利用近红外光谱技术快速评定油菜秸秆的营养价值
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  • 英文篇名:Rapid evaluation of nutritional value of rape straw by near infrared spectroscopy
  • 作者:闫佰鹏 ; 王芳彬 ; 李成海 ; 周文静 ; 李发弟 ; 李飞
  • 英文作者:YAN Baipeng;WANG Fangbin;LI Chenghai;ZHOU Wenjing;LI Fadi;LI Fei;State Key Laboratory of Grassland Agro-ecosystems,Key Laboratory of Grassland Livestock Industry Innovation,Ministry of Agriculture and Rural Affairs,College of Pastoral Agriculture Science and Technology,Lanzhou University;Administration of Animal Husbandry Industry in Gansu Province;Jinchang Jujia Ecological Agriculture Co., Ltd.;Engineering Laboratory of Mutton Sheep Breeding and Reproduction Biotechnology in Gansu Province;
  • 关键词:油菜秸秆 ; 预测模型 ; 常规化学分析法 ; 粗蛋白 ; 中性洗涤纤维 ; 粗脂肪 ; 粗灰分
  • 英文关键词:rape straw;;prediction model;;conventional chemical assay;;crude protein;;neutral detergent fiber;;ether extract;;coarse ash
  • 中文刊名:CYKX
  • 英文刊名:Pratacultural Science
  • 机构:兰州大学草地农业生态系统国家重点实验室/兰州大学农业农村部草牧业创新重点实验室/兰州大学草地农业科技学院;甘肃省畜牧业产业管理局;金昌居佳生态农业有限公司;甘肃省肉羊繁育生物技术工程实验室;
  • 出版日期:2019-02-15
  • 出版单位:草业科学
  • 年:2019
  • 期:v.36;No.307
  • 基金:公益性行业(农业)科研专项经费(201503134、2015-2019);; 兰州大学中央高校基本科研业务费专项资金(lzujbky 2017-48);; 长江学者和创新团队发展计划(IRT_17R50)
  • 语种:中文;
  • 页:CYKX201902026
  • 页数:9
  • CN:02
  • ISSN:62-1069/S
  • 分类号:255-263
摘要
本研究旨在利用近红外光谱技术(near infrared reflectance spectroscopy, NIRS)建立油菜(Brassica napus)秸秆常规成分的近红外快速预测模型。从甘肃省、青海省与宁夏回族自治区共采集125份油菜秸秆,测定其干物质(dry matter,DM)、粗蛋白(crude protein, CP)、中性洗涤纤维(neutral detergent fiber, NDF)、酸性洗涤纤维(acid detergent fiber, ADF)、粗脂肪(ether extract, EE)、粗灰分(Ash)、中性洗涤不溶蛋白质(neutral detergent insoluble protein, NDIP)、酸性洗涤不溶蛋白质(acid detergent insoluble protein, ADIP)、酸性洗涤木质素(acid detergent lignin, ADL)、非蛋白氮(non-protein nitrogen,NPN)与可溶性蛋白(soluble protein, SP)。选取100份油菜秸秆样品作为定标集,另外25份作为验证集来评价NIRS预测模型。结果显示,1)油菜秸秆DM、CP、NDF、ADF、EE、Ash、NDIP、ADIP、ADL、NPN和SP的含量分别为93.62%、5.85%、 67.22%、 55.40%、 2.57%、 7.66%、 1.04%、 0.63%、 13.58%、 1.70%和2.89%。2)DM、 CP、 NDF、 EE、 Ash、NPN和SP的交互验证决定系数(1-VR)> 0.9,外部验证决定系数(RQS≥0.84),构建模型可以用于日常分析。3)DM、CP、NDF、EE、Ash、NPN和SP的模型参数分别为Standard MSC 1,4,4,1、Weighted MSC 2,4,4,1、SNV 2,4,4,1、Standard MSC 1,4,4,1、SNV and Detrend 1,4,4,1、Weighted MSC 1,4,4,1,其余营养成分构建模型不太理想,需进一步完善。综上,通过交互验证与外部验证验证了油菜秸秆各营养成分校正模型的可利用性。
        The experiment aims to establish a near-infrared fast-prediction model which measures the nutrition components of rapeseed straw using near-infrared reflectance spectroscopy(NIRS). 125 rape straw samples were collected from Gansu Province, Qinghai Province and Ningxia Hui Autonomous Region, and then the dry matter(DM), crude protein(CP), neutral detergent fiber(NDF), acid detergent fiber(ADF), ether extract(EE), coarse ash(Ash), neutral detergent insoluble protein(NDIP), acidic detergent insoluble protein(ADIP), acid detergent lignin(ADL), non-protein nitrogen(NPN) and soluble protein(SP) of the samples were determined. 100 rape straw samples were selected as calibration set to build calibration models. Another 25 samples were used as external validation set to evaluate the NIRS prediction model. The results showed that: 1) the contents of DM, CP, NDF, ADF, EE, Ash, NDIP, ADIP, ADL and NPN in rape straw were 93.62%, 5.85%,67.22%, 55.40%, 2.57%, 7.66% and 1.04%, 0.63%, 13.58%, 1.70%, respectively. 2) The coefficient of determination for cross-validation(1-VR) and coefficient of determination for calibration of DM, CP, NDF, EE, Ash, NPN and SP were greater than 0.9 and 0.84, respectively, indicating that these NIRS models could be used in routine analysis. 3)The model parameters of DM, CP, NDF, EE, Ash, NPN and SP were Standard MSC 1,4,4,1, Weighted MSC 2,4,4,1, SNV 2,4,4,1, Standard MSC1,4,4,1, SNV and Detrend 1,4,4,1, Weighted MSC 1,4,4,1, respectively, whereas the model of other nutritional components is not ideal and needs further improvement. In summary, the availability of nutritional composition correction model for rape straw was verified by internal and external validation.
引文
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