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- Author or Editor: T. K. Broschat x
- HortScience x
Abstract
Principal component analysis, a technique which reduces the dimensionality of multivariate data by removing intercorrelations among variables, has a number of potentially useful applications in horticultural research. It can be used to order multivariate commodity quality data in 1 or 2 orthogonal dimensions called principal components, which express most of the variance of the original data. Scores on these principal components can be used as an index of commodity quality to replace subjective visual quality ratings in conventional statistical analyses. Interpretation of the pattern of variable loadings on these principal components may aid in the elucidation of interactions among variables in the data. Plotting of multivariate data in 2 or 3 dimensional principal component space can be useful for displaying relationships among cultivars or species in taxonomic studies.
Abstract
Foliage of 57 species of tropical ornamental plants was harvested and placed under a controlled indoor environment to determine its postharvest life. Foliage was placed in deionized water, pulsed for 4 hr with 2 mm silver thiosulfate, and then transferred to deionized water, pulsed for 4 hr with 800 mg·liter-1 8-hydroxyquinoline citrate (8-HQC) and 20 g·liter-1 sucrose and then transferred to deionized water, or held in 200 mg·liter-1, 8-HQC and 20 g·liter-1 sucrose for the duration of the experiment. Foliage of 40 species lasted longer than 20 days and 28 species lasted 30 days or more in deionized water alone. Pulsing or holding foliage in preservative solutions lengthened postharvest life over that in deionized water for 12 species, but deionized water alone was as good as or better than other solutions for 46 species.