期刊
MEAT SCIENCE
卷 92, 期 4, 页码 754-761出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.meatsci.2012.06.034
关键词
NMR assignment; PLS-DA; Longissimus dorsi; Semitendinosus; Intelligent bucketing
资金
- Agricultural Research Council
- Ministero per le politiche agricole, alimentari e forestali
H-1-high resolution magic angle spinning-nuclear magnetic resonance spectroscopy was employed to gain the metabolic profile of longissimus dorsi and semitendinosus muscles of four different breeds: Chianina, Holstein Friesian, Maremmana and Buffalo. Principal component analysis, partial least squares projection to latent structure - discriminant analysis and orthogonal partial least squares projection to latent structure - discriminant analysis were used to build models capable of discriminating the muscle type according to the breed. Data analysis led to an excellent classification for Buffalo and Chianina, while for Holstein Friesian the separation was lower. In the case of Maremmana the use of intelligent bucketing was necessary due to some resonances shifting allowed improvement of the discrimination ability. Finally, by using the Variable Importance in Projection values the metabolites relevant for the classification were identified. (C) 2012 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据