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Hinayah Rojas de Oliveira


Position/Title: Post Doctoral Fellow
email: holivier@uoguelph.ca
Phone:
Office: ANNU 016A

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Hinayah obtained her B.Sc. (2014), M.Sc. (2015), and Ph.D. (2018) from the Universidade Federal de Vicosa (UFV), Brazil. During her Ph.D. she had the opportunity to conduct part of her research at the University of Guelph (Canada) and University of Georgia (USA). Hinayah has experience in genetic and genomic analysis of livestock animals in general, with focus on longitudinal traits. Currently she is a postdoctoral researcher at the University of Guelph (Canada) and Purdue University (USA), working under supervision of Drs. Flavio Schenkel, Luiz Brito and Stephen Miller. 

 

Academic History

- Honours B.Sc. in Animal Science (03/2009 – 02/2014), UFV. Advisors: Dr. Robledo Torres and Dr. Ricardo Euclydes.

- M.Sc. in Genetics and Animal Breeding (03/2014 – 07/2015), UFV. Advisor: Dr. Fabyano Silva.

 - Ph.D. in Animal Science with focus on Genetics and Animal Breeding (08/2015 – 12/2018), UFV. Advisor: Dr. Fabyano Silva.

      Period spent abroad:

  1. Centre for Genetic Improvement of Livestock, University of Guelph, Canada. Supervisor: Dr. Flavio Schenkel. 
  2. Department of Animal and Dairy Science, University of Georgia, USA. Supervisor: Dr. Daniela Lourenco. 

 

Important Awards, Scholarships, and Fellowships

10) 2020: Top cited paper award (2018-2019) – Journal of Animal Breeding and Genetics

9) 2019: Mitacs Accelerate Fellowship 

8) 2018: The Academic Mentorship Award, from the Department of Animal Biosciences of the University of Guelph

7) 2018: EAAP 2018 Travel Award

6) 2017: ELAP 2017 Travel Award

5) 2016: Emerging Leaders in the Americas Program (ELAP) scholarship, from the Government of Canada

4) 2015-2018: CAPES Fellowship 

3) 2014-2015: CNPq Fellowship 

2) 2014: Honorable Mention from The Agricultural Sciences Center (Universidade Federal de Vicosa, Brazil) in recognition of her excellent academical performance

1) 2011 – 2013: FAPEMIG Fellowship

 

Featured Publications - First Author

12) Oliveira, H. R., J. C. McEwan, J. H. Jakobsen, T. Blichfeldt, T. H. E. Meuwissen, N. Pickering, S. M. Clarke, L. F. Brito, L. F. Genetic connectedness between Norwegian White Sheep and New Zealand Composite sheep populations with similar development history. Frontiers in Genetics, 04/2020; 371(11). DOI: 10.3389/fgene.2020.00371   

11) Oliveira, H. R., F. S. Schenkel, C. Richardson, F. Miglior, L. F. Brito: PSVIII-19 Meta-analysis of genetic parameter estimates for feed efficiency traits in dairy cattle. Journal of Animal Science, 12/2019; 97(Supplement 3). DOI: 10.1093/jas/skz258.551

10) Oliveira, H. R., D. A. L. Lourenco, Y. Masuda, I. Misztal, S. Tsuruta, J. Jamrozik, L. F. Brito, F. F. Silva, J. Cant, F. S. Schenkel: Single-step genome-wide association for longitudinal traits of Canadian Ayrshire, Holstein, and Jersey dairy cattle. Journal of Dairy Science, 07/2019; 102(11). DOI: 10.3168/jds.2019-16821

9) Oliveira, H. R., J. P. Cant, L. F. Brito, F. L. B. Feitosa, T. C. S. Chud, P. A. S. Fonseca, J. Jamrozik, F. F. Silva, D. A. L. Lourenco, F. S. Schenkel: Genome-wide association for milk production traits and somatic cell score in different lactation stages of Ayrshire, Holstein, and Jersey dairy cattle. Journal of Dairy Science, 06/2019; 102(9). DOI: 10.3168/jds.2019-16451 

8) Oliveira, H. R., L. F. Brito, D. A. L. Lourenco, F. F. Silva, J. Jamrozik, L. R. Schaeffer, F. F. Schenkel: Invited review: Advances and applications of random regression models: From quantitative genetics to genomics. Journal of Dairy Science, 06/2019; 102(9). DOI: 10.3168/jds.2019-16265

7) Oliveira, H. R., L. F. Brito, M. Sargolzaei, F. F. Silva, J. Jamrozik, D. A. L. Lourenco, F. S. Schenkel: Impact of including information from bulls and their daughters in the training population of multiple‐step genomic evaluations in dairy cattle: A simulation study. Journal of Animal Breeding and Genetics, 06/2019; 136(6). DOI: 10.1111/jbg.12407

6) OliveiraH. R., D. A. L. Lourenco, Y. Masuda, I. Misztal, S. Tsuruta, J. Jamrozik, L. F. Brito, F. F. Silva, F. S. Schenkel: Application of single-step genomic evaluation using multiple-trait random regression test-day models in dairy cattle. Journal of Dairy Science, 01/2019; 102(3). DOI: 10.3168/jds.2018-15466

5) OliveiraH. R., L. F. Brito, F. F. Silva, D. A. L. Lourenco, J. Jamrozik, F. S. Schenkel: Genomic prediction of lactation curves for milk, fat, protein, and somatic cell score in Holstein cattle. Journal of Dairy Science, 11/2018; 102(1). DOI: 10.3168/jds.2018-15159

4) OliveiraH. R., F. F. Silva, L. F. Brito, A. R. Guarini, J. Jamrozik, F. S. Schenkel: Comparing deregression methods for genomic prediction of test-day traits in dairy cattle. Journal of Animal Breeding and Genetics, 02/2018; 135(8). DOI:10.1111/jbg.12317

3) OliveiraH. R., H. T. Ventura, E. V. Costa, M. A. Pereira, R. Veroneze, M. S. Duarte, O. H. G. B. D. Siqueira, F. F. Silva: Meta-Analysis of genetic-parameter estimates for reproduction, growth and carcass traits in Nellore cattle by using a random-effects model. Animal Production Science, 05/2017. DOI:10.1071/AN16712

2) OliveiraH. R., F. F. Silva, M. V. G. B. Silva, O. H. G. B. D. Siqueira, M. A. Machado, J. C. C. Panetto, L. S. Glória, L. F. Brito: Bayesian Models combining Legendre and B-spline polynomials for genetic analysis of multiple lactations in Gyr cattle. Livestock Science, 05/2017; 201. DOI:10.1016/j.livsci.2017.05.007

1) OliveiraH. R., F. F. Silva, O. H. G. B. D. Siqueira, N. O. Souza, V. S. Junqueira, M. D. V. Resende, R. R. A. Borquis, M. T. Rodrigues: Combining different functions to describe milk, fat, and protein yield in goats using Bayesian multiple-trait random regression models. Journal of Animal Science, 05/2016; 94(5). DOI:10.2527/jas.2015-0150

 

For a complete list of publications, please visit Hinayah's Research Gate.