Faculty profile
Dan Tulpan
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 Guelph directory, so their courses may be missing. Find their university profile.
Research
Latest papers
Identifying mounting behaviour in boars using deep learning-based instance segmentation and binary classification - a pilot study.
Frontiers in bioinformatics · 2026 · senior author
Preference and behavioral responses to synbiotic supplementation via drinking water in laying hens under social stress.
Poultry science · 2026
Estimation of genetic parameters for milk mid-infrared-predicted methane production in Holstein dairy cattle.
Journal of dairy science · 2026
Latest funding
- $240,000
Improvement of feed efficiency in Canadian swine industry through genomics and machine learning
NSERC · 2022 · Co-investigator
- $12,500
Data modelling for animal phenomics
NSERC · 2022 · Principal investigator
- $87,000
Data modelling for animal phenomics
NSERC · 2022 · Principal investigator
26 publications.
Identifying mounting behaviour in boars using deep learning-based instance segmentation and binary classification - a pilot study.
Aricibasi H, Bode J, Bergeron R, Tulpan D
Preference and behavioral responses to synbiotic supplementation via drinking water in laying hens under social stress.
Naim A, van Staaveren N, Leishman EM, Nicklas AL, Tulpan D, Forsythe P, Harlander A
Estimation of genetic parameters for milk mid-infrared-predicted methane production in Holstein dairy cattle.
Shadpour S, Fleming A, Baes CF, Tulpan D, Miglior F, Schenkel FS
Urine, saliva, and serum metabolomics predict female pig reproductive potential status using machine learning modelling.
Fletcher L, Tulpan D, Li J
Genome-wide association studies for feed efficiency, production and feeding behavior traits in Canadian purebred Duroc pigs.
Kim B, Do DN, Jafarikia M, Tulpan D, Adewole D, Manafiazar G, Sullivan B, Holl J, Miar Y
Learning to predict pellet quality: a machine learning and feature engineering approach.
You J, Tulpan D, Krziyzek C, Ellis JL
Genetic parameters for feed efficiency, growth performance, and feeding behaviors traits in Canadian Duroc pigs.
Do DN, Jafarikia M, Maignel L, Tulpan D, Adewole D, Holl J, Sullivan B, Miar Y
ASAS-NANP Symposium: mathematical modeling in animal nutrition: construction of supervised machine learning regression pipelines for livestock data modeling: a case studys.
Tulpan D, Tedeschi LO, Menendez H, Vieira RAM
A comparative analysis of machine learning classifiers for modeling the number of liveborn piglets.
Yang J, Jafarikia M, Gagnon P, Maignel L, DeVries B, Li J, Tulpan D
Prediction of Pellet Durability Index in a commercial feed mill using multiple linear regression with variable selection and dimensionality reduction.
You J, Tulpan D, Krziyzek C, Ellis JL
Improvement of feed efficiency in Canadian swine industry through genomics and machine learning
Principal investigators: Miar, Younes Y
Keywords: animal breeding; animal genomics; feed efficiency; genome-wide association studies; genomic selection; growth traits; machine learning; sustainable development; swine
Data modelling for animal phenomics
Principal investigators: Tulpan, Dan
Data modelling for animal phenomics
Principal investigators: Tulpan, Dan
Keywords: animal phenomics; animal growth; livestock; data modelling; machine learning; computer vision; electro-optical sensors
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
- Istvan Rajcan and Davoud Torkamaneh: 12 shared papers
- Younes Miar and Graham Plastow: 11 shared papers
- Istvan Rajcan and Dan Tulpan: 3 shared papers
- Paul Forsythe and Alexandra Harlander: 2 shared papers
- Younes Miar and Dan Tulpan: 2 shared papers
- Younes Miar and Deborah Adewole: 2 shared papers
- Alexandra Harlander Matauschek and Dan Tulpan: 2 shared papers
- Paul Stothard and Dan Tulpan: 2 shared papers
- Julang Li and Dan Tulpan: 2 shared papers
- Graham Plastow and Dan Tulpan: 2 shared papers
- Dan Tulpan and Deborah Adewole: 2 shared papers
- Paul Forsythe and Alexandra Harlander Matauschek: 1 shared paper
- Paul Forsythe and Dan Tulpan: 1 shared paper
- Ira Mandell and Niel Karrow: 1 shared paper
- Ira Mandell and Dan Tulpan: 1 shared paper
- Niel Karrow and Dan Tulpan: 1 shared paper
- Davoud Torkamaneh and Dan Tulpan: 1 shared paper
- Alexandra Harlander and Dan Tulpan: 1 shared paper
- Animal Biosciences
- Department of Animal Biosciences
- Plant Agriculture (Guelph)
- Animal and Poultry Science
- Agricultural, Life and Environmental Sciences, Faculty of
- Agricultural, Food and Nutritional Science
- Agriculture, Faculty of
- Other
Co-authors at University of Guelph, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Istvan Rajcan
Plant Agriculture (Guelph)
3 shared papers, latest 2023
Deborah Adewole
Animal and Poultry Science
2 shared papers, latest 2026
Paul Stothard
Agricultural, Food and Nutritional Science
2 shared papers, latest 2022
Younes Miar
Agriculture, Faculty of
2 shared papers, latest 2026
Julang Li
Animal Biosciences
2 shared papers, latest 2026
Graham Plastow
Agricultural, Life and Environmental Sciences, Faculty of
2 shared papers, latest 2022
Alexandra Harlander Matauschek
Animal Biosciences
2 shared papers, latest 2023
Alexandra Harlander
Animal Biosciences
1 shared papers, latest 2026
Ira Mandell
Animal Biosciences
1 shared papers, latest 2021
Niel Karrow
Animal Biosciences
1 shared papers, latest 2021
Davoud Torkamaneh
Phytologie
1 shared papers, latest 2022
Paul Forsythe
Medicine
1 shared papers, latest 2026
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.