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Application of a dendrogram seriation algorithm to extract pattern from plant breeding data

Author:
Arief, ViviNoviati, DeLacy, I.H., Basford, K.E., Dieters, M.J.
Source:
Euphytica 2017 v.213 no.4 pp. 85
ISSN:
0014-2336
Subject:
algorithms, breeding programs, genotype-environment interaction, plant breeding
Abstract:
A dendrogram is often used to display the results from hierarchical clustering; however, the order of objects in a standard dendrogram is arbitrary and so similarity cannot be readily interpreted. An optimized dendrogram, a dendrogram produced by re-ordering the objects using a seriation method, has a customized ordering that reflects the similarity among objects with most similar objects located closest together. Hierarchical clustering has been applied to the analysis of data from plant breeding programs to identify the patterns in breeding populations and to study genotype by environment interactions. In this paper we demonstrate the advantage of an optimized dendrogram for interpretation of plant breeding data and, given this advantage, argue that an optimized dendrogram should be used as the default whenever hierarchical clustering is used.
Agid:
5724835