Advisor

Cavinder, Clay

Committee Member

Mortensen, Chris

Committee Member

Burnett, Derris

Committee Member

Dinh, Thu

Date of Degree

1-1-2017

Document Type

Graduate Thesis - Open Access

Major

Agriculture

Degree Name

Master of Science

College

College of Agriculture and Life Sciences

Department

Department of Animal and Dairy Sciences

Abstract

The primary objectives of the study were to compare 2 body fat (%, BF) prediction methods for stock-type horses by rump fat thickness (RFT) and D2O dilution with actual tissue fat analysis by near-infrared spectroscopy (NIR) and to identify the relationships among BF, BCS, and physical measurements. Secondary objectives were to determine the fatty acid (FA) composition of mesenteric (MS), cardiac (CD), subcutaneous (SC), intermuscular (IM), and leaf fat (LF) and to identify relationships between of FA composition and BCS in horses. Results indicated that D2O dilution is an accurate predictor of BF, and RFT alone does not accurately predict BF. Additionally, BCS may be useful in predicting BF when used with other physical measurements. The effects of BCS and fat depot on FA composition were independent of each other. The more influential factor in FA composition of adipose tissues was fat depot as opposed to BCS.

URI

https://hdl.handle.net/11668/20629

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