A non-invasive method to predict drought survival in Arabidopsis using quantum yield under light conditions
Thelma Y Rico-Cambron, Elohim Bello-Bello, Octavio Martínez, Luis Herrera-Estrella · 2023
Read A non-invasive method to predict drought survival in Arabidopsis using quantum yield under light conditions by Thelma Y Rico-Cambron, Elohim Bello-Bello, Octavio Martínez, Luis Herrera-Estrella (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10647164.txt.
Description
A peer-reviewed research article from Europe PMC (2023). BackgroundSurvival 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.ResultsHere, we present a simple, instantaneous, and non-invasive method to estimate
Catalog record
| CREATOR | Thelma Y Rico-Cambron, Elohim Bello-Bello, Octavio Martínez, Luis Herrera-Estrella |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 42 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |