984 resultados para Parede celular vegetal - Hidrólise


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Pós-graduação em Agronomia (Produção Vegetal) - FCAV

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Pós-graduação em Microbiologia Agropecuária - FCAV

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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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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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The biomass resulting from processing sugarcane bagasse has been considered a source of cellulose with the potential production of bio-fuels. This lignocellulose can be processed into ethanol since is hydrolyzed by chemical processes (acids) or biotechnology (enzymes) which generate sugars suit for fermentation. This study had the objective to utilize physical and chemical pre-treatment processes for prehydrolysis of sugarcane bagasse. The experimental treatment was adjusted at a factor of 4 X 2, by the combination of pre-hydrolysis timing (15, 30, 45 and 60 minutes) and sulfuric acid concentrations (7.0% and 9.0%) which was incubated at a temperature of 121° C in an autoclave. The treatment data was subjected to analysis of the variance and averages which were compared using the Tukey test with a probability of 5%. The results obtained showed that through pretreatment acid applied on the lignocellulose material, there was a significant break from the substrate fibers like cellulose, hemicellulose and lignin.

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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)

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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

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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.