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Investigating Foliar Macro- and Micronutrient Variation with Chlorophyll Fluorescence and Reflectance Measurements at the Leaf and Canopy Scales in Potato

Authors :
Jaakko Oivukkamäki
Jon Atherton
Shan Xu
Anu Riikonen
Chao Zhang
Teemu Hakala
Eija Honkavaara
Albert Porcar-Castell
Department of Forest Sciences
Doctoral Programme in Atmospheric Sciences
Ecosystem processes (INAR Forest Sciences)
Forest Ecology and Management
Doctoral Programme in Plant Sciences
Department of Agricultural Sciences
Viikki Plant Science Centre (ViPS)
Maanmittauslaitos
National Land Survey of Finland
Source :
Remote Sensing; Volume 15; Issue 10; Pages: 2498
Publication Year :
2023

Abstract

Funding Information: This work was supported by the University of Helsinki (starting package funds to Porcar-Castell) and the Horizon 2020 project number 820852 (“E-SHAPE” (EuroGEOSS Showcases: Applications Powered by Europe)). Open access funding provided by University of Helsinki. Publisher Copyright: © 2023 by the authors. Vegetation indices (VIs) related to plant greenness have been studied extensively for the remote detection of foliar nitrogen content. Yet, the potential of chlorophyll fluorescence (ChlF) and photoprotection-based indices such as the photochemical reflectance index (PRI) or the chlorophyll/carotenoid index (CCI) for the detection of a wide range of nutrients remains elusive. We measured the dynamics of foliar macro- and micronutrient contents in potato plants as affected by fertilization and water stress, along with leaf and canopy level observations of spectral reflectance and ChlF (or solar-induced fluorescence). ChlF and photoprotection-related indices were more strongly related to a wide range of foliar nutrient contents compared to greenness-based indices. At the leaf level, relationships were largely mediated by foliar chlorophyll contents (Cab) and leaf morphology, which resulted in two contrasting groupings: a group dominated by macronutrients N, P, K, and Mg that decreased during canopy development and was positively correlated with Cab, and a group including Cu, Mn, Zn, and S that increased and was negatively related to Cab. At the canopy-level, spectral indices were additionally influenced by canopy structure, and so their capacity to detect foliar nutrient contents depends on the spatiotemporal covariation between foliar Cab, morphology, and canopy structure within the observations.

Details

Language :
English
Database :
OpenAIRE
Journal :
Remote Sensing; Volume 15; Issue 10; Pages: 2498
Accession number :
edsair.doi.dedup.....b4500a941db46a0c5eaaacb5697bb395