Near Infrared Reflectance Measurement of the Digestible Energy Content of Cereals for Growing Pigs

1999 ◽  
Vol 7 (1) ◽  
pp. 1-7 ◽  
Author(s):  
R.J. van Barneveld ◽  
J.D. Nuttall ◽  
P.C. Flinn ◽  
B.G. Osborne
Keyword(s):  
Near Infrared ◽  
Energy Content ◽  
Growing Pigs ◽  
Infrared Reflectance ◽  
Near Infrared Reflectance ◽  
Reflectance Measurement ◽  
Digestible Energy

Short Communication: Near infrared reflectance spectroscopy accurately predicts the digestible energy content of barley for pigs

2011 ◽  
Vol 91 (2) ◽  
pp. 301-304 ◽  
Author(s):  
R. T. Zijlstra ◽  
M. L. Swift ◽  
L. F. Wang ◽  
T. A. Scott ◽  
M. J. Edney
Keyword(s):  
Near Infrared ◽  
Energy Content ◽  
External Validation ◽  
Reflectance Spectroscopy ◽  
Commercial Application ◽  
Infrared Reflectance ◽  
Near Infrared Reflectance Spectroscopy ◽  
Near Infrared Reflectance ◽  
Digestible Energy ◽  
Infrared Reflectance Spectroscopy

Zijlstra, R. T., Swift, M. L., Wang, L. F., Scott, T. A. and Edney, M. J. 2011. Short Communication:Near infrared reflectance spectroscopy accurately predicts the digestible energy content of barley for pigs. Can. J. Anim. Sci. 91: 301–304. Density, chicken apparent metabolizable energy (AME), and near infrared reflectance spectroscopy (NIRS) were tested to predict the widely varying swine digestible energy (DE) content of barley. The DE content of 39 barley samples ranged from 2686 to 3163 kcal kg−1 (90% DM) in grower pigs. The R2 between DE content and density (0.14) and broiler chicken AME content (0.18 and 0.56, without and with enzyme, respectively) was low. In contrast, the coefficient of determination to predict swine DE content for ground barley samples using NIRS was respectable for external validation (R2=0.74) and internal cross validation (1-VR=0.79), but more robust calibrations should be developed for commercial application.

The use of near infrared reflectance spectroscopy (NIRS) for the prediction of the digestible energy content of barley for growing pigs

2003 ◽  
Vol 2003 ◽  
pp. 153-153
Author(s):  
M. E. E. McCann ◽  
K. J. McCracken ◽  
R. E. Agnew
Keyword(s):  
Chemical Composition ◽  
Nutritive Value ◽  
Near Infrared ◽  
Energy Content ◽  
Reflectance Spectroscopy ◽  
Infrared Reflectance ◽  
Near Infrared Reflectance Spectroscopy ◽  
Feed Ingredient ◽  
Near Infrared Reflectance ◽  
Digestible Energy

It is not possible to carry out in vivo pig digestibility studies on each feed or feed ingredient therefore there is a need for a rapid means of predicting the digestible energy content of a feed or feed ingredient. Near infrared reflectance spectroscopy (NIRS) is an extremely rapid technique and has been used to predict chemical composition and nutritive value for a wide range of feeds and feed ingredients (Leeson et al 2000). In the literature, some workers have reported that NIRS has a high degree of accuracy for determining chemical composition and nutritive value while others have reported a lower degree of accuracy. The aim of the current study was to examine the value of NIRS in predicting the digestible energy (DE) content of barley from which pig diets were formulated.

NEAR INFRARED REFLECTANCE SPECTROSCOPY FOR PREDICTING FORAGE COMPOSITION AND VOLUNTARY CONSUMPTION AND DIGESTIBILITY IN CATTLE AND SHEEP

1986 ◽  
Vol 66 (1) ◽  
pp. 103-115 ◽  
Author(s):  
E. S. REDSHAW ◽  
R. D. WEISENBURGER ◽  
G. W. MATHISON ◽  
L. P. MILLIGAN
Keyword(s):  
Crude Protein ◽  
Dry Matter ◽  
Near Infrared ◽  
Energy Content ◽  
Neutral Detergent Fiber ◽  
Infrared Reflectance ◽  
Near Infrared Reflectance ◽  
Digestible Energy ◽  
Voluntary Intake ◽  
Cattle And Sheep

Near infrared reflectance spectroscopic (NIR) measurements were made on 82 samples of legume (alfalfa and clover), grass (brome, timothy, reed canary grass and meadow foxtail) and legume-grass mixtures using a Neotec model 6100 scanning monochromator. Data on the forages, used for establishing NIR calibrations for predictive relationships and appraising them, were chemical composition and measurements of digestibility and voluntary consumption for cattle and sheep. The primary wavelengths selected by multiple regression techniques were similar to those obtained by other researchers for crude protein, acid and neutral detergent fiber, calcium and phosphorus. Similar primary wavelengths were selected for prediction of digestibility and voluntary intake (g kg−0.75) of forages for cattle and sheep, but those selected for voluntary intake on the basis of percentage of body weight differed between animal species. The wavelengths which best predicted animal intake and digestibility in our trials differed from those reported by other researchers. Crude protein, acid detergent fiber, neutral detergent fiber, lignin, acid detergent insoluble nitrogen, calcium, phosphorus and ash concentrations in forage were predicted with standard errors of 1.0, 2.2, 2.9, 1.1, 0.07, 0.15, 0.02, and 1.2%, respectively. The accuracy of predictions for these chemical constituents was similar to that reported by other workers. Digestible energy content, dry matter digestibility, voluntary intake and digestible energy intake of hays by cattle were predicted with standard errors of prediction of 0.59 MJ kg, 2.4%, 7.6 g DM kg−0.75, and 79 kJ kg−0.75, respectively. Corresponding values for sheep were 0.96, 4.4, 6.3 and 128. The quantitative importance of variability in animal data in the calibration of the NIR procedure was discussed. This variability accounted for about one-half of the variability of NIR prediction of voluntary DM and digestible energy intake of cattle. This proportion was reduced to approximately one-quarter and one-sixth for digestibility of dry matter and digestible energy content of feed, respectively. Key words: Cattle, sheep, forages, near infrared reflectance spectroscopy, nutritive value

scholarly journals Rapid determination of the content of digestible energy and metabolizable energy in sorghum fed to growing pigs by near-infrared reflectance spectroscopy1

2019 ◽  
Vol 97 (12) ◽  
pp. 4855-4864 ◽  
Author(s):  
Jie Hu ◽  
Juntao Li ◽  
Long Pan ◽  
Xiangshu Piao ◽  
Li Sui ◽  
...  
Keyword(s):  
Near Infrared ◽  
External Validation ◽  
Growing Pigs ◽  
Metabolizable Energy ◽  
Coefficient Of Determination ◽  
Regression Equations ◽  
Infrared Reflectance ◽  
Near Infrared Reflectance ◽  
Calibration Models

Abstract The object of this study was to establish a new method to predict the content of DE and ME in sorghum fed to growing pigs by using near-infrared reflectance spectroscopy (NIRS). A total of 33 sorghum samples from all over China were used in this study. The samples were scanned for their spectra in the range of 12,000 to 4,000 cm−1. Based on principal components analysis of the spectra, the samples were split into a calibration set (n = 24) and a validation set (n = 9) according to the ratio of 3:1. With animal experiment values as calibration reference, the calibration models of DE and ME were established using partial least squares regression algorithm. Different spectral pretreatments were applied on the spectra to reduce the noise level. The best wavenumber ranges were also investigated. Results showed that DE and ME content in sorghum fed to growing pigs ranged from 14.57 to 16.70 MJ/kg DM and 14.31 to 16.35 MJ/kg DM, respectively. The optimal spectral preprocessing method for DE and ME was the combination of first derivative and multiplicative scatter correction. The most informative near-infrared spectral regions were 9,403.9 to 6,094.4 cm−1 and 4,605.5 to 4,242.9 cm−1 for both DE and ME. The best performance for DE and ME calibration models was the coefficient of determination of calibration (R2c) of 0.94 and 0.93, coefficient of determination of cross-external validation (R2cv) of 0.88 and 0.86, residual predictive deviation of cross-external validation (RPDcv) of 2.86 and 2.64, coefficient of determination of external validation (R2v) of 0.90 and 0.81, and residual predictive deviation of external validation (RPDv) of 3.15 and 2.35, respectively. There were no significant differences between the measured and NIRS predicted values for DE and ME (P = 0.895 for DE and P = 0.644 for ME). As the number of calibration samples increased from 24 to 33, the calibration performance of DE and ME models was improved, indicated by increased R2c, R2cv, and RPDcv values. In conclusion, NIRS quantitative models of the available energy in sorghum were established in this study. The results demonstrated that the content of DE and ME in sorghum could be predicted with relatively high accuracy based on NIRS and NIRS showed the superiority of speediness and practicality when compared with previous research methods including animal experiments, regression equations, and computer-controlled simulated digestion system.

Comparison of near infrared reflectance analysis of fecal fat, nitrogen and water with conventional methods, and fecal energy content

2002 ◽  
Vol 35 (1) ◽  
pp. 29-33 ◽  
Author(s):  
Anita Van den Neucker ◽  
Charles M.A. Bijleveld ◽  
Bert G. Wolthers ◽  
Joost C.J.M. Swaaneburg ◽  
Arnold D.M. Kester ◽  
...  
Keyword(s):  
Near Infrared ◽  
Energy Content ◽  
Infrared Reflectance ◽  
Near Infrared Reflectance ◽  
Fecal Fat ◽  
Reflectance Analysis ◽  
Conventional Methods
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