Title of article
The use of computer-assisted image analysis in the evaluation of the effect of management systems on changes in the color, chemical composition and texture of m. longissimus dorsi in pigs
Author/Authors
Zapotoczny، نويسنده , , Piotr and Kozera، نويسنده , , Wojciech and Karpiesiuk، نويسنده , , Krzysztof and Paw?owski، نويسنده , , Paul-Rodian Tapaloaga، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2014
Pages
11
From page
518
To page
528
Abstract
The effect of management systems on selected physical properties and chemical composition of m. longissimus dorsi was studied in pigs. Muscle texture parameters were determined by computer-assisted image analysis, and the color of muscle samples was evaluated using a spectrophotometer. Highly significant correlations were observed between chemical composition and selected texture variables in the analyzed images. Chemical composition was not correlated with color or spectral distribution. Subject to the applied classification methods and groups of variables included in the classification model, the experimental groups were identified correctly in 35–95%. No significant differences in the chemical composition of m. longissimus dorsi were observed between experimental groups. Significant differences were noted in color lightness (L*) and redness (a*).
Keywords
Image analysis , Discrimination , Meat , Chemical composition , Texture , Correlation
Journal title
Meat Science
Serial Year
2014
Journal title
Meat Science
Record number
1491619
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