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ANÁLISIS DE PIGMENTOS, PEROXIDASA, PROLINA Y PROTEÍNAS DE TRES ESPECIES DE Paulownia BAJO ESTRES HÍDRICO

ANALYSIS OF PIGMENTS, PEROXIDASE, PROLINE AND PROTEINS OF THREE Paulownia SPECIES UNDER WATER STRESS

José Manuel Llano Sotelo Lilia Alcaráz Meléndez (2012, [Artículo])

"Los árboles del género Paulownia son de rápido crecimiento y tienen importancia económica en Asia como materia prima de uso común en la elaboración de muebles, instrumentos musicales y cercos, lo que ha despertado interés por cultivarlos en diferentes ambientes. Con el objetivo de evaluar la tolerancia al estrés hídrico se eligieron tres especies, P. imperialis, P. fortunei y P. elongata, porque son las que se utilizan en China con mayor frecuencia en la reforestación y en la industria maderera. Se realizaron análisis bioquímicos de las hojas para determinar los siguientes componentes: como pigmentos, a las clorofilas total, a y b; β-caroteno, violaxantina y luteína); las enzimas peroxidasa y prolina, así como proteínas solubles, insolubles y totales en tres diferentes condiciones de humedad del suelo, bajo dos condiciones ambientales, campo e invernadero, entre los cuales se observaron diferencias significativas; destaca un incremento del contenido de pigmentos y peroxidasa, y una disminución de las proteínas y prolina en el ambiente controlado, principalmente. Al evaluar la respuesta al estrés hídrico entre las especies se concluyó que P. imperialis y P. elongata son más tolerantes que P. fortunei, debido a su mayor contenido de prolina, mas proteínas totales y solubles, indicadores de una mejor tolerancia a condiciones de estrés."

"Paulownia trees are fast growing and are economically important in Asia as raw material regularly used for furniture, musical instruments, fences, etc., which rose some interest in their cultivation in different environments. In order to assess water stress tolerance, three of these species, P. imperialis, P. fortunei and P. elongate, were selected as they are the most commonly used in reforestation and wood industry in China. Biochemical analyses were performed in leaves, to determine the following elements: pigments (total, a and b chlorophyll; β-carotene, violaxanthin; lutein), peroxidase, proline, total, soluble and insoluble proteins, under three moisture soil concentrations and two environments, field and greenhouse, the latter of which revealed significant differences between them; there is an increment in pigment and peroxidase content and a decrease in protein and proline content, mainly in the greenhouse environment. When water stress was assessed among species, it was concluded that P. imperialis and P. elongata are more tolerant than P. fortunei because of their higher content of proline, total and soluble proteins, which are major tolerance markers in stress conditions. "

Aminoácidos, luteína, Paulownia elongata S. Y. Hu, Paulownia fortunei (Seem.) Hemsl., Paulownia imperialis Siebold & Zucc., peroxidasa, violaxantina Amino acids BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA VEGETAL (BOTÁNICA) FISIOLOGÍA VEGETAL FISIOLOGÍA VEGETAL

Remote sensing of quality traits in cereal and arable production systems: A review

Zhenhai  Li xiuliang jin Gerald Blasch James Taylor (2024, [Artículo])

Cereal is an essential source of calories and protein for the global population. Accurately predicting cereal quality before harvest is highly desirable in order to optimise management for farmers, grading harvest and categorised storage for enterprises, future trading prices, and policy planning. The use of remote sensing data with extensive spatial coverage demonstrates some potential in predicting crop quality traits. Many studies have also proposed models and methods for predicting such traits based on multi-platform remote sensing data. In this paper, the key quality traits that are of interest to producers and consumers are introduced. The literature related to grain quality prediction was analyzed in detail, and a review was conducted on remote sensing platforms, commonly used methods, potential gaps, and future trends in crop quality prediction. This review recommends new research directions that go beyond the traditional methods and discusses grain quality retrieval and the associated challenges from the perspective of remote sensing data.

Quality Traits Grain Protein CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA REMOTE SENSING QUALITY GRAIN PROTEINS CEREALS PRODUCTION SYSTEMS