Volume 12, Issue 32 (7-2021)
Res Anim Prod 2021, 12(32): 140-149 |
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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. Res Anim Prod. 12(32), 140-149. doi:10.52547/rap.12.32.140
URL: http://rap.sanru.ac.ir/article-1-1162-en.html
URL: http://rap.sanru.ac.ir/article-1-1162-en.html
Raoof Shakeri1, Arash Javanmard *1, Karim Hasanpur1, Mokhtarali Abbasi2, S. mostafa Mazlom3, Majid Khansefid4, Mehran Rahimi Varposhti5
1- Department of Animal Science, Faculty of Agriculture, University of Tabriz, Tabriz, Iran
2- Animal Science Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO) Iran
3- Department of Animal Science, Faculty of Agriculture, University of Ferdowsi, Mashhad
4- Agri Bioscience, Agriculture Victoria Services, Bundoora, VIC, Australia
5- M.Sc Animal Genetics and Breeding, CEO Arian Delta Gene Company, Tehran, Iran
2- Animal Science Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO) Iran
3- Department of Animal Science, Faculty of Agriculture, University of Ferdowsi, Mashhad
4- Agri Bioscience, Agriculture Victoria Services, Bundoora, VIC, Australia
5- M.Sc Animal Genetics and Breeding, CEO Arian Delta Gene Company, Tehran, Iran
Abstract: (2899 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.
Type of Study: Research |
Subject:
ژنتیک و اصلاح نژاد دام
Received: 2020/12/11 | Accepted: 2021/02/20
Received: 2020/12/11 | Accepted: 2021/02/20
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