Publication: Evaluating potential of leaf reflectance spectra to monitor plant genetic variation
Evaluating potential of leaf reflectance spectra to monitor plant genetic variation
Date
Date
Date
Citations
Li, C., Czyz, E. A., Halitschke, R., Baldwin, I. T., Schaepman, M. E., & Schuman, M. C. (2023). Evaluating potential of leaf reflectance spectra to monitor plant genetic variation. Plant Methods, 19(1), 108. https://doi.org/10.1186/s13007-023-01089-9
Abstract
Abstract
Abstract
Remote sensing of vegetation by spectroscopy is increasingly used to characterize trait distributions in plant communities. How leaves interact with electromagnetic radiation is determined by their structure and contents of pigments, water, and abundant dry matter constituents like lignins, phenolics, and proteins. High-resolution ("hyperspectral") spectroscopy can characterize trait variation at finer scales, and may help to reveal underlying genetic variation-information important for assessing the potential of populations to adapt
Metrics
Downloads
Views
Additional indexing
Creators (Authors)
Volume
Volume
Volume
Number
Number
Number
Page range/Item number
Page range/Item number
Page range/Item number
Item Type
Item Type
Item Type
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Keywords
Language
Language
Language
Publication date
Publication date
Publication date
Date available
Date available
Date available
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
OA Status
OA Status
OA Status
Free Access at
Free Access at
Free Access at
Publisher DOI
Metrics
Downloads
Views
Citations
Li, C., Czyz, E. A., Halitschke, R., Baldwin, I. T., Schaepman, M. E., & Schuman, M. C. (2023). Evaluating potential of leaf reflectance spectra to monitor plant genetic variation. Plant Methods, 19(1), 108. https://doi.org/10.1186/s13007-023-01089-9