50 resultados para Water Use Efficiency


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Among the mitigation strategies to prevent nitrogen (N) losses from ureic fertilizers, urease inhibitors (UIs) have been demonstrated to promote high N use efficiency by reducing ammonia (NH3) volatilization. In the last few years, some field experiments have also shown its effectiveness in reducing nitrous oxide (N2O) losses from fertilized soils under conditions of low soil moisture. An incubation experiment was carried out with the aim of assessing the main biotic mechanisms behind N2O emissions once that the UIs N-(n-butyl) thiophosphoric triamid (NBPT) and phenil phosphorodiamidate (PPDA) were applied with Urea (U) under different soil moisture conditions (40, 60 and 80 % water-filled pore space, WFPS). In the same study we tried to analyze to what extent soil WFPS regulates the effect of these inhibitors on N2O emissions. The use of PPDA in our study allowed us to compare the effect of NBPT with that of another commercially available urease inhibitor, aiming to see if the results were inhibitor-specific or not. Based on the results from this experiment, a WFPS (i.e. 60 %) was chosen for a second study (i.e. mesocosm experiment) aiming to assess the efficiency of the UIs to indirectly affect N2O emissions through influencing the pool of soil mineral N. The N2O emissions at 40 % WFPS were almost negligible, being significantly lower from all fertilized treatments than that produced at 60 and 80 % WFPS. When compared to U alone, NBPT+U reduced the N2O emissions at 60 % WFPS but had no effect at 80 % WFPS. The application of PPDA significantly increased the emissions with respect to U at 80 % WFPS whereas no significant effect was found at 60 %. At 80 % WFPS, denitrification was the main source of N2O emissions for all treatments. In the mesocosm study, the application of NBPT+U was an effective strategy to reduce N2O emissions (75 % reduction compared to U alone), due to a lower soil ammonium (NH4 +) content induced by the inhibitor. These results suggest that adequate management of the UI NBPT could provide, under certain soil conditions, an opportunity for mitigation of N2O emissions from fertilized soils.

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En regiones semiáridas, con veranos cálidos, evapotranspiraciones elevadas, humedades relativas bajas, además de precipitaciones intermitentes y escasas (400 mm al año) que reducen la recarga del perfil en invierno, se puede ver afectada la productividad y sostenibilidad de los viñedos. Por eso en estas zonas puede ser necesario utilizar el riego suplementario para mantener la calidad y aumentar la productividad. En este marco de circunstancias es en el que se desarrolla la mayoría de la viticultura española, y en concreto en la zona centro donde se realizó el estudio. Con este trabajo se pretende estudiar la influencia del agua del riego, con distintas dosis y aplicada en diferentes fases de crecimiento y maduración de la baya, en la producción y calidad de la uva. Se estudió la influencia del déficit moderado continuo aplicado antes y después de envero, en el aprovechamiento de los recursos ambientales y en la respuesta del cv. Cabernet Sauvignon. El ensayo se desarrolló en 2010 y 2011 en la finca “La Alcoholera”, perteneciente a bodegas LICINIA S.L., ubicada en la localidad de Chinchón, Comunidad de Madrid, España. Durante 2010 y 2011 se realizaron estudios en cepas del cv. Cabernet Sauvignon (clon 15), injertadas sobre 41B y plantadas en 2005. Con poda corta en Cordón Royat unilateral de 80 cm de altura, y cuya vegetación alcanzó una altura de 97 cm. Las cepas del ensayo fueron conducidas verticalmente en espaldera (VSP), con 10 yemas por metro lineal. Las plantas dentro de la fila fueron separadas 1 m y la distancia de la calle fue de 3 m. La orientación de las filas norte – sur. Se plantearon cuatro tratamientos experimentales con diferentes dosis y momento de aplicación del riego. - T: Testigo. Déficit ligero, con un aporte continuado de agua desde floración (420 mm). - DMc: Déficit moderado continuo. Manejo del riego convencional, empezando en pre-envero (154 mm) - DM1: Déficit moderado a partir de pre-envero. Aporte de riego continuado desde floración reduciéndose la dosis de riego en pre-envero (312 mm). - DM2: Déficit moderado hasta pre-envero. Se empezó a regar a partir de preenvero (230 mm). Se observó que bajo condiciones de estrés hídrico leve, el crecimiento se reduce disminuyendo la migración de fotoasimilados hacia los órganos vegetativos. Generando menor área foliar en las plantas sometidas a déficit hídrico moderado entre floración y cuajado. Disminuyendo su consumo. En maduración la humedad del suelo dependió principalmente del riego aplicado y del consumo de la planta; dicho consumo dependió a la vez del desarrollo foliar del canopy y de la necesidad hídrica de la vid. El aumento del déficit hídrico disminuyó el contenido de agua en el suelo, lo que provocó diferencias en el estado hídrico y en el intercambio gaseoso de las hojas. En condiciones de déficit moderado, la fotosíntesis se encontró altamente correlacionada con el potencial hídrico foliar medido a mediodía solar. Además en condiciones de déficit moderado continuo la disponibilidad hídrica, la demanda atmosférica y el nivel de hidratación de las hojas, interaccionaron de forma compleja en la regulación estomática de las hojas, condicionando el intercambio gaseoso y la eficiencia en el uso del agua. Al aumentar el volumen de agua aplicado el peso de madera de poda por metro de fila fue superior. Las diferencias encontradas en el rendimiento fueron debidas a las diferencias en el peso de baya. El cual estuvo condicionado por la estrategia de riego, ya que, el déficit hídrico moderado antes de envero fue más crítico para el rendimiento que el déficit impuesto durante la madurez. Por otro lado, la biomasa dependió de la actividad fisiológica de la planta, la cual fue altamente dependiente de la disponibilidad hídrica. Déficit hídrico moderado aplicado de cuajado a envero, generó bayas más pequeñas y aumentó la relación hollejo:pulpa. El déficit moderado aplicado después de envero favoreció la acumulación de IPT y antocianos extraíbles, mejorando la calidad de la uva, pero disminuyó la acidez de la baya. El riego aplicado de envero a vendimia desaceleró la concentración de azúcares en bayas que fueron sometidas a déficit antes de pre-envero. ABSTRACT Mediterranean climate is characterized by hot summers, high evapotranspiration rates, and scarce precipitations (400 mm per year) during grapevine cycle. These extremely dry conditions affect vineyard productivity and sustainability. Supplementary irrigation is needed practice in order to maintain yield and quality. Almost all Spanish grape growing regions are characterized by these conditions, especially in the center region, where this trial was performed. The main objective of this work is to study the influence of water irrigation on yield and quality. For this aim, different levels of irrigation (mm of water applied) were applied during different stages of growth and berry maturity of Caberent Sauvignon grapevines. The work was conducted from 2010 to 2011 and located in Licinia (40º 12´ N, 3º 28´ W), Madrid, Spain. The cultivar utilized was Cabernet Sauvignon, clone 15 grafted onto rootstock 41B, planted in 2005. The vineyard was oriented north-south, with spacing on 3 meters between rows and 1 meter between plants. Vines were spurpruned to 10 buds per meter and trained in unilateral cordon with a height of 80 cm. Shoots were positioned vertically (VSP). Considering the amount of water and the moment of the application, four experimental treatments were applied: - T: Control sample. Slight deficit (420 mm) applied from bloom to maturity. - DMc: Continuous moderate deficit. Traditional irrigation: application of 154 mm of water from pre-veraison to maturity. - DM1: Deficit moderate from pre-veraison. Irrigation of 312 mm of water from bloom to pre-veraison. - DM2: Deficit moderate to pre-veraison. Irrigation of 230 mm of water from preveraison to maturity Under moderated water stress conditions it was seen than leaf growth decreases due to the reduction of migration of photo-assimilates to vegetative organs. Vines with moderate water deficit between flowering and ripening develop less leaf area and decrease its water consumption. During maturation of berries, soil moisture depends on irrigation and plant consumption. This consumption further depends on vegetation development and on the vine needs for water. By increasing water deficit, the water content in the soil decreases. This causes differences in leaf water status and in the gases exchange. Under moderate deficit conditions, photosynthesis was found highly correlated with midday leaf water potential. Further, atmospheric demand and the level of leaves hydration interact in complex ways in the stomatal regulation, which affects leaf gas exchange and the efficiency of water use. The amount of water applied is directly proportional to pruning weight. Changes in berry weight cause differences in yield ratios. The differences in berry weights are conditioned by the irrigation strategy, the moderate water deficit before veraison influences more than the deficit applied from veraison. Biomass generated for the plant depends on its physiological activity, which is highly related to the water availability. Moderate water deficit applied from fruit set to ripening generates smaller berries, increasing the pulp/skin ratio. Moderate deficit applied after veraison promotes the accumulation of extractables anthocyans and TPI. Despite this treatment improves color parameters of the grapes, it decreases its total acidity. Irrigation applied from veraison to harvest slows down sugar accumulation in berries compared to those under deficit before veraison conditions.

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Esta Tesis realiza una contribución metodológica al estudio del impacto del cambio climático sobre los usos del agua, centrándose particularmente en la agricultura. Tomando en consideración su naturaleza distinta, la metodología aborda de forma integral los impactos sobre la agricultura de secano y la agricultura de regadío. Para ello incorpora diferentes modelos agrícolas y de agua que conjuntamente con las simulaciones de los escenarios climáticos permiten determinar indicadores de impacto basados en la productividad de los cultivos, para el caso de la agricultura de secano, e indicadores de impacto basados en la disponibilidad de agua para irrigación, para el caso de la agricultura de regadío. La metodología toma en consideración el efecto de la variabilidad climática en la agricultura, evaluando las necesidades de adaptación y gestión asociadas a los impactos medios y a la variabilidad en la productividad de los cultivos y el efecto de la variabilidad hidrológica en la disponibilidad de agua para regadío. Considerando la gran cantidad de información proporcionada por las salidas de las simulaciones de los escenarios climáticos y su complejidad para procesarla, se ha desarrollado una herramienta de cálculo automatizada que integra diferentes escenarios climáticos, métodos y modelos que permiten abordar el impacto del cambio climático sobre la agricultura, a escala de grandes extensiones. El procedimiento metodológico parte del análisis de los escenarios climáticos en situación actual (1961-1990) y futura (2071-2100) para determinar su fiabilidad y conocer qué dicen exactamente las proyecciones climáticas a cerca de los impactos esperados en las principales variables que intervienen en el ciclo hidrológico. El análisis hidrológico se desarrolla en los ámbitos territoriales de la planificación hidrológica en España, considerando la disponibilidad de información para validar los resultados en escenario de control. Se utilizan como datos observados las series de escorrentía en régimen natural estimadas el modelo hidrológico SIMPA que está calibrado en la totalidad del territorio español. Al trabajar a escala de grandes extensiones, la limitada disponibilidad de datos o la falta de modelos hidrológicos correctamente calibrados para obtener los valores de escorrentía, muchas veces dificulta el proceso de evaluación, por tanto, en este estudio se plantea una metodología que compara diferentes métodos de interpolación y alternativas para generar series anuales de escorrentía que minimicen el sesgo con respecto a los valores observados. Así, en base a la alternativa que genera los mejores resultados, se obtienen series mensuales corregidas a partir de las simulaciones de los modelos climáticos regionales (MCR). Se comparan cuatro métodos de interpolación para obtener los valores de las variables a escala de cuenca hidrográfica, haciendo énfasis en la capacidad de cada método para reproducir los valores observados. Las alternativas utilizadas consideran la utilización de la escorrentía directa simulada por los MCR y la escorrentía media anual calculada utilizando cinco fórmulas climatológicas basadas en el índice de aridez. Los resultados se comparan además con la escorrentía global de referencia proporcionada por la UNH/GRDC que en la actualidad es el “mejor estimador” de la escorrentía actual a gran escala. El impacto del cambio climático en la agricultura de secano se evalúa considerando el efecto combinado de los riesgos asociados a las anomalías dadas por los cambios en la media y la variabilidad de la productividad de los cultivos en las regiones agroclimáticas de Europa. Este procedimiento facilita la determinación de las necesidades de adaptación y la identificación de los impactos regionales que deben ser abordados con mayor urgencia en función de los riesgos y oportunidades identificadas. Para ello se utilizan funciones regionales de productividad que han sido desarrolladas y calibradas en estudios previos en el ámbito europeo. Para el caso de la agricultura de regadío, se utiliza la disponibilidad de agua para irrigación como un indicador del impacto bajo escenarios de cambio climático. Considerando que la mayoría de estudios se han centrado en evaluar la disponibilidad de agua en régimen natural, en este trabajo se incorpora el efecto de las infraestructuras hidráulicas al momento de calcular el recurso disponible bajo escenarios de cambio climático Este análisis se desarrolla en el ámbito español considerando la disponibilidad de información, tanto de las aportaciones como de los modelos de explotación de los sistemas hidráulicos. Para ello se utiliza el modelo de gestión de recursos hídricos WAAPA (Water Availability and Adaptation Policy Assessment) que permite calcular la máxima demanda que puede atenderse bajo determinados criterios de garantía. Se utiliza las series mensuales de escorrentía observadas y las series mensuales de escorrentía corregidas por la metodología previamente planteada con el objeto de evaluar la disponibilidad de agua en escenario de control. Se construyen proyecciones climáticas utilizando los cambios en los valores medios y la variabilidad de las aportaciones simuladas por los MCR y también utilizando una fórmula climatológica basada en el índice de aridez. Se evalúan las necesidades de gestión en términos de la satisfacción de las demandas de agua para irrigación a través de la comparación entre la disponibilidad de agua en situación actual y la disponibilidad de agua bajo escenarios de cambio climático. Finalmente, mediante el desarrollo de una herramienta de cálculo que facilita el manejo y automatización de una gran cantidad de información compleja obtenida de las simulaciones de los MCR se obtiene un proceso metodológico que evalúa de forma integral el impacto del cambio climático sobre la agricultura a escala de grandes extensiones, y a la vez permite determinar las necesidades de adaptación y gestión en función de las prioridades identificadas. ABSTRACT This thesis presents a methodological contribution for studying the impact of climate change on water use, focusing particularly on agriculture. Taking into account the different nature of the agriculture, this methodology addresses the impacts on rainfed and irrigated agriculture, integrating agricultural and water planning models with climate change simulations scenarios in order to determine impact indicators based on crop productivity and water availability for irrigation, respectively. The methodology incorporates the effect of climate variability on agriculture, assessing adaptation and management needs associated with mean impacts, variability in crop productivity and the effect of hydrologic variability on water availability for irrigation. Considering the vast amount of information provided by the outputs of the regional climate model (RCM) simulations and also its complexity for processing it, a tool has been developed to integrate different climate scenarios, methods and models to address the impact of climate change on agriculture at large scale. Firstly, a hydrological analysis of the climate change scenarios is performed under current (1961-1990) and future (2071-2100) situation in order to know exactly what the models projections say about the expected impact on the main variables involved in the hydrological cycle. Due to the availability of information for validating the results in current situation, the hydrological analysis is developed in the territorial areas of water planning in Spain, where the values of naturalized runoff have been estimated by the hydrological model SIMPA, which are used as observed data. By working in large-scale studies, the limited availability of data or lack of properly calibrated hydrological model makes difficult to obtain runoff time series. So as, a methodology is proposed to compare different interpolation methods and alternatives to generate annual times series that minimize the bias with respect to observed values. Thus, the best alternative is selected in order to obtain bias-corrected monthly time series from the RCM simulations. Four interpolation methods for downscaling runoff to the basin scale from different RCM are compared with emphasis on the ability of each method to reproduce the observed behavior of this variable. The alternatives consider the use of the direct runoff of the RCMs and the mean annual runoff calculated using five functional forms of the aridity index. The results are also compared with the global runoff reference provided by the UNH/GRDC dataset, as a contrast of the “best estimator” of current runoff on a large scale. Secondly, the impact of climate change on rainfed agriculture is assessed considering the combined effect of the risks associated with anomalies given by changes in the mean and variability of crop productivity in the agro-climatic regions of Europe. This procedure allows determining adaptation needs based on the regional impacts that must be addressed with greater urgency in light of the risks and opportunities identified. Statistical models of productivity response are used for this purpose which have been developed and calibrated in previous European study. Thirdly, the impact of climate change on irrigated agriculture is evaluated considering the water availability for irrigation as an indicator of the impact. Given that most studies have focused on assessing water availability in natural regime, the effect of regulation is incorporated in this approach. The analysis is developed in the Spanish territory considering the available information of the observed stream flows and the regulation system. The Water Availability and Adaptation Policy Assessment (WAAPA) model is used in this study, which allows obtaining the maximum demand that could be supplied under certain conditions (demand seasonal distribution, water supply system management, and reliability criteria) for different policy alternatives. The monthly bias corrected time series obtained by previous methodology are used in order to assess water availability in current situation. Climate change projections are constructed taking into account the variation in mean and coefficient of variation simulated by the RCM. The management needs are determined by the agricultural demands satisfaction through the comparison between water availability under current conditions and under climate change projections. Therefore, the methodology allows evaluating the impact of climate change on agriculture to large scale, using a tool that facilitates the process of a large amount of complex information provided by the RCM simulations, in order to determine the adaptation and management needs in accordance with the priorities of the indentified impacts.

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La aplicación de criterios de sostenibilidad ha de entenderse como el procedimiento esencial para la necesaria reconversión del sector de la construcción, que movilizando el 10% de la economía mundial, representa más de la tercera parte del consumo mundial de recursos, en torno al 30-40% del consumo energético y emisiones de gases de efecto invernadero, 30-40% de la generación de residuos y el 12% de todo el gasto en agua dulce del planeta. La presente investigación se enmarca en una estrategia general de promover la evaluación de la sostenibilidad en la edificación en el contexto español, dando un primer paso centrado en la evaluación del comportamiento ambiental. El hilo conductor de la investigación parte de la necesidad de establecer un marco teórico de sostenibilidad, que permita clarificar conceptos y definir criterios de valoración adecuados. Como siguiente paso, la investigación se dirige a la revisión del panorama internacional de normativa e instrumentos voluntarios, con el objetivo de clarificar el difuso panorama que caracteriza a la sostenibilidad en el sector de la edificación en la actualidad y enmarcar la investigación en un contexto de políticas y programaciones ya existentes. El objetivo principal reside en el planteamiento de una metodología de evaluación de los aspectos o impactos ambientales asociados al ciclo de vida de la edificación, aplicable al contexto español, como una de las tres dimensiones que constituyen los pilares básicos de la sostenibilidad. Los ámbitos de evaluación de los aspectos sociales y económicos, para los que no existe actualmente un grado de definición metodológico suficientemente congruente, son adicionalmente examinados, de cara a ofrecer una visión holística de la evaluación. Previo al desarrollo de la propuesta, se aborda, en primer lugar, la descripción de las características básicas y limitaciones de la metodología de Análisis de Ciclo de Vida (ACV), para posteriormente proceder a profundizar en el estado del arte de aplicación de ACV a la edificación, realizando una revisión crítica de los trabajos de investigación que han sido desarrollados en los últimos años. Esta revisión permite extraer conclusiones sobre su grado de coherencia con el futuro entorno normativo e identificar dos necesidades prioritarias de actuación: -La necesidad de armonización, dadas las fuertes inconsistencias metodológicas detectadas, que imposibilitan la comparación de los resultados obtenidos en los trabajos de evaluación. -La necesidad de simplificación, dada la complejidad inherente a la evaluación, de modo que, manteniendo el máximo rigor, sea viable su aplicación práctica en el contexto español. A raíz de la participación en los trabajos de desarrollo normativo a nivel europeo, se ha adquirido una visión crítica sobre las implicaciones metodológicas de la normativa en definición, que permite identificar la hoja de ruta que marcará el escenario europeo en los próximos años. La definición de la propuesta metodológica integra los principios generales de aplicación de ACV con el protocolo metodológico establecido en la norma europea, considerando adicionalmente las referencias normativas de las prácticas constructivas en el contexto español. En el planteamiento de la propuesta se han analizado las posibles simplificaciones aplicables, con el objetivo de hacer viable su implementación, centrando los esfuerzos en la sistematización del concepto de equivalente funcional, el establecimiento de recomendaciones sobre el tipo de datos en función de su disponibilidad y la revisión crítica de los modelos de cálculo de los impactos ambientales. Las implicaciones metodológicas de la propuesta se describen a través de una serie de casos de estudio, que ilustran su viabilidad y las características básicas de aplicación. Finalmente, se realiza un recorrido por los aspectos que han sido identificados como prioritarios en la conformación del escenario de perspectivas futuras, líneas de investigación y líneas de acción. Abstract Sustainability criteria application must be understood as the essential procedure for the necessary restructuring of the construction sector, which mobilizes 10% of the world economy, accounting for more than one third of the consumption of the world's resources, around 30 - 40% of energy consumption and emissions of greenhouse gases, 30-40% of waste generation and 12% of all the fresh water use in the world. This research is in line with an overall strategy to promote the sustainability assessment of building in the Spanish context, taking a first step focused on the environmental performance assessment. The thread of the present research sets out from the need to establish a theoretical framework of sustainability which clarifies concepts and defines appropriate endpoints. As a next step, the research focuses on the review of the international panorama regulations and voluntary instruments, with the aim of clarifying the fuzzy picture that characterizes sustainability in the building sector at present while framing the research in the context of existing policies and programming. The main objective lies in the approach of a methodology for the assessment of the environmental impacts associated with the life cycle of building, applicable to the Spanish context, as one of the three dimensions that constitute the pillars of sustainability. The areas of assessment of social and economic issues, for which there is currently a degree of methodological definition consistent enough, are further examined, in order to provide a holistic view of the assessment. The description of the basic features and limitations of the methodology of Life Cycle Assessment (LCA) are previously addressed, later proceeding to deepen the state of the art of LCA applied to the building sector, conducting a critical review of the research works that have been developed in recent years. This review allows to establish conclusions about the degree of consistency with the future regulatory environment and to identify two priority needs for action: - The need for harmonization, given the strong methodological inconsistencies detected that prevent the comparison of results obtained in assessment works. - The need for simplification, given the inherent complexity of the assessment, so that, while maintaining the utmost rigor, make the practical application feasible in the Spanish context. The participation in the work of policy development at European level has helped to achieve a critical view of the methodological implications of the rules under debate, identifying the roadmap that will mark the European scene in the coming years. The definition of the proposed methodology integrates the general principles of LCA methodology with the protocol established in the European standard, also considering the regulatory standards to construction practices in the Spanish context. In the proposed approach, possible simplifications applicable have been analyzed, in order to make its implementation possible, focusing efforts in systematizing the functional equivalent concept, establishing recommendations on the type of data based on their availability and critical review of the calculation models of environmental impacts. The methodological implications of the proposal are described through a series of case studies, which illustrate the feasibility and the basic characteristics of its application. Finally, the main aspects related to future prospects, research lines and lines of action that have been identified as priorities are outlined.

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La productividad es un factor importante que influye en la viabilidad económica de un cultivo energético de sauce y maximizarla se convierte en un tema primordial. Esta investigación está directamente relacionada con dicha característica. La productividad varía según los clones cultivados, que pueden ser mejorados y seleccionados genéticamente. Los programas genéticos requieren de una información previa (productividad media en función del porte y número de los tallos, características de las hojas, resistencia a las plagas, etc.) que ayudará a obtener clones más productivos y resistentes. Por ello, nuestra investigación consta de dos estudios: (1) Evaluación de la eficiencia del uso de la luz o LUE (Light Use Efficiency). El incremento de biomasa y la eficiencia del uso de la luz (LUE) fue estudiado en 15 clones del genero Salix durante los meses de junio a septiembre de 2011 en Belleville (Central New York, USA). Los objetivos de este estudio fueron: (1) Evaluar la eficiencia del uso de la luz en la explicación a la variación en la producción de biomasa y (2) Determinar si existen diferencias significativas entre clones evaluando el índice de área foliar (LAI) y algunos componentes de las hojas (N, P, K,…). Se concluye que la variación de biomasa está relacionada con la cantidad de luz interceptada y con la eficiencia de su uso. Dicha información debe de ser transferida para ayudar a mejorar genéticamente los futuros clones a comercializar, con el fin de maximizar la productividad y aumentar la resistencia a plagas. (2) Estimación de biomasa a través de modelos de regresión. Los estudios de investigación relacionados con la productividad requieren estimaciones no destructivas de la biomasa aérea. Sin embargo, el nivel de precisión requerido y la inversión de tiempo son excesivos para operaciones comerciales con grandes extensiones (plantaciones de 10.000 ha). Por esta razón, se estudia el nivel de especificidad (específico, intermedio y general) en la toma de datos de campo sobre los mismos 15 clones (12 de ellos se pueden agrupar en 5 grupos según su genotipo origen) del genero Salix, empleados en el estudio anterior. Para todos los niveles estudiados se observaron diferencias significativas. Pero desde nuestro punto de vista, las diferencias obtenidas no son relevantes. Para validar los modelos finalmente seleccionados se calcularon los porcentajes de error entre la biomasa estimada por los modelos de regresión calculados y la biomasa real obtenida tras los pesajes de biomasa, todo ello se realizó para cada clon según nivel de especificidad. ABSTRACT Productivity is an important factor in the economic viability of a willow crop´s, therefore, maximize it becomes a major factor. This study is directly related to this feature. Productivity, among other factors, may vary depending on different clones, which can be improved and selected genetically. Genetic programs require prior information (average productivity, size and number of stems, leaf characteristics, resistance to pests, etc.) to help you get more productive clones resistant to local pests. Our research consists of two studies: (1) Evaluation of the efficiency of use of light (LUE, Light Use Efficiency). The increase of biomass and light use efficiency (LUE) was tested on 15 clones of the genus Salix during June and September 2011 in Belleville (Central New York, USA). The objectives of this study were: (1) evaluate the light use efficiency and its relationship with the variation in biomass production and (2) determine whether there are significant differences between clones evaluating the leaf area index (LAI) and some traits of the leaves (N, P, K). We studied the correlation with the light use efficiency. It is concluded that the variation of biomass was related to the amount of light intercepted and its efficiency. Such information must be transferred to help improve future genetically clones to market in order to maximize productivity and increase resistance to pests. (2) Estimation of biomass through regression models. Research studies related to productivity estimates require precision and non destructive biomass. However, the level of accuracy required and the investment of time are excessive for large commercial operations with extensions (plantations of 10,000 ha). Precisely for this reason, we study the level of specificity (specific, intermediate and general) in making field data on the same 15 clones (12 of them can be grouped into five groups according to their genotype origin) of the genus Salix, employees in the previous study. For all levels studied some significant differences were observed. But from our practical standpoint, the differences are not relevant. Finally, to validate the selected models, we calculated the percent of bias between estimated biomass (by the regression models) and real biomass obtained after the weighing of biomass, all this process was done for each clone by level of specificity.

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The need to reduce nitrogen (N) fertilizer pollution strengthens the importance of improving the utilization efficiency of applied N to crops. This requires knowledge of crop N uptake characteristics and how fertilization management affects it. A three-year field experiment was conducted from May to September in central Spain to investigate the influence of different N rates, which ranged from 11 to 393 kg ha-1, applied through drip irrigation, on the dynamics of N uptake, nitrogen use efficiency (NUE), fruit yield and quality of a ?Piel de sapo? melon crop (Cucumis melo L. cv. Sancho). Both N concentration and N content increased in different plant parts with the N rate. Leaves had the highest N concentration, which declined by 40-50% from 34-41 days after transplanting (DAT), while the highest N uptake rate was observed from 30-35 to 70-80 DAT, coinciding with fruit development. In each year, NUE declined with increasing N rate. With N fertilizer applications close to the optimum N rate of 90-100 kg ha-1, the fruits removed approximately 60 kg N ha-1, and the amount of N in the crop residue was about 80 kg N ha-1; this serves to replenish the organic nutrient pool in the soil and may be used by subsequent crops following mineralization.

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The challenge to properly feed a world population of 9.2 billion by 2050, that must be achieved on essentially currently cropped area, requires that food production be increased by 70%. This large increase can only be achieved by combinations of greater crop yields and more intensive cropping adapted to local conditions and availability of inputs. Farming systems are dynamic and continuously adapt to changing ecological, environmental and social conditions, while achieving greater production and resource-use efficiency by application of science and technology. This article argues that the solution to feed and green the world in 2050 is to support this evolution more strongly by providing farmers with necessary information, inputs, and recognition. There is no revolutionary alternative. Proposals to transform agriculture to low-input and organic systems would, because of low productiv- ity, exacerbate the challenge if applied in small part, and ensure failure if applied more widely. The challenge is, however, great. Irrigation, necessary to increase cropping intensity in many areas cannot be extended much more widely than at present, and it is uncertain if the current rate of crop yield increase can be maintained. Society needs greater recognition of the food-supply problem and must increase funding and support for agricultural research while it attends to issues of food waste and over consumption that can make valuable reductions to food demand from agriculture

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Increasing nitrogen (N) use efficiency during crop production is paramount both from an economic and environmental perspective. A proposed measure to achieve it is to split the addition of fertilizers with more than on application. For a winter crop under Mediterranean climatic conditions, the most common application pattern consists of a basal fertilization (October-November) an a top-dressing (February-March).

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Sustaining irrigated agriculture to meet food production needs while maintaining aquatic ecosystems is at the heart of many policy debates in various parts of the world, especially in arid and semi-arid areas. Researchers and practitioners are increasingly calling for integrated approaches, and policy-makers are progressively supporting the inclusion of ecological and social aspects in water management programs. This paper contributes to this policy debate by providing an integrated economic-hydrologic modeling framework that captures the socio-economic and environmental effects of various policy initiatives and climate variability. This modeling integration includes a risk-based economic optimization model and a hydrologic water management simulation model that have been specified for the Middle Guadiana basin, a vulnerable drought-prone agro-ecological area with highly regulated river systems in southwest Spain. Namely, two key water policy interventions were investigated: the implementation of minimum environmental flows (supported by the European Water Framework Directive, EU WFD), and a reduction in the legal amount of water delivered for irrigation (planned measure included in the new Guadiana River Basin Management Plan, GRBMP, still under discussion). Results indicate that current patterns of excessive water use for irrigation in the basin may put environmental flow demands at risk, jeopardizing the WFD s goal of restoring the ?good ecological status? of water bodies by 2015. Conflicts between environmental and agricultural water uses will be stressed during prolonged dry episodes, and particularly in summer low-flow periods, when there is an important increase of crop irrigation water requirements. Securing minimum stream flows would entail a substantial reduction in irrigation water use for rice cultivation, which might affect the profitability and economic viability of small rice-growing farms located upstream in the river. The new GRBMP could contribute to balance competing water demands in the basin and to increase economic water productivity, but might not be sufficient to ensure the provision of environmental flows as required by the WFD. A thoroughly revision of the basin s water use concession system for irrigation seems to be needed in order to bring the GRBMP in line with the WFD objectives. Furthermore, the study illustrates that social, economic, institutional, and technological factors, in addition to bio-physical conditions, are important issues to be considered for designing and developing water management strategies. The research initiative presented in this paper demonstrates that hydro-economic models can explicitly integrate all these issues, constituting a valuable tool that could assist policy makers for implementing sustainable irrigation policies.

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There is a need for in-situ soil moisture conservation in arid and semi-arid regions due to insufficient rainfall for agriculture. For this purpose, a combination implement [integrated reservoir tillage system (RT)] comprised of a single-row chisel plow, single-row spike tooth harrow, modified seeder, and spiked roller was developed and compared to the popular tillage practices, viz., minimum tillage (MT) and conventional tillage (CT) in an arid Mediterranean environment in Egypt. The different tillage practices were conducted at tillage depths of 15, 20, and 25 cm and forward speeds of 0.69, 1, 1.25, and 1.53 m s-1. Some soil physical properties, runoff, soil loss, water harvesting efficiency and yield of wheat were evaluated. The different tillage practices caused significant differences in soil physical properties as the RT increased soil infiltration, producing a rate of 48% and 65% higher than that obtained in MT and CT, respectively. The lowest values of runoff and soil loss were recorded under RT as 4.91 mm and 0.65 t ha-1, whereas the highest values were recorded under CT as 11.36 mm and 1.66 t ha-1, respectively. In conclusion, the RT enhanced the infiltration rate, increased water harvesting efficiency, reduced runoff and achieved the highest yield of wheat. The best tillage operating parameters appeared to be at a tillage depth of 20 cm and speed between 1.00 and 1.25 m s-1.

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Nitrous oxide (N2O) is the main greenhouse gas (GHG) produced by agricultural soils due to microbial processes. The application of N fertilizers is associated with an increase of N2O losses. However, it is possible to mitigate these emissions by the introduction of adequate management practices (Snyder et al., 2009). Soil conservation practices (i.e.no tillage, NT) have recently become widespread because they promote several positive effects (increases in soil organic carbonand soil fertility, reduction of soil erosion, etc). In terms of GHG emissions, there is no consensus in the literature on the effects of tillage on N2O. Several studies found that NT can produce greater (Baggs et al., 2003), lower (Malhi et al., 2006) or similar (Grandey et al., 2006) N2O emissions compared to traditional tillage (TT). This large uncertainty is associated with the duration of tillage practices and climatic variability. Liming is widely use to solve problems of soil acidity (Al toxicity, yield penalties, etc). Several studies show a decrease in N2O emissions with liming (Barton et al., 2013) whereas no significant effects or increases were observed in others (Galbally et al., 2010). The aim of this work was to evaluate the effects of tillage (NT vs TT) and liming application or not of Ca-amendment) on N2O emissions from an acid soil during a rainfed crop.

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The DNDC (DeNitrification and DeComposition) model was first developed by Li et al. (1992) as a rain event-driven process-orientated simulation model for nitrous oxide, carbon dioxide and nitrogen gas emissions from the agricultural soils in the U.S. Over the last 20 years, the model has been modified and adapted by various research groups around the world to suit specific purposes and circumstances. The Global Research Alliance Modelling Platform (GRAMP) is a UK-led initiative for the establishment of a purposeful and credible web-based platform initially aimed at users of the DNDC model. With the aim of improving the predictions of soil C and N cycling in the context of climate change the objectives of GRAMP are to: 1) to document the existing versions of the DNDC model; 2) to create a family tree of the individual DNDC versions; 3) to provide information on model use and development; and 4) to identify strengths, weaknesses and potential improvements for the model.

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The micrometeorological mass-balance integrated horizontal flux (IHF) technique has been commonly employed for measuring ammonia (NH3) emissions inon-field experiments. However, the inverse-dispersion modeling technique, such as the backward Lagrangian stochastic (bLS) modeling approach, is currently highlighted as offering flexibility in plot design and requiring a minimum number of samplers (Ro et al., 2013). The objective of this study was to make a comparison between the bLS technique with the IHF technique for estimating NH3 emission from flexible bag storage and following landspreading of dairy cattle slurry. Moreover, considering that NH3 emission in storage could have been non uniform, the effect on bLS estimates of a single point and multiple downwind concentration measurements was tested, as proposed by Sanz et al. (2010).

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Accumulation of large volumes of dilute slurries is considered one of the major problems related to intensive farming (Sommer et al., 2004). In the EU-27, more than half of the total N excretion is applied to croplands due to technical advantages for farmers (e.g. reuse of nutrients). However, the N use efficiency of slurries produced by livestock is low, i.e. only 20-52% of the excreted N is recovered by crops. Much of the remainder can be lost into the atmosphere as ammonia (NH3), nitrous oxide (N2O), dinitrogen (N2) and nitrogen oxides (NOx).

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Adjusting N fertilizer application to crop requirements is a key issue to improve fertilizer efficiency, reducing unnecessary input costs to farmers and N environmental impact. Among the multiple soil and crop tests developed, optical sensors that detect crop N nutritional status may have a large potential to adjust N fertilizer recommendation (Samborski et al. 2009). Optical readings are rapid to take and non-destructive, they can be efficiently processed and combined to obtain indexes or indicators of crop status. However, other physiological stress conditions may interfere with the readings and detection of the best crop nutritional status indicators is not always and easy task. Comparison of different equipments and technologies might help to identify strengths and weakness of the application of optical sensors for N fertilizer recommendation. The aim of this study was to evaluate the potential of various ground-level optical sensors and narrow-band indices obtained from airborne hyperspectral images as tools for maize N fertilizer recommendations. Specific objectives were i) to determine which indices could detect differences in maize plants treated with different N fertilizer rates, and ii) to evaluate its ability to identify N-responsive from non-responsive sites.