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Dataset Information

A non-invasive method to predict drought survival in Arabidopsis using quantum yield under light conditions.


ABSTRACT:

Background

Survival rate (SR) is frequently used to compare drought tolerance among plant genotypes. While a variety of techniques for evaluating the stress status of plants under drought stress conditions have been developed, determining the critical point for the recovery irrigation to evaluate plant SR often relies directly on a qualitative inspection by the researcher or on the employment of complex and invasive techniques that invalidate the subsequent use of the tested individuals.

Results

Here, we present a simple, instantaneous, and non-invasive method to estimate the survival probability of Arabidopsis thaliana plants after severe drought treatments. The quantum yield (QY), or efficiency of photosystem II, was monitored in darkness (Fv/Fm) and light (Fv'/Fm') condit

SUBMITTER: Rico-Cambron TY 

PROVIDER: S-EPMC10647164 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature