JVDI Advertisement
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


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 Similar articles in PubMed
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 Maas, J
Right arrow Articles by et, al.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Maas, J
Right arrow Articles by et, al.
Journal of Veterinary Diagnostic Investigation, Vol 4, Issue 1, 48-52
Copyright © 1992 by American Association of Veterinary Laboratory Diagnosticians


Articles

The correlation between serum selenium and blood selenium in cattle

J Maas, FD Galey, Peauroi JR, JT Case, ES Littlefield, CC Gay, LD Koller, RO Crisman, DW Weber, DW Warner, and al. et

California Veterinary Diagnostic Laboratory System, School of Veterinary Medicine, University of California, Davis 95616.

The selenium (Se) concentration of paired blood and serum samples from cattle was determined by 2 methods: 1) atomic absorption spectroscopy using hydride generation (HG-AAS), and 2) inductively coupled argon plasma emission spectroscopy using hydride generation (ICP). Samples from 327 cattle were analyzed by HG-AAS, and samples from 344 cattle were analyzed by ICP. The data were examined by linear regression analysis, and the technique of inverse prediction was utilized to determine prediction intervals for estimating blood Se concentration from known serum Se concentration. The correlation coefficients, by simple linear regression of serum Se on blood Se, were 0.79 (r2 = 0.62) and 0.88 (r2 = 0.77) for the HG-AAS data and the ICP data, respectively. For the HG-AAS data, the inverse prediction formula for estimating blood Se when serum Se is known, at the 95% prediction interval, was [formula; see text]. For the ICP data, the inverse prediction formula for estimating blood Se when serum Se is known, at the 95% prediction interval, was [formula; see text]. The prediction intervals were quite wide, and the accuracy of estimating blood Se from a known serum Se was not useful for diagnostic purposes. The use of serum Se concentration to assess nutritional status of cattle with respect to Se does not appear to be appropriate.


This article has been cited by other articles:


Home page
J ANIM SCIHome page
P. A. Davis, L. R. McDowell, N. S. Wilkinson, C. D. Buergelt, R. Van Alstyne, R. N. Weldon, and T. T. Marshall
Tolerance of inorganic selenium by range-type ewes during gestation and lactation
J Anim Sci, March 1, 2006; 84(3): 660 - 668.
[Abstract] [Full Text] [PDF]


Home page
J. Nutr.Home page
L. Rao, B. Puschner, and T. A. Prolla
Gene Expression Profiling of Low Selenium Status in the Mouse Intestine: Transcriptional Activation of Genes Linked to DNA Damage, Cell Cycle Control and Oxidative Stress
J. Nutr., December 1, 2001; 131(12): 3175 - 3181.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 1992 by the American Association of Veterinary Laboratory Diagnosticians, Inc.