Combining multivariate analysis and monosaccharide composition modeling to identify plant cell wall variations by Fourier Transform Near Infrared spectroscopy.
- Author(s): Smith-Moritz, Andreia M
- Chern, Mawsheng
- Lao, Jeemeng
- Sze-To, Wing Hoi
- Heazlewood, Joshua L
- Ronald, Pamela C
- Vega-Sánchez, Miguel E
- et al.
Published Web Locationhttp://www.plantmethods.com/content/7/1/26
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.
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