Satellite Symposium 5: Molecular Breeding
Archived
This content is available here strictly for research, reference, and/or recordkeeping and as such it may not be fully accessible. If you work or study at University of Kentucky and would like to request an accessible version, please use the SensusAccess Document Converter.
Publication Date
2005
Location
Dublin Ireland
Description
Screening of plant collections for traits can be expensive, in terms of the number of plants to be screened, the duration of the plant lifecycle and the required observations. This study describes the application of a non-invasive method, hyperspectral imaging, combined with multivariate analysis, to distinguish between homozygous wild-type (YY) Lolium multiflorum and Lolium multiflorum F2 back cross plants heterozygous for y, a recessive Festuca pratensis stay-green gene (Thomas et al., 1997).
Citation
Taylor, J.; Moore, B.; Rowland, J. J.; Thomas, H.; and Ougham, H. J., "Discriminating Stay-Green Grasses Using Hyperspectral Imaging and Chemometrics" (2005). IGC Proceedings (1985-2023). 23.
(URL: https://uknowledge.uky.edu/igc/20/satellitesymposium5/23)
Included in
Agricultural Science Commons, Agronomy and Crop Sciences Commons, Plant Biology Commons, Plant Pathology Commons, Soil Science Commons, Weed Science Commons
Discriminating Stay-Green Grasses Using Hyperspectral Imaging and Chemometrics
Dublin Ireland
Screening of plant collections for traits can be expensive, in terms of the number of plants to be screened, the duration of the plant lifecycle and the required observations. This study describes the application of a non-invasive method, hyperspectral imaging, combined with multivariate analysis, to distinguish between homozygous wild-type (YY) Lolium multiflorum and Lolium multiflorum F2 back cross plants heterozygous for y, a recessive Festuca pratensis stay-green gene (Thomas et al., 1997).
