利用CNCPS优化奶水牛泌乳高峰期日粮的效果评价  

CNCPS Optimizing the Diet of Dairy Buffalo During Lactation Peak

作　　者：赵茜[1] 王继彤[2] 熊颖[1] 顾美超[3] Laura Gasco 郭凯军[1] 

机构地区：[1]北京农学院动物科学技术学院,北京102206 [2]北京市饲料监察所,北京100107 [3]都灵大学农林食品科学部,意大利都灵10095

出　　处：《中国农学通报》2016年第17期1-6,共6页Chinese Agricultural Science Bulletin

基　　金：北京市农委项目"奶牛节粮节水精准化饲养技术引进"(20150125);北京市属高校教师队伍建设;创新团队建设提升计划项目"肉牛种质创新与利用"(PXM2013014207000067)

摘　　要：康奈尔净碳水化合物和净蛋白质体系(CNCPS)是国际上公认的最权威的反刍动物营养模型之一。为了验证CNCPS预测奶水牛生产性能的准确性和提高生产性能的可能性,本试验选择产奶量、年龄、胎次和体况均相近的地中海奶水牛45头,平均体重为600 kg,泌乳期为产犊后60天左右。将试验牛随机分成3组,对照组为牧场原有的TMR日粮配方,优化组1和2分别是在原有配方的基础上利用CNCPS生成优化配方1和优化配方2。按照CNCPS 6.5分析奶水牛饲料原料营养组分,并研究利用其优化奶水牛泌乳高峰期日粮的效果。结果表明:应用CNCPS体系评价饲料营养组分有助于对奶水牛日粮配方的优化,奶水牛实际产奶量和代谢蛋白或代谢能允许产奶量无显著差异,优化组产奶量高于对照组。CNCPS体系可以用来预测奶水牛产奶量,并能够优化日粮,提高产奶量。The Cornell Net Carbohydrate and Protein System（CNCPS） is one of the most authoritativeruminant nutrition models accepted internationally. To verify the accuracy of CNCPS in predicting productionperformance of dairy buffaloes and its reliability in improving production performance, 45 Mediterraneanbuffaloes with similar milk yield, age, parity and body condition were chosen to conduct the experiment. Theaverage weight of the buffaloes was 600 kg and the lactation was 60 days after calving. They were randomlydivided into three groups. The control group was applied with the TMR formula that was used by the farm, OG1 and OG2 were applied with the optimized formula 1 and optimized formula 2 generated by CNCPS. The feedingredients were analyzed according to CNCPS 6.5 and then the optimizing effect of CNCPS on diet wasevaluated. The results showed that feed analysis according to CNCPS helped the optimization of buffalo diet.The practical milk production had no significant difference with the predicted milk production by metabolicprotein or metabolic energy. OG 1 and OG2 had higher milk production than that of the control group（P〈0.05）,indicating that CNCPS system could be used to predict and increase milk production and optimize the diet.

关 键 词：奶水牛 CNCPS 优化日粮 产奶量 

分 类 号：S81[农业科学—畜牧学]