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.
| Identifer | oai:union.ndltd.org:MSSTATE/oai:scholarsjunction.msstate.edu:td-1915 |
| Date | 11 August 2017 |
| Creators | Ferjak, Emily Nicole |
| Publisher | Scholars Junction |
| Source Sets | Mississippi State University |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Theses and Dissertations |
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