• Login
    View Item 
    •   Home
    • Journals and Magazines
    • Society for Range Management Journal Archives
    • Rangeland Ecology & Management / Journal of Range Management
    • Rangeland Ecology & Management, Volume 62 (2009)
    • Rangeland Ecology & Management, Volume 62, Number 2 (March 2009)
    • View Item
    •   Home
    • Journals and Magazines
    • Society for Range Management Journal Archives
    • Rangeland Ecology & Management / Journal of Range Management
    • Rangeland Ecology & Management, Volume 62 (2009)
    • Rangeland Ecology & Management, Volume 62, Number 2 (March 2009)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UA Campus RepositoryCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournal

    My Account

    LoginRegister

    About

    AboutUA Faculty PublicationsUA DissertationsUA Master's ThesesUA Honors ThesesUA PressUA YearbooksUA CatalogsUA Libraries

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Fecal Near-Infrared Reflectance Spectroscopy to Predict Leymus chinensis of Diets From Penned Sheep in North China

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    19933-34553-1-PB.pdf
    Size:
    182.2Kb
    Format:
    PDF
    Download
    Author
    Shu, Bin
    Zhang, Yingjun
    Lin, Lijun
    Luo, Hailing
    Wang, Hai
    Issue Date
    2009-03-01
    Keywords
    faces
    foraging selectivity
    Leymus chinensis
    near-infrared reflectance spectroscopy (NIRS)
    steppe
    
    Metadata
    Show full item record
    Citation
    Shu, B., Zhang, Y., Lin, L., Luo, H., & Wang, H. (2009). Fecal Near-Infrared Reflectance Spectroscopy to Predict Leymus chinensis of Diets From Penned Sheep in North China. Rangeland Ecology & Management, 62(2), 193-197.
    Publisher
    Society for Range Management
    Journal
    Rangeland Ecology & Management
    URI
    http://hdl.handle.net/10150/643020
    DOI
    10.2111/08-001.1
    Additional Links
    https://rangelands.org/
    Abstract
    Selective foraging among free-ranging herbivores can make measuring botanical composition of diets challenging. Using near- infrared reflectance spectroscopy (NIRS) on feces for predicting botanical components of individual animal diets is a novel method for studying diet selection. This study was conducted to determine the ability of fecal NIRS to predict the percentage of consumption of Leymus chinensis (Trin.) Tzvel., a dominant species in north China, by sheep (Ovis aries L.). The calibration data set consisted of 47 diets of known L. chinensis composition, paired with corresponding fecal spectra. These pairs were generated in a trial using restricted feeding. Validation pairs (n = 9) were collected in a similar trial that used ad libitum feeding. Derived coefficients of determination (R2) and standard error of calibration were 0.99% and 2.2% for partial least squares (PLS) regression and 0.89% and 7.3% for stepwise regression, respectively. Derived coefficients of determination (r2) and standard error of prediction were 0.78% and 4.8% for PLS regression and 0.90% and 3.2% for stepwise regression, respectively. PLS regression resulted in better calibration than stepwise regression, but when the calibration data set was small, stepwise regression improved the precision and accuracy of predictions compared with the PLS regression. Results of the present study show that a fecal NIRS equation developed from a restricted feeding trial could be used to predict the percentage of L. chinensis in fecal materials collected from voluntary feeding trials. 
    Type
    text
    Article
    Language
    en
    ISSN
    0022-409X
    ae974a485f413a2113503eed53cd6c53
    10.2111/08-001.1
    Scopus Count
    Collections
    Rangeland Ecology & Management, Volume 62, Number 2 (March 2009)

    entitlement

     
    The University of Arizona Libraries | 1510 E. University Blvd. | Tucson, AZ 85721-0055
    Tel 520-621-6442 | repository@u.library.arizona.edu
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.