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
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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