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

Arief, Vivi Noviati, DeLacy, I. H., Basford, K. E. and Dieters, M. J. (2017) Application of a dendrogram seriation algorithm to extract pattern from plant breeding data. Euphytica, 213 4: . doi:10.1007/s10681-017-1870-z


Author Arief, Vivi Noviati
DeLacy, I. H.
Basford, K. E.
Dieters, M. J.
Title Application of a dendrogram seriation algorithm to extract pattern from plant breeding data
Journal name Euphytica   Check publisher's open access policy
ISSN 1573-5060
0014-2336
Publication date 2017-04-01
Sub-type Article (original research)
DOI 10.1007/s10681-017-1870-z
Open Access Status Not yet assessed
Volume 213
Issue 4
Total pages 11
Place of publication Dordrecht, Netherlands
Publisher Springer Netherlands
Collection year 2018
Language eng
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.
Keyword Dendrogram
Optimized dendrogram
Plant breeding
Seriation
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
School of Agriculture and Food Sciences
 
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