中红外光谱技术在牛奶营养物质预测及奶牛相关特性分析上的应用

董利锋; YAN Tianhai; 屠焰; 刁其玉

doi:10.3969/j.issn.1006-267x.2016.02.004

动物营养学报 >

2016 , Vol. 28 >Issue 2: 326 - 334

DOI: https://doi.org/10.3969/j.issn.1006-267x.2016.02.004

综述 Review

中红外光谱技术在牛奶营养物质预测及奶牛相关特性分析上的应用

董利锋 ,
YAN Tianhai ,
屠焰 ,
刁其玉

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1. 中国农业科学院饲料研究所, 北京奶牛营养学重点实验室, 农业部饲料生物技术重点实验室, 北京 100081;
2. 农业食品与生物科学研究所, 希尔斯伯勒BT26 6DR

收稿日期: 2015-08-24

网络出版日期: 2016-02-19

基金资助

奶牛产业技术体系北京市创新团队营养评价与饲料配方岗位(BJNN-01);华北农区及北方大城市奶牛健康养殖生产技术集成及产业化示范(2012BAD12B06)

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Application of Mid-Infrared Spectrometry in Milk Nutrient Components Prediction and Related Traits Analysis of Dairy Cows

DONG Lifeng ,
YAN Tianhai ,
TU Yan ,
DIAO Qiyu

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1. Key Laboratory of Feed Biotechnology of the Ministry of Agriculture, Feed Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China;
2. Agri-Food and Biosciences Institute, Hillsborough BT26 6DR, UK

Received date: 2015-08-24

Online published: 2016-02-19

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摘要

近年来,许多研究表明采用中红外光谱(MIRS)分析技术能够对牛奶中各营养物质(如脂肪酸、蛋白质和矿物质)及潜在的有害物质(如掺杂物、抗生素)进行实时、快速和准确地定量分析,并以此建立预测模型来对奶牛的营养(如饲料转化率、能量利用效率和甲烷排放)、健康(如乳房炎和代谢性疾病)和生殖生理与繁殖状况进行鉴定、评估和筛选,从而为优化畜牧养殖业生产方式,发展创新畜牧养殖业循环经济模式,实现低碳、健康和可持续发展提供有效的技术保障。因此本文主要就近年来国际上最新的关于MIRS分析技术在牛奶营养物质测定及奶牛相关特性分析方面的研究进展进行综述。

关键词： 中红外光谱; 预测模型; 牛奶成分; 奶牛

本文引用格式

董利锋 , YAN Tianhai , 屠焰 , 刁其玉 . 中红外光谱技术在牛奶营养物质预测及奶牛相关特性分析上的应用[J]. 动物营养学报, 2016 , 28(2) : 326 -334 . DOI: 10.3969/j.issn.1006-267x.2016.02.004

Abstract

In recent years, the mid-infrared spectrometry (MIRS) analysis of milk has been used as a potential tool for the rapid and accurate quantification of milk nutrient components, such as fatty acids, proteins and minerals, and potential harmful materials, such as adulteration and antibiotics. Furthermore, the MIRS prediction equations derived from the milk analysis can provide simultaneous detection of cows' nutrition (feed conversion rate, energy utilization efficiency and methane emission), health (mammitis and metabolic diseases), reproduction physiology and fertility conditions. These researches may provide technical insurance for optimization of production mode, development of the innovative circular economy mode and realization of low carbon, healthy and sustainable development in animal husbandry industry. This paper mainly reviewed the use of MIRS to predict milk nutrient components and related traits analysis of dairy cows worldwide in recent years.

Key words： MIRS; prediction model; milk components; dairy cows

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