Submitted to: National Cotton Council Beltwide Cotton Conference
Publication Type: Abstract only
Publication Acceptance Date: 1/7/1999
Publication Date: N/A
Citation: Interpretive Summary:
Technical Abstract: Principal component analysis (PCA) was used to identify physiological and environmental contributions to leaf reflectance spectra. The reflectance spectra of cotton (Gossypium hirsutum L.) leaves that varied in genotype, age, light exposure and chemical treatment were pooled for analysis. Spectra from 350-1050 nm were obtained with a GER 1500 spectroradiometer. The variation in principal axes of the cotton leaf reflectance spectrum was attributed to light source quality, pigment concentration, diurnal variation in incident radiation, and leaf surface features. Multivariate approaches will aid in achieving the noninvasive, near real-time analysis of the physiological states of plants in some detail. PCA can separate environmental and physiological contributions to leaf reflectance spectra. This allows the possibility of analytically filtering out one or the other.