicated existence of sub populations within the HC. In conclusion, the study showed an increase of inbreeding within HC breeds so that managing inbreeding and maximizing diversity is required to avoid inbreeding depression. The observed diversity will influence HC design for future mate allocation using genomic information.

Keywords: Genetic structure, Inbreeding, Illumina BovineSNP50 chip, Hays Converter beef cattle

See more of: Breeding and genetics: Novel traits and selection objectives
See more of: Breeding and Genetics
<< Previous Abstract | Next Abstract

American Society of Animal Science, PO Box 7410, Champaign, IL 61826-7410 E-mail: asas@asas.org, Ph. 217.356.9050, Fax 217.689.2436 All pages Copyright © 2012 ASAS. All Rights Reserved.