Principal component analysis in horticultural research.
TK Broschat - 1979 - cabidigitallibrary.org
1979•cabidigitallibrary.org
Principal component analysis is a technique which reduces the dimensionality of
multivariate data by removing intercorrelations among variables. To illustrate its application
in horticultural research, data are presented from two experiments. In the first, the effects
were evaluated of different sucrose and 8-hydroxyquinoline citrate levels on the quality and
vase life of cut chrysanthemum flowers [see HcA 47, 1674]. In the second, the method was
used in the chemotaxonomic identification of Juniperus horizontalis cvs by foliage …
multivariate data by removing intercorrelations among variables. To illustrate its application
in horticultural research, data are presented from two experiments. In the first, the effects
were evaluated of different sucrose and 8-hydroxyquinoline citrate levels on the quality and
vase life of cut chrysanthemum flowers [see HcA 47, 1674]. In the second, the method was
used in the chemotaxonomic identification of Juniperus horizontalis cvs by foliage …
Abstract
Principal component analysis is a technique which reduces the dimensionality of multivariate data by removing intercorrelations among variables. To illustrate its application in horticultural research, data are presented from two experiments. In the first, the effects were evaluated of different sucrose and 8-hydroxyquinoline citrate levels on the quality and vase life of cut chrysanthemum flowers [see HcA 47, 1674]. In the second, the method was used in the chemotaxonomic identification of Juniperus horizontalis cvs by foliage monoterpenes. [see HcA 47, 9695].
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