Faculty profile
John Basarab
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Alberta directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Seasonal metabolic and growth responses of grazing beef heifers divergent in residual feed intake.
PloS one · 2026
Genome-wide association study for primal cut lean traits in Canadian beef cattle.
Meat science · 2023
Estimation of genetic parameters for primal tissue component traits in commercial crossbred beef cattle.
Meat science · 2023
Latest funding
- $1,226,245
Reducing greenhouse gas emissions from the Canadian beef industry through the development and adoption of genomic tools
NSERC · 2023 · Principal investigator
- $57,339
The early detection of disease in receiver calves
NSERC · 2007 · Co-investigator
10 publications.
Seasonal metabolic and growth responses of grazing beef heifers divergent in residual feed intake.
Londono-Mendez MC, Lasso-Ramirez S, Fitzsimmons C, Plastow G, Bork EW, Basarab J, Vasco ACCM, Silva AEM, Macias Franco A, Vinsky M, Li C, Medeiros da Silva G
Genome-wide association study for primal cut lean traits in Canadian beef cattle.
Sood V, Rodas-González A, Valente TS, Virtuoso MCS, Li C, Lam S, López-Campos Ó, Segura J, Basarab J, Juárez M
Estimation of genetic parameters for primal tissue component traits in commercial crossbred beef cattle.
Sood V, Rodas-González A, Valente TS, Li C, Vinsky M, Lam S, López-Campos Ó, Segura J, Basarab J, Juárez M
Influence of Production Factors on Beef Primal Tissue Composition.
Sood V, Rodas-González A, Lam S, López-Campos Ó, Segura J, Schwinghamer T, Dugan M, Basarab J, Aalhus J, Juárez M
Radiated temperature from thermal imaging is related to feed consumption, growth rate and feed efficiency in grower pigs.
Cook N, Chabot B, Liu T, Froehlich D, Basarab J, Juarez M
Genetic architecture of quantitative traits in beef cattle revealed by genome wide association studies of imputed whole genome sequence variants: I: feed efficiency and component traits.
Zhang F, Wang Y, Mukiibi R, Chen L, Vinsky M, Plastow G, Basarab J, Stothard P, Li C
Genetic architecture of quantitative traits in beef cattle revealed by genome wide association studies of imputed whole genome sequence variants: II: carcass merit traits.
Wang Y, Zhang F, Mukiibi R, Chen L, Vinsky M, Plastow G, Basarab J, Stothard P, Li C
Evaluation of a genomic-enhanced sorting system for feeder cattle1.
Akanno EC, Ekine-Dzivenu C, Chen L, Vinsky M, Abo-Ismail MK, MacNeil MD, Plastow G, Basarab J, Li C, Fitzsimmons C
Genome-wide association and genomic prediction of breeding values for fatty acid composition in subcutaneous adipose and longissimus lumborum muscle of beef cattle.
Chen L, Ekine-Dzivenu C, Vinsky M, Basarab J, Aalhus J, Dugan ME, Fitzsimmons C, Stothard P, Li C
Greenhouse Gas Emissions from Calf- and Yearling-Fed Beef Production Systems, With and Without the Use of Growth Promotants.
Basarab J, Baron V, López-Campos Ó, Aalhus J, Haugen-Kozyra K, Okine E
Reducing greenhouse gas emissions from the Canadian beef industry through the development and adoption of genomic tools
Principal investigators: Basarab, John JA
Keywords: barriers to adoption; beneficial management practices; carbon offset; fecal nir; genetic selection; greenhouse gas reduction; methane; molecular breeding values; producer incentives; sustainability
The early detection of disease in receiver calves
Principal investigators: Okine, Erasmus
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Paul Stothard and Graham Plastow: 15 shared papers
- Graham Plastow and John Basarab: 4 shared papers
- Paul Stothard and John Basarab: 3 shared papers
- Agricultural, Food and Nutritional Science
- Agricultural, Life and Environmental Sciences, Faculty of
Co-authors at University of Alberta, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.