226 resultados para Tree planting


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The fruit of Indian Eugenia jambolana have been shown to have therapeutic properties, but because the therapeutic potential of a plant is related to the geographic region in which the plant was grown and to the part of the plant used, we investigated Brazilian Eugenia jambolana fruit using the same preparation and experimental methods as have been used in India. The well-established metabolic cage model was used to evaluate the physiological and metabolic parameters associated with streptozotocin-induced diabetes in rats (n = 10) which had been administered, by gavage, 50 mg per day of lyophilised Eugenia jambolana fruit-pulp extract for 41 days. We found that, compared to untreated controls, rats treated with the lyophilised fruit-pulp showed no observable difference in body weight, food or water intake, urine volume, glycaemia, urinary urea and glucose, hepatic glycogen, or on serum levels of total cholesterol, HDL cholesterol or triglycerides. No change was observed in the masses of epididymal or retroperitoneal adipose tissue or of soleus or extensor digitorum longus muscles. This lack of any apparent effect on the diabetes may be attributable to the regional ecosystem where the fruit was collected and/or to the severity of the induced diabetes. (C) 2004 Elsevier B.V.. All rights reserved.

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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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Rice production in Brazil in 2010 was approximately 12,2 million tons, and to reach that amount several planting techniques were used with different strains of rice in different rice-growing areas. Since Rice Husk Ash (RHA) is the pozzolan of vegetable origin most studied by researchers working in the area of pozzolanic materials, the present paper evaluates the influence that the form of planting, the climate, the soil, the strain of rice and the origin/amount of nitrogen-based fertilizers used in rice cultivation has on the chemical composition and crystallographic properties of RHA. The results obtained in this paper, confirm the importance of carrying out routine chemical analysis and X-Ray diffraction to maintain the quality control of the CCAs produced, because in situations of large-scale production, husks of different origins may be used.

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A produção de forragem na integração lavoura-pecuária é de suma importância, tanto para alimentação animal como para formação de palhada para plantio direto. O experimento foi conduzido no outono/inverno de 2009 e 2010, em Selvíria -MS, na Fazenda de Ensino, Pesquisa e Extensão da FEIS/UNESP. O objetivo foi avaliar a profundidade mais adequada para deposição das sementes de duas espécies de braquiárias em consórcio com milho, com ênfase para a produtividade do milho e formação de palha. O delineamento experimental foi em blocos ao acaso, em esquema fatorial 3 x 3, com quatro repetições. Os tratamentos principais foram duas espécies de braquiárias (Urochloa brizantha cv. Marandú e Urochloa ruziziensis), cujas sementes foram misturadas ao fertilizante do milho, e um tratamento-testemunha (sem consórcio). Os tratamentos secundários constituíram-se em três profundidades (8; 10 e 16 cm) de deposição do fertilizante (em consórcio e na testemunha). Os consórcios de milho com braquiária produziram quantidades de palha semelhantes. A produção total de palha foi maior nos consórcios e nas menores profundidades. O consórcio com U. ruziziensis propiciou maior produtividade de grãos de milho em relação ao com U. brizantha, em 2010. As profundidades de semeadura das forrageiras não afetaram a produtividade de milho.

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

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Background: Leptospirosis is an important zoonotic disease associated with poor areas of urban settings of developing countries and early diagnosis and prompt treatment may prevent disease. Although rodents are reportedly considered the main reservoirs of leptospirosis, dogs may develop the disease, may become asymptomatic carriers and may be used as sentinels for disease epidemiology. The use of Geographical Information Systems (GIS) combined with spatial analysis techniques allows the mapping of the disease and the identification and assessment of health risk factors. Besides the use of GIS and spatial analysis, the technique of data mining, decision tree, can provide a great potential to find a pattern in the behavior of the variables that determine the occurrence of leptospirosis. The objective of the present study was to apply Geographical Information Systems and data prospection (decision tree) to evaluate the risk factors for canine leptospirosis in an area of Curitiba, PR.Materials, Methods & Results: The present study was performed on the Vila Pantanal, a urban poor community in the city of Curitiba. A total of 287 dog blood samples were randomly obtained house-by-house in a two-day sampling on January 2010. In addition, a questionnaire was applied to owners at the time of sampling. Geographical coordinates related to each household of tested dog were obtained using a Global Positioning System (GPS) for mapping the spatial distribution of reagent and non-reagent dogs to leptospirosis. For the decision tree, risk factors included results of microagglutination test (MAT) from the serum of dogs, previous disease on the household, contact with rats or other dogs, dog breed, outdoors access, feeding, trash around house or backyard, open sewer proximity and flooding. A total of 189 samples (about 2/3 of overall samples) were randomly selected for the training file and consequent decision rules. The remained 98 samples were used for the testing file. The seroprevalence showed a pattern of spatial distribution that involved all the Pantanal area, without agglomeration of reagent animals. In relation to data mining, from 189 samples used in decision tree, a total of 165 (87.3%) animal samples were correctly classified, generating a Kappa index of 0.413. A total of 154 out of 159 (96.8%) samples were considered non-reagent and were correctly classified and only 5/159 (3.2%) were wrongly identified. on the other hand, only 11 (36.7%) reagent samples were correctly classified, with 19 (63.3%) samples failing diagnosis.Discussion: The spatial distribution that involved all the Pantanal area showed that all the animals in the area are at risk of contamination by Leptospira spp. Although most samples had been classified correctly by the decision tree, a degree of difficulty of separability related to seropositive animals was observed, with only 36.7% of the samples classified correctly. This can occur due to the fact of seronegative animals number is superior to the number of seropositive ones, taking the differences in the pattern of variable behavior. The data mining helped to evaluate the most important risk factors for leptospirosis in an urban poor community of Curitiba. The variables selected by decision tree reflected the important factors about the existence of the disease (default of sewer, presence of rats and rubbish and dogs with free access to street). The analyses showed the multifactorial character of the epidemiology of canine leptospirosis.