Predicting body compositions of live finishing pigs based on bioelectrical impedance analysis
The objective of this study was to predict body compositions of live pigs using bioelectrical impedance procedures. In experiment 1, 32 crossbred (Duroc × Landrace × Yorkshire) finishing pigs with an average weight at 84.06 kg were used. In...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Korean Society of Animal Sciences and Technology
2021-03-01
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Series: | Journal of Animal Science and Technology |
Subjects: | |
Online Access: | http://www.ejast.org/archive/view_article?pid=jast-63-2-332 |
Summary: | The objective of this study was to predict body compositions of live pigs using
bioelectrical impedance procedures. In experiment 1, 32 crossbred (Duroc
× Landrace × Yorkshire) finishing pigs with an average weight at
84.06 kg were used. In experiment 2, 96 crossbred (Duroc × Landrace
× Yorkshire) finishing pigs with an average weight at 88.8 kg were used.
A four-terminal body composition analyser was utilized to determine fat
percentage. Lean meat percentage and backfat thickness were measured with a lean
meat measuring meter. In experiment 1, fat percentage was not significantly
correlated with lean meat percentage, although a tendency (p
< 0.1) of a negative correlation was found. Backfat thickness was
significantly correlated with fat percentage and lean meat percentage
(r = 0.745 and r = −0.961,
respectively). Coefficients of determination for fat percentage with lean meat
percentage, fat percentage with backfat thickness, and backfat thickness with
lean meat percentage were 0.503, 0.566, and 0.923, respectively. In experiment
2, fat percentage was significantly correlated with lean meat percentage
(r = −0.972). Backfat thickness was also
significantly correlated with fat percentage and lean meat percentage
(r = 0.935 and r = −0.957,
respectively). Results of this study indicate that bioelectrical impedance
analysis might be useful for predicting body compositions of live finishing
pigs. |
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ISSN: | 2672-0191 2055-0391 |