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Publication Date
1977
Description
An infrared reflectance spectro/computer system (IRSCS) has been established at The Pennsylvania State University to evaluate the nutritional quality of forage and feedstuffs. Studies with alfalfa forage clearly show that the reflectance spectral curve of the forage is a composite curve consisting of various chemical constituents in the forage such as water, protein and cellulose. Chemical constituents are not measured directly by IRSCS but calibration prediction equations are developed from samples with known chemical constituents and animal response data. After this is completed, forage samples can be analyzed for multiple chemical constituents and animal responses in less than 2 minutes. Preliminary testing of the accuracy of IRSCS resulted in standard errors for predicting protein to be ± 1.00% and in vitro dry matter disappearance ± 1.52 %The standard errors of duplicate values for these analyses by IRSCS are similar in magnitude to those obtained by the standard laboratory procedures. Applications of this technology to forage breeding and production programs, animal nutrition studies and ration formulation are currently being investigated.
Citation
Shenk, J S.; Norris, K H.; Barnes, R F.; and Fissel, G W., "Forage and feedstuff analysis with infrared reflectance spectro/computer system1" (1977). IGC Proceedings (1977-2023). 7.
(URL: https://uknowledge.uky.edu/igc/1977/sess10/7)
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Forage and feedstuff analysis with infrared reflectance spectro/computer system1
An infrared reflectance spectro/computer system (IRSCS) has been established at The Pennsylvania State University to evaluate the nutritional quality of forage and feedstuffs. Studies with alfalfa forage clearly show that the reflectance spectral curve of the forage is a composite curve consisting of various chemical constituents in the forage such as water, protein and cellulose. Chemical constituents are not measured directly by IRSCS but calibration prediction equations are developed from samples with known chemical constituents and animal response data. After this is completed, forage samples can be analyzed for multiple chemical constituents and animal responses in less than 2 minutes. Preliminary testing of the accuracy of IRSCS resulted in standard errors for predicting protein to be ± 1.00% and in vitro dry matter disappearance ± 1.52 %The standard errors of duplicate values for these analyses by IRSCS are similar in magnitude to those obtained by the standard laboratory procedures. Applications of this technology to forage breeding and production programs, animal nutrition studies and ration formulation are currently being investigated.
