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Flavio Schramm SchenkelPosition/Title: Professor, CGIL Director - Animal Breeding, Genetics and Genomics email: schenkel@uoguelph.ca Phone: (519) 824-4120 ext. 58650 Office: ANNU 121
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Dr. Flavio Schenkel is a Full Professor in the Department of Animal Biosciences at University of Guelph, Canada, with research interests ranging from theoretical to applied genetics and genomics in livestock breeding. His current research focuses on the use of genomic information to enhance genetic evaluation of livestock species with emphasis on genomic selection and novel traits. Dr. Schenkel was a professor at a Federal University in Brazil from 1993 to 2000, and a Research Associate at University of Guelph from 2000 until he became an Assistant Professor in 2005. In 2009 Dr. Schenkel changed his status to an Associate Professor and in 2014 he became a Full Professor. Since 2006, Dr. Schenkel is a member of influential industry boards in Canada, including the DairyGen Council and the Dairy Cattle Genetic Evaluation Board of Lactanet. In 2013, Dr. Schenkel was appointed Director of the Centre for Genetic Improvement of Livestock at University of Guelph. In his scientific career, Dr. Schenkel published over 300 peer-reviewed scientific papers and has contributed to formation of numerous high qualified personnel, including the supervision of 28 graduate students and 21 post-doctoral fellows, and co-supervision of 39 graduate students. Dr. Schenkel also serves on several international journal editorial boards and maintains strong research collaboration with researchers in Brazil and USA, among other countries. Dr. Schenkel was awarded the prestigious Canadian Society of Animal Science Award in Technical Innovation in 2014, the American Dairy Science Association’s J.L. Lush Award in Animal Breeding in 2018, the University of Guelph’s Distinguished Researcher Award in 2018. More recently, Dr. Schenkel was one of the recipients of the 2023 University of Guelph Innovation of the Year Award and was awarded a 2024-2026 University of Guelph Research Leadership Chair.
Dr. Schenkel is a faculty member of the Bioinformatics Program and a faculty affiliated to the One Health Program and the Dairy at Guelph Research Centre.
Dr. Schenkel is a former President of the Canadian Society of Animal Science.
Academic History
- Ph.D. University of Guelph, Guelph, Ontario, Animal Breeding (Statistics and Quantitative Genetics minors), 1998
- M.Sc. Federal University of Rio Grande do Sul, Porto Alegre, Brazil, Animal Breeding, 1991
- B.B.A. Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil, Business Administration, 1990
- B.Sc. Federal University of Rio Grande do Sul, Porto Alegre, Brazil, Agronomy, 1987
- Other Federal University of Rio Grande do Sul, Porto Alegre, Brazil, Specialization in Irrigation and Drainage, 1987
Affiliations and Partnerships
- Sigma Xi, The Scientific Research Honor Society, Research
- American Dairy Science Association
- American Society of Animal Science
- Canadian Society of Animal Science
- American Association for the Advancement of Science
- Brazilian Society of Animal Breeding
Awards and Honours
2023: University of Guelph Innovation of the Year Award.
2023: University of Guelph Research Leadership Chair.
2018: The ADSA J.L. Lush Award in Animal Breeding for outstanding research in the field of animal breeding.
2018: The Ontario Agriculture College Alumni Distinguished Researcher Award, University of Guelph.
2014: The CSAS Award in Technical Innovation in the Production of Safe and Affordable Food, Canadian Society of Animal Science.
1997: Brian W. Kennedy Memorial Scholarship, Brian W. Kennedy Memorial.
1997: Ontario Graduate Scholarship, Ontario Ministry of Education.
1996: Mary Edmunds Williams Scholarship, Mary Edmunds Williams.
1995-1998: Ph.D. Graduate Fellowship, Brazilian Federal Agency for Higher Studies (CAPES).
1995: Ontario Animal Breeders Scholarship, Ontario Animal Breeders.
1994: University of Guelph Graduate Scholarship, University of Guelph Graduate.
1991: Brossard award for achievements during undergraduate studies in Agronomy, Provincial Board of Education.
1988-1991: M.Sc. Graduate Scholarship, Brazilian National Council of Research (CNPq).
Research Impact
Dr. Schenkel’s research interests range from theoretical to applied genetics and genomics in livestock breeding. Current research focuses on the use of genomic information to enhance genetic evaluation of livestock species with emphasis on genomic selection. His research program has been supported by industry and governmental funds, including various funding agencies and expressive industry support funds. Dr. Schenkel has published over 198 peer-reviewed scientific papers. In Google Scholar, his h-index is currently 44 and the i10-index is 129 overall. In ResearchGate, his RG Score is 43.34.
Dr. Schenkel’s most significant research contributions while at the University of Guelph include:
- Pioneering research on genome-wide selection led to the implementation of the first official genomic evaluation in Holstein cattle in Canada by the Canadian Dairy Network (CND) in 2009. Along with USA, Canada was the first country in the world to officially implement genomic selection in dairy cattle.
- The genomic projects led to the creation of reference datasets of genotyped animals in all major Canadian dairy breeds, which facilitated the implementation of genomic selection in other smaller population-sized dairy breeds (Jersey, Brown Swiss and Ayrshire) and opened the opportunity for other genomic related research, such as fine mapping of QTL, genome-wide imputation, etc.
- Innovative research and development on genome-wide imputation from low to high density SNP panels with substantial impact on number of genotyped animals (especially cows) in the genomic evaluation in Canada. Imputation research contributed to implementation of genomic evaluation of dairy cattle with imputed genotypes in 2011 by the CDN.
- Several software applications were developed in recent years, which allowed for state of art research and development in genomics, such as QMSim (genome simulator software), Gebv (genomic breeding value prediction software), and FImpute (genome-wide imputation software), which have been used world-wide. Both Gebv and Fimpute are currently used in the routine genomic evaluations of dairy cattle in Canada by CDN.
- Investigation into the possible genetic background underlying the liability of Standardbred racehorses to atrial fibrillation (AF) strongly indicated a genetic predisposition to AF in the Standardbreds, with the arrhythmia particularly prevalent in one popular sire line. These findings will have substantial impact on the Canadian Standardbred racehorse industry and on future research efforts towards reducing the incidence of this arrhythmia.
- Development of national genetic evaluation for disease resistance, including mastitis and other 7 diseases (lameness, cystic ovarian disease, displaced abomasum, ketosis, metritis/uterine disease, milk fever and retained placenta). Routine genetic evaluation for mastitis resistance was implemented and for metabolic disorders is currently being implemented by CDN.
Main Research Projects (Current and Recent)
1. Integrating genomic approaches to improve dairy cattle resilience: A comprehensive goal to enhance Canadian dairy industry sustainability (Large scale applied research project competition- Genome Canada, Schenkel (Co-investigator), 2020 to 2024)
The overall aim of this project is to develop genomic tools to enable implementation of selection to increase dairy cow resilience, defined as the capacity of the animal to adapt rapidly to changing environmental conditions, without compromising its productivity, health or fertility while becoming more resource-efficient and reducing its environmental burden.
2. Increasing feed efficiency and reducing methane emissions through genomics: a new promising goal for the Canadian dairy industry (Large scale applied research project competition- Genome Canada, Schenkel (Co-applicant/Principle Investigator since January 2019), 2015 to 2021)
The overall goal of the project is to produce genomic predictions for Feed Efficiency (FE) and Methane Emissions (ME) that are ready for breeding application in Canada’s dairy cattle industry. These tools will enable producers to select cattle for improved FE and reduced ME, while still maintaining the high productivity, health and fertility of dairy cows.
3. Designing a reference population to accelerate genetic gains for novel traits in Canadian Holstein project (AAFC- Dairy cluster III Grant, Schenkel (Co-applicant/Principle Investigator since January 2019), 2018 to 2022)
The main objective of this project is to generate tools to maximize the rate of genetic progress for novel traits by designing an enlarged female reference population for genomic prediction of novel traits with ssGBLUP and to investigate the incorporation of additional “-omics” data in Canadian dairy cattle breeding programs.
4. Understanding the impact of cutting-edge genomic technologies and novel phenotypes on breeding strategies for optimum sustainable genetic progress in Canadian dairy cattle project (AAFC- Dairy cluster III Grant, Schenkel (Co-applicant), 2018 to 2022)
The development of novel traits (e.g. feed efficiency, methane emission, etc.), new genotyping technologies (e.g. genotyping by sequencing), and novel tools (e.g. gene editing) applied in the dairy industry is advancing at an unprecedented rate. Wide-spread application of these new technologies will fundamentally change the accuracy of breeding values and the selection strategies used for genetic evaluation of dairy cattle. While these novel traits, technologies and tools are expected to further increase accuracy of genetic evaluations, the medium and long-term effects of their implementation into routine breeding programs at a population level are largely unknown. There is a clear need to assess current and prospective breeding strategies, and to compare the benefits of various strategies and tools for genetic improvement and selection. Ideally, the use of these new technologies will help ensure sustainability, genetic diversity, and will help to further improve production efficiency. The objective of this proposal is to analyze and compare the benefits of various strategies and novel tools for breed improvement.
5. Breeding livestock for climate resilience: the capacity to maintain production and fitness in a changing climate (Canada First Research Excellence Fund, Schenkel (Principle investigator), 2017 to 2022)
This project is part of the CFREF Food from Thought - Agricultural Systems for a Healthy Planet project led by the University of Guelph. The main goal of this project is to identify genes, as well as structural and regulatory regions of the genome of livestock species (with a focus on ruminant species such as beef and dairy cattle, sheep and goats), that are involved in adapting to different stressors triggered through climate change for allowing efficient selection for robust livestock tolerant to extreme temperatures and more productively efficient.
6. Implementation of genomic selection to improve productivity and health traits in Ontario dairy goats (Gov-OMAFRA Agreement Research Programs, Schenkel (Principal Investigator), Ended)
The overarching objective of this project is to implement genomic selection in the dairy goat industry to promote faster genetic progress in production, conformation, reproduction and health traits in collaboration with Canadian Centre for Swine Improvement, leveraging from a previous genomic project. Specific objectives include increase the size of the reference population for the two major dairy goat breeds in Canada, named Alpine and Saanen; evaluate and validate prediction methods and corresponding genomic evaluation tools; achieve a better understanding of the genetic background of the traits of interest by estimating genetic parameters using genomic information and also performing GWAS studies; Increase the accuracies of genomic breeding values for various economically important traits by an increased reference population size and an optimized genomic evaluation model; transfer the genomic tools to Canadian Centre for Swine Improvement for the use by the dairy goat producers.
7. Genetic Improvement of Canadian Lamb Carcass Yield, Quality and Growth Traits (NSERC-CRD, Schenkel (Principal Investigator), Ended)
In the Canadian lamb industry, carcass yield and quality traits are of considerable importance because these relate directly supply chain production efficiency, economic profitability and consumer choice of domestic products. This study seeks to examine genetic bases of carcass yield, fat depth and conformation in commercial lambs, and consider genetic relationships with early growth, ultrasound measurements and other economically important production and reproduction traits. The goal is to find optimal selection methods to improve carcass yield, quality and growth in commercial lamb breeding programs. This will be accomplished by analysing carcass processing data that were recorded over at least 2.5 years from commercial lambs that are part of the Canadian Sheep Genetic Evaluation System (CSGES) hosted at CGIL.
8. Canada's ten thousand cow genomes project (AAFC- Dairy cluster II Grant, Schenkel (Principal Investigator), ended)
The general objective of the project is to increase the accuracy of genomic predictions by using additional knowledge from analyses conducted on a large genotyped cow population (Illumina 50k SNP panel) with high quality phenotypes, including some new traits of great interest (immune response, hoof health, feed efficiency and related traits, and milk spectral data), and imputed 777k genotypes and sequence SNP genotypes.
9. Development and testing of new methods for genomic evaluation in dairy cattle (AAFC- Dairy cluster II Grant, Schenkel (Principal Investigator), ended)
The main objective of this project is to improve the accuracy of genomic estimated breeding values (GEBV) for young bulls, heifers and cows by developing new genomic evaluation methods or testing promising ones. Over the next five years to achieve this will require prioritizing emerging methods based on their potential for increased predictive ability and their applicability to the Canadian context, and transfer the knowledge and results to CDN for national implementation.
10. Improving cow health and the nutraceutical value of milk with Infra-red technology (AAFC- Dairy cluster II Grant, Schenkel (Co-applicant), ended)
Milk laboratories quantify major milk components such as fat or protein using mid-infrared (MIR) spectrometry. These predictions are used for milk payment as well as for animal performance recording. Collecting MIR spectra is very efficient, and the data extracted from the spectra today is just a small portion of the whole information. The MIR spectrum is indeed a fingerprint of the whole milk composition; however, very little has been carried out so far to extract further information. The overall objective is to study the phenotypic and genetic variability of milk spectral data in order to improve cow robustness, nutritional quality of milk for human consumption and to develop a series of calibration equations for several milk components.
11. Computing hardware for big data editing, storage, and analysis . (NSERC- RESEARCH TOOLS AND INSTRUMENTS (RTI), Schenkel (Principal Investigator), ended)
The big data era of research has caused an avalanche of data that has buried the current computer storage and processing technology in the Department of Animal Biosciences at University of Guelph. This project will support the purchase of three high performance computer nodes, a storage server and a fabric network to integrate the new nodes and storage server to the computer nodes and storage currently available in the Department for interdisciplinary and collaborative research involving big data, a common feature of novel research in precision agriculture.
Graduate Student Information
As an advisor and teacher, Dr. Schenkel believes a professor should be a role model and a mentor, and enable each student to reach their individual potential. A good professor should teach students to be independent thinkers and responsible for their own learning and intellectual growth. If students learn something well, regardless of the discipline, they will be prepared to adapt to any circumstances and be productive members of society.
Currently Dr. Schenkel supervise or co-supervise the following graduate students, PDFs and research assistant:
| Student | Advisor | ||||
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Julia Lisboa Rodrigues | Ph.D. Student |  |
Schenkel | |
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Delano Adamson | M.Sc. (coursework) Student | Schenkel | ||
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Leonardo Arikawa | Visiting Ph.D. Student | Schenkel | ||
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Samla Cunha | Post-Doctoral Fellow | Baes, Schenkel | ||
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Sirlene Lazaro | Post-Doctoral Fellow | |
Schenkel | |
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Bruno Ruiz Ramirez | Visiting Ph.D. Student | |
Schenkel | |
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Emanueli Silva | Ph.D. Student | Schenkel |
Most Recent Publications
1. *Cunha, Samla, Schenkel, Flavio, Ventura, Ricardo, Vander Voort, Gordon & Cánovas, Angela. (2026, January). Genome-wide association study identifies major histocompatibility complex genes linked to resistance to gastrointestinal nematodes in grazing Rideau Arcott sheep. Canadian Journal of Animal Science. (Accepted)
Accpeted on 08/01/2026
2. *Sinhalage, Krishani, Polizel, Guilherme Henrique Gebim, Karrow, Niel A., Schenkel, Flávio Schramm & Cánovas, Ángela. (2026, January). Sheep Genetic Resistance to Gastrointestinal Nematode Infections: Current Insights from Transcriptomics and Other OMICs Technologies – A Review. Pathogens. (Accepted)
Accepted on 12/01/2026.
3. *Narayana, Saranya, Schenkel, Flavio, Rojas, Hinayah, Hidalgo, Jorge, Oliveira Junior, Gerson, Miglior, Filippo, . . . Barkema, Herman. (2025, December). Genomic predictions of mastitis-related traits early in the first lactation of dairy heifers using a single-step genomic approach. Journal of Dairy Science. doi:10.3168/jds.2025-26888 (In Press)
Published online on 04/12/2025
4. Shadpour, Saeed, Fleming, Allison, Baes, Christine, Tulpan, Dan, Miglior, Filippo & Schenkel, Flavio. (2025, November). Estimation of genetic parameters for milk mid-infrared predicted methane production in Holstein dairy cattle. Journal of Dairy Science. doi:10.3168/jds.2025-27013 (In Press)
Available online on 27/11/2025.
5. *Cunha, Samla M. F., Schenkel, Flavio S., Karrow, Niel, Mallard, Bonnie & Cánovas, Angela. (2025, October). Uncovering functional INDELs responsible for splice sites in sheep with different immune profiles naturally exposed to gastrointestinal nematode infection. Scientific Reports, 15, 37287. doi:10.1038/s41598-025-21335-5
6. *Condello, Gabriella, Schenkel, Flavio, Hermisdorff, Isis, Lynch, Colin, Rochus, Christina, Van Doormaal, Brian, . . . Baes, Christine. (2025, October). Genetic insights into bovine spastic syndrome (Crampy) in Holstein dairy cattle. Journal of Dairy Science. doi:10.3168/jds.2025-27026
Available online 10/10/2025
7. *Dodd, Gabriella, Miglior, Filippo, Schenkel, Flavio, Campos, Ivan, Jahnel, Ricarda & Baes, Christine. (2025, October). Modeling heat stress effects on first service to conception rates in Canadian Holstein dairy cattle. Journal of Dairy Science. doi:10.3168/jds.2025-27171
Available online 21 October 2025
8. *Braga, Larissa, Schenkel, Flavio, Chud, Tatiane, Rodrigues, Julia, Saada, Bacem, Machado, Marco, . . . Munari, Danisio. (2025, September). Selection signatures in Gir and Holstein cattle. Journal of Dairy Science, 108(9), 9876–9900. doi:10.3168/jds.2024-26147
Available online on 11/06/2025
9. *Souza, Tatiana, Pinto, Luis Fernando, da Cruz, Valdecy Aparecida, Chud, Tatiane, Pedrosa, Victor, Oliveira Junior, Gerson, . . . Brito, Luiz. (2025, September). Genotype imputation accuracy of X chromosome variants in Holstein cattle based on different software and imputation strategies. Journal of Dairy Science. doi:10.3168/jds.2025-26715
Available online September 18, 2025
10. *Campos, Ivan, Jahnel, Ricarda, Miglior, Filippo, Feng, Zeny, Cánovas, Angela, Baes, Christine & Schenkel, Flavio. (2025, July). Modelling heat tolerance for production traits in Canadian Holstein cattle. Journal of Dairy Science. doi:10.3168/jds.2025-26433
Available online on 18/07/2025
11. *Carvalho Filho, Ivan, Soares Campos, Gabriel, Lourenco, Daniela, Schramm Schenkel, Flavio, da Silva, Delvan Alves, Silva, Thales de Lima, . . . Carvalheiro, Roberto. (2025, July). Genotype by environment interaction for productive and reproductive traits in beef cattle using imputed whole genome sequence. Journal of Applied Genetics. doi:10.1007/s13353-025-009
Published online on 21/07/2025
12. Galindo, Bruno Ambrozio, Shandilya, Umesh K., Sharma, Ankita, Schenkel, Flávio Schramm, Cánovas, Ángela, Mallard, Bonnie A. & Karrow, Niel A. (2025, June). Genetic parameters, linear associations with other evaluated traits, and genomic basis of cortisol production in Holstein heifers stress challenged with bacterial endotoxin. Animals, 15(13), 1890. doi:2076-2615/15/13/1890 (Accepted)
Accepted on 26/06/2025
13. *Dodd, Gabriella, Schenkel, Flavio, Miglior, Filippo, Bruinjé, Tony, Gobikrushanth, Mohanathas, Carrelli, Jennifer, . . . Baes, Christine. (2025, May). Potential of anogenital distance as a genetic selection trait in Canadian Holsteins. Journal of Dairy Science, 108(5), 5114-5124. doi:10.3168/jds.2024-26021
Available online 24 March 2025
14. *Lopes, Lucas S.F., Fonseca, Pablo A.S., Makanjuola, Bayode O., Miglior, Filippo, Tulpan, Dan, Baes, Christine F. & Schenkel, Flavio S. (2025, April). A genome-wide association study on rumination time in first-lactation dairy cattle. Journal of Dairy Science. doi:10.3168/jds.2024-26054
Available on 28/02/2025
15. Galindo, Bruno Ambrozio, Massender, Erin, Hermisdorff, Isis da Costa & Schenkel, Flávio Schramm. (2025, March). Genome-wide association study for the capacity to skip the dry period in dairy goats. Agriculture, 15(6), 622. doi:10.3390/agriculture15060622
16. Hailemariam, D., Manafiazar, G., Baes, C., Schenkel, F., Miglior, F., Stothard, P. & Plastow, G. (2025, January). Circulating serum metabolites as biomarkers and predictors of residual feed intake in lactating dairy cows. Scientific Reports, 15, Article number: 1709. doi:10.1038/s41598-025-85610-1
Published on 11/01/2025
17. *Bongers, Renee, Rochus, Christina, Houlahan, Kerry, Lynch, Colin, de Oliveira, Hinayah, van Staaveren, Nienke, . . . Baes, Christine. (2025, January). Estimation of genetic parameters and genome-wide association study for enzootic bovine leukosis resistance in Canadian Holstein cattle. Journal of Dairy Science, 108(1), 611-622. doi:10.3168/jds.2024-25196
Available online on 28/09/2024.
18. *Rodrigues, Julia Lisboa, Braga, Larissa Graciano, Watanabe, Rafael Nakamura, Schenkel, Flávio Schramm, Berry, Donagh Pearse, Buzanskas, Marcos Eli & Munari, Danísio Prado. (2025, January). Genetic diversity and selection signatures in sheep breeds. Journal of Applied Genetics, 66(3), 675–687. doi:10.1007/s13353-025-00941-z
Published online on 30/01/2025
19. Muniz, Maria Malane M., Couto Serrenho, Rita, Duffield, Todd, Oliveira Junior, Gerson A de, McArt, Jessica A.A., Baes, Christine F., . . . Squires, E. James. (2024, October). Identification of genetic markers associated with hyperketonemia patterns in early lactation Holstein cows. Journal of Animal Breeding and Genetics, 141(6), 702-721. doi:10.1111/jbg.12875
First published: 23 May 2024
20. Martinez Boggio, Guillermo, Monteiro, Hugo, Lima, Fabio, Figueiredo, Caio C., Bisinotto, Rafael, Santos, José, . . . Peñagaricano, Francisco. (2024, October). Investigating relationships between the host genome, rumen microbiome, and dairy cow feed efficiency using mediation analysis with structural equation modeling. Journal of Dairy Science, 107(10), 8193-8204. doi:10.3168/jds.2024-24675
21. Martinez-Boggio, Guillermo, Monteiro, Hugo F., Lima, Fabio S., Figueiredo, Caio C., Bisinotto, Rafael S., Santos, José E. P., . . . Peñagaricano, Francisco. (2024, October). Revealing host genome-microbiome networks underlying feed efficiency in dairy cows. Scientific Reports, 14, 26060. doi:10.1038/s41598-024-77782-z
Available online on 10/10/2024
22. *Sousa Junior, Luis Paulo B., Pinto, Luis Fernando B., Cruz, Valdecy A. R., de Oliveira Jr, Gerson, De Oliveira, Hinayah Rojas, Chud, Tatiane S., . . . Brito, Luiz F. (2024, October). Genome-wide association and functional genomic analyses for body conformation traits in North American Holstein cattle. Frontiers in Genetics, 15. doi:10.3389/fgene.2024.1478788
Available online on 23/10/2024
23. Grant, Jason R, Herman, Emily K., Barlow, Lael D., Miglior, Filippo, Schenkel, Flavio S., Baes, Christine F. & Stothard, Paul. (2024, September). A large structural variant collection in Holstein cattle and associated database for variant discovery, characterization, and application. BMC Genomics, 25(1), 903. doi:10.1186/s12864-024-10812-2
24. *Caro Aponte, Pedro Fernando, Carneiro, Paulo, Araujo, Andre, Pedrosa, Victor, Fotso, Patrick Romuald, Silva, Delvan Alves da, . . . Brito, Luiz. (2024, August). Investigating the genomic background of calving-related traits in Canadian Jersey cattle. Journal of Dairy Science. doi:10.3168/jds.2024-24768
Available online on 31/08/2024
25. *Lopes, Lucas, Schenkel, Flavio, Houlahan, Kerry, Rochus, Christina, Oliveira Jr, Gerson, Oliveira, Hinayah R., . . . Baes, Christine. (2024, July). Estimates of genetic parameters for rumination time, feed efficiency, and methane production traits in first lactation Holstein cows. Journal of Dairy Science, 107(7), 4704-4713. doi:10.3168/jds.2023-23751
First available on line on 02/02/2024
26. *Mulim, Henrique Alberto, Pedrosa, Victor B., Batista Pinto, Luis Fernando, Tiezzi, Francesco, Maltecca, Christian, Schenkel, Flavio S. & Brito, Luiz F. (2024, July). Detection and evaluation of parameters influencing the identification of heterozygous-enriched regions in Holstein cattle based on SNP chip or whole-genome sequence data. BMC Genomics, 25(1), 726. doi:10.1186/s12864-024-10642-2
27. *Fong, Aisha, Rochus, Christina M, Shandilya, Umesh K, Muniz, Maria MM, Sharma, Ankita, Schenkel, Flavio S, . . . Baes, Christine F. (2024, June). The role of interleukin-10 receptor alpha (IL10Rα) in Mycobacterium avium subsp. paratuberculosis infection of a mammary epithelial cell line. BMC Genomic Data, 25, 58. doi:10.1186/s12863-024-01234-w
Published on 12/06/2024
28. *Carvalho Filho, Ivan, Arikawa, Leonardo M., Mota, Lucio F. M., Campos, Gabriel S., Fonseca, Larissa F. S., Fernandes Júnior, Gerardo A., . . . Carvalheiro, Roberto. (2024, June). Genome-wide association study considering genotype-by-environment interaction for productive and reproductive traits using whole-genome sequencing in Nellore cattle. BMC Genomics, 25, 623. doi:10.1186/s12864-024-10520-x
Available online on 20/06/2024.
29. Rojas de Oliveira, Hinayah, Chud, Tatiane, Oliveira Jr, Gerson, Hermisdorff, Isis, Narayana, Saranya, Rochus, Christina, . . . Schenkel, Flavio. (2024, May). Genome-wide association analyses reveals copy number variant regions associated with reproduction and disease traits in Canadian Holstein cattle. Journal of Dairy Science. doi:10.3168/jds.2023-24295
Available online 23 May 2024
30. *Archer, Holly, Squires, James, Soares, Riani, Jafarikia, Mohsen, Schenkel, Flavio & Lillie, Brandon. (2024, April). Effect of SNPs in the promoter region on the expression of Cytochrome P450 2E1 (CYP2E1) in pig liver. Animals, (8), 1163. doi:10.3390/ani14081163
31. *Lynch, Colin, Leishman, Emily, Miglior, Filippo, Kelton, David, Schenkel, Flavio & Baes, Christine. (2024, March). Review: Opportunities and challenges for the genetic selection of dairy calf disease traits. Animal. doi:10.1016/j.animal.2024.101141
32. *Lynch C., Schenkel F. S., van Staaveren N., Miglior F., Kelton D. & Baes C. F. (2024, February). Investigating the potential for genetic selection of dairy calf disease traits using management data. Journal of Dairy Science, 107(2), 1022-1034. doi:10.3168/jds.2023-23780
First available online 18/09/2023
33. Monteiro, Hugo F., Figueiredo, Caio C., Mion, Bruna, Santos, José Eduardo P., Bisinotto, Rafael S., Penãgaricano, Francisco, . . . Lima, Fábio S. (2024, February). An artificial intelligence approach of feature engineering and ensemble methods depicts the rumen microbiome contribution to feed and milk production efficiency in dairy cows. Animal Microbiome, 6. doi:10.1186/s42523-024-00289-5
Available online on 06/02/2024
34. *Cunha, Samla Marques Freire, Willoughby, Olivia, Schenkel, Flavio & Cánovas, Angela. (2024, February). Genetic parameters estimation and selection for resistance to gastrointestinal nematode parasites in sheep – A review. Animals, 14(4), 613. doi:10.3390/ani14040613
Published on 14/02/2024
35. Oliveira, Hinayah, Sweett, Hannah, Gunasegaram Narayana, Saranya, Fleming, Allison, Shadpour, Saeed, Malchiodi, Francesca, . . . Miglior, Filippo. (2024, January). Symposium Review: Development of genomic evaluation for methane efficiency in Canadian Holsteins. JDS Communications. doi:10.3168/jdsc.2023-0431
Available online on 29/01/2024
36. Jafarikia, Mohsen, Karimi, Zahra, DeVries, Brent, Schenkel, Flavio, Sullivan, Brian & Lu, Ray. (2024, January). Genetic evaluation for piglet crushing behaviour in primiparous sows. Canadian Journal of Animal Science. doi:10.1139/CJAS-2023-0091 (In Press)
37. *Stephansen, Rasmus, Martin, Pauline, Manzanilla-Pech, Coralia, Gredler-Grandl, Birgit, Sahana, Goutam, Madsen, Per, . . . Lassen, Jan. (2023, December). Novel genetic parameters for genetic residual feed intake in dairy cattle using time series data from multiple parities and countries in North America and Europe. Journal of Dairy Science, 106(12), 9078-9094. doi:10.3168/jds.2023-23330
First available on 06/09/2023
38. Martinez Boggio, Guillermo, Monteiro, Hugo, Lima, Fabio, Figueiredo, Caio C., Bisinotto, Rafael, Santos, José, . . . Peñagaricano, Francisco. (2023, December). Host and rumen microbiome contributions to feed efficiency traits in Holstein cows. Journal of Dairy Science. doi:10.3168/jds.2023-23869
Available online 21 December 2023
39. *Alves, Kristen, Brito, Luiz F., Sargolzaei, Mehdi & Schenkel, Flavio S. (2023, November). Genome-wide association studies for epistatic genetic effects on fertility and reproduction traits in Holstein cattle. Journal of Animal Breeding and Genetics, 140(6), 624-637. doi:10.1111/jbg.12813
First published on 22/06/2023
40. Teissier, Marc, Brito, Luiz, Schenkel, Flavio, Bruni, Guido, Fresi, Pancrazio, Bapst, Beat, . . . Larroque, Helene. (2023, November). Genetic parameters for milk production and type traits in north American and European Alpine and Saanen dairy goat populations. JDS Communications. doi:10.3168/jdsc.2023-0389
Published online on November 03, 2023
41. *Sousa, Luis Paulo, Pinto, Luis Fernando, da Cruz, Valdecy Aparecida, Oliveira Jr, Gerson, Oliveira, Hinayah, Chud, Tatiane, . . . Brito, Luiz. (2023, November). Genome-wide association and functional genomic analyses for various hoof health traits in North American Holstein cattle. Journal of Dairy Science. doi:10.3168/jds.2023-23806 (In Press)
Published online on November 6, 2023
42. *Rockett, Paige, Campos, Ivan, Baes, Christine, Tulpan, Dan, Miglior, Filippo & Schenkel, Flavio. (2023, October). Genetic evaluation of heat tolerance in Holsteins using test-day production records and NASA POWER weather data. Journal of Dairy Science, 106(10), 6995-7007. doi:10.3168/jds.2022-22776
Available online 9 August 2023.
43. Staaveren, Nienke van, Oliveira, Hinayah R. De, Houlahan, Kerry, Chud, Tatiane C. S., Oliveira Jr, Gerson A., Hailemariam, Dagnachew, . . . Baes, Christine F. (2023, September). The Resilient Dairy Genome Project – a general overview of methods and objectives related to feed efficiency and methane emissions. Journal of Dairy Science. doi:10.3168/jds.2022-22951
Available online 09/09/2023
44. Houlahan, Kerry, Schenkel, Flavio, Miglior, Filippo, Jamrozik, Janusz, Stephansen, Rasmus, González-Recio, Oscar, . . . Baes, Christine. (2023, September). Estimation of genetic parameters for feed efficiency traits using random regression models in dairy cattle. Journal of Dairy Science. doi:10.3168/jds.2022-23124
Available online on 10/09/2023
45. *Alves, Kristen, Brito, Luiz F. & Schenkel, Flavio S. (2023, September). Genomic prediction of fertility and calving traits in Holstein cattle based on models including epistatic genetic effects. Journal of Animal Breeding and Genetics, 140(5), 568-591. doi:10.1111/jbg.12810
46. Freitas, Anielly P, Lima, Maria Lúcia P, Simili, Flávia F, Negrão, João A, Schenkel, Flavio S & Paz, Claudia Cristina P. (2023, September). Influence of handling in corrals on the temperament of different breeds of beef cattle raised in Brazil. Journal of Animal Science, 101. doi:10.1093/jas/skad300
Available on 08/09/2023
47. *Souza, Taiana, Pinto, Luis Fernando, da Cruz, Valdecy Aparecida, Oliveira, Hinayah, Pedrosa, Victor, Oliveira Jr, Gerson, . . . Brito, Luiz. (2023, August). A comprehensive characterization of longevity and culling reasons in Canadian Holstein cattle based on various systematic factors. Translational Animal Science, 7, txad102. doi:10.1093/tas/txad102
Advance access publication on August 28, 2023
48. Freitas, Anielly P, Lima, Maria Lúcia P, Simili, Flávia F, Schenkel, Flávio S, Faro, Lenira E, Santana, Mario L & Paz, Claudia Cristina P. (2023, August). Genetic parameters for behavioral and growth traits of Nellore cattle. Journal of Animal Science, 101. doi:10.1093/jas/skad280
Published on 25 August 2023
49. *Neustaeter, Anna, Brito, Luiz, Hanna, W. J. Brad, Baird, John D. & Schenkel, Flavio. (2023, July). Investigating the genetic background of Spastic Syndrome in North American Holstein cattle based on heritability, genome-wide association, and functional genomic analyses. Genes, 14(7), 1479. doi:10.3390/genes14071479
50. *Id-Lahoucine, Samir, Casellas, Joaquim, Suárez-Vega, Aroa, Fonseca, Pablo A. S., Schenkel, Flavio S., Sargolzaei, Mehdi & Canovas, Angela. (2023, June). Unravelling transmission ratio distortion across the bovine genome: Identification of candidate regions for reproduction defects. BMC Genomics, 24(1), 383. doi:10.1186/s12864-023-09455-6
51. Bolormaa, Sunduimijid, Haile-Mariam, Mekonnen, Marett, Leah C., Miglior, Filippo, Baes, Christine F., Schenkel, Flavio S., . . . Pryce, Jennie E. (2023, May). Use of dry-matter intake recorded at multiple time periods during lactation increases the accuracy of genomic prediction for dry-matter intake and residual feed intake in dairy cattle. Animal Production Science. doi:10.1071/AN23022
52. *Kamalanathan, Stephanie, Houlahan, Kerry, Miglior, Filippo, Chud, Tatiane C.S., Seymour, Dave J., Hailemariam, Dagnachew, . . . Schenkel, Flavio S. (2023, April). Genetic analysis of methane emission traits in Holstein dairy cattle. Animals, 13(8), 1308. doi:10.3390/ani13081308
53. *Id-Lahoucine, Samir, Casellas, Joaquim, Miglior, Filippo, Schenkel, Flavio S. & Cánovas, Angela. (2023, April). Parent-offspring genotyped trios unravelling genomic regions with gametic and genotypic epistatic transmission bias on the cattle genome. Frontiers in Genetics. doi:10.3389/fgene.2023.1132796
Published online on 06/04/2023
54. van Staaveren, Nienke, Hyland, Emma, Houlahan, Kerry, Lynch, Colin, Miglior, Filippo, Kelton, David F., . . . Baes, Christine F. (2023, March). Recording of calf diseases for potential use in breeding programs: A case study on calf respiratory illness and diarrhea. Canadian Journal of Animal Science. doi:10.1139/cjas-2022-0112
Available online on 31/03/2023
55. *Rockett, Page, Campos, Ivan, Baes, Christine, Miglior, Filippo, Tulpan, Dan & Schenkel, Flavio. (2022, December). Phenotypic analysis of heat stress in Holsteins using test-day production records and NASA POWER meteorological data. Journal of Dairy Science, 106(2), 1142-1158. doi:10.3168/jds.2022-22370
American Dairy Science Association News Release: https://www.journalofdairyscience.org/pb-assets/Health%20Advance/journals/jods/JDS-Feb2023-PR-Schenkel-DS22370-FINAL-1687805434623.pdf
56. *Martin, Audrey A.A., Id-Lahoucine, Samir, Fonseca, Pablo A.S., Rochus, Christina M., Alcantara, Lucas M., Tulpan, Dan, . . . Schenkel, Flavio S. (2022, December). Gametic incompatibility: Unravelling the genetics of non-random fertilization. Scientific reports, 12, 22314. doi:10.1038/s41598-022-26910-8
57. *Id-Lahoucine, Samir, Casellas, Joaquim, Fonseca, Pablo A. S., Suarez-Vega, Aroa, Schenkel, Flavio & Cánovas, Angela. (2022, December). Deviations from Mendelian inheritance on bovine X-chromosome revealing recombination, sex-of-offspring effects and fertility-related candidate genes. Genes, 13(12), 2322. doi:10.3390/genes13122322
58. *Campos, Ivan Lange de, Chud, Tatiane C. S., Junior, Gerson A. O., Baes, Christine F., Cánovas, Ángela & Schenkel, Flavio Schramm. (2022, December). Estimation of Genetic Parameters of Heat Tolerance for production traits in Canadian Holsteins cattle. Animals, 12(4), 3585. doi:10.3390/ani12243585
59. *Massender, Erin, Oliveira, Hinayah R., Brito, Luiz F., Maignel, Laurence, Jafarikia, Mohsen, Baes, Christine F., . . . Schenkel, Flavio S. (2022, December). Genome-wide association study for milk production and conformation traits in Canadian Alpine and Saanen dairy goats. Journal of Dairy Science, 106(2), 1168-1189. doi:10.3168/jds.2022-22223
Open Access. Published: 14 December 2022
60. *Gunasegaram Narayana, Saranya, de Jong, Ellen, Schenkel, Flavio, Fonseca, Pablo, Chud, Tatiane, Powell, Diana, . . . Barkema, Herman. (2022, November). Underlying genetic architecture of resistance to mastitis in dairy cattle: A systematic review and gene prioritization analysis of genome-wide association studies. Journal of Dairy Science, 106(1), 323-351. doi:10.3168/jds.2022-21923
Open Access: Published on November 01, 2022
61. *Dou, Jinhuan, Sammad, Abdul, Cánovas, Angela, Schenkel, Flavio, Muniz, Maria Malane MagalhãesSammad, Abdul, Usman, Tahir, . . . Wang, Yachun. (2022, November). Identification of Novel mRNA Isoforms Associated with Acute Heat Stress Response Using RNA Sequencing Data in Sprague Dawley Rats. Biology, 11(12), 1740. doi:10.3390/biology11121740
62. Shadpour, Saeed, Chud, Tatiane C. S., Hailemariam, Dagnachew, Oliveira, Hinayah R., Plastow, Graham, Stothard, Paul, . . . Schenkel, Flavio S. (2022, October). Predicting dry matter intake in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks. Journal of Dairy Science, 105(10), 8257-8271. doi:10.3168/jds.2021-21297
63. *Alcantara, L.M., Schenkel, F.S., Lynch, C., Oliveira Junior, G.A., Baes, C.F. & Tulpan, D. (2022, October). Machine learning classification of hormonal synchronization protocols for Canadian Holsteins cows. Journal do Dairy Science, 105(10), 8177-8188. doi:10.3168/jds.2021-21663
64. *Martin, Audrey A.A., de Oliveira Jr, Gerson, Madureira, Augusto M.L., Miglior, Filippo, LeBlanc, Stephen J., Cerri, Ronaldo L. A., . . . Schenkel, Flavio S. (2022, October). Reproductive tract size and position score: Estimation of genetic parameters for a novel fertility trait in dairy cows. Journal of Dairy Science, 105(10), 8189-8198. doi:10.3168/jds.2021-21651
65. Shadpour, Saeed, Chud, Tatiane C. S, Hailemariam, Dagnachew, Plastow, Graham, Oliveira, Hinayah R., Stothard, Paul, . . . Schenkel, Flavio S. (2022, October). Predicting methane emission in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks. Journal of Dairy Science, 105(10), 8272-8285. doi:10.3168/jds.2021-21176
66. Berton, Mariana Piatto, Pereira da Silva, Rosiane, Banchero, Georgget, Barreto Mourão, Gerson, Sterman Ferraz, Jose Bento, Schramm Schenkel, Flavio & Baldi, Fernando. (2022, September). Genomic integration to identify molecular biomarkers associated with indicator traits of gastrointestinal nematode resistance in sheep. Journal of Animal Breeding and Genetics, 139(5), 502-516. doi:10.1111/jbg.12682
67. Bolormaa, Sunduimijid, MacLeod, Iona M., Khansefid, Majid, Marett, Leah C., Wales, William J., Miglior, Filippo, . . . Pryce, Jennie E. (2022, September). Sharing of either phenotypes or genetic variants can increase the accuracy of genomic prediction of feed efficiency. Genetics Selection Evolution, 54, 60. doi:10.1186/s12711-022-00749-z
68. *Dou, Jinhuan, Luo, Hanpeng, Sammad, Abdul, Lou, Wenqi, Wang, Di, Schenkel, Flavio, . . . Wang, Yachun. (2022, August). Epigenomics of rats' liver and its cross-species functional annotation reveals key regulatory genes underlying short term heat-stress response. Genomics. doi:10.1016/j.ygeno.2022.110449 (In Press)
69. *Campos, I. L., Chud, T. C. S, Oliveira, H. R., Baes, C. F., Cánovas, A. & Schenkel, F. S. (2022, June). Using publicly available weather station data to investigate the effects of heat stress on milk production traits in Canadian Holstein cattle. Canadian Journal of Animal Science, 102(2), 368–381. doi:10.1139/cjas-2021-0088
70. *Massender, Erin, Brito, Luiz, Maignel, Laurence, Oliveira, Hinayah, Jafarikia, Mohsen, Baes, Christine, . . . Schenkel, Flavio. (2022, May). Single- and Multiple-Breed Genomic Evaluations for Conformation Traits in Canadian Alpine and Saanen Dairy Goats. Journal of Dairy Science, 105(7), 5985-6000. doi:10.3168/jds.2021-21713 (In Press)
71. Teissier, Marc, Brito, Luiz, Schenkel, Flavio, Bruni, Guido, Fresi, Pancrazio, Robert-Granie, Christèle & Larroque, Hélène. (2022, May). Genetic Characterization and Population Connectedness of North American and European Dairy Goats. Frontiers in Genetics. doi:10.3389/fgene.2022.862838 (In Press)
72. *Alcantara, Lucas M., Baes, Christine F., de Oliveira Junior, Gerson A. & Schenkel, Flavio S. (2022, May). Conformation traits of Holstein cows and their association with a Canadian economic selection index. Canadian Journal of Animal Science. doi:10.1139/cjas-2022-0013
73. Chen, Shi-Yi, Schenkel, Flavio S., Melo, Ana L. P., Oliveira, Hinayah R., Pedrosa, Victor B., Araujo, Andre C., . . . Brito, Luiz F. (2022, April). Identifying pleiotropic variants and candidate genes for fertility and reproduction traits in Holstein cattle via association studies based on imputed whole genome sequence genotypes. BMC Genomics, 23, 331. doi:10.1186/s12864-022-08555-z
74. *Seymour, Dave, Cant, John P., Osborne, Vern R., Chud, Tatiane C. S., Schenkel, Flavio S. & Miglior, Filippo. (2022, April). A novel method of estimating 24-h corrected milk yields in automated milking systems. Animal - Open Space, 1(1), 100011. doi:10.1016/j.anopes.2022.100011
75. *Massender, E, Brito, L, Maignel, L, Oliveira, H, Jafarikia, M, Baes, Christine, . . . Schenkel, Flavio. (2022, March). Single-Step Genomic Evaluation for Milk Production Traits in Canadian Alpine and Saanen Dairy Goats. Journal of Dairy Science, 105(3), 2393-2407. doi:10.3168/jds.2021-20558
76. Liu, Rui, Hailemariam, Dagnachew, Yang, Tianfu, Miglior, Filippo, Schenkel, Flavio, Wang, Zhiquan, . . . Plastow, Graham. (2022, March). Predicting enteric methane emission in lactating Holsteins based on reference methane data collected by the GreenFeed system. Animals, 16(3), 100469. doi:10.1016/j.animal.2022.100469
77. Araujo, A C, Carneiro, P L, Oliveira, H R, Schenkel, F, Veroneze, R & Daniela A L Lourenco, Luiz F Brito. (2022). A comprehensive comparison of haplotype-based single-step genomic predictions in livestock populations with different genetic diversity levels: a simulation study. Frontiers in Genetics, 12. doi:10.3389/fgene.2021.729867
78. Fonseca, P, Schenkel, F & Canovas, A. (2022, January). Genome-wide association study using haplotype libraries and repeated measures model to identify candidate genomic regions for stillbirth in Holstein cattle. Journal of Dairy Science. doi:10.3168/jds.2021-20936
79. Bolormaa, S, MacLeod, I, Khansefid, M, Marett, L, Wales, W, Nieuwhof, Gert, . . . Pryce, Jennie. (2022). Evaluation of updated Feed Saved breeding values developed in Australian Holstein dairy cattle. JDS Communications. doi:10.3168/jdsc.2021-0150 (In Press)
Available online 10 January 2022. In Press, corrected proof
80. Schenkel, Flavio S. (2021, December 17). Prospects for exploiting epigenetic effects in livestock production. Animal Frontiers, 11(6), 3-4. doi:10.1093/af/vfab071
81. Pedrosa, Victor B., Schenkel, Flavio S., Chen, Shi-Yi, Oliveira, Hinayah R., Casey, Theresa M., Melka, Melkaye G. & Brito, Luiz F. (2021, November). Genome-wide association analyses of lactation persistency and milk production traits in Holstein cattle based on imputed whole-genome sequence data. Genes, 12(11), 1830. doi:10.3390/genes12111830
82. *Boareki, M, Schenkel, F, Kennedy, D, C, aacute & novas, A. (2021, September). Prediction of Genetic Resistance for Scrapie in Ungenotyped Sheep Using a Linear Animal Model. Genes, 12(9), 1432. doi:10.3390/genes12091432
83. Oliveira Jr., G, Schenkel, F, Alcantara, L, Houlahan, K, Lynch, C & Baes, Christine. (2021, August). Estimated genetic parameters for all genetically evaluated traits in Canadian Holsteins. Journal of Dairy Science, 104(8), P9002-9015. doi:10.3168/jds.2021-20227
84. Manzanilla-Pech, C, L, oslash, vendahl, P, Gordo, D M, Difford, G, Pryce, J, . . . Lassen, Jan. (2021, August). Breeding for reduced methane emission and feed efficient Holstein cows: an international response. Journal of Dairy Science, 104(8), P8983-9001. doi:10.3168/jds.2020-19889
85. Martins, R, Machado, P C, Pinto, L F, Silva, M R, Schenkel, F S & Luiz F. Brito, and Victor B. Pedrosa. (2021, August). Genome-wide association study and pathway analysis for carcass fatness in Nellore cattle measured by ultrasound. Animal Genetics, 52(5), 730-733. doi:10.1111/age.13129
First published on August 9, 2021
86. Mallikarjunappa, S, Brito, L, Pant, S, Schenkel, F, Meade, K G & and Niel Karrow. (2021, August). Johne's disease in Dairy Cattle: An immunogenetic perspective. Frontiers in Veterinary Science, 8, 910. doi:10.3389/fvets.2021.718987
87. Lynch*, C, Oliveira Jr, G, Schenkel, F & Baes, C. (2021, August). Effect of synchronized breeding on genetic evaluations of fertility traits in dairy cattle. Journal of Dairy Science. doi:10.3168/jds.2021-20495
Published online on August 25, 2021
88. Makanjuola, B O, Maltecca, C, Miglior, F, Marras, G, Emhimad, A, Flavio S. Schenkel & Christine F. Baes. (2021, August). Identification of unique ROH regions with unfavorable effects on production and fertility traits in Canadian Holsteins. Genetics Selection Evolution, 53(68). doi:10.1186/s12711-021-00660-z
89. Martins, R, Machado, P C, Pinto, L F, Silva, M R, Schenkel, F S & Luiz F. Brito, Victor B. Pedrosa. (2021, May). Genome-wide association study and pathway analysis for fat deposition traits in Nellore cattle raised in pasture-based systems. Journal of Animal Breeding and Genetics, 138(3), 360-378. doi:10.1111/jbg.12525
90. Oliveira Junior, G A, Schaffer, L R, Schenkel, F, Tiezzi, F & Baes, C F. (2021, April). Potential effects of hormonal synchronized breeding on genetic evaluations of fertility traits in dairy cattle: A simulation study. Journal of Dairy Science, 104(4), 4404-4412. doi:10.3168/jds.2020-18944
91. Freitas, A d, Santana Junior, M L, Schenkel, F S, Zerlotti, M, Cyrillo, J d & Claudia Cristina Paro de Paz. (2021, April). Different selection practices affect the environmental sensitivity of beef cattle. PLoS ONE, 16(4), e0248186. doi:10.1371/journal.pone.0248186
92. Dou, J, Cá, novas, A, Brito, L F, Yu, Y, Schenkel, F S & Yachun Wang. (2021, April). Comprehensive RNA-Seq Profiling Reveals Spatial and Temporal Changes in Gene Expression in Sprague–Dawley Rats as Response to Heat Stress Challenges. Frontiers in Genetics, 12, 651979. doi:10.3389/fgene.2021.651979
93. Seymour, D, Cá, novas, A, Chud, T, Cant, J, Osborne, V & Christine Baes, Flavio Schenkel, Filippo Miglior. (2021, April). Associations between feed efficiency and aspects of lactation curves in primiparous Holstein dairy cattle. Journal of Dairy Science. doi:10.3168/jds.2020-20010
Available online 30 April 2021 (In Press)
94. Houlahan*, K, Schenkel, F S, Hailemariam, D, Lassen, J, Kargo, M & John B Cole, Erin E Connor, Silvia Wegmann, Gerson A Oliveira, Filippo Miglior, Allison Fleming, Tatiane C.S. Chud, Christine F Baes. (2021, April). Effects of incorporating dry matter intake and residual feed intake into a selection index for dairy cattle using deterministic modeling. Animals, 11, 1157. doi:10.3390/ani11041157
95. Butty, A, Chud, T, Cardoso, D, Lopes, L, Miglior, F, Flavio Schenkel, Angela Cá, . . . ller, Paul Stothard, Francesca Malchiodi, Christine Baes. (2021, April). Genome-wide association study between copy number variants and hoof health traits in Holstein dairy cattle. Journal of Dairy Science, 104. doi:10.3168/jds.2020-19879
Available online 22 April 2021 (In Press).
96. Boareki*, M N, Brito, L F, Cá, novas, A, Osborne, V & Schenkel, F. (2021, March). Estimation of Genetic Parameters and Selection Response for Reproductive and Growth Traits in Rideau-Arcott sheep. Canadian Journal of Animal Science, 101(1), 134-142. doi:10.1139/CJAS-2019-0152
97. Oliveira, H R, Miller, S P, Brito, L F & Schenkel, F S. (2021, March). Impact of Censored or Penalized Data in the Genetic Evaluation of Two Longevity Indicator Traits Using Random Regression Models in North American Angus Cattle. Animals, 11(3), 800. doi:10.3390/ani11030800
This paper has been selected as a candidate for the Animals 2023 Best Paper Award (https://www.mdpi.com/journal/animals/awards/1983)
98. Lam, S, Miglior, F, Fonseca, P A, Gomez-Redondo, I, Zeidan, J, Suarez-Vega, Aroa, . . . novas, Angela. (2021, February). Identification of functional candidate variants and genes for feed efficiency in Holstein and Jersey cattle breeds using RNA-Sequencing. Journal of Dairy Science, 104(2), 1928-1950. doi:10.3168/jds.2020-18241
99. Narayana*, S G, Schenkel, F, Miglior, F, Chud, T, Abdalla, E, Naqvi, Syed Ali, . . . Barkema, Herman. (2021, February). Genetic Analysis of Pathogen-Specific Intramammary Infections in Dairy Cows. Journal of Dairy Science, 104(2), 1982-1992. doi:10.3168/jds.2020-19062
100. Freitas, P H, Wang, Y, Yan, P, Oliveira, H R, Schenkel, F S & Yi Zhang, Qing Xu, Luiz F. Brito. (2021, February). Genetic diversity and signatures of selection for thermal stress in cattle and other two Bos species adapted to divergent climatic conditions. Frontiers in Genetics, 12, 102. doi:10.3389/fgene.2021.604823
101. Dou, J, Hu, L, Khan, A, Kahn, M Z, Yu, Y & Yajing Wang, Flavio Schenkel and Yachun Wang. (2021, February). Genome-Wide Identification and Functional Prediction of Long Non-coding RNAs in Sprague-Dawley Rats during Heat Stress. BMC Genomics, 22, 122. doi:10.1186/s12864-021-07421-8
102. *Massender, E, Brito, L F, C, aacute, novas, A, Baes, C, Kennedy, D & Flavio S. Schenkel. (2021, January). The value of incorporating carcass trait phenotypes in terminal sire selection indexes to improve carcass yield and quality of heavy lambs. Journal of Animal Breeding and Genetics, 138, 91–107. doi:10.1111/jbg.12484
103. Richardson, C, Nguyen, T, Abdelsayed, M, Moate, P, Williams, R, Chud, Tatiane, . . . Pryce, Jennie. (2021, January). Genetic parameters for methane emission traits in Australian dairy cows. Journal of Dairy Science, 104(1), 539-549. doi:10.3168/jds.2020-18565
104. Soares*, R A, Vargas, G, Muniz, M M, Soares, M A, Cá, novas, A & F. Schenkel, and E. J. Squires. (2021, January). Differential gene expression in dairy cows under negative energy balance and ketosis: A systematic review and meta-analysis. Journal of Dairy Science, 104(1), 602-615. doi:10.3168/jds.2020-18883
F. Schenkel and E. J. Squires share the senior authorship
105. Feitosa, F L, Pereira, A S, Mueller, L F, Fonseca, P A, Braza, C U, Sabrina Amorim, Rafael Espigolan, Marcos Antunes de Lemos, Lucia Galvã & o de Albuquerque, Flavio Schramm Schenkel, Luiz Fernando Brito, Nedenia Bonvino Stafuzza, and Fernando Baldi. (2021, January). Genome-wide association study for beef fatty acid profile using haplotypes in Nellore cattle. Livestock Science, 245, 104396. doi:10.1016/j.livsci.2021.104396
106. Soares*, R A, Vargas, G, Duffield, T, Schenkel, F & Squires, J E. (2021, January). Genome-wide association study and functional analyses of clinical and subclinical ketosis in Holstein cattle. Journal of Dairy Science. doi:10.3168/jds.2020-20101
107. Brito, L F, Oliveira, H R, Houlahan, K, Fonseca, P A, Lam, S, Adrien M. Butty, Dave J. Seymour, Giovana Vargas, Tatiane C. S. Chud, Fabyano F. Silva, Christine F. Baes, Á, . . . novas, Filippo Miglior, Flavio S. Schenkel. (2020, December). INVITED REVIEW: Genetic mechanisms underlying feed utilization and implementation of genomic selection for improved feed efficiency in dairy cattle. Canadian Journal of Animal Science, 100(4), 587-604. doi:10.1139/CJAS-2019-0193
108. Teissier, M, Larroque, H, Brito, L, Rupp, R, Schenkel, F, Christè & le Robert-Granié. (2020, December). Genomic predictions based on haplotypes fitted as pseudo-SNPs for milk production and udder type traits and somatic cell score in French dairy goats. Journal of Dairy Science, 103(12), 11559-11573. doi:10.3168/jds.2020-18662
109. Abdalla, E, Id-Lahoucine, S, Cá, novas, A, Casellas, J, Schenkel, F S & Ben J. Wood, Chirstine F. Baes. (2020, December). Discovering lethal alleles across the turkey genome using transmission ratio distortion approach. Animal Genetics, 51(6), 876-889. doi:10.1111/age.13003
110. Oliveira, H R, Brito, L F, Miller, S P & Schenkel, F S. (2020, December). Using random regression models to genetically evaluate functional longevity traits in North American Angus cattle. Animals, 10(12), 2410. doi:10.3390/ani10122410
111. Chen, S, Oliveira, H R, Schenkel, F S, Pedrosa, V B, Melka, M & Luiz F. Brito. (2020, November). Using imputed whole-genome sequence variants to uncover candidate mutations and genes affecting milking speed and temperament in Holstein cattle. Journal of Dairy Science, 103(11), P10383-10398. doi:10.3168/jds.2020-18897
112. Feitosa, F, Pereira, A, Amorim, S, Peripolli, E, Silva, R M, Ferrinho, A, . . . Baldi, F. (2020, September). Comparison between haplotype-based and individual snp-based genomic predictions for beef fatty acid profile in Nellore cattle. Journal of Animal Breeding and Genetics, 137(5), 468-476. doi:10.1111/jbg.12463
Wiley Top Cited Article 2020- 2021 in JOURNAL OF ANIMAL BREEDING AND GENETICS
113. Makanjuola, B O, Maltecca, C, Miglior, F, Schenkel, F & Baes, C F. (2020, September). Effect of recent and ancient inbreeding on production and fertility traits in Canadian Holsteins. BMC Genomics, 21, 605. doi:10.1186/s12864-020-07031-w
114. Freitas, P F, Oliveira, H, Fonseca e Silva, F, Fleming, A, Miglior, F & Flavio Schenkel, Luiz Brito. (2020, July). Genomic analyses for predicted milk fatty acid composition along the lactation in North American Holstein cattle. Journal of Dairy Science, 103(7), 6318-6331. doi:10.3168/jds.2019-17628
115. Freitas, P F, Oliveira, H, Fonseca e Silva, F, Flaming, A, Schenkel, F & Filippo Miglior, Luiz Brito. (2020, June). Short-communication: Time-dependent genetic parameters and single-step genome-wide association analyses for predicted milk fatty acid composition in Ayrshire and Jersey dairy cattle. Journal of Dairy Science, 103(6), 5263-5265. doi:10.3168/jds.2019-17820
116. *Makanjuola, B, Miglior, F, Abdalla, E, Maltecca, C, Schenkel, F & Christine Baes. (2020, June). Effect of genomic selection on rate of inbreeding and coancestry and effective population size of Holstein and Jersey cattle populations. Journal of Dairy Science, 103(6), 5183-5199. doi:10.3168/jds.2019-18013
According to Clarivate's Web of Science, this paper is among the 100 most highly cited papers published in JDS since the beginning of 2019. ADSA Board of Directors and the Editors of JDS congratulated the authors for this accomplishment on September 21, 2022
117. Malchiodi, F, Jamrozik, J, Christen, A, Fleming, A, Kistemaker, G & Caeli Richardson, Vic Daniel, David Kelton, Flavio Schenkel, Filippo Miglior. (2020, June). Symposium review: Multiple-trait single-step genomic evaluation for hoof health. Journal of Dairy Science, 103(6), 5346-5353. doi:10.3168/jds.2019-17755
118. *Alves, K, Brito, L F, Baes, C F, Sargolzaei, M, Robinson, J B & Flavio S. Schenkel. (2020, May). Estimation of additive and non-additive genetic effects for fertility and reproduction traits in north American Holstein cattle using genomic information. Journal of Animal Breeding and Genetics, 137(3), 316-330. doi:10.1111/jbg.12466
Wiley Top Cited Article 2020- 2021 in JOURNAL OF ANIMAL BREEDING AND GENETICS
119. Mallikarjunappa, S, Schenkel, F, Brito, L, Bissonnette, N, Miglior, F, Chesnais, Jacques, . . . Karrow, Niel. (2020, May). Association of genetic polymorphisms related to Johne's disease with estimated breeding values of Holstein sires for milk ELISA test scores. BMC Veterinary Research, 16, 165. doi:10.1186/s12917-020-02381-9
120. Devos*, J J, Spence, K M, Warren, C T, Ferriman, N N, Schenkel, F & K.M. Wood, C. P. Campbell and I. B. Mandell. (2020, April). Effects of frequency of supplementation of low-quality gestation diets on beef cow performance from mid-gestation through lactation and preweaning calf performance. Applied Animal Science, 36(2), 237-248. doi:10.15232/aas.2019-01933
121. Butty, A, Chud, T, Miglior, F, Schenkel, F, Kommadath, A, Arun Kommadath, Kirill Krivushin, Jason Grant, Irene Hä, . . . ller, Angela Canovas, Paul Stothard, Christine Baes. (2020, April). High confidence copy number variants identified in Holstein dairy cattle from whole genome sequence and genotype array data. Scientific Reports, 10(8044). doi:10.1038/s41598-020-64680-3
122. Baes, Christine & Schenkel, Flavio. (2020, April 1). The Future of Phenomics. Animal Frontiers, 10(2), 4-5. doi:10.1093/af/vfaa013
123. Vargas*, G, Schenkel, F S, Brito, L F, Neves, H H, Munari, D P, Lucia Galvã, . . . Roberto Carvalheiro. (2020, March). Genomic regions associated with principal components for growth, visual score and reproductive traits in Nellore cattle. Livestock Science, 233, 103936. doi:10.1016/j.livsci.2020.103936
124. Nayeri, S, Schenkel, F, Martin, P, Flaming, A, Jamrozik, J & Francesca Malchiodi, Luiz F. Brito, Christine F. Baes, Mehdi Sargolzaei, and Filippo Miglior. (2020, March). Estimation of Genetic Parameters for Mid-infrared Predicted Lactoferrin and Milk Fat Globule Size in Holsteins. Journal of Dairy Science, 103(3), 2487-2497. doi:10.3168/jds.2019-16850
125. Do, D N, Schenkel, F, Miglior, F, Zhao, X & Ibeagha‐Awemu, E M. (2020, March). Targeted genotyping to identify potential functional variants associated with cholesterol content in bovine milk. Animal Genetics, 51(2), 200-209. doi:10.1111/age.12901
126. Wang, M, Do, D N, Peignier, C, Dudemaine, P, Schenkel, F S & Yongjiang Mao, Filippo Miglior, Xin Zhao, Eveline M. Ibeagha-Awemu. (2020, March). Cholesterol Deficiency Haplotypes Frequency and Their Impact on Milk Production and Milk Cholesterol Content in Canadian Holstein Cows. Canadian Journal of Animal Science, 100(4), 786 - 791. doi:10.1139/cjas-2019-0068
127. Piccoli*, M, Braccini, J, Rojas de Oliveira, H, Cardoso, F, Roso, V & Mehdi Sargolzaei, Flavio Schenkel. (2020, January). Genomic prediction of adaptation and productive efficiency traits in Braford and Hereford cattle. Journal of Animal Breeding and Genetics, 231, 103864. doi:10.1016/j.livsci.2019.103864
► For a full list of publications, please visit Dr. Schenkel's Google Scholar page
► Dr. Schenkel's Animal Breeders Pedigree
