Publication:

Evaluating potential of leaf reflectance spectra to monitor plant genetic variation

Date

Date

Date
2023
Journal Article
Published version

Citations

Citation copied

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

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19 since deposited on 2024-02-21
Acq. date: 2025-11-14

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92 since deposited on 2024-02-21
Acq. date: 2025-11-14

Additional indexing

Creators (Authors)

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
19

Number

Number

Number
1

Page range/Item number

Page range/Item number

Page range/Item number
108

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Keywords

Plant Science, Genetics, Biotechnology

Language

Language

Language
English

Publication date

Publication date

Publication date
2023-10-14

Date available

Date available

Date available
2024-02-21

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
1746-4811

OA Status

OA Status

OA Status
Gold

Free Access at

Free Access at

Free Access at
DOI

PubMed ID

PubMed ID

PubMed ID

Metrics

Downloads

19 since deposited on 2024-02-21
Acq. date: 2025-11-14

Views

92 since deposited on 2024-02-21
Acq. date: 2025-11-14

Citations

Citation copied

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

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