980 resultados para Rivera, Fructuoso, ca. 1784-1854.


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De abril a diciembre de 2012, de un ensayo ya establecido se realizaron dos estudios en el cultivo de café variedad pacas, con el objetivo de determinar las curvas de crecimiento, peso seco y acumulación de nutrientes (N, P, K, Ca y Mg) por los frutos de café. El ensayo de sistemas fue establecido en el año 2000 en el Centro Nacional de Cooperativismo (CENECCOP), Masatepe, Nicaragua donde se establecieron cuatro parcelas grandes con combinación de árboles de sombra maderables y de servicio y una parcela a pleno sol. En las parcelas grandes se establecieron cuatro sub parcelas o niveles de fertilización orgánica (orgánico intensivo y orgánico moderado) y fertilización convencional (convencional intensivo y convencional moderado) para un total de 14 tratamientos. De este ensayo se seleccionaron para el primer experimento dos niveles de sombra (Inga laurina – Samanea saman y Tabebuia rosea – Simaruba glauca) cada parcela grande con los cuatro niveles de insumo. Para el segundo experimento se tomaron los cuatro niveles de sombra (Inga laurina y Simaruba glauca), (Samanea saman y Tabebuia rosea), (Samanea saman e Inga laurina), (Tabebuia rosea y Simaruba glauca) y una parcela a pleno sol. Las variables evaluadas en los frutos de café fueron diámetro polar, diámetro ecuatorial y peso seco. Los frutos se secaron en el horno a 70 °C y posteriormente se utilizó el molino Foss Tecator Cyclotec para obtener una muestra fina. De la muestra molida de los frutos, en el laboratorio de suelo y Agua de la UNA se determinó las concentraciones de N, P, K, Ca y Mg. Se realizó una correlación entre el diámetro polar y diámetro ecuatorial de los frutos en ambos ensayos. Las curvas de crecimiento y peso se ajustaron a regresiones no lineales. El programa usado fue SAS vs 9.1. Los frutos de café con especies leguminosas y combinaciones de leguminosas y no leguminosas y la aplicación de fertilización OI y CM presentaron el mayor crecimiento, mayor peso seco y las más altas concentraciones de nutrientes. El mayor crecimiento de los frutos se da durante la formación, a los primeros 90 días y la mayor acumulación de nutrientes se da entre los 90 y 210 días. Los modelos utilizados para el ajuste de curvas fueron el No Lineal Exponencial y el modelo Probit normal.

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Leonard Carpenter Panama Canal Collection. Photographs: Dredging, Soldiers, and Ships. [Box 1] from the Special Collections & Area Studies Department, George A. Smathers Libraries, University of Florida.

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Leonard Carpenter Panama Canal Collection. Photographs: Dredging, Soldiers, and Ships. [Box 1] from the Special Collections & Area Studies Department, George A. Smathers Libraries, University of Florida.

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Leonard Carpenter Panama Canal Collection. Photographs: Dredging, Soldiers, and Ships. [Box 1] from the Special Collections & Area Studies Department, George A. Smathers Libraries, University of Florida.

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Leonard Carpenter Panama Canal Collection. Photographs: Dredging, Soldiers, and Ships. [Box 1] from the Special Collections & Area Studies Department, George A. Smathers Libraries, University of Florida.

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Leonard Carpenter Panama Canal Collection. Photographs: Dredging, Soldiers, and Ships. [Box 1] from the Special Collections & Area Studies Department, George A. Smathers Libraries, University of Florida.

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Leonard Carpenter Panama Canal Collection. Photographs: Dredging, Soldiers, and Ships. [Box 1] from the Special Collections & Area Studies Department, George A. Smathers Libraries, University of Florida.

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Leonard Carpenter Panama Canal Collection. Photographs: Dredging, Soldiers, and Ships. [Box 1] from the Special Collections & Area Studies Department, George A. Smathers Libraries, University of Florida.

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Parte 1 - Atos do Poder Legislativo

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La tesis se ha centrado en la síntesis y caracterización estructural de materiales tipo perovskita: SrLnMRuO6 (Ln=La,Pr,Nd; M=Zn,Co,Mg,Ni,Fe) y ALn2CuTi2O9 (A=Ca,Ba; Ln=La,Pr,Nd,Sm). El estudio de las estructuras de los materiales se ha realizado mediante el análisis de los patrones de difracción en polvo de rayos-X, sincrotrón y/o neutrones. En el refinamiento por el método de Rietveld de las estructuras se han sustituido las coordenadas atómicas (el método más común), por coordenadas colectivas: las amplitudes de los modos que describen la distorsión de la fase prototipo. Los resultados generales para la serie SrLnMRuO6 (Ln=La,Pr,Nd; M=Zn,Co,Mg,Ni) a temperatura ambiente se ha recogido en un diagrama en el que se han indicado las amplitudes de los modos que transforman de acuerdo a las irreps en función del factor de tolerancia, ya que todos ellos cristalizan en la misma fase monoclínica (P21/n); y a temperaturas altas se ha construido un diagrama de fase. Los materiales SrLnFeRuO6 ( Ln=La,Pr,Nd) y CaLn2CuTi2O9 cristalizan en la fase ortorrómbica Pbnm a temperatura ambiente; mientras que BaLn2CuTi2O9 tienen una estructura más simétrica, I4/mcm. A altas temperaturas se han identificado las transiciones de fase inducidas por el cambio de temperatura.A temperaturas bajas se han analizado las estructuras magnéticas de algunos de los compuestos mediante difracción de neutrones.

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Lan honen helburua La1-x Cax MnO3 [x ~ 0.2] (perovskiten familiakoa) laginaren azterketan oinarritzen da. "High resolution dielectric analyzer" tresnari esker permitibitate dielektrikoa neurtuko da eta honen bitartez erresistentzia eta eroankortasun elektrikoa. Azterketa hau [10-2, 107] Hz maiztasun-tarte batean eta tenperatura desberdinetan (150K, 170K, 190K, 210K, 230K, 300K) burutuko da, ondoren materialak magnitude hauen bariazioekiko duen erantzuna aztertuz.

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A novel Ca^(2+)-binding protein with Mr of 23 K (designated p23) has been identified in avian erythrocytes and thrombocytes. p23 localizes to the marginal bands (MBs), centrosomes and discrete sites around the nuclear membrane in mature avian erythrocytes. p23 appears to bind Ca^(2+) directly and its interaction with subcellular organelles seems to be modulated by intracellular [Ca^(2+)]. However, its unique protein sequence lacks any known Ca^(2+)-binding motif. Developmental analysis reveals that p23 association to its target structures occurs only at very late stages of bone marrow definitive erythropoeisis. In primitive erythroid cells, p23 distributes diffusely in the cytoplasm and lacks any distinct localization. It is postulated that p23 association to subcellular structures may be induced in part by decreased intracellular [Ca^(2+)]. In vitro and in vivo experiments indicate that p23 does not appear to act as a classical microtubule-associated protein (MAP) but p23 homologues appear to be expressed in MB-containing cells of a variety of species from different vertebrate classes. It has been hypothesized that p23 may play a regulatory role in MB stabilization in a Ca^(2+)-dependent manner.

Binucleated (bnbn) turkey erythrocytes were found to express a truncated p23 variant (designated p21) with identical subcellular localization as p23 except immunostaining reveals the presence of multi-centrosomes in bnbn cells. The p21 sequence has a 62 amino acid deletion at the C-terminus and must therefore have an additional ~40 amino acids at the N-terminus. In addition, p21 seems to have lost the ability to bind Ca^(2+) and its supramolecular interactions are not modulated by intracellular [Ca^(2+)]. These apparent differences between p23 and p21 raised the possibility that the p23/p21 allelism could be the Bn/bn genotype. However, genetic analysis suggested that p23/p21 allelism had no absolute correlation with the Bn/bn genotype.

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It is often difficult to define ‘water quality’ with any degree of precision. One approach is that suggested by Battarbee (1997) and is based on the extent to which individual lakes have changed compared with their natural ‘baseline’ status. Defining the base-line status of artificial lakes and reservoirs however, is, very difficult. In ecological terms, the definition of quality must include some consideration of their functional characteristics and the extent to which these characteristics are self-sustaining. The challenge of managing lakes in a sustainable way is particularly acute in semi-arid, Mediterranean countries. Here the quality of the water is strongly influenced by the unpredictability of the rainfall as well as year-to-year variations in the seasonal averages. Wise management requires profound knowledge of how these systems function. Thus a holistic approach must be adopted and the factors influencing the seasonal dynamics of the lakes quantified over a range of spatial and temporal scales. In this article, the authors describe some of the ways in which both long-term and short-term changes in the weather have influenced the seasonal and spatial dynamics of phytoplankton in El Gergal, a water supply reservoir situated in the south of Spain. The quality of the water stored in this reservoir is typically very good but surface blooms of algae commonly appear during warm, calm periods when the water level is low. El Gergal reservoir is managed by the Empresa Municipal de Abastecimiento y Saneamiento (EMASESA) and supplies water for domestic, commercial and industrial use to an area which includes the city of Seville and twelve of its surrounding towns (ca. 1.3 million inhabitants). El Gergal is the last of two reservoirs in a chain of four situated in the Rivera de Huelva basin, a tributary of the Guadalquivir river. It was commissioned by EMASESA in 1979 and since then the company has monitored its main limnological parameters on, at least, a monthly basis and used this information to improve the management of the reservoir. As a consequence of these intensive studies the physical, chemical and biological information acquired during this period makes the El Gergal database one of the most complete in Spain. In this article the authors focus on three ‘weather-related’ effects that have had a significant impact on the composition and distribution of phytoplankton in El Gergal: (i) the changes associated with severe droughts; (ii) the spatial variations produced by short-term changes in the weather; (iii) the impact of water transfers on the seasonal dynamics of the dinoflagellate Ceratium.