摘要
回肠氨基酸消化率是评定氨基酸消化率的重要指标,利用回肠氨基酸消化率来完善家禽饲料数据库意义重大。文章综述了家禽饲料氨基酸利用率评定体系,包括生长试验、收粪法、回肠氨基酸消化率在内的体内法与酶解法等体外法,比较了多元线性回归方程与人工神经网络在建立家禽氨基酸利用率动态预测模型中的研究进展。多元线性回归法是建立动态预测模型的工具之一,可以高效、快速地估算出饲料氨基酸利用率,可为家禽饲料的科学配制提供参考。
Ileo amino acid digestion rate is an important index to evaluate amino acid digestion rate,using ileal amino acid digestibility to improve poultry feedstuff database is of great significance.The article summarizes evaluation system of amino acid utilization rate of poultry feedstock,including enzymolysis in vitro and in vivo methods such as growth test,fecal collection method,ileal amino acid digestibility,compared the research of multiple linear regression equation and artificial neural network in establishing dynamic prediction model of amino acid utilization rate of poultry.The multiple linear regression method is one of the tools for establishing dynamic prediction models,which can efficiently and quickly estimate amino acid utilization rate of feedstuff and provide reference for scientific formulation of poultry feedstuff.
作者
汪子怡
邢通
张林
高峰
WANG Zi-yi;XING Tong;ZHANG Lin;GAO Feng
出处
《饲料研究》
CAS
北大核心
2023年第14期139-143,共5页
Feed Research
基金
国家重点研发计划课题(项目编号:2021YFD1300203)
江苏现代农业产业技术体系建设专项(项目编号:JATS[2022]460)。
关键词
家禽
氨基酸消化率
预测方程
poultry
amino acid digestibility
predictor equation
