中国畜牧兽医2026，Vol.53Issue(5)：2266-2275,10.DOI:10.16431/j.cnki.1671-7236.2026.05.008
牛奶中红外光谱信息在预测奶牛剩余采食量中的应用进展
Progress in the Application of Mid-infrared Spectroscopy Information in Milk for Predicting Residual Feed Intake of Dairy Cows
摘要
Abstract
Residual feed intake(RFI)is defined as the difference between an animal's actual feed intake and its expected feed intake for maintenance and production,which is widely used to assess feed efficiency(FE).Improving FE in dairy cows can reduce production costs,enhance the economic performance of dairy farming,and mitigate greenhouse gas emissions,etc.RFI and FE have a strong genetic correlation and a high heritability(0.20-0.57).FE can be measured by predicting the RFI of dairy cows,thereby selecting dairy cows with higher FE.Mid-infrared spectroscopy(MIRS)is a tool that can predict the chemical composition of milk.In recent years,MIRS has been applied to predict indicators such as sodium,potassium and magnesium contents in milk,fatty acid content,and RFI of dairy cows.Its advantages include low cost,high throughput,easy acquisition,and high accuracy.This article provides a detailed introduction to the lactation stage of RFI determination,RFI calculation model,and MIRS in milk analysis technology,prediction RFI model,and model evaluation methods.Studies have shown that the ability of MIRS to predict RFI in dairy cows varies depending on the lactation stage and model variables,and its accuracy ranges from 0.46 to 0.60.It is expected to provide a reference for subsequent model optimization and to find a fast,efficient,and low-cost method for breeding dairy cows with high FE,fundamentally saving feed costs for the dairy industry,reducing methane emissions,and providing important support for efficient,green,and sustainable development.关键词
饲料效率/奶牛/牛奶中红外光谱/剩余采食量Key words
feed efficiency/dairy cows/mid-infrared spectrum in milk/residual feed intake分类
农业科技引用本文复制引用
徐家棋,李荣岭,李建斌,鞠林,徐千雯,赵秀新,刘燕,薛光辉,苑昭伟,杨健,王晓..牛奶中红外光谱信息在预测奶牛剩余采食量中的应用进展[J].中国畜牧兽医,2026,53(5):2266-2275,10.基金项目
财政部和农业农村部:国家现代农业产业技术体系(CARS-36) （CARS-36）
国家农业重大科技项目(NK20221201) （NK20221201）
