RESEARCH PAPER

Digestible Energy Prediction Model of Diets Containing Sugarcane By-Product for Cattle Based on Endogenous Indicator Method

  • ZHOU Bo ,
  • WEI Jiazhou ,
  • SHAO Pengcheng ,
  • MO Ruibo ,
  • WEI Zhijian ,
  • ZHANG Yu ,
  • ZOU Caixia ,
  • HE Renchun
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  • 1. College of Animal Science and Technology, Guangxi University, Nanning 530005, China;
    2. Guangxi Nongken Jinguang Dairy Co., Ltd., Nanning 530001, China;
    3. Guangxi Institute of Animal Science, Nanning 530002, China

Received date: 2022-04-22

  Online published: 2022-11-14

Abstract

This experiment aimed to establish the prediction model of digestible energy (DE) of diets containing sugarcane by-product for cattle. Thirty-six Simmental bulls with the body weight of (350±10) kg of about 1 year old were selected. The apparent digestibility of nutrients of cattle fed the diets containing sugarcane by-product was determined by endogenous indicator method, and the digestible nutrients were calculated. Correlation analysis, principal component analysis and regression analysis of digestible nutrients and DE of diet were processed by using SPSS 19.0 software, then the DE prediction equations were established. The results showed that DE was extremely significantly positively correlated with digestible organic matter (DOM), digestible neutral detergent fiber (DNDF) and digestible acid detergent fiber (DADF) (P<0.01), the DOM was extremely significantly positively correlated with DNDF and DADF (P<0.01), and the digestible dry matter (DDM) was extremely significantly negatively correlated with the digestible crude protein (DCP) (P<0.01).According to the principal component analysis results, the feature vector coefficient of DNDF was the largest in the first principal component, and their relationship was DE=0.220DDM+0.488DOM-0.327DCP+0.564DNDF+0.537DADF; the feature vector coefficient of DDM was the largest in the second principal component, and their relationship was DE=-0.626DDM+0.431DOM+0.561DCP+0.307DNDF-0.116DADF. Compared with other DE prediction regressions, the following two DE prediction regressions based on digestible nutrients of diets containing sugarcane by-product, DE=0.320+18.088DOM (R2=0.967, n=72, P<0.001) and DE=0.389-0.727DCP+18.082DOM (R2=0.967, n=72, P<0.001) had smaller error between predicted value and measured value. In conclusion, DOM is the main factor affecting the DE prediction based on diets containing sugarcane by-products. DE=0.320+18.088DOM and DE=0.389-0.727DCP+18.082DOM can be used to predict the DE of diets containing sugarcane by-product for cattle.

Cite this article

ZHOU Bo , WEI Jiazhou , SHAO Pengcheng , MO Ruibo , WEI Zhijian , ZHANG Yu , ZOU Caixia , HE Renchun . Digestible Energy Prediction Model of Diets Containing Sugarcane By-Product for Cattle Based on Endogenous Indicator Method[J]. Chinese Journal of Animal Nutrition, 2022 , 34(11) : 7421 -7430 . DOI: 10.3969/j.issn.1006-267x.2022.11.059

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