康奈尔净碳水化合物-蛋白质体系在反刍动物生产中的应用研究  

Applied Research of Cornell Net Carbohydrate and Protein System in Ruminant Production

作　　者：马小俊 杨宇为 马青 周玉香[1] MA Xiaojun;YANG Yuwei;MA Qing;ZHOU Yuxiang(School of Agriculture,Ningxia University,Yinchuan 750021,China;Institute of Animal Science,Ningxia Academy of Agriculture and Forestry,Yinchuan 750002,China)

机构地区：[1]宁夏大学农学院,银川750021 [2]宁夏农林科学院动物科学研究所,银川750002

出　　处：《动物营养学报》2023年第6期3478-3490,共13页CHINESE JOURNAL OF ANIMAL NUTRITION

基　　金：宁夏重点研发项目(2022BBF02020)。

摘　　要：康奈尔净碳水化合物-蛋白质体系(CNCPS)是由美国康奈尔大学学者提出的一种基于动物、环境和饲料成分信息,将饲料的生物学特性与动物的消化利用情况有机结合,在不同生产情况下预测动物需要量和营养供应的模型。近年来,应用CNCPS进行饲料营养价值评定的研究越来越多。本文简述了CNCPS的特点,重点阐述了CNCPS对饲料原料的营养价值评定以及对反刍动物饲粮及生产性能的预测评估及其推进发展,并分析了CNCPS与其他评价体系联合应用的情况。Cornell net carbohydrate and protein system(CNCPS)is a model proposed by scholars at Cornell University,to predict animal requirements and nutrient supply under different production situations by organically combining the biological properties of feeds with the digestive utilization of animals based on the information of animals,environment and feed ingredients.In recent years,more and more studies have been conducted to apply CNCPS for nutritional value assessment of feed ingredients.In this paper,the characteristics of CNCPS was briefly described,the nutritional value assessment of feed ingredients,the predictive assessment of ruminant diets and performance and its advancement were emphasized,and the application in combination with other evaluation systems was also analyzed.

关 键 词：康奈尔净碳水化合物-净蛋白质体系 饲料营养价值评定 反刍动物 生产性能预测 

分 类 号：S816[农业科学—饲料科学]