Hostname: page-component-78c5997874-j824f Total loading time: 0 Render date: 2024-11-18T03:19:42.739Z Has data issue: false hasContentIssue false

Analysis of Experiments Involving Line Source Sprinkler Irrigation

Published online by Cambridge University Press:  03 October 2008

D. D. V. Morgan
Affiliation:
Silsoe College, Silsoe, Bedford, MK45 4DT, England
M. K. V. Carr
Affiliation:
Silsoe College, Silsoe, Bedford, MK45 4DT, England

Summary

The line-source sprinkler irrigation system provides a continuously variable water application rate, which depends on distance from the line-source. The system is simple to set up and minimizes the amount of land required for experimental work. As the irrigation treatments are allocated systematically, the assumptions of analysis of variance are not satisfied. It is proposed that the effects of irrigation treatments be assessed using analysis of covariance, with distance from the sprinkler line as covariate, thus adjusting for a linear fertility trend. This method of analysis provides an approximate residual mean square for the fitting of response curves, but could be vulnerable to a quadratic fertility trend.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1988

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.)

References

REFERENCES

Aragon, E. L. & De Datta, S. K. (1982). Drought response of rice at different nitrogen levels using line source sprinkler system. Irrigation Science 3:6373.Google Scholar
Bartlett, M. S. (1978). Nearest neighbour models in the analysis of field experiments (with discussion). Journal of the Royal Statistical Society Series B 40:147174.Google Scholar
Cleaver, T. J., Greenwood, D. J. & Wood, J. T. (1970). Systematically arranged fertilizer experiments. Journal of Horticultural Science 45:457469.Google Scholar
Dyke, G. V. (1974). Comparative Experiments with Field Crops. London: Butterworth.Google Scholar
Dyke, G. V. (1980). Covariance and field experiments. Bulletin in Applied Statistics 7:1021.Google Scholar
Federer, W. T. & Schlottfeldt, C. S. (1954). The use of covariance to control gradients in experiments. Biometrics 10:282290.CrossRefGoogle Scholar
Hanks, R. J., Keller, J., Rasmussen, V. P. & Wilson, G. D. (1976). Line source sprinkler for continuous variable irrigation-crop production studies. Soil Science Society of America Proceedings 40:426429.Google Scholar
Hanks, R. J., Sisson, D. V., Hurst, R. L. & Hubbard, K. G. (1980). Statistical analysis of results from irrigation experiments using the line-source sprinkler system. Soil Science Society of America Journal 44:886888.CrossRefGoogle Scholar
ICRISAT (International Crops Research Institute for the Semi Arid Tropics) (1982). Annual report for 1981. Patancheru, A.P., India: ICRISAT.Google Scholar
Johnson, D. E., Chaudhuri, U. N. & Kanemasu, E. T. (1983). Statistical analysis of line-source sprinkler experiments and other non-randomized experiments using multivariate methods. Soil Science Society of America Journal 47:309312.Google Scholar
Nelder, J. A. (1962). New kinds of systematic designs for spacing experiments. Biometrics 18:283307.Google Scholar
Pearce, S. C. (1977). The use of a small computer in agricultural research. Experimental Agriculture 13:257264.CrossRefGoogle Scholar
Sorensen, V. M., Hanks, R. J. & Cartee, R. L. (1980). Effect of several seedbed treatments and irrigation on corn production. Agronomy Journal 72:266270.CrossRefGoogle Scholar
Steel, R. G. D. & Torrie, J. H. (1980). Principles and Procedures of Statistics (2nd edition). New York: McGraw Hill.Google Scholar