Aplicação de DNA Barcode na identificação de espécies dos gêneros Senna, Lantana e Casearia

Pós-graduação em Biotecnologia - IQ

Caracterização e identificação de vírus em allium spp

Pós-graduação em Agronomia (Proteção de Plantas) - FCA

A aplicação da abordagem do Tecnógeno na identificação e classificação dos terrenos e depósitos tecnogênicos no ambiente urbano de Guarapuava-PR

Pós-graduação em Geografia - FCT

Estudo da ativação da superfície de alumínio por íons de mercúrio e formação do amálgama Hg-Al: identificação do produto e cinética de reação

The activation of aluminum surface has the most various purposes as for example the search for the surface activation mechanism and the corrosion products by mercury ions. The objective of this work is to study the reactivity of the surface of aluminum metal when activated by mercury ions (Hg2+), with the consequent formation of an Al-Hg amalgam. Results demonstrate that the kinetics of the reaction, by measuring the mass change with time of the corrosion product formed between Al and Hg, and analysis by infrared spectroscopy (IR) that the product of the reaction between the amalgam, located on the surface, and the atmospheric oxygen is Al2O3 (aluminum hydroxide). The results also indicate that the kinetics of the reaction between the amalgam (Hg-Al) and atmospheric oxygen is of first order and reach a region where there is no more formation of product

Identificação de cavidades naturais por meio de eletrorresistividade na região de São Pedro (SP)

The scope of this work is the study of natural cavities in gullies through geophysics. The studied area is located in the city of São Pedro (SP) more precisely in the gully of Tucunzinho. The historic of the area shows that, since the 60s there were problems with the high rate of erosion in the gully. In addition to increased erosion, there is the appearance of cavities inside responsible for rebates, aggravating the situation. Geophysical methods have been successfully applied in environmental studies since they are noninvasive, are fast and relatively inexpensive. In order to better understand the context of formation of the pipes in relation to local geology, three arrangements were compared for the method of Electrical Resistivity, Schlumberger, Wenner and Dipole-dipole. Then, it was possible to determine which one is the best for this type of study. According to the data obtained in the field, the Schlumberger array presents more consistent results in relation to the erosive context analyzed

Utilização dos parâmetros físico-químicos e redes neurais artificiais na identificação dos méis de abelhas (Apis mellifera L.) produzidos no verão e inverno na microrregião de Campos de Jordão, São Paulo

The objective of this work was to typify, through physicochemical parameters, honey from Campos do Jordão’s microrregion, and verify how samples are grouped in accordance with the climatic production seasonality (summer and winter). It were assessed 30 samples of honey from beekeepers located in the cities of Monteiro Lobato, Campos do Jordão, Santo Antonio do Pinhal e São Bento do Sapucaí-SP, regarding both periods of honey production (November to February; July to September, during 2007 and 2008; n = 30). Samples were submitted to physicochemical analysis of total acidity, pH, humidity, water activity, density, aminoacids, ashes, color and electrical conductivity, identifying physicochemical standards of honey samples from both periods of production. Next, we carried out a cluster analysis of data using k-means algorithm, which grouped the samples into two classes (summer and winter). Thus, there was a supervised training of an Artificial Neural Network (ANN) using backpropagation algorithm. According to the analysis, the knowledge gained through the ANN classified the samples with 80% accuracy. It was observed that the ANNs have proved an effective tool to group samples of honey of the region of Campos do Jordao according to their physicochemical characteristics, depending on the different production periods.

Identificação de Physciaceae s.l. foliosas brasileiras

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

Imagens aéreas multiespectrais na identificação de zonas de manejo em áreas de algodão para aplicação localizada de insumos

Crop yield is influenced by several factors with variability in time and space that are associated with the variations in the plant vigor. This variability allows the identification of management zones and site-specific applications to manage different regions of the field. The purpose of this study was the use of multispectral image for management zones identification and implications of site-specific application in commercial cotton areas. Multispectral airborne images from three years were used to classify a field into three vegetation classes via the Normalized Difference Vegetation Index (NDVI). The NDVI classes were used to verify the potential differences between plant physical measurements and identify management zones. The cotton plant measurements sampled in 8 repetitions of 10 plants at each NDVI class were Stand Count, Plant Height, Total Nodes and Total Bolls. Statistical analysis was performed with treatments arranged in split plot design with Tukey’s Test at 5% of probability. The images were classified into five NDVI classes to evaluate the relationship between cotton plant measurement results and sampling location across the field. The results have demonstrated the possibility of using multispectral image for management zones identification in cotton areas. The image classification into three NDVI classes showed three different zones in the field with similar characteristics for the studied years. Statistical differences were shown for plant height, total nodes and total bolls between low and high NDVI classes for all years. High NDVI classes contained plants with greater height, total nodes and total bolls compared to low NDVI classes. There was no difference in Stand Count between low and high NDVI classes for the three studied years. The final plant stand was the same between all NDVI classes for 2001 and 2003 as it was expected due to the conventional seeding application with the same rate of seeds for the entire field.

SIG aplicado na identificação e localização potencial de áreas de preservação permanente numa microbacia

O uso inadequado do solo é um fator agravante da degradação ambiental e desequilíbrio ecológico. Este trabalho visou avaliar os conflitos de uso da terra em áreas de preservação permanentes (APP) na microbacia do São Pedro - Botucatu (SP) através de Sistema de Informações Geográficas e imagem de satélite de 2006. A área de estudo localiza-se entre as coordenadas geográficas 48º 21’ a 48º 23’ de longitude WGr. e 22º 52’S e 22º 56’ de latitude S com uma área de 1458,4ha. Os resultados permitiram verificar que as técnicas de geoprocessamento foram de importância fundamental na identificação das áreas de uso de terra, de APPs e de conflitos entre uso e APPs onde uma pequena parte das áreas de APPs está conflitando. Em termos de sustentabilidade ambiental, pode ser deduzido que a microbacia é desfavorável, uma vez apresenta com quase 44% da área usada inadequadamente por pastagens.

Métodos de classificação de imagens na identificação de áreas cultivadas com citros

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Comparação de métodos de classificação de imagens na identificação de áreas cultivadas com citros

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Identificação de áreas degradadas por extração de argila no município de Ourinhos (SP): recuperação do passivo ambiental e proteção dos recursos hídricos

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

Identificação de cavidades em voçoroca por meio da aplicação do método geofísico da eletrorresistividade

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Identificação de regiões polimórficas para alta produtividade de mel e sequênciamento genômico em abelhas Apis mellifera africanizadas

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

Identificação de genes de predisposição à síndrome dos carcinomas de mama e tireoide por sequenciamento total do exoma

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)