Dan Tulpan

Assistant Professor

University of Guelph

Canada

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About

Dr. Dan Tulpan is an Assistant Professor at the University of Guelph, Canada. His research primarily focuses on animal science, particularly in the areas of dairy cattle health, behavior, and genetic evaluation. Recent publications include studies on rumination time and heat tolerance in dairy cattle, as well as innovations in machine learning techniques for monitoring animal behavior and production data.

Articles (17)

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2025

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2025

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2022

Collaborators (8)

Graham Plastow

Professor

University of Alberta

CANADA

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Nienke van Staaveren

Utrecht University

NETHERLANDS

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Hinayah Oliveira

Assistant Professor - Genomics and Animal Breeding

Purdue University

UNITED STATES

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Donald Powers

Professor of Biology

George Fox University

UNITED STATES

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Paul Stothard

University of Alberta

CANADA

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Jennifer Ellis

Assistant Professor, Animal Systems Modelling

University of Guelph

CANADA

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Milad Eskandari

University of Guelph

CANADA

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Minglun Gong

Professor and Director

University of Guelph

CANADA

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Dan Tulpan

Research Interests

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About

Articles (17)

Prediction of Pellet Durability Index in a commercial feed mill using multiple linear regression with variable selection and dimensionality reduction

A genome-wide association study on rumination time in first-lactation dairy cattle

Modeling complex systems in animal science: A pedagogical framework for new researchers

Use of rumination time in health risk assessment of prepartum dairy cows

A posture-based measurement adjustment method for improving the accuracy of beef cattle body size measurement based on point cloud data

Comparison of imputation methods for missing production data of dairy cattle

Phenotypic analysis of heat stress in Holsteins using test-day production records and NASA POWER meteorological data

Image feature extraction via local binary patterns for marbling score classification in beef cattle using tree-based algorithms

Genetic evaluation of heat tolerance in Holsteins using test-day production records and NASA POWER weather data

A computer vision image differential approach for automatic detection of aggressive behavior in pigs using deep learning

Predicting dry matter intake in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks

Predicting methane emission in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks

Effects of clipping of flight feathers on resource use in Gallus gallus domesticus

Using machine learning regression models to predict the pellet quality of pelleted feeds

Machine learning classification of breeding protocol descriptions from Canadian Holsteins

Multi-view real-time acquisition and 3D reconstruction of point clouds for beef cattle

Machine-Learning-Based Genome-Wide Association Studies for Uncovering QTL Underlying Soybean Yield and Its Components

Collaborators (8)

Graham Plastow

Nienke van Staaveren

Hinayah Oliveira

Donald Powers

Paul Stothard

Jennifer Ellis

Milad Eskandari

Minglun Gong

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