889 resultados para Agricultural production indicators
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The objective of this study was to evaluate the use of biofertilisers for the production of alfalfa shoot, root and nodule dry matter, and also, to evaluate the chemical properties of the soil. This study was conducted in the greenhouse of the Support Department, Animal Production and Health, Faculty of Veterinary Medicine/UNESP, Aracatuba - SP, from May to October 2010. The experimental design was completely randomised with six biofertiliser doses (0, 25, 50, 100, 200 and 400 m(3) ha(-1)) and five replicates. The biofertiliser doses were the primary treatments and the cuts (five) were subplots. The cuts were performed, on average, every 27 days at 10 cm above the soil. At the end of the experiment, the roots, nodules and soil from all experimental units were collected for chemical analysis. We observed a linear increase in dry matter production of the shoots relative to the doses studied. The dry matter production of the roots and nodules was not significantly different. The chemical properties of the soil significantly improved for calcium and magnesium as well as the sum of bases and base saturation with biofertiliser application. Biofertilisers can be used for agricultural production and favourably alter the soil characteristics.
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Pós-graduação em Geografia - FCT
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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One of the greatest challenges for the agricultural system is to establish agricultural production combined with the conservation of genetic resources, mainly aiming to protect the Permanent Preservation Areas. In this context, mulungu ( Erythrina velutina Willd), among other native species, has been suffering with anthropogenic pressures in various ecosystems, causing reductions in its genetic basis. This work aims to identify ecological and genetic population parameters as indicators of sustainability in two natural populations of mulungu, located in riparian forest, in the state of Sergipe, and to assess the tendency to their sustainability, aiming genetic conservation of the species. The matrix of Pressure-State-Impact/Effect-Response (PEI/ER) was used with the selection of 13 indicators, from the use of RAPDmolecular markers and biochemical (enzymes) markers in populations, in order to present them as relevant information to measure progress as for sustainability and conservation ofmulungu. The studied populations presented low tendency to sustainability, requiring strategies to change this status.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Pós-graduação em Agronomia (Ciência do Solo) - FCAV
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The presented study carried out an analysis on rural landscape changes. In particular the study focuses on the understanding of driving forces acting on the rural built environment using a statistical spatial model implemented through GIS techniques. It is well known that the study of landscape changes is essential for a conscious decision making in land planning. From a bibliography review results a general lack of studies dealing with the modeling of rural built environment and hence a theoretical modelling approach for such purpose is needed. The advancement in technology and modernity in building construction and agriculture have gradually changed the rural built environment. In addition, the phenomenon of urbanization of a determined the construction of new volumes that occurred beside abandoned or derelict rural buildings. Consequently there are two types of transformation dynamics affecting mainly the rural built environment that can be observed: the conversion of rural buildings and the increasing of building numbers. It is the specific aim of the presented study to propose a methodology for the development of a spatial model that allows the identification of driving forces that acted on the behaviours of the building allocation. In fact one of the most concerning dynamic nowadays is related to an irrational expansion of buildings sprawl across landscape. The proposed methodology is composed by some conceptual steps that cover different aspects related to the development of a spatial model: the selection of a response variable that better describe the phenomenon under study, the identification of possible driving forces, the sampling methodology concerning the collection of data, the most suitable algorithm to be adopted in relation to statistical theory and method used, the calibration process and evaluation of the model. A different combination of factors in various parts of the territory generated favourable or less favourable conditions for the building allocation and the existence of buildings represents the evidence of such optimum. Conversely the absence of buildings expresses a combination of agents which is not suitable for building allocation. Presence or absence of buildings can be adopted as indicators of such driving conditions, since they represent the expression of the action of driving forces in the land suitability sorting process. The existence of correlation between site selection and hypothetical driving forces, evaluated by means of modeling techniques, provides an evidence of which driving forces are involved in the allocation dynamic and an insight on their level of influence into the process. GIS software by means of spatial analysis tools allows to associate the concept of presence and absence with point futures generating a point process. Presence or absence of buildings at some site locations represent the expression of these driving factors interaction. In case of presences, points represent locations of real existing buildings, conversely absences represent locations were buildings are not existent and so they are generated by a stochastic mechanism. Possible driving forces are selected and the existence of a causal relationship with building allocations is assessed through a spatial model. The adoption of empirical statistical models provides a mechanism for the explanatory variable analysis and for the identification of key driving variables behind the site selection process for new building allocation. The model developed by following the methodology is applied to a case study to test the validity of the methodology. In particular the study area for the testing of the methodology is represented by the New District of Imola characterized by a prevailing agricultural production vocation and were transformation dynamic intensively occurred. The development of the model involved the identification of predictive variables (related to geomorphologic, socio-economic, structural and infrastructural systems of landscape) capable of representing the driving forces responsible for landscape changes.. The calibration of the model is carried out referring to spatial data regarding the periurban and rural area of the study area within the 1975-2005 time period by means of Generalised linear model. The resulting output from the model fit is continuous grid surface where cells assume values ranged from 0 to 1 of probability of building occurrences along the rural and periurban area of the study area. Hence the response variable assesses the changes in the rural built environment occurred in such time interval and is correlated to the selected explanatory variables by means of a generalized linear model using logistic regression. Comparing the probability map obtained from the model to the actual rural building distribution in 2005, the interpretation capability of the model can be evaluated. The proposed model can be also applied to the interpretation of trends which occurred in other study areas, and also referring to different time intervals, depending on the availability of data. The use of suitable data in terms of time, information, and spatial resolution and the costs related to data acquisition, pre-processing, and survey are among the most critical aspects of model implementation. Future in-depth studies can focus on using the proposed model to predict short/medium-range future scenarios for the rural built environment distribution in the study area. In order to predict future scenarios it is necessary to assume that the driving forces do not change and that their levels of influence within the model are not far from those assessed for the time interval used for the calibration.
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Food Security has become an important issue in the international debate, particularly during the latest economic crisis. It relevant issue also for the Mediterranean Countries (MCs), particularly those of the southern shore, as they are is facing complex economic and social changes. On the one hand there is the necessity to satisfy the increasing and changing food demand of the growing population; on the other hand it is important to promote economic growth and adjust the agricultural production to food demand in a sustainable perspective. The assessment of food security conditions is a challenging task due to the multi-dimensional nature and complexity of the matter. Many papers in the scientific literature focus on the nutritional aspects of food security, while its economic issues have been addressed less frequently and only in recent times. Thus, the main objective of the research is to assess food (in)security conditions in the MCs. The study intends to identify and implement appropriate theoretical concepts and methodological tools to be used in the assessment of food security, with a particular emphasis on its economic dimension within MCs. The study follows a composite methodological approach, based on the identification and selection of a number of relevant variables, a refined set of indicators is identified by means of a two-step Principal Component Analysis applied to 90 countries and the PCA findings have been studied with particular attention to the MCs food security situation. The results of the study show that MCs have an higher economic development compared to low-income countries, however the economic and social disparities of this area show vulnerability to food (in)security, due to: dependency on food imports, lack of infrastructure and agriculture investment, climate condition and political stability and inefficiency. In conclusion, the main policy implications of food (in)security conditions in MCs are discussed.
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There is a lively debate on whether biodiversity conservation and agricultural production could be better reconciled by land sparing (strictly separating production fields and conservation areas) or by land sharing (combining both, agricultural production and biodiversity conservation on the same land). The debate originates from tropical countries, where agricultural land use continues to increase at the expense of natural ecosystems. But is it also relevant for Europe, where agriculture is withdrawing from marginal regions whilst farming of fertile lands continues to be intensified? Based on recent research on farmland biodiversity we conclude that the land sharing – land sparing dichotomy is too simplistic for Europe. Instead we differentiate between productive and marginal farmland. On productive farmland, semi-natural habitats are required to yield ecosystem services relevant for agriculture, to promote endangered farmland species which society wants to conserve even in intensively farmed regions, and to allow migration of non-farmland species through the agricultural matrix. On marginal farmland, high-nature value farming is a traditional way of land sharing, yielding high quality agricultural products and conserving specialized species. To conserve highly disturbance-sensitive species, there is a need for nature reserves. In conclusion, land sparing is not a viable olution for Europe in both productive and marginal farmland but because of different reasons in each type of farmland.
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El estado de situación del agro pampeano desde la implantación del modelo económico neoliberal en la década del '70 hasta nuestros días, plantea el desafío de repensar las categorías de análisis que nos permitan abordar el estudio de la vulnerabilidad socio-territorial de los actores sociales implicados en el agro. Los supuestos neoliberales que han conducido el modelo de producción agropecuario de acumulación y rápida rotación de capital, especulación financiera, externalización de costos sociales y ambientales, entre otros generan situaciones de profundas desigualdades socio-territoriales, que incrementan los grados de vulnerabilidad. Resulta ineludible entonces teorizar sobre indicadores que, bajo otros supuestos, nos permitan valorar los niveles de vulnerabilidad para proponer alternativas que respondan al principio de justicia socio-territorial. Para la consecución de dicho objetivo, se parte de un análisis del estado de situación del agro en el sur cordobés; se analizan luego los supuestos neoliberales que han orientado la producción agropecuaria, para pensar caminos alternativos al modelo de capitalismo agrario, a fin de realizar nuestro aporte a la discusión sobre la construcción de indicadores de vulnerabilidad socio-territorial.
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El fenómeno de agriculturización que ha tenido lugar en nuestro país durante los últimos años no ha impactado solamente en la región de la República Argentina tradicionalmente agrícola. También lo ha hecho, aunque de una manera diferente, en la Provincia de San Luis. En esta provincia, dicho fenómeno convive con otras particularidades, como es la radicación industrial promocionada, que marcó profundamente el aparato productivo provincial o, más recientemente, una política pública de amplio espectro como el Plan de Inclusión Social, que modificó drásticamente los indicadores del mercado laboral sanluiseño. Este trabajo tiene por objeto estudiar la situación laboral de dos localidades de la Provincia de San Luis emplazadas en zonas de importante producción agrícola, considerando la influencia de las políticas públicas locales y del sector industrial que aún mantiene una importante cuota del Producto Bruto Geográfico. Para esto se realiza un análisis comparativo entre ellas y con la situación provincial, caracterizada por el Aglomerado San Luis y El Chorrillo, que releva la Encuesta Permanente de Hogares del indec. La información utilizada proviene de datos secundarios procedentes de organismos nacionales y de relevamientos propios realizados en las localidades estudiadas
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This research aims to diachronically analyze the worldwide scientific production on open access, in the academic and scientific context, in order to contribute to knowledge and visualization of its main actors. As a method, bibliographical, descriptive and analytical research was used, with the contribution of bibliometric studies, especially the production indicators, scientific collaboration and indicators of thematic co-occurrence. The Scopus database was used as a source to retrieve the articles on the subject, with a resulting corpus of 1179 articles. Using Bibexcel software, frequency tables were constructed for the variables, and Pajek software was used to visualize the collaboration network and VoSViewer for the construction of the keywords' network. As for the results, the most productive researchers come from countries such as the United States, Canada, France and Spain. Journals with higher impact in the academic community have disseminated the new constructed knowledge. A collaborative network with a few subnets where co-authors are from different countries has been observed. As conclusions, this study allows identifying the themes of debates that mark the development of open access at the international level, and it is possible to state that open access is one of the new emerging and frontier fields of library and information science
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El consumo de productos orgánicos viene creciendo en todo el mundo y la leche orgánica no es la excepción. En Puno, por sus características geográficas, culturales e históricas, la producción agropecuaria aún mantiene tecnologías de producción ancestrales, buscando el equilibrio con el medio ambiente, con un uso mínimo de fertilizantes y pesticidas, con lo que se muestra un enfoque en la sostenibilidad y una tendencia a producir orgánicamente. El objetivo de este trabajo fue determinar mediante una simulación la viabilidad económica y el riesgo de producir leche orgánica como una alternativa de desarrollo sostenible. Se consideró la producción por encima de los 3.000 metros de altura, área de 6,5 has, una vaca (criolla) por hectárea produciendo 10 litros de leche/día. Los indicadores económicos resultaron positivos: el VAN fue S/. 2.916,38, TIR 24, VAE S/. 866,33, ratio B/C S/. 1,48 (se aclaro en la metodología) y el período de recuperación de la inversión resultó de 5,88 años, evidenciando que la producción de leche orgánica es económicamente viable pero con riesgo elevado: la simulación de Monte Carlo mostró que existe 71,43 de probabilidad de no resultar viable
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El estado de situación del agro pampeano desde la implantación del modelo económico neoliberal en la década del '70 hasta nuestros días, plantea el desafío de repensar las categorías de análisis que nos permitan abordar el estudio de la vulnerabilidad socio-territorial de los actores sociales implicados en el agro. Los supuestos neoliberales que han conducido el modelo de producción agropecuario de acumulación y rápida rotación de capital, especulación financiera, externalización de costos sociales y ambientales, entre otros generan situaciones de profundas desigualdades socio-territoriales, que incrementan los grados de vulnerabilidad. Resulta ineludible entonces teorizar sobre indicadores que, bajo otros supuestos, nos permitan valorar los niveles de vulnerabilidad para proponer alternativas que respondan al principio de justicia socio-territorial. Para la consecución de dicho objetivo, se parte de un análisis del estado de situación del agro en el sur cordobés; se analizan luego los supuestos neoliberales que han orientado la producción agropecuaria, para pensar caminos alternativos al modelo de capitalismo agrario, a fin de realizar nuestro aporte a la discusión sobre la construcción de indicadores de vulnerabilidad socio-territorial.