Hostname: page-component-7dd5485656-kp629 Total loading time: 0 Render date: 2025-11-02T17:59:46.082Z Has data issue: false hasContentIssue false
  • English
  • Français

The establishment of faecal nitrogen—digestibility regressions for animals grazing irrigated pasture

Published online by Cambridge University Press:  27 March 2009

G. R. Pearce ,
J. E. Vercoe  and
M. Freer
G. R. Pearce
Affiliation:
State Department of Agriculture, Werribee, Victoria, Australia
J. E. Vercoe
Affiliation:
State Department of Agriculture, Werribee, Victoria, Australia
M. Freer
Affiliation:
State Department of Agriculture, Werribee, Victoria, Australia
Get access Rights & Permissions [Opens in a new window]

Extract

A regression for feed-to-faeces ratio on faecal nitrogen percentage was formulated from trials in which perennial irrigated pasture cut to ground level was fed to cattle and sheep at various times over several years.

Similar data derived from ‘top’ (mainly leaf) and ‘bottom’ (mainly stem) cuts of a spring and of an autumn stand of pasture from the same vicinity did not conform with the ‘whole’ cut relationship and the three regressions which were established were heterogeneous.

It is suggested that due to selectivity, the application to grazing animals of a regression derived from pasture cut to ground level may result in considerable error.

Information

Type
Research Article
Information
The Journal of Agricultural Science , Volume 59 , Issue 3 , November 1962 , pp. 397 - 402
Copyright
Copyright © Cambridge University Press 1962

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

REFERENCES

Arnold, G. W. (1960). Aust. J. Agric. Res. 11, 1026.CrossRefGoogle Scholar
Association of Official Agricultural Chemists (1955). Official Methods of Analysis. Washington, D.C.Google Scholar
Balch, C. C., Bartlett, S. & Johnson, V. W. (1951). J. Agric. Sci. 41, 98.Google Scholar
Cochran, W. G. & Cox, Gertrude M. (1950). Experimental Designs. New York: Wiley and Sons.Google Scholar
Fels, H. E., Moir, R. J. & Rossiter, R. C. (1959). Aust. J. Agric. Res. 10, 237.Google Scholar
Freer, M. (1959). Ph.D. Thesis. University of Melbourne.Google Scholar
Goulden, C. H. (1952). Methods of Statistical Analysis. New York: Wiley and Sons.Google Scholar
Greenhalgh, J. F. D. & Corbett, J. L. (1960). J. Agric. Sci. 55, 371.CrossRefGoogle Scholar
Greenhalgh, J. F. D., Corbett, J. L. & McDonald, I. (1960). J. Agric. Sci. 55, 377.Google Scholar
Kennedy, W. K., Carter, A. H. & Lancaster, R. J. (1959). N.Z. J. Agric. Res. 2, 627.CrossRefGoogle Scholar
Lancaster, R. J. (1954). N.Z. J. Sci. Tech. 36, 15.Google Scholar
Milford, R. (1957). Aust. J. Agric. Res. 8, 359.CrossRefGoogle Scholar
Minson, D. J. & Kemp, C. D. (1961). J. Brit. Grassl. Soc. 16, 76.Google Scholar
Minson, D. J. & Raymond, W. F. (1958). Exp. Grassl. Res. Inst. Hurley, 10, 92.Google Scholar
Raymond, W. F., Eyles, D. E. & Caukwell, V. G. (1949). J. Brit. Grassl. Soc. 4, 111.Google Scholar
Raymond, W. F., Harris, C. E. & Harker, V. G. (1953 a). J. Brit. Grassl. Soc. 8, 301.CrossRefGoogle Scholar
Raymond, W. F., Harris, C. E. & Harker, V. G. (1953 b). J. Brit. Grassl. Soc. 8, 315.Google Scholar
Raymond, W. F., Kemp, C. D., Kemp, A. W. & Harris, C. E. (1954). J. Brit. Grassl. Soc. 9, 69.CrossRefGoogle Scholar
Weston, R. H. (1959). Aust. J. Agric. Res. 10, 865.Google Scholar