123 resultados para Palmeira (Vegetal)
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O presente trabalho tem como objetivo descrever a estrutura fitossociológica do estrato herbáceo, de diferentes manchas que definem o mosaico da vegetação de um trecho do Ribeirão Claro e seu afluente Jardim Bandeirantes, analisando a diversidade das comunidades no tempo e no espaço, a dominância e a distribuição das espécies, estabelecendo relações com variáveis ambientais edáficas (umidade, pH e teor de matéria orgânica) e microclimáticas (luminosidade, cobertura de dossel e declividade), a fim de estudar a estrutura, composição e os processos sucessionais desta fitocenose. Foram definidas 13 manchas de vegetação como foco de estudo, em cada uma foram dispostas 6 parcelas de 5x5m perfazendo uma extensão de 30 m perpendicularmente ao rio. No interior das parcelas foram levantadas todas as formas de vida vegetais abaixo de 1,5m de altura, aplicando-se um método de avaliação de cobertura (método do toque), onde a amostragem foi realizada em intervalos de 0,5m. Os indivíduos foram amostrados com indicação do seu hábito e classificação taxonômica. As quantificações foram realizadas tanto no período chuvoso quanto no período seco, com a finalidade de entender a dinâmica sazonal dessa comunidade. A comunidade estudada apresentou variação em sua composição e estrutura no que se refere às estações seca e chuvosa. Os parâmetros ambientais analisados mostraram uma heterogeneidade física nas fisionomias descritas, o que pode estar contribuindo para a diferenciação na distribuição das espécies amostradas em cada fisionomia. Com base no inventário realizado, envolvendo a vegetação marginal do trecho estudado do Ribeirão Claro e seu tributário Jardim Bandeirantes, em duas estações distintas, os dados mostraram maiores variações da cobertura herbácea nas fitocenoses em estágios sucessionais mais avançados... (Resumo completo, clicar acesso eletrônico abaixo)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Charcoal is obtained from carbonization, much used in the steel industry for ore reduction, using as raw material the Eucalyptus. The present study aims to verify whether the main Eucalyptus saligna genetically modified produce quality charcoal with only 3.5 years old. The study was done with material collected from three trees, divided into five discs removed at 0, 25 , 50 , 75 and 100 % of the commercial height of the tree. The procedures adopted were based on standards published by ABNT. The results were satisfactory for the parameters: basic wood density with an average of 0.39 ± 0.0082 g / cm ³; volatile materials from coal with an average of 19.35 ± 3.27 %, fixed carbon content of the coal with an average of 75.62 ± 3.40 % and gross calorific value of coal with an average of 4694.43 cal / g, and unsatisfactory results for ash content averaging 5.03 ± 0.23 when compared to the values found in the literature. It was concluded that the studied wood is able to produce charcoal, but the factors of production should be better observed, such as heating time which exerted direct influence on the determination of ash content
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Pós-graduação em Zootecnia - FCAV
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Pós-graduação em Agronomia (Horticultura) - FCA
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Introduction: Bamboos belong to the family Graminae, Bambusoidae subfamily, represented by about 1,250 species worldwide. Originally employed in construction and power, are currently the subject of investigations related to its therapeutic properties in neoplasms. The main species used for therapeutic purposes based on popular knowledge are: Phyllostachys nigra; Bambusa breiflora; tuldoides Bambusa textilis and Bambusa. The literature on the therapeutic action of bamboo species is scarce, but recent studies report a promising effect in the treatment of cancer and other chronic diseases. Objective: This study aimed to evaluate qualitatively the phytochemical composition of plant extract obtained from the leaves of the bamboo species Bambusa textilis, comparing this composition from vegetable leaves with 18 and 24 months of age. Methodology: After collecting plant leaves with 18 or 24 months, they were identified and submitted to drying and milling. For qualitative analysis of its components were employed methods of macroscopic evaluation (mucilage), method of benzoin (resin), reaction Shinoda (flavonoids), reaction with gelatin solution (tannins), boiling and foaming (saponins) and jobs of reactive Wagner, Bertrand, Dragendorff, Mayer, picric acid and tannic acid (alkaloids) (Biavatti; MILK, 2007). Results: in the youngest leaves were found positive for alkaloids, flavonoids, resins and saponins. In the leaves of the plant with 24 months were found only alkaloids flavonoids and resins. Conclusion: the composition of vegetable substances were found associated with a significant therapeutic potential difference and the phytochemical composition in comparison with plant leaves 18 or 24 months. Additional studies are needed to quantify these components, as well as the clarification of its action in the fight against cancer and chronic diseases.
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Pós-graduação em Agronomia (Produção Vegetal) - FCAV
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Pós-graduação em Microbiologia Agropecuária - FCAV
Análise parâmetros elétricos consumo, fator de carga e demanda de empresas de refino de óleo vegetal
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Empresas muitas vezes tem seu consumo de energia elétrica descontrolados por possuírem motores elétricos muitas vezes super-dimensionados, trabalhando em vazio ou em horário de pico. Sendo este tipo de atividade responsável por grande parte do gasto energético da empresa. Existem dois fatores que avaliam o modo de utilização desta energia, denominados fator de potência (fp) e fator de carga (fc), que indicam a eficiência e racionalidade da forma de utilização da energia elétrica, respectivamente. A necessidade de uma avaliação global da utilização da energia, levando em consideração os dois fatores citados, é realizada por especialistas da área energética para a determinação da situação real da empresa. Podendo ser uma tarefa árdua muitas vezes demorada. Para isto é necessária uma análise estatística descritiva dos dados. Este trabalho tem como objetivo realizar esta analise de dados de uma empresa de refino de óleo vegetal.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Processamento e restituição digital de fotografias aéreas coloridas para estudo da cobertura vegetal
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This work aimed to apply geoprocessing techniques to identify and to quantify the types of vegetal coverings in part of the county Botucatu – SP, having been divided into three phases: acquisition of data; georeferencing based on the digital topographic maps in 1:50000 scale and finally the thematic maps were generated. The methodology used to the analogical aerial photographics georeferencing showed efficient, considering that it was based on scientific procedures of residues
Processamento e restituição digital de fotografias aéreas coloridas para estudo da cobertura vegetal
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This work aimed to apply geoprocessing techniques to identify and to quantify the types of vegetal coverings in part of the county Botucatu – SP, having been divided into three phases: acquisition of data; georeferencing based on the digital topographic maps in 1:50000 scale and finally the thematic maps were generated. The methodology used to the analogical aerial photographics georeferencing showed efficient, considering that it was based on scientific procedures of residues analysis and the positioning central was classified as A, according to the Cartographic Precision Pattern.
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The quality and efficiency in straw cutting are determinants in the sowing process, according to the occurrence of "tamp" and stops, the magnitude of the straw removal or even the known effects of the seed "envelopment" where the cutting mechanism can not cut the remaining straw. Thus, the objective of this study was to evaluate the performance of different mechanisms for straw cutting of a seeder individualized in different amounts of crop coverage artificially added in a clay soil. The experiment was conducted at Unesp – Sao Paulo State University in the Experimental Farm Lageado, belonging to the College of Agricultural Sciences - Unesp, Botucatu. The experimental design was split plot with four replications, with main plots consisting of five quantities of black oat straw, in area with no-tillage system and subplots of three opening furrows mechanisms, which are: plane disk (PD), corrugated disk (CD) and wavy disk (WD). The wavy disk provided greater rolling resistance, reducing the speed of the set (tractor and equipment). The plane cutting disk showed the highest values of mobilized soil area, deeper penetration into the soil, requiring lower values of vertical force and higher values of lateral force. Regarding the type of waste and doses used, they offered no resistance to cutting and there was no change in the horizontal force on straw.
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The aim of this work is to discriminate vegetation classes throught remote sensing images from the satellite CBERS-2, related to winter and summer seasons in the Campos Gerais region Paraná State, Brazil. The vegetation cover of the region presents different kinds of vegetations: summer and winter cultures, reforestation areas, natural areas and pasture. Supervised classification techniques like Maximum Likelihood Classifier (MLC) and Decision Tree were evaluated, considering a set of attributes from images, composed by bands of the CCD sensor (1, 2, 3, 4), vegetation indices (CTVI, DVI, GEMI, NDVI, SR, SAVI, TVI), mixture models (soil, shadow, vegetation) and the two first main components. The evaluation of the classifications accuracy was made using the classification error matrix and the kappa coefficient. It was defined a high discriminatory level during the classes definition, in order to allow separation of different kinds of winter and summer crops. The classification accuracy by decision tree was 94.5% and the kappa coefficient was 0.9389 for the scene 157/128. For the scene 158/127, the values were 88% and 0.8667, respectively. The classification accuracy by MLC was 84.86% and the kappa coefficient was 0.8099 for the scene 157/128. For the scene 158/127, the values were 77.90% and 0.7476, respectively. The results showed a better performance of the Decision Tree classifier than MLC, especially to the classes related to cultivated crops, indicating the use of the Decision Tree classifier to the vegetation cover mapping including different kinds of crops.