Utilização de pastagem de alfafa e raspa de mandioca na produção de leite de cabras

Pós-graduação em Zootecnia - FMVZ

Efeitos de perfurações artificiais no processo de decomposição em Sus Scrofa (L.) e confecção de uma check-list da entomofauna de Diptera visitante, durante inverno e verão, na região sudeste

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Fluxo anual de cátions e ânions no Complexo alcalino-carbonatítico de Tapira, Minas Gerais

Pós-graduação em Geologia Regional - IGCE

Desempenho e bem estar de bovinos Nelore na fase de recria mantidos em sistemas integrados de produção agropecuária

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Comportamento ingestivo, desempenho e características de carcaça de cordeiros semi-confinados em sistema integrado de produção

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Greenhouse gas balance associated with sugarcane production in South-Central Brazil, considering the management and expansion

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Greenhouse gas emissions and N2o mitigation in beef cattle production on tropical pasture

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

Impactos do manejo de um sistema plantio direto no crescimento e produtividade do arroz de terras altas e feijão de inverno em sucessão e nos atributos do solo

Pós-graduação em Agronomia - FEIS

Estudo hierárquico do sistema de reprodução entre e dentro de frutos, fluxo de pólen e estrutura genética espacial em um fragmento e em árvores isoladas na pastagem de hymenaea stigonocarpa mart. ex hayne na região de cerrado

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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.

Avaliação da participação e confiabilidade da população em relação à campanha de vacinação anual contra a raiva de cães e gatos no município de Botucatu, São Paulo, Brasil

The annual vaccination campaign against rabies is the most effective prevention procedure for this disease in dogs and cats and hence for human protection also. However, in 2010 and 2011, this activity was interrupted in Brazil due to the occurrence of adverse events associated with vaccination. Even though cases of canine rabies have been decreasing in the last two decades, vigilance must be strengthened in order to maintain pet owners trust in the vaccines provided in public services. This study aimed to determine pet owners participation in the annual vaccination campaign carried out in Botucatu. During March and April 2012, the period before the 42nd campaign, 312 pet owners, dogs and cats, were interviewed. The homes were randomly drawn in blocks from different sectors of the city; all houses on the same block over the 120 km² of urban area participated in the sampling process. Statistical analysis was performed descriptively. The results showed that the owners main motivation to vaccinate their pets during the campaigns is rabies prevention (36%), followed by the proximity of the vaccination station to the house (20.7%), zero cost (10.9%), and the combination of all three factors (16.1%). When asked if they would take their animals back to be vaccinated in another campaign, 60.1% answered yes, 13.5% would go to a private clinic, 2.2% would not take because they do not trust the vaccine and 1.6% had not decided yet. We conclude that the respondents have realized how dangerous Rabies is, because even after the break period, they still utilized the vaccination campaign demonstrating confidence in its effectiveness, while knowing the campaign goals facilitates understanding and participation.

Evolução diurna e anual da frequência das coberturas de céu em Botucatu/SP

This work presents an analysis of the pattern variation of the sky conditions in Botucatu/SP. The classification was based on the clarness index KT. It was used in the classification a database of global solar irradiance in the horizontal, measured at Radiometric Station of UNESP in Botucatu (latitude 22.85°S, longitude 48.43°W, altitude 786 m) from 1996 to 2005. We analyzed the variations in frequency, during the photoperiod and over the year, of the sky conditions: I - Cloudy (KT < 0.35); II - party cloudy with dominance for the diffuse (0.35 < 0.55 < KT)) III - party cloudy with dominance for the clear (0.55 < KT < 0.65) and IV - clear (KT > 0.65). The frequency of sky conditions I and II are higher during the rainy season of the year and in hours close to sunrise and sunset. And it is lower during the dry season an in hours near noon, in wich there is a predominance of sky conditions III and IV. The monthly hourly frequency of sky condition I ranged from 46,91% of the photoperiod in January to 25.27% in August. And the frequency monthly daily ranged from nine days in January to three days in August. To the sky condition IV, the frequency monthly hourly ranged from 38.81% of the photoperiod in August to 18.17% im January. And the frequency monthly daily ranged from 17 days in August to three days in January.

Aplicação de doses de vinhaça sob desenvolvimento vegetativo de pastagem degradada e propriedades físicas do solo

The experiment was conducted in the experimental field of the University of GoiásUEG, UNU Ipameri - GO with the objective of evaluating the effect of different doses of vinasse on the vegetative development of degraded pasture and soil physical properties in two seasons. The pasture used in the experiment was in a state of degradation, and had eight years of formation. The experimental design was randomized blocks consisted of eight treatments and four blocks, totaling 32 experimental units. We evaluated the following soil physical properties: density the soil, particle density, total porosity, infiltration velocity, soil water. We also evaluated the following parameters of vegetative development of grassland: green and dry mass of shoots, effective depth of the root system, the grass height. The results were submitted to analysis of variance at 5% significance level and after we performed regression testing. The vinasse promoted significant effect on all parameters related to vegetative development of both grazing during the rainy season as in the dry. In this case, a model that best fit the dataset vegetative pasture was quadratic. It appeared that the vinasse different doses did not cause changes in the physical properties of the soil.

Discriminação de classes de cobertura vegetal utilizando técnicas de classificação digital de imagens de sensoriamento remoto

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.