Prediction Model for Apparent Metabolizable Energy of Corn Distillers Dried Grains with Solubles in Poultry

LI Tingting; CAI Huiyi; YAN Haijie; ZHANG Shu; LIU Guohua; YANG Luliang; WANG Xiaorui

doi:10.3969/j.issn.1006-267x.2014.06.016

Chinese Journal of Animal Nutrition >

2014 , Vol. 26 >Issue 6: 1556 - 1562

DOI: https://doi.org/10.3969/j.issn.1006-267x.2014.06.016

Experimental Methods

Prediction Model for Apparent Metabolizable Energy of Corn Distillers Dried Grains with Solubles in Poultry

LI Tingting ,
CAI Huiyi ,
YAN Haijie ,
ZHANG Shu ,
LIU Guohua ,
YANG Luliang ,
WANG Xiaorui

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1. Feed Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China;
2. National Engineering Research Center of Biological Feed, Beijing 100081, China

Received date: 2013-12-05

Online published: 2014-05-30

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Abstract

This study was designed to establish the optimal model for predicting poultry apparent metabolizable energy (AME) of corn distillers dried grains with solubles (DDGS) from proximate composition. A total of 30 corn DDGS were sampled from all representative manufacturers in China. All samples were analyzed for crude protein (CP), ether extract (EE), crude fiber (CF), ash, neutral detergent fiber (NDF), acid detergent fiber (ADF), lightness (L^*), redness (a^*), yellowness (b^*) and gross energy (GE). A total of 72 Hy-Line brown roosters with body weight of (2.5±0.2) kg and at more than 18 weeks of age were randomly divided into 6 groups with 6 replicates per group and 2 roosters per replicate in a completely random experiment design, and each group randomly received one of corn DDGS samples for one time to detect the AME of corn DDGS in 5 periods of metabolism trial. The optimal regression model was established by phenotype correlation, path analysis and stepwise regression analysis between physical and chemical indicators and AME. The results showed as follows: 1) all proximate composition content had different levels of variations. Means for each nutrient were CP 27.86%, EE 8.49%, CF 8.52%, NDF 47.76%, ADF 15.55%, GE 19.47 MJ/kg and AME 8.62 MJ/kg, respectively, and the coefficients of variation were 8.49%, 36.77%, 18.07%, 22.85%, 17.04%, 4.31% and 12.87%, respectively. 2) The means of L^*, a^* and b^* of corn DDGS samples were 36.62, 7.59 and 18.52, respectively, and the coefficients of variation were 8.81%, 15.88% and 16.34%, respectively. The optimal regression model for AME of corn DDGS is AME=-3.950(±2.041)-0.533(±0.055 3)CF+0.245(±0.033 3)EE+0.771(±0.115)GE (R²=0.902,P<0.000 1).

Key words： corn DDGS; poultry; proximate composition; prediction model; AME

Cite this article

LI Tingting , CAI Huiyi , YAN Haijie , ZHANG Shu , LIU Guohua , YANG Luliang , WANG Xiaorui . Prediction Model for Apparent Metabolizable Energy of Corn Distillers Dried Grains with Solubles in Poultry[J]. Chinese Journal of Animal Nutrition, 2014 , 26(6) : 1556 -1562 . DOI: 10.3969/j.issn.1006-267x.2014.06.016

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