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近红外光谱法测定紫花苜蓿青贮鲜样的营养价值
引用本文:陈鹏飞,戎郁萍,韩建国,王纪华,张录达,徐晓杰.近红外光谱法测定紫花苜蓿青贮鲜样的营养价值[J].光谱学与光谱分析,2007,27(7):1304-1307.
作者姓名:陈鹏飞  戎郁萍  韩建国  王纪华  张录达  徐晓杰
作者单位:1. 中国农业大学动物科技学院,北京,100094
2. 国家农业信息化工程技术研究中心,北京,100089
3. 中国农业大学理学院,北京,100094
4. 热电(上海)科技仪器有限公司,北京,100032
基金项目:引进国际先进农业科技计划(948计划) , 国家科技攻关计划 , 国家自然科学基金
摘    要:应用近红外光谱技术(NIRS)直接分析新鲜饲草的营养价值,如饲草中干物质(DM),粗蛋白(CP),中性洗涤纤维(NDF),酸性洗涤纤维(ADF)含量,对畜牧业生产具有重要意义.鲜草中由于含有较多的水分,不易制备均一的样品和进行光谱中有用信息的提取,因此难于进行近红外光谱分析.本试验应用偏最小二乘回归法(PLS)、傅里叶变换近红外光谱技术和液氮冷冻制样技术,建立了适合于不同品种,不同生育期,不同茬次和不同青贮方法即时测定青贮苜蓿鲜样中DM,CP,NDF,ADF的模型,以期对NIRS在测定紫花苜蓿青贮鲜样品这些成分测定的可行性进行分析.所建DM,CP,NDF和ADF模型的交叉检验决定系数(R2cv)为0.884 6~0.989 8,交叉检验标准误(RMSECV)为3.9~9.7 g·kg-1鲜重.用50个样品对模型进行外部检验,预测相关系数(r)为0.939 7~0.994 9,预测标准误为1.9~8.3 g·kg-1鲜重.结果表明:采用适当的样品处理方法和光谱分析技术可以实现近红外光谱技术对苜蓿青贮鲜样的营养价值评定.

关 键 词:紫花苜蓿青贮  营养成分  未干燥  近红外漫反射光谱
文章编号:1000-0593(2007)07-1304-04
修稿时间:2006-04-162006-07-26

Evaluation of Fresh Sample of Alfalfa Silage Through Near Infrared Reflectance Spectroscopy (NIRS)
CHEN Peng-fei,RONG Yu-ping,HAN Jian-guo,WANG Ji-hua,ZHANG Lu-da,XU Xiao-jie.Evaluation of Fresh Sample of Alfalfa Silage Through Near Infrared Reflectance Spectroscopy (NIRS)[J].Spectroscopy and Spectral Analysis,2007,27(7):1304-1307.
Authors:CHEN Peng-fei  RONG Yu-ping  HAN Jian-guo  WANG Ji-hua  ZHANG Lu-da  XU Xiao-jie
Institution:1. College of Animal Science and Technology, China Agricultural University, Beijing 100094, China 2. National Engineering Research Center for Information Technology in Agriculture, Beijing 100089, China 3. College of Science, China Agricultural University, Beijing 100094, China 4. Thermal Electron Technologies and Instruments Company, Beijing 100032, China
Abstract:It is very important to evaluate the fresh sample of alfalfa silage using near infrared reflectance spectroscopy technology (NIRS) for animal production. The nutrient content of forage means the contents of dry matter (DM), crude protein (CP), neutral detergent fiber (NDF), and acid detergent fiber (ADF) in the forage. Because of the high moisture content, it is difficult to make uniform samples for fresh forage and to get useful information from the spectrum. Therefore, it is hard to use NIRS analysis. In order to evaluate the feasibility of using NIRS to analyse the fresh alfalfa silage, the DM, CP, NDF and ADF contents of fresh alfalfa silage were evaluated by the near infrared reflectance spectroscopy model in this experiment using partial least square regression (PLS), Fourier transform technology and sample preparation with liquid nitrogen technology. The analysis samples were obtained through different cultivars, maturity, cuttings and ensiling method. The cross validation was determined between 0.884 6-0. 989 8. The standard error of cross validation was between 3.9 and 9.7 g x kg(-1) fresh weight. Fifty samples were used to test the performance of the models. The coefficients of correlation between the chemical value and the NIRS value are between 0.939 7 and 0.994 9, and the root mean square errors of prediction are between 1.9 and 8.3 g x kg(-1) fresh weight. The results showed that NIRS could be used to evaluate the nutrition of fresh forage.
Keywords:Alfalfa silage  Nutrient content  Undried  Near infrared reflectance spectroscopy
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