61 resultados para Online mapping


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Peatlands are soil environments that store carbon and large amounts of water, due to their composition (90 % water), low hydraulic conductivity and a sponge-like behavior. It is estimated that peat bogs cover approximately 4.2 % of the Earth's surface and stock 28.4 % of the soil carbon of the planet. Approximately 612 000 ha of peatlands have been mapped in Brazil, but the peat bogs in the Serra do Espinhaço Meridional (SdEM) were not included. The objective of this study was to map the peat bogs of the northern part of the SdEM and estimate the organic matter pools and water volume they stock. The peat bogs were pre-identified and mapped by GIS and remote sensing techniques, using ArcGIS 9.3, ENVI 4.5 and GPS Track Maker Pro software and the maps validated in the field. Six peat bogs were mapped in detail (1:20,000 and 1:5,000) by transects spaced 100 m and each transect were determined every 20 m, the UTM (Universal Transverse Mercator) coordinates, depth and samples collected for characterization and determination of organic matter, according to the Brazilian System of Soil Classification. In the northern part of SdEM, 14,287.55 ha of peatlands were mapped, distributed over 1,180,109 ha, representing 1.2 % of the total area. These peatlands have an average volume of 170,021,845.00 m³ and stock 6,120,167 t (428.36 t ha-1) of organic matter and 142,138,262 m³ (9,948 m³ ha-1) of water. In the peat bogs of the Serra do Espinhaço Meridional, advanced stages of decomposing (sapric) organic matter predominate, followed by the intermediate stage (hemic). The vertical growth rate of the peatlands ranged between 0.04 and 0.43 mm year-1, while the carbon accumulation rate varied between 6.59 and 37.66 g m-2 year-1. The peat bogs of the SdEM contain the headwaters of important water bodies in the basins of the Jequitinhonha and San Francisco Rivers and store large amounts of organic carbon and water, which is the reason why the protection and preservation of these soil environments is such an urgent and increasing need.

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Soil properties have an enormous impact on economic and environmental aspects of agricultural production. Quantitative relationships between soil properties and the factors that influence their variability are the basis of digital soil mapping. The predictive models of soil properties evaluated in this work are statistical (multiple linear regression-MLR) and geostatistical (ordinary kriging and co-kriging). The study was conducted in the municipality of Bom Jardim, RJ, using a soil database with 208 sampling points. Predictive models were evaluated for sand, silt and clay fractions, pH in water and organic carbon at six depths according to the specifications of the consortium of digital soil mapping at the global level (GlobalSoilMap). Continuous covariates and categorical predictors were used and their contributions to the model assessed. Only the environmental covariates elevation, aspect, stream power index (SPI), soil wetness index (SWI), normalized difference vegetation index (NDVI), and b3/b2 band ratio were significantly correlated with soil properties. The predictive models had a mean coefficient of determination of 0.21. Best results were obtained with the geostatistical predictive models, where the highest coefficient of determination 0.43 was associated with sand properties between 60 to 100 cm deep. The use of a sparse data set of soil properties for digital mapping can explain only part of the spatial variation of these properties. The results may be related to the sampling density and the quantity and quality of the environmental covariates and predictive models used.

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ABSTRACT In recent years, geotechnologies as remote and proximal sensing and attributes derived from digital terrain elevation models indicated to be very useful for the description of soil variability. However, these information sources are rarely used together. Therefore, a methodology for assessing and specialize soil classes using the information obtained from remote/proximal sensing, GIS and technical knowledge has been applied and evaluated. Two areas of study, in the State of São Paulo, Brazil, totaling approximately 28.000 ha were used for this work. First, in an area (area 1), conventional pedological mapping was done and from the soil classes found patterns were obtained with the following information: a) spectral information (forms of features and absorption intensity of spectral curves with 350 wavelengths -2,500 nm) of soil samples collected at specific points in the area (according to each soil type); b) obtaining equations for determining chemical and physical properties of the soil from the relationship between the results obtained in the laboratory by the conventional method, the levels of chemical and physical attributes with the spectral data; c) supervised classification of Landsat TM 5 images, in order to detect changes in the size of the soil particles (soil texture); d) relationship between classes relief soils and attributes. Subsequently, the obtained patterns were applied in area 2 obtain pedological classification of soils, but in GIS (ArcGIS). Finally, we developed a conventional pedological mapping in area 2 to which was compared with a digital map, ie the one obtained only with pre certain standards. The proposed methodology had a 79 % accuracy in the first categorical level of Soil Classification System, 60 % accuracy in the second category level and became less useful in the categorical level 3 (37 % accuracy).

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Neste artigo analisamos as fases evidenciadas no desenvolvimento do Programa de Mentoria do Portal dos Professores da Universidade Federal de São Carlos (SP). O programa se caracteriza por ser online e é dirigido para professores dos anos iniciais do ensino fundamental com até cinco anos de experiência. Foi conduzido por três pesquisadoras e onze mentoras (professoras experientes) que acompanharam individualmente, a distância e por meio de correspondências eletrônicas, 56 professoras iniciantes durante períodos entre seis meses a dois anos e meio. Do ponto de vista teórico consideramos a literatura relativa à aprendizagem e desenvolvimento profissional da docência; início da carreira docente; processos de mentoria e educação a distância. Metodologicamente desenvolvemos uma pesquisa-ação a partir de estratégias construtivo-colaborativas. As principais fontes de dados foram as correspondências trocadas entre mentoras e professoras iniciantes; diários reflexivos de mentoras e professoras iniciantes; redação de casos de ensino pelas professoras iniciantes; registros de observação das reuniões semanais ocorridos entre pesquisadoras e mentoras. Os resultados apontam que os processos de mentoria investigados ocorrem segundo fases distintas (fase inicial ou de aproximação; fase de desenvolvimento ou aprofundamento; fase de desligamento) com características, objetivos e procedimentos próprios.

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O artigo descreve a elaboração do primeiro periódico científico, em mídia digital, da área de engenharia de produção a revista científica Produção Online, do Curso de Pós-graduação da Universidade Federal de Santa Catarina. Explicitam-se as ações desenvolvidas para sua manutenção, como instrumento de comunicação científica em suporte digital. Relata-se todo o processo de produção científica, desde o recebimento do artigo até sua publicação eletrônica. Chama-se a atenção para a proposta de oferecer à comunidade científica uma revista eletrônica, com baixos custos em relação à publicação em meio impresso, possibilitando a divulgação das pesquisas científicas em tempo real, e ao mesmo tempo oferecer mecanismos eletrônicos que agilizem o processo de submissão, avaliação e leitura dos artigos, facilitando a rápida circulação do conhecimento científico.

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The objective of this work was to select and use microsatellite markers, to map genomic regions associated with the genetic control of thermosensitive genic male sterility (TGMS) in rice. An F2 population, derived from the cross between fertile and TGMS indica lines, was used to construct a microsatellite-based genetic map of rice. The TGMS phenotype showed a continuous variation in the segregant population. A low level of segregation distortion was detected in the F2 (14.65%), whose cause was found to be zygotic selection. There was no evidence suggesting a cause-effect relationship between zygotic selection and the control of TGMS in this cross. A linkage map comprising 1,213.3 cM was constructed based on the segregation data of the F2 population. Ninety-five out of 116 microsatellite polymorphic markers were assembled into 11 linkage groups, with an average of 12.77 cM between two adjacent marker loci. The phenotypic and genotypic data allowed for the identification of three new quantitative trait loci (QTL) for thermosensitive genic male sterility in indica rice. Two of the QTL were mapped on chromosomes that, so far, have not been associated with the genetic control of the TGMS trait (chromosomes 1 and 12). The third QTL was mapped on chromosome 7, where a TGMS locus (tms2) has recently been mapped. Allelic tests will have to be developed, in order to clarify if the two regions are the same or not.

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The objectives of this study were to detect quantitative trait loci (QTL) for protein content in soybean grown in two distinct tropical environments and to build a genetic map for protein content. One hundred eighteen soybean recombinant inbred lines (RIL), obtained from a cross between cultivars BARC 8 and Garimpo, were used. The RIL were cultivated in two distinct Brazilian tropical environments: Cascavel county, in Paraná, and Viçosa county, in Minas Gerais (24º57'S, 53º27'W and 20º45'S, 42º52'W, respectively). Sixty-six SSR primer pairs and 65 RAPD primers were polymorphic and segregated at a 1:1 proportion. Thirty poorly saturated linkage groups were obtained, with 90 markers and 41 nonlinked markers. For the lines cultivated in Cascavel, three QTL were mapped in C2, E and N linkage groups, which explained 14.37, 10.31 and 7.34% of the phenotypic variation of protein content, respectively. For the lines cultivated in Viçosa, two QTL were mapped in linkage groups G and #1, which explained 9.51 and 7.34% of the phenotypic variation of protein content. Based on the mean of the two environments, two QTL were identified: one in the linkage group E (9.90%) and other in the group L (7.11%). In order for future studies to consistently detect QTL effects of different environments, genotypes with greater stability should be used.

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The objective of this work was to verify the existence of a lethal locus in a eucalyptus hybrid population, and to quantify the segregation distortion in the linkage group 3 of the Eucalyptus genome. A E. grandis x E. urophylla hybrid population, which segregates for rust resistance, was genotyped with 19 microsatellite markers belonging to linkage group 3 of the Eucalyptus genome. To quantify the segregation distortion, maximum likelihood (ML) models, specific to outbreeding populations, were used. These models consider the observed marker genotypes and the lethal locus viability as parameters. The ML solutions were obtained using the expectation‑maximization algorithm. A lethal locus in the linkage group 3 was verified and mapped, with high confidence, between the microssatellites EMBRA 189 e EMBRA 122. This lethal locus causes an intense gametic selection from the male side. Its map position is 25 cM from the locus which controls the rust resistance in this population.

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The current high competition on Citrus industry demands from growers new management technologies for superior efficiency and sustainability. In this context, precision agriculture (PA) has developed techniques based on yield mapping and management systems that recognize field spatial variability, which contribute to increase profitability of commercial crops. Because spatial variability is often not perceived the orange orchards are still managed as uniform and adoption of PA technology on citrus farms is low. Thus, the objective of the present study was to characterize the spatial variability of three factors: fruit yield, soil fertility and occurrence of plant gaps caused by either citrus blight or huanglongbing (HLB) in a commercial Valencia orchard in Brotas, São Paulo State, Brazil. Data from volume, geographic coordinates and representative area of the bags used on harvest were recorded to generate yield points that were then interpolated to produce the yield map. Soil chemical characteristics were studied by analyzing samples collected along planting rows and inter-rows in 24 points distributed in the field. A map of density of tree gaps was produced by georeferencing individual gaps and later by counting the number of gaps within 500 m² cells. Data were submitted to statistical and geostatistical analyses. A t test was used to compare means of soil chemical characteristics between sampling regions. High variation on yield and density of tree gaps was observed from the maps. It was also demonstrated overlapping regions of high density of plant absence and low fruit yield. Soil fertility varied depending on the sampling region in the orchard. The spatial variability found on yield, soil fertility and on disease occurrence demonstrated the importance to adopt site specific nutrient management and disease control as tools to guarantee efficiency of fruit production.

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Nuclear magnetic resonance (NMR) is one of the most versatile analytical techniques for chemical, biochemical and medical applications. Despite this great success, NMR is seldom used as a tool in industrial applications. The first application of NMR in flowing samples was published in 1951. However, only in the last ten years Flow NMR has gained momentum and new and potential applications have been proposed. In this review we present the historical evolution of flow or online NMR spectroscopy and imaging, and current developments for use in the automation of industrial processes.

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O propósito deste estudo retrospectivo foi avaliar o padrão de utilização do sistema de exercícios on-line, facultativos, assíncronos, para o apoio à aprendizagem da disciplina Medicina Legal e Deontologia Médica na Universidade de Brasília. Os sujeitos foram 38 alunos que cursaram a disciplina no segundo semestre de 2005. O sistema oferecia conteúdos textuais e imagens que podiam ser acessados anonimamente. Para a resolução dos exercícios do tipo "verdadeiro" ou "falso", alguns com imagens, era necessário que os alunos se identificassem por senha, o que permitiu o monitoramento. Os resultados mostraram que 32 alunos (84%) realizaram exercícios on-line, com uma média de 183 respostas por aluno, entre os que aderiram; 52% dos exercícios foram resolvidos nas últimas 24 horas antes da prova; 62,3% dos exercícios foram resolvidos entre 19h e 01h. Conclui-se que os alunos, num sistema facultativo, concentram seus esforços na véspera da prova, o que diminui a eficiência do sistema, sugerindo que técnicas de motivação para o uso regular desse tipo de sistema devem ser implementadas.

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Com a intensa produção e veiculação de informações científicas, tornou-se difícil para o profissional médico manter-se atualizado com os recursos habituais. A necessidade de conhecer e de participar de processos de formação continuada se impõe. Entre outras iniciativas, a Associação Médica Brasileira e o Conselho Federal de Medicina lançaram o Programa Nacional de Educação Continuada a Distância para médicos, buscando divulgar o conhecimento produzido nos grandes centros para profissionais de áreas mais remotas ou com reduzida disponibilidade de tempo. Tendo como pressu posto que a Sociedade do Conhecimento requer a formação inicial e continuada de profissionais e de cidadãos com um novo conjunto de competências para atuar com eficiência e responsabilidade, esses programas devem ser desenvolvidos com base em abordagens pedagógicas que efetivamente valorizem, além dos conteúdos de ensino, a disposição para a pesquisa, a autonomia na busca da informação, o espírito colaborativo e a postura ética, entre outras. No intuito de contribuir para essa reflexão, este texto tem por objetivos retomar o processo de formalização da educação médica continuada a distância no Brasil em termos didático-pedagógicos e analisar perspectivas dessas ações educativas.

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O estudo investiga as possibilidades de utilização dos recursos de arquivamento e comunicação de imagens nas salas de aula e à distância no processo de formação médica através da telemedicina. Discutem-se as possibilidades de usar programas de informática que reproduzem os recursos de diferentes meios de diagnóstico por imagem como ferramenta didática nas aulas de telemedicina, por meio do acesso a imagens radiológicas utilizando sistemas de informática para fins de emissão de laudos à distância na formação médica. Avaliou-se a apresentação de imagens digitais nas salas de aula dos cursos de saúde a partir da experiência de residentes em formação que atuam na modalidade online, por meio de questionários aplicados com especialistas e residentes que atuam no caso relatado no estudo. Os aspectos de formação docente dos médicos, especialmente para atuar em ambientes online, definição de metodologias de avaliação, interação entre os sujeitos envolvidos foram avaliados para considerar a possibilidade de usar a experiência em cursos de Medicina como um meio de educação à distância (EAD) utilizando Arquivamento e Comunicação de Imagens (PACS)