Search National Agricultural Library Digital Collections

NALDC Record Details:

Discrimination of sugarcane varieties with pigment profiles and high resolution, hyperspectral leaf reflectance data

Permanent URL:
http://handle.nal.usda.gov/10113/37160
File:
Download [PDF File]
Abstract:
This study reports our evaluation of high resolution, hyperspectral leaf reflectance and pigment measurements as a potential tool to aid in the identification and delineation of commercial sugarcane varieties (interspecific hybrids of Saccharum spp.), noble canes (Saccharum officinarum L.) and wild canes (Saccharum spontaneum L.). Seven varieties of sugarcane were selected from the USDA-ARS, Sugarcane Research Laboratory (SRL) breeding program for reflectance analysis, including: five commercial cultivars, one noble cane, and one wild cane. Hyperspectral reflectance data (350 - 800 nm) at 0.4 nm intervals were collected from the third youngest fully open leaf from nine replicates using a dual input fiber optic spectroradiometer under natural light conditions from approximately equal to 1200 - 1600 h. Reflectance was measured approximately equal to10 cm from the leaf tip. After reflectance measurements were completed, a 0.5 cm disc was bored from the same leaf for plant pigments analysis. The discs were extracted with 100% acetone and analyzed by HPLC. Reflectance data were averaged into 5 and 20 nm intervals and then, with plant pigment data, were subjected to analysis of variance and multivariate mean separation techniques. Differences in reflectance were observed for each variety, with the seven cultivars having approximately threefold difference in reflectance values. Several single, wavelengths ranging from 560 - 720 nm could be used to discriminate between selected varieties, with varieties being significantly different from each other in 76% of the cases. The degree of discrimination could be increased to 86% using vegetative indices. Multivariate analysis resulted in a 95 - 100% correct classification for all varieties with leaf reflectance data and from 76 - 81% correct classification with plant pigment data.
Author(s):
Johnson, Richard M. , Viator, Ryan P. , Veremis, John C. , Richard, Edward P. Jr. , Zimba, Paul V.
Subject(s):
Saccharum , Saccharum officinarum , Saccharum spontaneum , sugarcane , sugar crops , hybrids , cultivars , interspecific hybridization , cultivar identification , plant pigments , chemical constituents of plants , reflectance , hyperspectral imagery , image analysis , spectral analysis , leaves , plant breeding , high performance liquid chromatography
Format:
p. 63-75.
Note:
Includes references
Source:
Journal of the American Society of Sugar Cane Technologists 2008. v. 28
Language:
English
Year:
2008
Collection:
Journal Articles, USDA Authors, Peer-Reviewed
Rights:
Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted.