About

Lucas Alcantara

ABOUT

Lucas obtained his Bachelor’s in Biotechnology (2015) and a Master’s in Biosciences (2017) from the Federal University of Bahia, Brazil, and defended his Ph.D. in Animal Breeding and Genetics at the University of Guelph (2022).

As part of numerous research projects during his undergraduate studies, he acquired experience in genetic polymorphisms, molecular biology, fermentative processes, bioprospection of microorganisms, and the production and purification of industrial enzymes. He was an exchange student at the University of Toronto, Canada (2013), where he improved his skills in molecular biology and enzymology while studying the physico-chemical and biological degradation of pine tree bark by different fungi species for bioethanol production.

As a master’s student, he decided to understand the role of different bacteria from the rumen in the degradation of plant cell-wall through metagenomic and bioinformatics analysis to target species with the potential to produce enzymes of industrial interest.

His passion for research and new challenges brought him to the pretigious Centre for Genetic Improvement of Livestock at the University of Guelph, Canada, to pursue a Ph.D. in Animal Breeding and Genetics and major in Computational Aspects of Animal Breeding. Under the advisement of Dr. Flavio Schenkel and Dr. Christine Baes, he applied machine learning algorithms to improve breeding programs in the dairy industry.

Lucas currently works as Research Centre Data Manager at the University of Guelph, where he is responsible for the design, development and implementation of a modern data enterprise architecture for the Research Centres operated and managed by the University of Guelph through the Ontario Agri-Food Innovation Alliance.

Over the past years, he has specialized in research data integration supporting individual researchers, research labs, and organizations through private consultations. His technical expertise extends from deploying and managing customized systems, to implementing automated data ETL pipelines across multiple on-site and remote sources, to building functional user interfaces for easy and secure research data access. 



Featured Publications

  • Alcantara L. M., Huitema, C., & Edwards, M. A. (2023). Agri-food Data Canada: A data ecosystem serving agri-food sustainability. In C. Diaz, I. Casasús, F. Estellés, P. Llonch, M. Luque, M. Burke, & C. Mosconi (Eds.), ICAR Technical Series: Breeding for Resilience: Transitioning Diverse Livestock Farming Systems into the Future (Vol. 27, pp. 27). ICAR, Arthur van Schendelstraat 650, 3511 MJ Utrecht, The Netherlands. Retrieved from https://www.icar.org/wp-content/uploads/2024/01/ICAR-Technical-Series-27-Toledo-2023-Proceedings.pdf
  • Martin, A. A. A., Id-Lahoucine, S., Fonseca, P. A. S., Rochus C. M., Alcantara L. M., et al. 2022. Unravelling the genetics of non-random fertilization associated with gametic incompatibility. Scientific Reports 12, 22314. https://doi.org/10.1038/s41598-022-26910-8.
  • Alcantara, L. M., Schenkel F. S., Lynch C., Oliveira Junior, G. A., Baes, C.F. and Tulpan, D. 2022. Machine learning classification of breeding protocol descriptions from Canadian Holsteins. Journal of Dairy Science. https://doi.org/10.3168/jds.2021-21663.
  • Alcantara, L. M., Baes C.F., Oliveira Junior, G.A. and Schenkel, F.S.. 2022. Conformation traits of Holstein cows and their association with a Canadian economic selection index. Canadian Journal of Animal Science.  https://doi.org/10.1139/CJAS-2022-0013.
  • Oliveira Junior, G. A., Schenkel, F. S., Alcantara, L. M., Houlahan, K., Lynch, C. & Baes, C. F. 2021. Estimated genetic parameters for all genetically evaluated traits in Canadian Holsteins. Journal of Dairy Science. 9002-9015. 104(8). doi.org/10.3168/jds.2021-20227.

Featured Abstracts

  • Martin A. A. A., Id-Lahoucine S., Fonseca P. A. S. , Rochus C. M., Alcantara L. M., et. al. (2022). Genotypic interaction between gametes: mate incompatibility in dairy cattle. In: Book of Abstracts of the 73rd Annual Meeting of the European Federation of Animal Science (EAAP), Porto, Portugal.
  • Lopes L., Houlahan K., Alcantara L. M., Oliveira Jr. G. A., Tulpan D., Miglior F., Schenkel F. S., Baes C. F. (2022). Genetic parameters for rumination time and traits related to sustainable dairy production. In: Book of Abstracts of 12th World Congress on Genetics Applied to Livestock Production (WCGALP), Rotterdam, the Netherlands.
  • Alcantara, L. M., Tulpan, D., Baes, C., & Schenkel, F. S. (2021). Machine learning algorithms for prediction of insemination outcome in historical data of Holstein cattle. Poster session (online), 2021 American Dairy Science Association Annual Meeting, Louisville, KY.
  • Alcantara, L. M., Schenkel, F. S. G.A. Oliveira Junior, G. A. & Baes, C. (2020). Conformation traits of Holstein cows and their association with the Pro$ selection index. Oral session (online), 2020 American Dairy Science Association Annual Meeting, West Palm Beach, FL.

Oral Presentations

  • Alcantara, L.M, Dehghantanha, A. (2024, April). Barn Cybersecurity Simulation hosted at the Ontario Dairy Research Centre. The Future of Cybersecurity in Agriculture, Guelph, Ontario, Canada.
  • Alcantara, L.M. (2023, October). The Ontario Dairy Research Centre Data Platform and it's support to the Resilient Dairy Genome Project. SCC-84 Multistate Meeting, Ithaca, New York, United States.
  • Innes, D. J., Alcantara, L. M., Cant, J. P. (2023, June). From averages to individuals: a data cleaning dashboard for automatically collected feed intake data. In: American Dairy Science Association Annual Meeting (ADSA), Ottawa, Ontario, Canada.
  • Alcantara, L. M., Huitema, C., Edwards, A. M. (2023, May). Agri-food Data Canada: A data ecosystem serving agri-food sustainability. 2023 International Committee for Animal Recording (ICAR) Annual Conference. Toledo, Spain.
  • Alcantara, L. M. Research Centre Data Portals. Agri-Food Data Canada Spring Launch. Guelph, ON.
  • Oliveira Junior G. A., Rochus C. M., Alcantara L., Lynch C., Schenkel F. S., Baes C. F. (2022, June). Genetic architecture of fertility traits in natural and hormonal synchronized dairy cows. In: 2022 ICAR/Interbull Conference, Montreal, Quebec, Canada.
  • Alcantara, L. M., (2022, April). Building a machine learning model to identify text-based descriptions of hormonal synchronization protocols. Seminar presented online at the Centre for Genetic Improvement of Livestock, Guelph, ON.
  • Alcantara, L. M., Tulpan, D., Baes, C., & Schenkel, F. S. (2021, November). Machine learning algorithms for prediction of insemination outcome in historical data of Holstein cattle. Poster session (online), 2021 Dairy Cattle Reproduction Council Meeting. Kansas City, MO.
  • Alcantara, L. M., Schenkel, F. S, Baes, C., Lynch, C., Oliveira Junior, G. A., & Tulpan, D. (2021, October). Classification of breeding code protocol descriptions used with Canadian Holsteins. Report presented online at the Dairy Cattle Breeding and Genetics Committee Meeting, Guelph, ON.
  • Alcantara, L. M., Tulpan, D., Baes, C., & Schenkel, F. S. (2021, June). Machine learning algorithms for prediction of insemination outcome in historical data of Holstein cattle. Poster session (online), 2021 American Dairy Science Association Annual Meeting, Louisville, KY.
  • Alcantara, L. M., Tulpan, D., Baes, C., & Schenkel, F. S (2021, February). Intelligent algorithms for prediction of dairy bull fertility: project overview. Report presented online at the Dairy Cattle Breeding and Genetics Committee Meeting, Guelph, ON.
  • Alcantara, L. M. & Oliveira Junior, G. A. (2021, January). Development of an interactive web-based application to facilitate processing of pedigree data, deregression of EBV, and data visualization of genetic parameters. Seminar presented online at the Centre for Genetic Improvement of Livestock, Guelph, ON.
  • Alcantara, L. M., Oliveira Junior, G. A., Baes, C. & Schenkel, F. S. (2020, September). Development of an interactive web-based application to facilitate data visualization of genetic parameters. Report presented online at the Dairy Cattle Breeding and Genetics Committee Meeting, Guelph, ON.
  • Alcantara, L. M., Oliveira Junior, G. A., Baes, C. & Schenkel, F. S. (2020, September). Conformation traits of Holstein cows and their association with the Pro$ selection index. Report presented online at the Dairy Cattle Breeding and Genetics Committee Meeting, Guelph, ON.
  • Alcantara, L. M., Oliveira Junior, G. A., Baes, C. & Schenkel, F. S. (2020, February). Conformation traits and their correlation with Pro$. Report presented at the Dairy Cattle Breeding and Genetics Committee Meeting, Guelph, ON.
  • Alcantara, L. M., Oliveira Junior, G. A., Baes, C. & Schenkel, F. S. (2019, August). Conformation traits and their correlation with Pro$. Report presented at the Dairy Cattle Breeding and Genetics Committee Meeting, Guelph, ON.
  • Lynch, C., Schenkel, F. S., Houlahan, K., Oliveira Junior, G. A., Alcantara, L. M. & Baes, C. F. (2019, June). Understanding the impact of technologies and novel phenotypes on breeding strategies for genetics progress in dairy cattle. Poster session presented at the 2019 American Dairy Science Association Annual Meeting, Cincinnati, OH.

Awards & Scholarships

  • OAC Outstanding Student Staff Recognition Award (2022)
  • Hamilton Milk Producer's Association Scholarship (2018)
  • International Doctoral Tuition Scholarship (2018-2022)
  • Brazil-Canada Science Without Borders Scholarship (2013)

Meetings attended

  • 46th ADSA Discover Conference: Milking the Data: Value-Driven Dairy Farming, May 2024, Itasca - IL
  • Future of Cybersecurity in Agriculture: Barn Simulation & Policy Networking, April, 2024, Guelph - ON
  • Cultivating Innovation: Intellectual Property Strategy for Researchers and Entrepreneurs, November 2023, Guelph - ON
  • SCC-84 Multistate Meeting. October 2023, Ithaca - NY
  • 2023 American Dairy Science Association Annual Meeting. June 2023, Ottawa – ON
  • 2023 International Committee for Animal Recording (ICAR) Annual Conference. May 2023, Toledo, Spain
  • Agri-Food Data Canada Spring Launch. May 2023, Guelph - ON
  • 2021 Dairy Cattle Reproduction Council Meeting. Online, November 2021, Kansas City – MO
  • Dairy Cattle Breeding and Genetics Committee Meeting. October 2021, Guelph – ON
  • 2021 American Dairy Science Association Annual Meeting. Online, June 2021, Louisville – KY
  • Open Industry Session. February 2021, Guelph – ON
  • Dairy Cattle Breeding and Genetics Committee Meeting. February 2021, Guelph – ON
  • Open Industry Session. October 2020, Guelph – ON
  • Dairy Cattle Breeding and Genetics Committee Meeting. September 2020, Guelph – ON
  • 2020 American Dairy Science Association Annual Meeting. Online, June 2020, West Palm Beach – FL
  • Open Industry Session. March 2020, Guelph – ON
  • Dairy Cattle Breeding and Genetics Committee Meeting. February 2020, Guelph – ON
  • Dairy Cattle Breeding and Genetics Committee Meeting. September 2019, Guelph – ON
  • Enabling Innovation – Genome Editing and the Canadian Regulatory Environment. March 2019, Toronto – ON
  • Open Industry Session. February 2019, Guelph – ON
  • Dairy Cattle Breeding and Genetics Committee Meeting. January 2019, Guelph – ON
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