Date of Award
2022
Publisher
North Dakota State University
Document Type
Thesis
Degree Awarded
Master of Science (MS)
Program
Animal Sciences
Department
Animal Sciences
College
Agriculture, Food Systems and Natural Resources
Faculty Advisor
Berg, Eric
Description
The aim of these studies are two-fold. The first, was to evaluate the use of infrared thermography (IRT) maximum, average, and minimum eye temperature (IRTMIN, IRTAVG, and IRTMAX, respectively) and percentage of eye white area (EW) to predict beef cattle temperament by assessing the relationship between IRT and EW traits with 4 established subjective and objective temperament scoring methods (n = 16 traits total). The second was to verify the feasibility of Video Technology (VT) as a measure of beef cattle temperament with minimal equipment and personnel and assess the accuracy and reliability of the VT measurements by comparing those with Temperament Score (TS) and Docility Score (DS). These studies showed potential in using eye white and video technology to objectively predict beef cattle temperament.
Recommended Citation
Ogdahl, William, "Evaluation of Beef Cattle Temperament Using Infrared Thermography and Computer Vison Imaging Technologies" (2022). Animal Sciences. 14.
https://digitalcommons.ndsu.edu/animal-sci/14
Rights
NDSU policy 190.6.2
Rights Link
https://www.ndsu.edu/fileadmin/policy/190.pdf
Handle Identifier
https://hdl.handle.net/10365/33352