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Dataset Information

Combine photosynthetic characteristics and leaf hyperspectral reflectance for early detection of water stress.


ABSTRACT: Advanced techniques capable of early and non-destructive detection of the impacts of water stress on trees and estimation of the underlying photosynthetic capacities on larger scale are necessary to meet the challenges of limiting plant growth and ecological protection caused by drought. We tested influence of continuous water stress on photosynthetic traits including Leaf Chlorophyll content (LCC) and Chlorophyll Fluorescence (ChlF) and combined hyperspectral reflectance as a high-throughput approach for early and non-destructive assessment of LCC and ChlF traits in Rhamnus leptophylla trees. LCC and ChlF parameters (NPQ, Fv'/Fm', ETR, ETRmax, Fm', qL, qP, Y(II) were measured alongside leaf hyperspectral reflectance from Rhamnus leptophylla suffering from constant drought du

SUBMITTER: Li L 

PROVIDER: S-EPMC12014561 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature