999 resultados para degradação de pastagem


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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Química - IQ

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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As sementes de anonáceas são conhecidas por apresentarem mecanismos de dormência, o que dificulta a perpetuação das espécies e a formação de áreas produtivas para a exploração comercial. Deste modo, os objetivos deste trabalho foram estudar curva de aquisição de água; a germinação de sementes tratadas com GA3 e GA4+7 + Benziladenina; o balanço hormonal e a degradação de reservas em sementes de Annona diversifolia Saff e Annona purpurea Moc & Sessé ex Dunal tratadas com reguladores vegetais para a superação da dormência. Para tanto foram realizados três experimentos. Para a construção da curva de aquisição de água foram utilizadas 4 repetições de 25 sementes que foram mantidas em embebição e pesadas durante 480 horas. O segundo experimento foi constituído pela germinação das sementes tratadas com os reguladores vegetais; o delineamento experimental empregado foi o inteiramente casualizado com 4 repetições de 25 sementes por parcela em esquema fatorial 2 x 7 (reguladores x concentrações). Os tratamentos foram constituídos pelas combinações entre concentrações de GA3 e de GA4+7 + Benziladenina (GA4+7 + BA) x 0, 200, 400, 500, 600, 800 e 1000 mg L-1 i.a.. No terceiro experimento foram quantificados ABA (Ácido abscísico) e GA (Giberelinas), proteínas, açúcares...

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The knowledge on spatial distribution of soil properties by means of geostatistics is important as an indicator for a better soil use and management. This study aimed at evaluating the spatial distribution of soil chemical properties, in a forest and pasture area in Manicoré, Amazonas State, Brazil. Grids with 70.00 m x 70.00 m, with regular spacing of 10.00 m x 10.00 m, totaling 64 points, were established, and then soil samples were collected at the depths of 0.0-0.20 m and 0.40-0.60 m and had their chemical properties determined. Data were analyzed by using descriptive statistics and geostatistics, and the sampling density analysis was based on the coefficient of variation and semivariograms range. The mean and median values were adjusted to the closest values, indicating normal distribution, while the spherical, exponential and gaussian models were adjusted to the soil chemical properties. It was concluded that the geostatistics provided adequate information for understanding the spatial distribution. The forest area showed a higher spatial continuity and the pasture area a lower sampling density. The chemical properties showed differences in the spatial variability, while the range represented better the estimates for sampling density and spacing, in the forest and pasture area.

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The use of geostatistical techniques allows detection of the existence of dependence and the spatial distribution of soil properties, thus constituting an important tool in the analysis and detailed description of the behavior of soil physical properties. The aim of the present study was to use geostatistics in assessment of physical properties in a Latossolo (Oxisol) dystrophic under native forest and pasture in the Amazon region of Manicore. Grids with of 70 x 70 m were established in native forest and pasture, and points were marked in these grids spaced at every 10 m, for a total of 64 points. These points were then georeferenced and in each one, soil samples (128) were collected at the depths of 0.00-0.20 and 0.40-0.60 m for a survey of their physical properties. These grids are parallel at a distance of 100 m from one another. The following determinations were made: texture, bulk density and particle density, macroporosity, microporosity, total porosity and aggregate stability in water. After tabulating the data, descriptive statistical analysis and geostatistical analysis were performed. The pasture had a slight variation in its physical properties in relation to native forest, with a high coefficient of variation and weak spatial dependence. The scaled semivariograms were able to satisfactorily reproduce the spatial behavior of the properties in the same pattern as the individual semivariograms, and the use of the parameter range of the semivariogram was efficient for determining the optimal sampling density for the environments under study. The geostatistical results indicate that the removal of native forest for establishing pasture altered the natural variability of the physical properties.