动物营养学报 >

2018 , Vol. 30 >Issue 3: 1063 - 1072

DOI: https://doi.org/10.3969/j.issn.1006-267x.2018.03.031

实验方法 Experimental Methods

大麦秸秆:康奈尔净碳水化合物与蛋白质体系评定组分及近红外光谱分析技术预测营养价值

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  • 1. 兰州大学草地农业科技学院, 草地农业生态系统国家重点实验室, 兰州 730020;
    2. 四川农业大学, 动物营养研究所, 成都 611130;
    3. 甘肃省肉羊繁育生物技术工程实验室, 民勤 733300
李国彰(1988-),男,甘肃酒泉人,硕士研究生,动物营养与饲料科学专业。E-mail:18919900993@163.com

收稿日期: 2017-08-31

  网络出版日期: 2018-03-05

基金资助

公益性行业（农业）科研专项-北方农作物秸秆饲用化利用技术研究与示范（201503134）；兰州大学中央高校基本科研业务费专项资金资助（lzujbky-2017-48）；长江学者和创新团队发展计划资助（IRT13019）

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Barley Straw: Evaluation of Components in Cornell Net Carbohydrate and Protein System and Prediction of Nutritional Value by Near Infra-Red Spectrum

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  • 1. Key Laboratory of Grassland Farming Systems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China;
    2. Animal Nutrition Institute, Sichuan Agricultural University, Chengdu 611130, China;
    3. Mutton Sheep Breeding Biotechnology Engineering Laboratory of Gansu, Minqin 733300, China

Received date: 2017-08-31

  Online published: 2018-03-05

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摘要

本试验旨在基于康奈尔净碳水化合物与蛋白质体系（CNCPS）建立大麦秸秆营养组分数据库，并利用近红外光谱分析技术（NIRS）建立其营养价值预测模型。试验采集甘肃省13个县市96份大麦秸秆样品，测定其干物质（DM）、粗灰分（Ash）、粗蛋白质（CP）、粗脂肪（EE）、中性洗涤纤维（NDF）、酸性洗涤纤维（ADF）、酸性洗涤木质素（ADL）、中性洗涤不溶蛋白质（NDIP）、酸性洗涤不溶蛋白质（ADIP）、可溶性粗蛋白质（SP）、钙（Ca）和磷（P）含量，利用CNCPS 6.5计算各样品碳水化合物（CHO）和蛋白质营养组分。分别用76份和20份大麦秸秆样品作为定标集和验证集评价NIRS预测模型。结果显示：1）大麦秸秆DM、Ash、CP、EE、NDF、ADF、ADL、NDIP、ADIP、SP、Ca和P含量分别为95.21%、7.38%、3.51%、5.68%、70.95%、45.16%、5.17%、1.02%、0.57%、1.65%、0.71%和0.09%。2）大麦秸秆CNCPS CHO各组分CHO、非纤维性碳水化合物（NFC）、可溶性纤维（CB2）、可消化纤维（CB3）和不消化纤维（CC）含量分别为83.42%、12.47%、12.47%、58.55%和12.40%。大麦秸秆CNCPS蛋白质各组分可溶性真蛋白质（PA2）、难溶性真蛋白质（PB1）、纤维结合蛋白质（PB2）和非降解蛋白质（PC）含量分别为1.65%、1.23%、0.45%和0.57%。3）有机物（OM）、CP、NDF、ADF、CHO、NFC和CB2的交互验证决定系数（1-VR）>0.8，验证决定系数（RSQv）≥ 0.84，这些模型可用于日常分析。OM、CP、NDF、ADF、CHO、NFC和CB2的模型参数分别为标准正常化和去散射二阶导数处理（SNV and detrend 2，4，4，1）、SNV and detrend 2，4，4，1；标准正常化和去散射一阶导数处理（SNV and detrend 1，4，4，1）；无散射一阶导数处理（None 1，4，4，1）；SNV and detrend 2，4，4，1；无散射二阶导数处理（None 2，4，4，1）；None 2，4，4，1。而其余成分所建模型未达到实用水平，模型须进一步完善。总之，本研究为大麦秸秆在反刍动物饲粮中的应用提供基础的化学分析数据，并通过NIRS方法建立了主要营养成分的快速预测模型。

关键词： 大麦秸秆; 康奈尔净碳水化合物与蛋白质体系; 近红外光谱分析技术; 营养价值

本文引用格式

李国彰, 喻笑男, 王志兰, 马万浩, 邓颖, 董春晓, 闫佰鹏, 兰贵生, 李飞, 李发弟, 翁秀秀 . 大麦秸秆:康奈尔净碳水化合物与蛋白质体系评定组分及近红外光谱分析技术预测营养价值[J]. 动物营养学报, 2018 , 30(3) : 1063 -1072 . DOI: 10.3969/j.issn.1006-267x.2018.03.031

Abstract

This study aimed at establishing a database of nutritional value of barley straw based on the Cornell net carbohydrate and protein system (CNCPS), and founding nutritional value prediction models with near infra-red spectrum (NIRS). A total of 96 barley straw samples were collected from 13 counties and cities in Gansu province. Contents of dry matter (DM), crude ash (Ash), crude protein (CP), ether extract (EE), neutral detergent fiber (NDF), acid detergent fiber (ADF), acid detergent lignin (ADL), neutral detergent insoluble protein (NDIP), acid detergent insoluble protein (ADIP), soluble protein (SP), calcium (Ca) and phosphorus (P) were determined. Then the carbohydrate (CHO) and protein components were calculated by CNCPS. NIRS models were evaluated using 76 samples and 20 samples as calibration and validation database, respectively. The results showed as follows:1) contents of DM, Ash, CP, EE, NDF, ADF, ADL, NDIP, ADIP, SP, Ca and P of barley straw were 95.21%, 7.38%, 3.51%, 5.68%, 70.95%, 45.16%, 5.17%, 1.02%, 0.57%, 1.65%, 0.71% and 0.09%, respectively. 2) Contents of CHO, non fiber carbohydrates (NFC), soluble fiber (CB2), digestible fiber (CB3) and indigestible fiber (CC) of barley straw of CHO components defined by CNCPS were 83.42%, 12.47%, 12.47%, 58.55% and 12.40%, respectively. Contents of soluble true protein (PA2), insoluble true protein (PB1), fiber conjugated protein (PB2) and undegradable protein (PC) of barley of protein components defined by CNCPS were 1.65%, 1.23%, 0.45% and 0.57%, respectively. 3) Cross validation determinant coefficient (1-VR)>0.8, and the verification decision coefficient (RSQv) ≥ 0.84 for the model parameters of OM, CP, NDF, ADF, CHO, NFC and CB2, which suggested that the models can be used for actual analysis. Model parameters of OM, CP, NDF, ADF, CHO, NFC and CB2 were SNV and detrend 2, 4, 4, 1; SNV and detrend 2, 4, 4, 1; SNV and detrend 1, 4, 4, 1; None 1, 4, 4, 1; SNV and detrend 2, 4, 4, 1; None 2, 4, 4, 1; None 2, 4, 4, 1; respectively. Other models did not reach the practical application level. In conclusion, the study provide chemical analysis data for the application of barley straw in diet for ruminants, and establish models for prediction of main nutrients by NIRS.

Key words： barley straw; Cornell net carbohydrate and protein system; near infra-red spectrum; nutritional value

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