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作 者:赵江波[1,2] 魏时来[2] 赵明明[1] 马涛[1] 肖怡[1] 丁静美 李岚捷 冯文晓[1] 贾鹏[1] 刁其玉[1] ZHAO Jiang-bo WEI Shi-lai ZHAO Ming-ming MA Tao XIAO Yi DING Jing-mei LI Lan-jie FENG Wen-xiao JIA Peng DIAO Qi-yu(Key Laboratory of Feed Biotechnology of Ministry of Agriculture, Feed Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China College of Animal Science and Technology , Gansu Agricultural University, Lanzhou 730070, China)
机构地区:[1]中国农业科学院饲料研究所,农业部饲料生物技术重点实验室,北京100081 [2]甘肃农业大学动物科学技术学院,兰州730070
出 处:《畜牧兽医学报》2016年第11期2257-2265,共9页ACTA VETERINARIA ET ZOOTECHNICA SINICA
基 金:国家肉羊产业技术体系(CARS-39);国家“十二五”支撑计划“肉羊健康养殖模式构建与示范”(2011BAZ01734)
摘 要:本试验旨在通过概略养分或可消化养分建立肉用绵羊配合饲料代谢能预测模型。选取66只18月龄体重为(49.6±1.3)kg的杜泊×小尾寒羊F1代杂交去势肉羊,采用完全随机试验设计。共11个处理,包括1个基础饲粮组和10个试验饲粮组。分别测定10种试验饲粮的概略养分和可消化养分;代谢试验测定10种试验饲粮的消化能(DE)和代谢能(ME);线性回归方法建立代谢能与概略养分和可消化养分的预测模型。结果表明,饲粮的OMD和GED与CP、NDF、ADF、GE相关极显著(P<0.01);CPD与CP、NDF、ADF相关极显著(P<0.01),与OM相关显著(P<0.05);NDFD和ADFD与GE和CP相关极显著(P<0.01),NDFD与OM和NDF相关显著(P<0.05)。建立的饲料概略养分代谢能预测模型:ME(MJ·kg-1)=38.881-19.516ADF(%)-28.672OM(%)(R2=0.640,n=60,P<0.01);可消化养分代谢能预测模型:ME(MJ·kg-1)=1.613DE(MJ·kg-1)-14.705DOM(%)+2.743DNDF(%)-3.179(R2=0.879,n=60,P<0.01)。综上表明,饲料概略养分和可消化养分与代谢能之间相关性显著,可以通过概略养分和可消化养分对饲料的代谢能进行有效的预测。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 (%) (R2= 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 (%) 4- 2. 743DNDF (%)- 3. 179 (R2 =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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