A non-invasive method to predict drought survival in Arabidopsis using quantum yield under light conditions
Artículo
Te invitamos a leer el artículo "A non-invasive method to predict drought survival in Arabidopsis using quantum yield under light conditions" publicado en Plant Methods, a cargo del profesor emérito Dr. Luis Herrera Estrella, el profesor investigador Dr. Octavio Martínez y su equipo de trabajo de la UGA-Langebio.
Autores: M.C. Thelma Yerenny Rico Cambron / Dr. Elohim Bello Bello / Dr. Octavio Martínez / Dr. Luis Herrera Estrella
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Laboratorio Nacional de Genómica para la Biodiversidad (LANGEBIO)/Unidad de Genómica Avanzada. CINVESTAV.
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Plant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies.
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Department of Plant and Soil Science, Institute of Genomics for Crop Abiotic Stress Tolerance, Texas Tech University.
Felicitamos al estudiantado y profesorado que contribuyeron en esta investigación por su arduo trabajo.
Summary:
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.