Rangeland Ecology & Management

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Calibrating fecal NIRS equations for predicting botanical composition of diets
Author
Walker, J. W.
McCoy, S. D.
Launchbaugh, K. L.
Fraker, M. J.
Powell, J.
Publisher
Society for Range Management
Publication Year
2002-07-01
Body

The objectives of this study were to investigate the use of near infrared spectroscopy (NIRS) of fecal samples for predicting the percentage of mountain big sagebrush (Artemisia tridentata Nutt. ssp. vaseyana (Rydb) Beetle) in sheep diets and to quantify the limitations of using NIRS of fecal samples to predict diet composition. Fecal material from a sheep feeding trial with known levels of sagebrush and several background forages was used to develop fecal NIRS calibration equations validated with fecal material from 2 other sheep feeding trials with known levels of sagebrush in the diets. The 1996 calibration trial varied the level of sagebrush, alfalfa, and grass hay in the diets. The 1998 trial compared frozen to air-dried sagebrush. The Wyoming trial was a metabolism study using frozen sagebrush. Trials used different levels of sagebrush varying from 0 to 30% of the diet in increments of 4 to 10 percentage points. Internal validation of the 1996 trial with a subset of the samples not used for calibration showed that when predicted samples are from the same population as the calibration samples, this procedure can accurately predict percent sagebrush (R2 = 0.96, SEP = 1.6). However, when predicted samples were from a different population than calibration samples, accuracy was much less, but precision was not affected greatly. Low accuracy was caused by a compression of the range of data in the predicted values compared to the reference values, and the predicted sagebrush levels in the diet should be considered to represent an interval scale of measurement. Modified partial least squares regression resulted in better calibration than stepwise regression, and calibration data sets with only high, low, and no sagebrush resulted in calibrations almost as good as data sets with several intermediate levels of sagebrush. High values of the H statistic were related to low precision but did not affect the accuracy of predictions. We believe the interval scale of measurement will contain sufficient information for the purpose of addressing many questions on rangelands. The Journal of Range Management archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information. Migrated from OJS platform August 2020

Language
en
Resource Type
Text
Document Type
Journal Issue/Article
Digital Object Identifier (DOI)
10.2307/4003474
Additional Information
Walker, J. W., McCoy, S. D., Launchbaugh, K. L., Fraker, M. J., & Powell, J. (2002). Calibrating fecal NIRS equations for predicting botanical composition of diets. Journal of Range Management, 55(4), 374-382.
IISN
0022-409X
OAI Identifier
oai:repository.arizona.edu:10150/643672
Journal Volume
55
Journal Number
4
Journal Pages
374-382
Journal Name
Journal of Range Management
Keywords
hear infrared reflectance spectroscopy
laboratory techniques
rapid methods
reflectance
accuracy
calibration
validity
feces composition
selective grazing
infrared spectroscopy
Artemisia tridentata
diets
sheep
Artemisia
diet selection
sagebrush
sheep