Combining multivariate analysis and monosaccharide composition modeling to identify plant cell wall variations by Fourier Transform Near Infrared spectroscopy.
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ABSTRACT:
SUBMITTER: Smith-Moritz AM
PROVIDER: S-EPMC3168417 | biostudies-literature | 2011 Aug
REPOSITORIES: biostudies-literature
Publications
Combining multivariate analysis and monosaccharide composition modeling to identify plant cell wall variations by Fourier Transform Near Infrared spectroscopy.
Smith-Moritz Andreia M AM Chern Mawsheng M Lao Jeemeng J Sze-To Wing Hoi WH Heazlewood Joshua L JL Ronald Pamela C PC Vega-Sánchez Miguel E ME
Plant methods 20110818
We outline a high throughput procedure that improves outlier detection in cell wall screens using FT-NIR spectroscopy of plant leaves. The improvement relies on generating a calibration set from a subset of a mutant population by taking advantage of the Mahalanobis distance outlier scheme to construct a monosaccharide range predictive model using PLS regression. This model was then used to identify specific monosaccharide outliers from the mutant population. ...[more]
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