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Comparison of Variety Means Using Cluster Analysis and Dendrograms

Published online by Cambridge University Press:  03 October 2008

I. T. Jolliffe,
O. B. Allen and
B. R. Christie
I. T. Jolliffe
Affiliation:
Mathematical Institute, University of Kent, Canterbury, Kent, CT2 7NF, England
O. B. Allen
Affiliation:
Departments of Animal and Poultry Science and Mathematics and Statistics, University of Guelph, Guelph, Ontario, NIG 2W1, Canada
B. R. Christie
Affiliation:
Crop Science Department, University of Guelph, Guelph, Ontario, NIG 2W1, Canada
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Summary

In many experiments which compare a large number of different treatments or varieties, it is necessary to decide which sub-sets of treatments or varieties do not differ significantly from each other. Multiple comparison procedures provide a commonly used, but much criticized, way of tackling this problem. As an alternative, techniques known collectively as cluster analysis can be used. An advantage of using certain types of cluster analysis is that their results can be displayed as a dendrogram or tree diagram which gives a very useful picture of the overall relationship between treatments or varieties. These procedures can also be extended readily to multivariate observations from each plot.

Information

Type
Research Article
Information
Experimental Agriculture , Volume 25 , Issue 2 , April 1989, pp. 259 - 269
Copyright
Copyright © Cambridge University Press 1989

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