近红外光谱技术在天然草地牧草营养价值评价中的应用及展望

doi:10.11924/j.issn.1000-6850.2014-0725

摘要/Abstract

摘要： 近红外光谱技术(NIRS)是近几十年迅速发展的测试分析技术，由于准确、高效、无损等检测优势，在牧草营养价值评价领域得到广泛应用，但是在天然草地牧草方面应用较少。快速、实时评价天然草地牧草营养价值，为研究天然草地营养供给和营养载畜量提供基础数据，对草地畜牧业生产具有重要意义。文章阐述了近红外光谱技术的基本原理和特点，介绍了直接法和间接法评价牧草营养价值，分别从常规营养成分、矿物元素、抗营养成分、营养物质消化率4个层次综述近红外光谱技术在2个方法中的应用，并做出展望，以期建立基于NIRS技术的天然草地牧草营养价值数据库，为天然草地的科学管理和合理利用发挥重要作用。

关键词: 建议, 建议

Abstract: As a rapidly developed analysis technology in recent decades, Near Infrared Reflectance Spectroscopy (NIRS) has been widely used in forage nutritional assessment due to its accurate, high efficiency and lossless. Assessing nutritional status of natural pasture accurately and timely can offer basic data of pasture nutrient supply and livestock carrying capacity, and is very important for grassland livestock production. This paper illustrates the principle and characteristics of NIRS, describes the direct and indirect methods to assess nutritive of forage from four levels, including conventional nutrients, minerals, anti-nutrients and nutrient digestibility, and looks into the future of NIRS utilization, in order to set a data base of pasture's nutrition and promote the application of NIRS in natural pasture, and contribute to the scientific management and rational utilization of pasture.

杜雪燕,王迅,柴沙驼,刘书杰. 近红外光谱技术在天然草地牧草营养价值评价中的应用及展望[J]. 中国农学通报, 2014, 30(35): 1-6.

Du Xueyan,Wang Xun,Chai Shatuo and Liu Shujie. Application of Near Infrared Reflectance Spectroscopy (NIRS) in Assessing Nutritional Value of Natural Grassland Pasture and Its Prospect[J]. Chinese Agricultural Science Bulletin, 2014, 30(35): 1-6.

参考文献

[1] 金花.基于3S技术支持的草地营养与营养载畜量评价研究[D].内蒙古:内蒙古农业大学,2008.
[2] 曾洪光.牧草品质综合评定概述[J].草业科技,2001(9):40.
[3] 卢万鸿,何仕广,曹加光,等近红外光谱技术的分析与应用[J].桉树科技,2012,29(1):49-54.
[4] 张瑞忠,董宽虎.近红外技术在牧草方面的应用 [J].草业科学,2007,24(6):14-19.
[5] 王冬,闵顺耕,朱业伟,等.法布里干涉近红外光谱仪测定烟草品质成分[J].现代科学仪器,2011(6):107-110.
[6] 周健,成浩,王丽鸳,等.近红外技术在茶叶上的研究进展[J].茶叶科学,2008,28(4):294-300.
[7] Norris K H, Barnes R F, Moore J E, et al. Prediction forage quality by NIRS [J]. Journal of Animal Science,1976,43(4):899-897.
[8] 张琳,张黎明,李燕,等.偏最小二乘法在傅里叶变换红外光谱中的应用及进展[J].光谱学与光谱分析2005,25(10):1610-1613.
[9] 郑凯,顾洪如.牧草品质评价体系及品质育种的研究进展[J].草业科学,2006,23(5):57-61.
[10] Barton F E, Windham W R. Determination of acid-detergent fiber and crude protein in forages by near-infrared reflectance spectroscopy: collaborative study[J]. Association of Official Analytical Chemists,1988,71(6):1162-1169.
[11] Gislum R, Micklander E, Nielsen J P. Quantification of nitrogen concentration in perennial ryegrass and red fescue using near-infrared reflectance spectroscopy (NIRS) and chemo metrics[J].Field Crops Research,2004,88(2/3):269-277.
[12] Ohlsson C, Houm?ller L P, Weisbjerg M R, et al. Effective rumen degradation of dry matter, crude protein and neutral detergent fiber in forage determined by near infrared reflectance spectroscopy[J].Animal Physiology and Animal Nutrition,2007,91(11/12):498-507.
[13] 赵环环,胡跃高,等.近红外光谱分析技术在黑麦草粉粗蛋白测定中的应用[J].动物营养学报,2001,13(4):40-43.
[14] 殷秀杰,崔国文,等.近红外光谱分析法预测小叶章营养价值的研究[J].东北农业大学学报,2013,44(3):128-132.
[15] 陈龙,靳晓霞,冯晋芳,等.近红外光谱法预测燕麦干草蛋白组分的研究[J].中国奶牛,2012(7):11-13.
[16] 李永宏,王诗平,尹永军,等,译.放牧研究:设计方法与分析[M].北京:气象出版社,1997:68-80.
[17] Bruno-Soares, A. M., Murray, et al. Use of near infrared reflectance spectroscopy (NIRS) for the prediction of the chemical composition and nutritional attributes of green crop cereals[J]. Animal Feed Science and Technology,1998,75(1):15-25.
[18] Cozzolino D, Fassio A, Gimenez A. The use of near-infrared reflectance spectroscopy (NIRS) to predict the composition of whole maize plants[J]. Science of Food and Agriculture,2001,81(1):142-146.
[19] 白琪林,陈绍江,董晓玲,等.近红外漫反射光谱法测定玉米秸秆NDF与ADF含量[J].光谱学与光谱分析,2004,24(11):1345-1347.
[20] Dale L M, Rotar I T, Vidican A., R. et el. Determination of alfalfa crude fiber, NDF, ADF and lignin content by nir spectrometry[J]. Seria Agronomie,2012,55(1):245-249.
[21] 石丹,张英俊.近红外光谱法快速测定羊草干草品质的研究[J].光谱与光谱学分析,2011,31(10):2730-2733.
[22] Alexandrov A N, Atanassova S L, Peltekova V D, et a1. The use of near infrared spectroscopy for estimation of microbial contamination of in sacco forage residues and protein and dry matter degradability in the rumen[J].Proceedings 7^th International Symposium, Vale de Santarem, Portugal, EAAP Publication,1995(81):133.
[23] Boever J L De, Cottyn B G, Brabander D L De, et al. Prediction of the feeding value of maize silages by chemical parameters, in vitro digestibility and NIRS.[J] Animal Feed Science and Technology, 1997,66(1/4):211-222.
[24] Milica P, Jasna S, et al. The development of near-infrared spectroscopy (NIRS) calibration for prediction of ash content in legumes on the basis of two different reference methods [J]. Food Chemistry,2010,123(3):800-805.
[25] 刘贤,韩鲁佳.近红外漫反射光谱法快速测定秸秆青贮饲料成分含量[J].光谱学与光谱分析,2006,26(11):2011-2020.
[26] 牛智有,韩鲁佳.基于近红外光谱的反刍动物饲料营养指标的检测方法研究[J].华中农业大学学学报,2007,26(5):657-660.
[27] Marten G C, Brink G E, Buxton D R, et al. Near Infrared Reflectance Spectroscopy Analysis of Forage Quality in Four Legume Species[J] Crop Science,1984,24(6):1179-1184.
[28] Berardo N. Prediction of the chemical composition of white clover by near-infrared reflectance spectroscopy [J],Grass and Forage Science,1997,52(1):27-32.
[29] Delwiche S R, Graybosch R A, et el. Identification of wheat lines possessing the IAL.IRS or IBL.IRS wheat-rye translocation by NIR reflectance spectroscopy[J].Cereal Chemistry journal,1999,76(2):255-260.
[30] Rodriguez I R, Miller G L. Using Near Infrared Reflectance Spectroscopy to Schedule Nitrogen Applications on Dwarf Type bermudagrasses[J]. Agronomy Journal,2000,92(3):423-427.
[31] Halgersona J L, Sheaffer C C, Martinb N P, et el. Near-Infrared Reflectance Spectroscopy Prediction of Leaf and Mineral Contents in Alfalfa[J].Agronomy Journal,2004,96(2):344-351.
[32] Gonzalez M M I, Wells M G, Fischer S, et al. Chemical characteristics and mineral composition of quinoa by near-infrared spectroscopy[J].Science of Food and Agriculture,2013:6325.
[33] 王多加,周向阳,金同铭,等.近红外光谱检测技术在农业和食品分析上的应用[J].光谱学与光谱分析,2004,24(4):447-452.
[34] Cozzolino D, Moron A. Exploring the use of near infrared reflectance spectroscopy (NIRS) to Predict trace in legumes[J].Animal Feed Science and Technology,2004,111(1):161-173.
[35] Clark D H, Cary E E, Mayland H F. Analysis of Trace Elements in Forages by Near Infrared Reflectance Spectroscopy[J]. Agronomy Journal,1989,81(1):91-95.
[36] Clark D H, Ralphs M H, Lamb R C. Total alkaloid determinations in larkspur and lupine with near infrared reflectance spectroscopy[J]. Agronomy journal,1987,79(3):481-485.
[37] Andres S, Calleja A, Lopez S, et a1. Prediction of gas production kinetic parameters of forages by chemical composition and near infrared reflectance spectroscope[J].Animal Feed Science and Technology. 2005,123-124(Part 1):487-499.
[38] Goff B M, Moore K J, Fales S L, et al. Comparison of gas chromatography, spectrophotometer and near infrared spectroscopy to quantify prussic acid potential forages [J].Science of Food and Agriculture,2011,91(8):1523-1526.
[39] 赵玉清,杨天鸣,罗源,等.近红外透射光谱法测定黄芪提取液中总皂苷含量[J].化学与生物工程,2009,26(2):73-75.
[40] Givens DI, De Boever JL, Deaville ER. The principles, practices and some future applications of near infrared spectroscopy for predicting the nutritive value of foods for animals and humans[J].Nutrition Research Review,1997,10(1):83-114.
[41] Coleman S. W., Ian Murray. The use of near-infrared reflectance spectroscopy to define nutrient digestion of hay by cattle[J]Animal Feed Science and Technology,1993,44(3/4):237-249.
[42] Gordona, F.J, Coopera K.M, Parkb R.S. The prediction of intake potential and organic matter digestibility of grass silages by near infrared spectroscopy analysis of undried samples[J]. Animal Feed Science and Technology,1998,70(4):339-351.
[43] Hoffman P C, BREHM N M ,COMBS D K, et al. Predicting the Effect of Proteolysis on Ruminal Crude Protein Degradation of Legume and Grass Silages Using Near-Infrared Reflectance Spectroscopy [J].Dairy Science,1999,82(4):756.
[44] Cosgrove G P, Burns J C, Fisher D S, et al. Near infrared reflectance spectroscopy prediction of quality from masticated temperate forage species[J]. Crop Science,1994,34(3):789-792.
[45] 白琪林,陈绍江,董晓玲,等.近红外漫反射光谱法测定玉米秸秆体外干物质消化率[J].光谱学与光谱分析,2006,26(2): 271-274.
[46] Liu X, Han L, Yang Z, et al. Prediction of silage digestibility by near-infrared reflectance spectroscopy[J]. Journal of Animal and Feed Sciences,2008,17(4):631-639.
[47] 邰书静,张仁和,史俊通,等.近红外光谱法测定玉米秸秆饲用品质[J].农业工程学报,2009,25(12):151-155.
[48] Lyons R K, Stuth J W. Fecal NIRS equations for predicting diet quality of free-ranging cattle[J].Range Manage,1992(45):238-244.
[49] Scott E S, Douglas R T, Jerry W S, et al. Predicting Diet Quality of White-Tailed Deer via NIRS Fecal Profiling[J]. Rangeland Ecology and Management,2006,59(3):300-307.
[50] 樊霞,韩鲁佳,皇才进,等.基于近红外光谱技术的牛粪成分含量测定方法[J].农业机械学报,2006,37(3):76-79.
[51] Li H, Tollesonb D, Stuthb J. et el. Fecal near infrared reflectance spectroscopy to predict diet quality for sheep[J]. Small Ruminant Research,2007,68(3):263-268.
[52] Decruyenaere V, Lecomteb P, Demarquillyc C, et al. Evaluation of green forage intake and digestibility in ruminants using near infrared reflectance spectroscopy (NIRS): Developing a global calibration[J]. Animal Feed Science and Technology,2009,148(2/4): 138-156.
[53] Coates D B, Dixon R M. Developing robust fecal near infrared spectroscopy calibrations to predict diet dry matter digestibility in cattle consuming tropical forages[J].Near Infrared Spectroscopy,2011,19(6):507-519.