Publications

Publications (Google Scholar)

1. Zhang, Z., Y. Miar, D. Huyben, and S. M. Colombo. 2023. Omega-3 long chain polyunsaturated fatty acids in Atlantic salmon: Functions, requirements, sources, de novo biosynthesis and selective breeding strategies. Reviews in Aquaculture. (In Press) (link)

2. Hansen L.G., L.E. Larsen, T.B. Rasmussen, Y. Miar, R. Lassuniere, C.S. Jørgensen, and P. Ryt-Hanse. 2023. Investigation of the SARS-CoV-2 post-vaccination antibody response in Canadian farmed mink. Vaccine.  41: 7387-7394. (link)

3. Shirzadifar, A., Y. Miar, G. Plastow, J. Basarab, C. Li, C Fitzsimmons, M. Riyazi, and G. Manafiazar. 2023. A machine learning approach for predicting the most and the least feed efficiency groups in beef cattle. Smart Agricultural Technology. 5: 100317. (link)

4. Hu, G., D.N. Do, G. Manafiazar, A. Kelvin, M. Sargolzaei, G. Plastow, Z. Wang, and Y. Miar. 2023. Population genomics of American mink using genotype data. Frontiers in Genetics. 14: 1175408. (link)

5. Thapa, P.C., D.N. Do, G. Manafiazar, and Y. Miar. 2023. Coat color inheritance in American mink. BMC Genomics. 24: 234. (link)

6. Karimi K., D.N. Do, J. Wang, J. Easley, S. Brozouie, M. Sargolzaei, G.S. Plastow, Z. Wang, and Y. Miar. 2022. A chromosome-level genome assembly reveals genomic characteristics of the American mink (Neogale vison). Communications Biology. 5: 1381. (link)

7. Erinle T., M. Boulianne, Y. Miar, R. Scales, and D. Adewole. 2022. Red osier dogwood and its use in animal nutrition – A Review. Animal Nutrition. 13: 64-77. (link)

8. Hu G., D.N. Do, P. Davoudi, G. Manafiazar, A. Kelvin, G. Plastow, Z. Wang, M. Sargolzaei, and Y. Miar. 2022. Genetic and phenotypic correlations between Aleutian disease tests with body weight, growth, and feed efficiency traits in mink. Journal of Animal Science. 100: 1-14. (link)

9. Al Abri, M.A., O.H. Hanotte, and Y. Miar. eds. (2022). Phenotypic Characterization, Genetics and Genomics of Livestock in Low Input Systems. Lausanne: Frontiers Media SA. (link)

10. Valipour S., K. Karimi, D. Barrett, D.N. Do, G. Hu, M. Sargolzaei, Z. Wang, and Y. Miar. 2022. Genetic and phenotypic parameters for fur quality, and body length and weight traits in American mink. Animals, 12: 3184. (link)

11. Valipour S., K. Karimi, D.N. Do, D. Barrett, M. Sargolzaei, G. Plastow, Z. Wang, and Y. Miar. 2022. Genome-Wide Detection of Selection Signatures for Pelt Quality Traits and Coat Color Using Whole-Genome Sequencing Data in American Mink. Genes, 13: 1939. (link)

12. Do D.N., G. Hu, P. Davoudi, A. Shirzadifar, G. Manafiazar, and Y. Miar. 2022. Applying Machine Learning Algorithms for the Classification of Mink Infected with Aleutian Disease Using Different Data Sources. Animals. 12: 2386-2398. (link)

13. Davoudi P., D.N. Do, B. Rathgeber, S. Colombo, M. Sargolzaei, G. Plastow, Z. Wang, K. Karimi, G. Hu, S. Valipour, and Y. Miar. 2022. Genome-wide detection of copy number variation in American mink using whole-genome sequencing. BMC Genomics, 23: 649-662. (link)

14. Davoudi P., D.N. Do, S. Colombo, B. Rathgeber, and Y. Miar. 2022. Genetics and phenotypic parameters for feed efficiency and component traits in American mink. Journal of Animal Science, 100: 1-10. (link)

15. Davoudi P., D.N. Do, S. Colombo, B. Rathgeber, and Y. Miar. 2022. Application of genetic, genomic, and biological pathways in improvement of swine feed efficiency. Frontiers in Genetics, 13: 903733. (link)

16. Hu G., D.N. Do, P. Davoudi, and Y. Miar. 2022. Emerging roles of Non-coding RNAs in feed efficiency in livestock species. Genes, 13(2): 297. (link)

17. Hu G., D.N. Do, K. Karimi, and Y. Miar. 2021. Genetic and phenotypic parameters for Aleutian disease tests and their correlations with pelt quality, reproductive performance, packed-cell volume, and harvest length in mink. Journal of Animal Science, 99(8): 1-12. (link)

18. Salek Ardestani S., M. Jafarikia, M. Sargolzaei, B. Sullivan, and Y. Miar. 2021. Genomic prediction of growth traits using different genomic tools in Canadian swine populations. Frontiers in Genetics, 12: 665344. (link)

19. Do N. D., G. Hu, S. Salek Ardestani, and Y. Miar. 2021. Genetic and phenotypic parameters for body weights, harvest length and growth curve parameters in American mink. Journal of Animal Science, 99(3): 1-7. (link)

20. Karimi K., D. N. Do, M. Sargolzaei, and Y. Miar. 2021. Population genomics of American mink using whole genome sequencing data. Genes, 12(2): 258. (link)

21. Karimi K., A. H. Farid, S. Myles, and Y. Miar. 2021. Detection of selection signatures for response to Aleutian mink disease virus infection in American mink. Scientific Reports, 11: 2944. (link)

22. Jalil Sarghale A., H. Moradi Shahrebabak, M. Moradi Shahrebabak, A. Nejati Javaremi, M. Saatchi, and Y. Miar. 2021. Genome-wide association studies to identify genome regions associated with methane emission in cattle using 30k panel. Cellular and Molecular Research (Iranian Journal of Biology), 34: 69-82. (link) 

23. Jalil Sarghale A., M. Moradi Shahrebabak, H. Moradi Shahrebabak, A. Nejati Javaremi, M. Saatchi, M. Khansefid, and Y. Miar. 2020. Genome-wide association studies for methane emission and ruminal volatile fatty acids using Holstein cattle sequence data. BMC Genetics, 21: 129. (link)

24. Hu G., D. N. Do, J. Gray, and Y. Miar. 2020. Selection for favorable health traits: A potential approach to cope with diseases in farm animals. Animals, 10(9): 1717. (link)

25. Salek Ardestani S., M. Aminafshar, M. B. Zandi Baghche Maryam, M. H. Banabazi, M. Sargolzaei, and Y. Miar. 2020. A Genome-wide signatures of selection study of Welsh ponies and draft horses revealed five genes associated with horse type variation. Gene Reports, 21: 100833. (link)

26. Salek Ardestani S., M. Aminafshar, M. B. Zandi Baghche Maryam, M. H. Banabazi, M. Sargolzaei, and Y. Miar. 2020. Signatures of selection analysis using whole-genome sequence data revealed novel candidate genes for pony and light horse types. Genome, 63: 387-396. (link)

27. Karimi K., A. H. Farid, M. Sargolzaei, S. Myles, and Y. Miar. 2020. Linkage disequilibrium, effective population size and genomic inbreeding rates in American mink using genotyping-by-sequencing data. Frontiers in Genetics, 11: 223. (link)

28. Salek Ardestani S., M. Aminafshar, M. B. Zandi Baghche Maryam, M. H. Banabazi, M. Sargolzaei, and Y. Miar. 2020. Whole-genome signatures of selection in sport horses revealed selection footprints related to musculoskeletal system development processes. Animals, 10(1): 53. (link)

29. Do N. D., and Y. Miar. 2020. Evaluation of growth curve models for body weight in American mink. Animals, 10(1): 22. (link)

30. Karimi K., M. Sargolzaei, G. S. Plastow, Z. Wang, and Y. Miar. 2019. Opportunities for genomic selection in American mink: a simulation study. PLOS ONE, 14(3): e0213873. (link)

31. Karimi K., M. Sargolzaei, G. S. Plastow, Z. Wang, and Y. Miar. 2018. Genetic and phenotypic parameters for litter size, survival rate, gestation length and litter weight traits in American mink. Journal of Animal Science, 96(7): 2596-2606. (link)

32. Yang T., Z. Wang, Y. Miar, H. L. Bruce, C. Y. Zhang, and G. S. Plastow. 2017. A genome-wide association study of meat color in commercial crossbred pigs. Canadian Journal of Animal Science, 97: 721-733. (link)

33. Miar Y., M. Sargolzaei, and F. S. Schenkel. 2017. A comparison of different algorithms for phasing haplotypes using Holstein cattle genotypes and pedigree data. Journal of Dairy Science, 100: 2837-2849. (link)

34. Zhang C. Y., H. L. Bruce, T. Yang, P. Charagu, R. A. Kemp, N. Boddicker, Y. Miar, Z. Wang, and G. S. Plastow. 2016. Genome wide association studies (GWAS) identify QTL on SSC2 and SSC17 affecting loin peak shear force in crossbred commercial pigs. PLOS ONE, 11(2): e0145082. (link)

35. Miar Y., G. S. Plastow, and Z. Wang. 2015. Genomic selection, a new era for improvement of meat quality. Springer Science Reviews, 3(1): 27-37. (link)

36. Zhang, C. Y., Z. Wang, H. L. Bruce, R. A. Kemp, P. Charagu, Y. Miar, T. Yang and G. S. Plastow. 2015. Genome-wide association studies (GWAS) identify a QTL close to PRKAG3 affecting meat pH and color in crossbred commercial pigs. BMC Genetics, 16: 33. (link)

37. Miar Y., G. S. Plastow, H. L. Bruce, S. S. Moore, G. Manafiazar, P. Charagu, R. A. Kemp, B. Van Haandel, R. B. McKay, A. E. Huisman, C. Y. Zhang, and Z. Wang. 2014. Genetic relationships between performance with meat quality and carcass characteristics in commercial crossbred pigs. PLOS ONE, 9(10): e110105. (link)

38. Miar Y., G. S. Plastow, H. L. Bruce, S. S. Moore, G. Manafiazar, P. Charagu, R. A. Kemp, B. Van Haandel, R. B. McKay, C. Y. Zhang, A. E. Huisman, and Z. Wang. 2014. Genetic and phenotypic parameters for carcass and meat quality traits in commercial crossbred pigs. Journal of Animal Science, 92(7): 2869-2884. (link)

39. Miar Y., G. S. Plastow, H. L. Bruce, S. S. Moore, O. N. Durunna, J. D. Nkrumah, and Z. Wang. 2014. Genetic and phenotypic parameters estimation for ultrasound and carcass merit traits in crossbred beef cattle. Canadian Journal of Animal Science, 94(2): 273-280. (link)

40. Miar Y., A. R. Salehi, D. Kolbehdari, and S. A. Aleyasin. 2014. Applicationof myostatin in sheep breeding: a review. Molecular Biology Research Communications, 3(1): 31-41. (link)

41. Miar Y., A. R. Salehi, S. A. Aleyasin, D. Kolbehdari, and S. Raoofzadeh. 2011. Study of polymorphism in myostatin gene in Chaal, Zel and Zandi Iranian sheep breeds. Iranian Journal of Animal Production (Journal of Agriculture), 13: 33-40. (link)