EurekaMag.com logo
+ Site Statistics
References:
53,214,146
Abstracts:
29,074,682
+ Search Articles
+ Subscribe to Site Feeds
EurekaMag Most Shared ContentMost Shared
EurekaMag PDF Full Text ContentPDF Full Text
+ PDF Full Text
Request PDF Full TextRequest PDF Full Text
+ Follow Us
Follow on FacebookFollow on Facebook
Follow on TwitterFollow on Twitter
Follow on Google+Follow on Google+
Follow on LinkedInFollow on LinkedIn

+ Translate

Estimation of botanical composition of esophageal extrusa samples using near infrared reflectance spectroscopy






Journal of range management 49(2): 163-166

Estimation of botanical composition of esophageal extrusa samples using near infrared reflectance spectroscopy

The objective of this study was to evaluate the potential of near infrared reflectance spectroscopy (NIRS) for estimating botanical composition of esophageal extrusa samples. Spectral data were collected on 361 samples from fistulated sheep and cattle grazing native tallgrass range. Principal components analysis was used to identify a subset of 73 samples with spectral dissimilarity. These samples were microhistologically analyzed to determine botanical composition and were considered 'actual' for regression and calibration purposes. Thirty-six species (12 grasses, 22 forbs, and 2 sedges) were identified in the microhistologically analyzed samples. However, most accounted for less than 5% of the total diet. Additional pure calibration samples were obtained by feeding individual species to confined fistulated sheep. Initial regression analyses and predictions were made on 13 major species or species groups. Satisfactory prediction equations could only be developed for big bluestem andropogon gerardii Vitman) (r2 =0.61), and the total grasses (r2= 0.79) and total forbs (r2 = 0.79) groups. Addition of spectra from pure samples into the calibration set was beneficial. In general, valid predictions could not be made for individual species that constituted less than 10% of the sample and/or had a low frequency of occurrence in the calibration samples. The NIRS method offered acceptable precision and accuracy in the prediction of major botanical components and it would be practical and efficient because it reduces the number of samples that would have to be microhistologically analyzed.

Accession: 002831616

DOI: 10.2307/4002688

Download PDF Full Text: Estimation of botanical composition of esophageal extrusa samples using near infrared reflectance spectroscopy



Related references

Estimation of the botanical composition of esophageal extrusa samples part 1 a modified microscope point technique. Journal of the British Grassland Society 30(3): 229-235, 1975

Estimation of the botanical composition of esophageal extrusa samples part 2 a comparison of manual separation and a microscope point technique. Journal of the British Grassland Society 30(4): 273-277, 1975

Prediction of botanical composition in grassland herbage samples by near infrared reflectance spectroscopy. Journal of the Science of Food & Agriculture 57(4): 507-516, 1991

Estimation of the botanical composition of extrusa samples from fistulated steers. Animal science research report Virginia Polytechnic Institute and State University Virginia Agricultural Experiment Station: 6?] (5) 120-123, 1986

Use of near ir reflectance spectroscopy for nutritive evaluation of esophageal diet samples from cattle containing a diverse botanical composition. Journal of Animal Science 55(SUPPL 1): 312, 1982

Estimation of the botanical composition of oesophageal extrusa samples. 1. A modified microscope point technique. Journal of the British Grassland Society 30(3): 229-235, 1975

Estimation of the botanical composition of oesophageal extrusa samples. 2. A comparison of manual separation and a microscope point technique. Journal of the British Grassland Society 30(4): 273-277, 1975

Potential use of near infrared reflectance spectroscopy (NIRS) for the estimation of chemical composition of oxen meat samples. Meat Science 74(3): 487-496, 2006

Use of near infrared reflectance spectroscopy to predict botanical composition of grass. Progress report clovers and special purpose legumes research Univ of Wisconsin Dept of Agronomy9(19): 87-89, 1986

Ash in forage, esophageal, and fecal samples analyzed using near-infrared reflectance spectroscopy. Crop science 31(5): 1345-1349, 1991