光谱学与光谱分析 |
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Potential Applicability of Fecal NIRs: A Review |
YAN Xu1,2, DU Zhou-he1, 2*, BAI Shi-qie3*, ZUO Yan-chun1,2, ZHOU Xiao-kang1,2, KOU Jing1,2, YAN Jia-jun3, ZHANG Jian-bo3, LI Ping4,YOU Ming-hong3, ZHANG Yu3, LI Da-xu3, ZHANG Chang-bing3, ZHANG Jin3 |
1. Animal Husbandry Research Centre, Sichuan Academy of Agricultural Sciences, Nanchong 637000, China 2. Sericultural Research Institute, Sichuan Academy of Agricultural Sciences, Nanchong 637000, China 3. Sichuan Academy of Grassland Science, Chengdu 611731, China 4. College of Prataculture Science, Nanjing Agricultural University, Nanjing 210095, China |
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Abstract Near-infrared reflectance spectroscopy (NIRS) is an inexpensive, rapid, environment-friendly and non-invasive analytical technique that has been extensively applied in the analysis of the dietary attributes and the animal products. Acquisition of dietary attributes is essential for nutritional diagnoses to provide animals with reasonable diet. Traditionally, the calibration equations for the prediction of dietary attributes (e.g. crude protein) are developed from feed NIR spectra and the results of conventional chemical analysis (i.e. reference data). It is difficult to obtain the NIR spectra of forages consumed by grazing animals, so the method of this calibration is inappropriate for free-grazing herbivores. Feces, as the animal’s metabolites, contain the information about both the animal’s diet and the animal itself. Recently, Fecal-NIRS (F.NIRS) has been directly used to monitor diet information (botanical composition, chemical composition and digestibility), based on correlation between reference data and fecal NIR profile. Subsequently, some additional application (such as sex and species discrimination, reproductive and parasite status) of F.NIRS also is outlined. In the last, application of NIRS in animal manure is summarized. NIRS was shown to be an alternative to conventional wet chemical methods for analyzing some nutrient concentrations in animal manure rapidly. Overall, this paper proves that F.NIRS is a rapid and valid tool for the determination of the dietary attributes and of the physiological status of animal, although more efforts need to be done to improve the accuracy of the F.NIRS technique. Several researchers in English have reviewed the applications of F.NIRS. In China, however, there is a paucity of research and application regarding F.NIRS. We expect that this paper in Chinese will be helpful to the development of F.NIRS in China. At the same time, we propose NIRS as a simple and rapid analytical method for predicting the main chemical composition (dry matter, organ matter, total solid, volatile solid, total nitrogen, total Kjeldahl nitrogen and ammonium nitrogen) in animal manure.
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Received: 2014-05-13
Accepted: 2014-08-25
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Corresponding Authors:
DU Zhou-he, BAI Shi-qie
E-mail: zhouhedu@263.net;baishiqie@126.com
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[1] Tolleson D R, Randel R D, Stuth J W, et al. Small Ruminant Research, 2005, 57(2-3): 141. [2] Reed J Z, Tollit D J, Thompson P M, et al. Molecular Ecology, 1997, 6(3): 225. [3] Brooks J, Anderson M, Urness P J. The Journal of Wildlife Management, 1984, 48(1): 254. [4] Dixon R M, Coates D B. Recent Advances in Animal Nutrition in Australia, 2005, 15: 65. [5] Walker John W, Clark D H, McCoy Scott D. Journal of Range Management, 1998, 51(4): 450. [6] Walker John W, McCoy Scott D, Launchbaugh Karen L, et al. Journal of Range Management, 2002, 55(4): 374. [7] Shu Bin, Zhang Yingjun, Lin Lijun, et al. Rangeland Ecology & Management, 2009, 62(2): 193. [8] Landau S, Glasser T, Dvash L, et al. South African Journal of Animal Science, 2004, 34(S1): 76. [9] Glasser T, Landau S, Ungar E D, et al. Journal of Animal Science, 2008, 86(6): 1345. [10] Jones R J, Ludlow M M, Troughton J H, et al. The Journal of Agricultural Science, 1979, 92(01): 91. [11] Coates D B, Dixon R M. The Rangeland Journal, 2007, 29(1): 51. [12] Locher F, Heuwinkel H, Gutser R, et al. Agronomy Journal, 2005, 97(1): 11. [13] Petersen J C, Barton F E, Windham W R, et al. Crop Science, 1987, 27(5): 1077. [14] Wachendorf M, Ingwersen B, Taube F. Grass and Forage Science, 1999, 54(1): 87. [15] Snowder G D, Walker J W, Launchbaugh K L, et al. Journal of Animal Science, 2001, 79(2): 486. [16] Waldron D F, Taylor C A, Walker J W, et al. Journal of Animal Science, 2009, 87(2): 491. [17] Holechek J L, Vavra M, Pieper R D. Journal of Range Management, 1982, 35(5): 309. [18] Núnez-Sánchez N, Martínez-Marín A L, Hernández M P, et al. Livestock Science, 2012, 150(1-3): 386. [19] Li H, Tolleson D, Stuth J, et al. Small Ruminant Research, 2007, 68(3): 263. [20] Landau S, Giger-Reverdin S, Rapetti L, et al. Small Ruminant Research, 2008, 77(2): 146. [21] Boval M, Coates D B, Lecomte P, et al. Animal Feed Science and Technology, 2004, 114(1): 19. [22] Kidane N F, Stuth J W, Tolleson D R. Rangeland Ecology & Management, 2008, 61(2): 232. [23] Landau S, Glasser T, Muklada H, et al. Small Ruminant Research, 2005, 59(2): 251. [24] Showers S E, Tolleson D R, Stuth J W, et al. Rangeland Ecology & Management, 2006, 59(3): 300. [25] Lyons R K, Stuth J W, Angerer J P. Journal of Range Management, 1995,48(4): 380. [26] Lyons Robert K, Stuth Jerry W. Journal of Range Management, 1992, 45(3): 238. [27] Leite E R, Stuth J W. Small Ruminant Research, 1995, 15(3): 223. [28] Dixon R, Coates D. Journal of Near Infrared Spectroscopy, 2008, 17(1): 1. [29] Coates D B, Schachenmann P, Jones R J. Animal Production Science, 1987, 27(6): 739. [30] Steyaert S M J G, Hütter F J, Elfstrm M, et al. Wildlife Biology, 2012, 18(4): 431. [31] Wiedower E E, Kouba A J, Vance C K, et al. PLoS One, 2012, 7(6): e38908. [32] Walker J W, Campbell E S, Lupton C J, et al. Journal of Animal Science, 2007, 85(2): 518. [33] Perez-Mendoza J, Dowell F E, Broce A B, et al. Journal of Medical Entomology, 2002, 39(3): 499. [34] LIU Zhi-xiao, LIANG Liang, DENG Kai-dong, et al(刘志霄, 梁 亮, 邓凯东, 等). Acta Ecologica Sinica(生态学报), 2009, 29(12): 6407. [35] Godfrey R W, Dodson R E, Bultman J K, et al. Journal of Animal Science, 2001, 79(S1): 26. [36] Tolleson P, Randel R, Stuth J, et al. Journal of Animal Science, 2001, 79(S1): 21. [37] LIANG Liang, LIU Zhi-xiao, PAN Shi-cheng, et al(梁 亮, 刘志霄, 潘世成, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2009, 29(7): 1772. [38] Tolleson D R, Teel P D, Stuth J W, et al. Veterinary Parasitology, 2007, 144(1): 146. [39] Ye W, Lorimor J C, Hurburgh C, et al. Transactions of the ASAE, 2005, 48(5): 1911. [40] Dagnew M D, Crowe T G, Schoenau J J. Canadian Biosystems Engineering, 2004, 46: 33. [41] Smith T N, Pesti G M, Bakalli R I, et al. Poultry Science, 2001, 80(3): 314. [42] Saeys W, Mouazen A M, Ramon H. Biosystems Engineering, 2005, 91(4): 393. [43] Xing L, Chen L J, Han L J. Poultry Science, 2008, 87(7): 1281. [44] Burns Donald A, Ciurczak Emil W. Handbook of Near-Infrared Analysis. 3rd ed. Boca Raton: CRC press, 2007, 588. [45] Reeves III J B, Van Kessel J S. Journal of Dairy Science, 2000, 83(8): 1829. [46] Millmier A, Lorimor J, Hurburgh Jr C, et al. Transactions of the ASAE, 2000, 43(4): 903. [47] Chen L J, Xing L, Han L J. Poultry Science, 2009, 88(12): 2496. [48] Galvez-Sola L, Moral R, Perez-Murcia M D, et al. Science of the Total Environment, 2010, 408(6): 1414. [49] Fujiwara Takayuki, Murakami Keiichi. Soil Science and Plant Nutrition, 2007, 53(1): 102. [50] Fujiwara Takayuki, Murakami Keiichi, Tanahashi Toshihiko, et al. Soil Science and Plant Nutrition, 2009, 55(1): 170. [51] Huang Guangqun, Han Lujia, Liu Xian. Journal of Near Infrared Spectroscopy, 2007, 15(6): 387. [52] Huang Guangqun, Han Lujia, Yang Zengling, et al. Bioresource Technology, 2008, 99(17): 8164. [53] HUANG Guang-qun, WANG Xiao-yan, HAN Lu-jia(黄光群, 王晓燕, 韩鲁佳). Transactions of the Chinese Society for Agricultural Machinery(农业机械学报), 2010, 41(2): 93. [54] McWhirt A L, Weindorf D C, Chakraborty S, et al. Waste Management & Research, 2012, 30(10): 1049. [55] Yang Zengling, Han Lujia, Fan Xia. Journal of Near Infrared Spectroscopy, 2006, 14(4): 261. [56] Srensen L K, Srensen P, Birkmose T S. Soil Science Society of America Journal, 2007, 71(4): 1398. [57] Chakraborty Somsubhra, Das Bhabani S, Nasim Ali Md, et al. Waste Management, 2014, 34(3): 623. [58] Polak J, Sukowski W W, Bartoszek M, et al. Journal of Molecular Structure, 2005, 744: 983. |
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