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Periodic regression in long-term agricultural experiments

Published online by Cambridge University Press:  27 March 2009

E. A. Roberts
E. A. Roberts
Affiliation:
Biometrical Branch, N.S.W. Department of Agriculture, McKell Building, Rawson Place, Sydney 2000, Australia
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Extract

Evans & Roberts (1979) considered that loworder polynomials such as mean, linear and quadratic were adequate to describe the trends that occur in treatment contrasts in long-term agricultural experiments. This conclusion was based on experience with experiments on levels of fertilizers and rates of stocking on similar pastures. In such experiments, the marked seasonal pattern in the data disappears when comparisons between treatments are followed. However, further experience with experiments comparing cultivars has shown that some comparisons still show a seasonal pattern. Such patterns may be accounted for by periodic regression (Bliss, 1970).

Type
Short Notes
Information
The Journal of Agricultural Science , Volume 95 , Issue 1 , August 1980 , pp. 233 - 234
Copyright
Copyright © Cambridge University Press 1980

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References

Bliss, C. I. (1970). Statistics in Biology, volume 2. New York: McGraw-Hill.Google Scholar
Evans, J. C. & Roberts, E. A. (1979). Analysis of sequential observations with applications to experiments on grazing animals and perennial plants. Biometrics 35, 687–693.CrossRefGoogle Scholar
Fitzgerald, R. D. (1979). A comparison of four pasture types for the wheat belt of southern New South Wales. Australian Journal of Experimental Agriculture and Animal Husbandry 19, 216–224.CrossRefGoogle Scholar