Two-stage clustering in genotype-by-environment analyses with missing data

dc.citation.volume139
dc.contributor.authorGodfrey AJ
dc.contributor.authorWood GR
dc.contributor.authorGanesalingam S
dc.contributor.authorNichols MA
dc.contributor.authorQiao CG
dc.date.accessioned2008-04-03T20:34:15Z
dc.date.accessioned2016-03-06T22:25:30Z
dc.date.availableNO_RESTRICTION
dc.date.available2008-04-03T20:34:15Z
dc.date.available2016-03-06T22:25:30Z
dc.date.issued2002
dc.description.abstractCluster analysis has been commonly used in genotype-by-environment (G × E) analyses, but current methods are inadequate when the data matrix is incomplete. This paper proposes a new method, referred to as two-stage clustering, which relies on a partitioning of squared Euclidean distance into two independent components, the G × E interaction and the genotype main effect. These components are used in the first and second stages of clustering respectively. Two-stage clustering forms the basis for imputing missing values in the G × E matrix, so that a more complete data array is available for other G × E analyses. Imputation for a given genotype uses information from genotypes with similar interaction profiles. This imputation method is shown to improve on an existing nearest cluster method that confounds the G × E interaction and the genotype main effect.
dc.identifier.citationGodfrey, A. J. R.; Wood, G. R.; Ganesalingam, S.; Nichols, M. A.; Qiao, C. G. (2002). Two-stage clustering in genotype-by-environment analyses with missing data. Journal of Agricultural Science. Vol. 139, pp. 67-77.
dc.identifier.harvestedMassey_Dark
dc.identifier.harvestedMassey_Dark
dc.identifier.issn0021-8596
dc.identifier.urihttps://hdl.handle.net/10179/592
dc.language.isoen
dc.publisherCAMBRIDGE UNIV PRESS
dc.relation.isbasedonJournal of Agricultural Science. Vol. 139, pp. 67-77.
dc.relation.isformatofhttp://dx.doi.org/10.1017/S0021859602002125
dc.subject.otherFields of Research::270000 Biological Sciences::270200 Genetics::270207 Quantitative genetics
dc.titleTwo-stage clustering in genotype-by-environment analyses with missing data
dc.typeJournal article
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