Melissa Cantor

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Assistant Professor Precision Dairy Science

Pennsylvania State University

United States

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Melissa Cantor is an Assistant Professor in Precision Dairy Science at Pennsylvania State University. Her research areas focus on dairy cattle behavior, health outcomes in calves, and innovative technologies for improving dairy management practices. Recent publications include studies on the accuracy of dairy cattle behavior sensors, the effects of nonsteroidal anti-inflammatory drugs on calf health, and strategies for optimizing the growth and welfare of dairy calves. She is dedicated to advancing the field of precision dairy science to enhance animal welfare and production efficiency.

Recent Grants

Grant: Close

Elevating Penn State University as an Animal Welfare Centric Research Institution

Open Date: 2023-10-01

Close Date:

Articles (10)

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2025

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2024

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2024

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2023

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2023

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2023

Collaborators (4)

Megan Woodrum Setser

Assistant Professor

University of Connecticut

UNITED STATES

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Joao H. C. Costa

University of Vermont

UNITED STATES

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Katherine Creutzinger

Assistant Professor, Dairy Cattle Behavior and Welfare

University of Wisconsin-River Falls

UNITED STATES

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Jannelle Morrison

University of Guelph

CANADA

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Melissa Cantor

Research Interests

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Recent Grants

Articles (10)

Review: Establishing precision, bias, and reproducibility standards for dairy cattle behavior sensors

A scoping review on pair housing dairy calves: health and performance outcomes and tactics to reduce cross-sucking behavior

Evaluating the change in immunoglobulin G and accuracy of assessing transfer of passive immunity during the first 7 d of age in Holstein dairy calves fed colostrum replacer

Effect of nonsteroidal anti-inflammatory drugs on neonatal calf diarrhea when administered at a disease alert generated by automated milk feeders

The association of lung consolidation and respiratory pathogens identified at weaning on the growth performance of beef-on-dairy calves

Investigating nutritional strategies during a rest period to improve health, growth, and behavioral outcomes of transported surplus dairy calves

The development and validation of a milk feeding behavior alert from automated feeder data to classify calves at risk for a diarrhea bout: A diagnostic accuracy study

A Machine Learning and Optimization Framework for the Early Diagnosis of Bovine Respiratory Disease

Effects of supplementing colostrum beyond the first day of life on growth and health parameters of preweaned Holstein heifers

Activity behaviors and relative changes in activity patterns recorded by precision technology were associated with diarrhea status in individually housed calves

Collaborators (4)

Megan Woodrum Setser

Joao H. C. Costa

Katherine Creutzinger

Jannelle Morrison

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