35 research outputs found

    Influence of nutrient inputs from a wetland dominated by agriculture on the phytoplankton community in a shallow harbour at the Spanish Mediterranean coast

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    [EN] The Safor Wetland (Western Mediterranean) is a protected ecosystem declared Site of Community Importance under the Habitats Directive. Agricultural practices have been part of this ecosystem throughout history, and its hydrology is anthropogenically manipulated to satisfy cultivation needs. Freshwater from the wetland is discharged through surface channels to Gandia Harbour, a shallow water body with high water residence time. This study evaluated the linear eutrophication gradient downstream from the freshwater inflow locations. The role of the main nutrients in determining the phytoplankton community is discussed. The predominance of agricultural practices, 48% of the watershed soil, caused an excess of nitrogen and an imbalance in the nutrient ratios at all the sampling points. Phosphorus concentrations were particularly low, and did not exceed 1.0 ¿M. Chlorophyll-a concentration was of the order of that found in other eutrophic estuarine waters. In general, flagellates dominated over diatoms at all the harbour sampling points and depths. Potentially blooming species of both phytoplankton groups were detected. The correct implementation of the existing agricultural best management practices should continue to reduce nitrogen and phosphorus loading to the estuary. It seems reasonable that for effective control of the eutrophication effects in this area, strict control over wastewater point sources should be also exercised. © 2012 Elsevier B.V.Sebastiá Frasquet, MT.; Rodilla Alamá, M.; Sanchís Blay, JA.; Altur Grau, VJ.; Gadea Pérez, MI.; Falco Giaccaglia, SL. (2012). Influence of nutrient inputs from a wetland dominated by agriculture on the phytoplankton community in a shallow harbour at the Spanish Mediterranean coast. AGRICULTURE ECOSYSTEMS & ENVIRONMENT. 152(3):10-20. doi:10.1016/j.agee.2012.02.006S1020152

    Estudio de Bauhinia thonningii y el impacto de diferentes disolventes de extracción en el potencial antioxidante de la planta

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    Bauhinia thonningii (Milne-Redhead) forma parte de la medicina tradicional de África occidental, donde sus hojas se emplean para tratar enfermedades inflamatorias e infecciosas. Investigamos el efecto antioxidante de los extractos de hojas (BAFA), corteza (BACA) y raíz (BARA) de Bauhinia thonningii, realizando extracciones con diferentes disolventes. Valoramos la actividad antirradicalaria frente al radical DPPH, donde los extractos BARA-Acet y BARA-Eta desarrollaron una actividad antirradicalaria no inferior a Quercetina (73,1±0,8; 72,3±0,4 y 77,9±4,4 %, respectivamente). Otros cuatro extractos, BAFA y BARA en acetona y etanol, presentaron una inhibición de más del 65% del radical DPPH. La actividad antirradicalaria del patrón Quercetina frente radical óxido nítrico (NO) fue de 57,7±1,2%, valores superiores al 50% también fueron obtenidos con BACA-Hex, BACA-Acet y BARA-Acet. Fueron los extractos obtenidos a partir de las hojas de Bauhinia thonningii, BAFA-Acet y BAFA-Eta, junto con BACA-Eta, los que presentaron mayor actividad frente al radical anión superóxido (●O2−) (50,1±3,8, 51,9±2,5 y 50,1±3,7%, respectivamente), siendo similares a la eficacia demostrada por Quercetina (53,0±0,8%). Ninguno de los extractos hexánicos desarrolló actividad antioxidante frente al radical ●O2−. En los ensayos de peroxidación lipídica, todos los extractos obtenidos de las hojas y la corteza de Bauhinia thonningii presentaron un efecto inhibitorio máximo superior al 90%, sin diferencias significativas cuando se compara frente al patrón Curcumina. Concluimos que las tres partes de la planta evaluada poseen constituyentes con poder antioxidante y, además, que la mayor eficacia se obtiene cuando se emplean los disolventes etanol y acetona para la obtención de los extractos

    Quantifying the Production of Fruit-Bearing Trees Using Image Processing Techniques

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    [EN] In recent years, the growth rate of world agricultural production and crop yields have decreased. Crop irrigation becomes essential in very dry areas and where rainfall is scarce, as in Egypt. Persimmon needs low humidity to obtain an optimal crop. This article proposes the monitoring of its performance, in order to regulate the amount of water needed for each tree at any time. In our work we present a technique that consists of obtaining images of some of the trees with fruit, which are subsequently treated, to obtain reliable harvest data. This technique allows us to have control and predictions of the harvest. Also, we present the results obtained in a first trial, through which we demonstrate the feasibility of using the system to meet the objectives set. We use 5 different trees in our experiment. Their fruit production is different (between 20 and 47kg of fruit). The correlation coefficient of the obtained regression model is 0.97.This work has been partially supported by European Union through the ERANETMED (Euromediterranean Cooperation through ERANET joint activities and beyond) project ERANETMED3-227 SMARTWATIR by the Conselleria de Educación, Cultura y Deporte with the Subvenciones para la contratación de personal investigador en fase postdoctoral, grant number APOSTD/2019/04, and by the Cooperativa Agrícola Sant Bernat Coop.V.García, L.; Parra-Boronat, L.; Basterrechea-Chertudi, DA.; Jimenez, JM.; Rocher-Morant, J.; Parra-Boronat, M.; García-Navas, JL.... (2019). Quantifying the Production of Fruit-Bearing Trees Using Image Processing Techniques. IARIA XPS Press. 14-19. http://hdl.handle.net/10251/180619S141

    Design of a WSN for smart irrigation in citrus plots with fault-tolerance and energy-saving algorithms

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    [EN] Wireless sensor networks are widely used for monitoring different processes, including agriculture, in order to reach sustainability. One of the keys to sustainable crops is water saving. In particular, saving water is extremely important in arid and semiarid regions. In those regions, citrus trees are cultivated, and drip irrigation is used to save water. In this paper, we propose a smart irrigation system for citrus trees using a WSN. We describe the employed sensors and nodes for this proposal. Next, we present the proposed architecture and the operational algorithms for the nodes. Moreover, we designed different algorithms for fault tolerance and energy saving functionalities. The energy saving algorithm is based on the relevance of the gathered data, which is analyzed in order to consider whether the information should be forwarded or not. A TPC-based protocol is proposed to perform the communication among the nodes of our system. In addition, we present different simulations of the proposed system. Particularly, we show the consumed bandwidth and the remaining energy in the different nodes. Finally, we test different energy configurations to evaluate the network lifetime and the remaining energy when the first node depletes its energy.This work has been partially supported by the “Conselleria d' Educació, Investigació, Cultura i Esport” through the “Subvenciones para la contratación de personal investigator de carácter predoctoral (Convocatoria 2017)” Grant number ACIF/2017/069, by the “Ministerio de Educación, Cultura y Deporte”, through the “Ayudas para contratacion predoctoral de Formación del Profesorado Universitario FPU (Convocatoria 2014)”. Grant number FPU14/02953 and finally, the research leading to these results has received funding from “la Caixa” Foundation and Triptolemos Foundation. This work has also been partially supported by European Union through the ERANETMED (Euromediterranean Cooperation through ERANET joint activities and beyond) project ERANETMED3-227 SMARTWATIR.Parra-Boronat, L.; Rocher-Morant, J.; García-García, L.; Lloret, J.; Tomás Gironés, J.; Romero Martínez, JO.; Rodilla, M.... (2018). Design of a WSN for smart irrigation in citrus plots with fault-tolerance and energy-saving algorithms. Network Protocols and Algorithms. 10(2):95-115. https://doi.org/10.5296/npa.v10i2.13205S9511510

    Implementación del aprendizaje colaborativo utilizando la herramienta Nearpod en las clases prácticas de Alergología

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    Memoria ID-144. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2019-2020.[ES]Nearpod es una herramienta digital que permite la interacción profesor-alumno mediante dispositivo móviles, utilizando la conexión a internet, y posibilita la inserción de actividades en las presentaciones de contenidos. El objetivo general es mejorar el proceso de enseñanza aprendizaje en la docencia práctica de la asignatura de Alergologí
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