ACTA VETERINARIA ET ZOOTECHNICA SINICA ›› 2016, Vol. 47 ›› Issue (11): 2257-2265.doi: 10.11843/j.issn.0366-6964.2016.11.013

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Effect of Concentrate Source on Nutrient Digestibility and Establishment of Prediction Model of Metabolizable Energy in Mutton Sheep

ZHAO Jiang-bo 1,2,WEI Shi-lai 2,ZHAO Ming-ming 1,MA Tao 1,XIAO Yi 1,DING Jing-mei 1,LI Lan-jie 1,FENG Wen-xiao 1,JIA Peng 1,DIAO Qi-yu 1*   

  1. (1.Key Laboratory of Feed Biotechnology of Ministry of Agriculture, Feed Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China; 2.College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China)
  • Received:2016-02-01 Online:2016-11-23 Published:2016-11-23

Abstract:

The experiment was conducted to evaluate the feasibility for establishing the prediction model of the dietary metabolizable energy (ME) of compound feeds of sheep by using proximate anlaysis measurements or digestible nutrients. Sixty-six castrated Dorper × Thin-tailed Han crossbred rams ((49.6±1.3) kg of body weight) were randomly assigned into 11 groups(one basal diet group and 10 experimental diet groups). Digestibility trials were conducted to measure and calculate individual digestible energy (DE) and ME, establishing the metabolic energy and proximate nutrients and digestible nutrient prediction model with the linear regression method. The results indicated that: the OM and GE digestibility of diets were significantly related to CP, NDF, ADF and GE (P<0.01); CP digestibility was significantly related to CP, NDF and ADF (P<0.01), and significantly related to OM (P<0.05); NDF and ADF digestibility were significantly related to GE and CP (P<0.01). NDF digestibility was significantly related to OM and NDF (P<0.05). The prediction equation of dietary ME using proximate analysis measurements was ME (MJ•kg-1)=38.881 - 19.516ADF (%)- 28.672OM (%) (R 2 = 0.640, n=60, P<0.01); The prediction equation of dietary ME using digestible nutrients was ME (MJ•kg-1) = 1.613DE (MJ•kg-1)-14.705DOM (%) + 2.743DNDF (%)- 3.179 (R 2=0.879, n=60, P<0.01). In conclusion, there were significant correlations between proximate nutrients, digestible nutrients and ME. The prediction model of proximate nutrients and digestible nutrients can be used in routine analysis.

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