High-throughput phenotyping using digital and hyperspectral imaging-derived biomarkers for genotypic nitrogen response.
Biomass
chlorophyll
image analysis
nitrogen use efficiency
vegetation indices
wheat
Journal
Journal of experimental botany
ISSN: 1460-2431
Titre abrégé: J Exp Bot
Pays: England
ID NLM: 9882906
Informations de publication
Date de publication:
25 07 2020
25 07 2020
Historique:
received:
29
10
2019
accepted:
17
03
2020
pubmed:
19
3
2020
medline:
11
5
2021
entrez:
19
3
2020
Statut:
ppublish
Résumé
The development of crop varieties with higher nitrogen use efficiency is crucial for sustainable crop production. Combining high-throughput genotyping and phenotyping will expedite the discovery of novel alleles for breeding crop varieties with higher nitrogen use efficiency. Digital and hyperspectral imaging techniques can efficiently evaluate the growth, biophysical, and biochemical performance of plant populations by quantifying canopy reflectance response. Here, these techniques were used to derive automated phenotyping of indicator biomarkers, biomass and chlorophyll levels, corresponding to different nitrogen levels. A detailed description of digital and hyperspectral imaging and the associated challenges and required considerations are provided, with application to delineate the nitrogen response in wheat. Computational approaches for spectrum calibration and rectification, plant area detection, and derivation of vegetation index analysis are presented. We developed a novel vegetation index with higher precision to estimate chlorophyll levels, underpinned by an image-processing algorithm that effectively removed background spectra. Digital shoot biomass and growth parameters were derived, enabling the efficient phenotyping of wheat plants at the vegetative stage, obviating the need for phenotyping until maturity. Overall, our results suggest value in the integration of high-throughput digital and spectral phenomics for rapid screening of large wheat populations for nitrogen response.
Identifiants
pubmed: 32185382
pii: 5809332
doi: 10.1093/jxb/eraa143
pmc: PMC7382386
doi:
Substances chimiques
Biomarkers
0
Nitrogen
N762921K75
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
4604-4615Commentaires et corrections
Type : ErratumIn
Informations de copyright
© The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Experimental Biology.
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