ABSTRACT
Siberian wildrye (Elymus sibiricus L.) is one of the predominant pasture species in Qinghai-Tibet plateau of China. It supplies a large number of fodders to domestic animals in spring and winter, and provides a large proportion of the summer and autumn grazing in these alpine regions. Crude protein (CP), acid detergent fiber (ADF), neutral detergent fiber (NDF) and in vitro dry matter digestibility (IVDMD) are the most important aspects of nutritive value of forages. A successful application of near infrared spectroscopy (NIRS) in combination with partial least square regression (PLSR) for the determination of four parameters (CP, ADF, NDF and IVDMD) of Siberian wildrye was developed. The standard errors of calibration (SEC, %DM) and Rcal(2) values (in parentheses) were 0.3299(0.9945), 0.7799(0.9499), 1.3430(0.9133), and 1.3762(0.9822) for CP, ADF, NDF and IVDMD equations, respectively. The standard errors of prediction (SEP, %DM) and Rval(2) values (in parentheses) were 0.3621(0.9938), 0.7878(0.9449), 1.3852(0.8907), and 1.4303(0.9790) for CP, ADF, NDF and IVDMD, respectively. A good correlation (r>0.9438) was found between results from NIRS and the traditional chemical method, and residual predictive deviation (RPD) ranged from 3.02 to 12.63. It was concluded that NIR spectroscopic technique associated with chemometrics is sufficiently sensitive to allow the accurate prediction of the concentrations of compo nents (CP, ADF and NDF) and IVDMD of Siberian wildrye.
Subject(s)
Animal Feed/analysis , Elymus , Nutritive Value , China , Dietary Fiber/analysis , Least-Squares Analysis , Plant Proteins/analysis , Spectroscopy, Near-Infrared , TibetABSTRACT
The majority of nutrients in ruminants and other herbivores come from forages. Forage quality not only affects the growth and production efficiency of livestock, but also determines the final output and quality of livestock products. Forage quality mainly depends on nutrient concentrations and their digestibility, palatability and the level of presence of antiquality factors and mycotoxins in forage. Near infrared reflectance spectroscopy (NIRS) has been widely used in many research areas because it is a inexpensive, rapid, simple and nondestructive technique offering the potential for qualitative and quantitative analysis. The present paper briefly introduces the principle and characteristics of NIRS, detailedly expounds the application of NIRS in forage quality. In addition, other applications of near infrared spectroscopy technique in forage are also discussed, including forage breeding, identification of variety and classification by kind. This paper comprehensively reviews the status quo of application of NIRS in forage filed, in order to contribute to promoting development of NIRS in this field in China.
Subject(s)
Animal Feed/analysis , Spectroscopy, Near-Infrared , China , Mycotoxins , Quality ControlABSTRACT
The quality of hay can directly affect the price of hay and also livestock productivity. Many kinds of methods have been developed for detecting the quality of hay and the method of near infrared spectroscopy (NIRS) has been widely used with consideration of its fast, effective and nondestructive characteristics during detecting process. In the present paper, the feasibility and effectiveness of application of NIRS to detecting hay quality were expounded. Meanwhile, the advance in the study of using NIRS to detect chemical compositions, extent of incursion by epiphyte, amount of toxicant excreted by endogenetic epiphyte and some minim components that can not be detected by using chemical methods were also introduced detailedly. Based on the review of the progresses in using NIRS to detect the quality of hay, it can be concluded that using NIRS to detect hay quality can avoid the disadvantages of time wasting, complication and high cost when using traditional chemical method. And for better utilization of NIRS in practice, some more studies still need to be implemented to further perfect and improve the utilization of NIRS for detecting forage quality, and more accurate modes and systematic analysis software need to be established in times to come.