Ruminant Nutrition

Clustering Analysis of Several Regular Raw Materials of Chinese Dairy Feed Based on CPM-Dairy

  • LIU Chanjuan ,
  • ZHAO Xianghui ,
  • XU Ming ,
  • CAO Yangchun ,
  • YANG Ting ,
  • YAO Junhu
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  • 1. College of Animal Science and Technology, Northwest A & F University, Yangling 712100, China;
    2. College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, China;
    3. College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China

Received date: 2013-04-01

  Online published: 2013-09-16

Abstract

Based on the technique theories of Cornell Net Carbohydrate and Protein System (CNCPS) and CPM-Dairy formula software, this study was conducted to do clustering analysis for several regular raw materials of Chinese dairy feed. By the methods of near infrared analysis and laboratory analysis, sixteen types of parameters for 4 classifications (dry alfalfa hay, distiller's dried grains with solubles produced from DDGS, corn meal and corn silage), totally 1 169 regular feed samples for Chinese dairy were determined, and the samples separated into different categories by clustering analysis. The results showed that dry alfalfa hay, DDGS, corn meal and corn silage were separated into 12, 10, 5 and 6 categories, respectively. In conclusion, the results determined by clustering analysis are corresponded to the requirement of raw material database of CPM-Dairy, and are quite reliable.

Cite this article

LIU Chanjuan , ZHAO Xianghui , XU Ming , CAO Yangchun , YANG Ting , YAO Junhu . Clustering Analysis of Several Regular Raw Materials of Chinese Dairy Feed Based on CPM-Dairy[J]. Chinese Journal of Animal Nutrition, 2013 , 25(10) : 2325 -2336 . DOI: 10.3969/j.issn.1006-267x.2013.10.016

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