Crop Science Grow Your Career with CSSA
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published in Crop Sci 25:834-837 (1985)
© 1985 Crop Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Coleman, S. W.
Right arrow Articles by Meyer, R. D.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Coleman, S. W.
Right arrow Articles by Meyer, R. D.
Agricola
Right arrow Articles by Coleman, S. W.
Right arrow Articles by Meyer, R. D.

The Use of Near-Infrared Reflectance Spectroscopy to Predict Species Composition of Forage Mixtures1

S. W. Coleman, F. E. Barton, II and R. D. Meyer2

Assessment of species composition of hay, pasture, and range samples is an important but laborious factor in forage quality evaluation. Near-infrared reflectance spectroscopy (NIRS) was evaluated as a rapid technique for prediction of the species composition of hay and pasture forages and weeds. In Exp. 1, 97 mixtures were formed using eight species. Each species varied from 0 to 100% in each mixture. Each mixture of dried, ground material was scanned with monochromatic light from 1100 to 2500 nm at 2-nm intervals, and the reflected energy was recorded. Percentage of each species was then regressed on the spectra using a modified stepwise regression procedure. Calibration equations with coefficients of determination (R2) from 0.94 to 0.99 and standard errors of difference (SED) from 1.9 to 6.8% were obtained using five to seven equation terms. Johnsongrass [Sorghum halepense (L.) Pers.] could not be predicted (SED = 6.8%) as precisely as the others, whereas blue panicgrass (Panicum antidotale Retz.) and sunflower (Helianthus annuus L.) were precisely predicted (SED < 2%). One to three harvest dates of seven species of hay were used in a second experiment to determine if variability within a species resulted in additional imprecision. In general, SED were higher; however, all but ‘Midland’ bermudagrass [Cynodon dactylon (L.) Pers.] gave SED of 10 or less, and the R2 of the calibration data set ranged from 0.84 to 0.98. Bermudagrass predictions were more precise if samples containing eastern gamagrass [Tripsacum dactyloides (L.) L.] cut at boot were removed from the data set. With proper calibration, NIRS could save much time normally used to separate species in hand-clipped samples. The number of samples that can be analyzed in an experiment could be increased, and hence the accuracy of determination of species composition in a given pasture should be improved.

Key Words: NIRS • Species composition • Prediction • Hay


1 Contribution of the Livestock and Forage Research Laboratory, USDA-ARS, El Reno, OK.

2 Research animal nutritionist, Livestock and Forage Res. Lab., USDA-ARS, P.O. Box 1199, El Reno, OK 73036; research chemist, Richard B. Russell Research Center, USDA-ARS, Athens, GA 30603; and chemist, Livestock and Forage Res. Lab., USDA-ARS, P.O. Box 1199, El Reno, OK 73036.

Received for publication July 9, 1984.


This article has been cited by other articles:


Home page
Agron. J.Home page
F. Locher, H. Heuwinkel, R. Gutser, and U. Schmidhalter
Development of Near Infrared Reflectance Spectroscopy Calibrations to Estimate Legume Content of Multispecies Legume-Grass Mixtures
Agron. J., January 1, 2005; 97(1): 11 - 17.
[Abstract] [Full Text] [PDF]


Home page
Agron. J.Home page
F. Locher, H. Heuwinkel, R. Gutser, and U. Schmidhalter
The Legume Content in Multispecies Mixtures as Estimated with Near Infrared Reflectance Spectroscopy: Method Validation
Agron. J., January 1, 2005; 97(1): 18 - 25.
[Abstract] [Full Text] [PDF]


Home page
Agron. J.Home page
A. J. Smart, W. H. Schacht, L. E. Moser, and J. D. Volesky
PREDICTION OF LEAF/STEM RATIO USING NEAR-INFRARED REFLECTANCE SPECTROSCOPY (NIRS): A TECHNICAL NOTE
Agron. J., January 1, 2004; 96(1): 316 - 318.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Agronomy Journal Vadose Zone Journal
Journal of Natural Resources
and Life Sciences Education
Soil Science Society of America Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome
Copyright © 1985 by the Crop Science Society of America.