Volume 12, Issue 32 (7-2021)                   rap 2021, 12(32): 140-149 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Shakeri R, Javanmard A, Hasanpur K, Abbasi M, Mazlom S M, Khansefid M et al . (2021). Assessment of Genetic Diversity Within Holstein Population using Bovine SNP Chip Data. rap. 12(32), 140-149. doi:10.52547/rap.12.32.140
URL: http://rap.sanru.ac.ir/article-1-1162-en.html
Department of Animal Science, Faculty of Agriculture, University of Tabriz, Tabriz, Iran
Abstract:   (2537 Views)
Historically, both significant decline of genetic diversity and simultaneously increasingly rate of inbreeding are two serious threaded factors in worldwide dairy industry. With this motivation, the aim of present report was to investigate the intra genetic diversity criteria (linkage disequribrium, observed and expected heterozygosity, Fis statistics, MAF distribution, autozygosity rate and population stratification using principal component analysis) in Holstein cattle population using dense markers. An Illumina Bovine 50k SNP Chip (V2) ready genotyped file for 25 Holstein cows obtained for further investigation. Here, we used Plink software for statistical analysis and measurement of molecular diversity indices. Observed outcomes results addressed average of MAF (0.28), mean frequency of observed and expected heterozygosity (0.38, 0.37), Fis statistic (– 0.032), Fhom statistic (-0.028-0328. In addition, PCA graph showed a significant indicating high population diversity, which was in accordance with all other calculated parameters. As a final conclusion, high-density SNP markers seems be as an accurate tool applicable for high-precision intra-diversity analyses.
Full-Text [PDF 1317 kb]   (789 Downloads)    
Type of Study: Research | Subject: ژنتیک و اصلاح نژاد دام
Received: 2020/12/11 | Revised: 2021/08/31 | Accepted: 2021/02/20 | Published: 2021/08/31

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Research On Animal Production

Designed & Developed by : Yektaweb