Avaliação de genótipos de Panicum maximum Jacq. à cárie do sino e à mancha foliar

Cultivares de Panicum maximumvêm apresentando danos elevados com doenças, como a cárie do sino e a mancha foliar, causadas por Tilletia ayresiie Bipolaris maydis,respectivamente. Objetivou-se, neste trabalho, avaliar a reação de genótipos desta gramínea forrageira a essas doenças. Os experimentos foram conduzidos na Embrapa Gado de Corte, em Campo Grande (MS), no período de fevereiro a julho de 2012. Avaliaram-se, semanalmente, as intensidades das doenças em 26 genótipos de P. maximum.Dentre os genótipos avaliados, houve variação de graus de resistência para a cárie do sino e para a mancha foliar. As condições ambientais de temperatura e umidade relativa favoráveis à cárie do sino foram 16ºC a 27ºC e 62% a 88% e à mancha foliar 22ºC a 27°C e 62% a 83%. A resistência à cárie do sino mostrou ser caráter herdável e o genótipo PM40 comportou-se como a testemunha suscetível, Tanzânia-1, em relação à mancha foliar. O manejo de P. maximumcom corte de uniformização mostrou-se promissor na composição das estratégias de controle para redução da intensidade da mancha foliar.

Reação à Bipolaris maydis, agente causal da mancha foliar, em híbridos apomíticos de Panicum maximum

A mancha foliar, causada por Bipolaris maydis, é a principal doença de Panicum maximum. A seleção de genótipos resistentes é a melhor estratégia para o controle desta doença. Com o objetivo de identificar fontes de resistência de P. maximum à mancha foliar, 92 híbridos apomíticos, originários de cruzamentos das cultivares Tanzânia-1 e Mombaça, e outros três genótipos sexuais foram testados. Em blocos casualizados, com oito repetições cada, inocularam-se plantas com 30 dias de idade e, após 12 dias, a severidade da doença foi avaliada. Foram verificadas diferenças significativas (P<0,05), de genótipos entre e dentro das progênies, com relação a resistência à mancha foliar. Identificaram-se híbridos com resistência à doença, com destaque para os híbridos MS81, A109, B109, B89 e A4.

Using aster multispectral imagery for mapping woody invasive species in pico da vara natural reserve (Azores Islands, Portugal)

This paper aims to assess the effectiveness of ASTER imagery to support the mapping of Pittosporum undulatum, an invasive woody species, in Pico da Vara Natural Reserve (S. Miguel Island, Archipelago of the Azores, Portugal). This assessment was done by applying K-Nearest Neighbor (KNN), Support Vector Machine (SVM) and Maximum Likelihood (MLC) pixel-based supervised classifications to 4 different geographic and remote sensing datasets constituted by the Visible, Near-Infrared (VNIR) and Short Wave Infrared (SWIR) of the ASTER sensor and by digital cartography associated to orography (altitude and "distance to water streams") of which the spatial distribution of Pittosporum undulatum directly depends. Overall, most performed classifications showed a strong agreement and high accuracy. At targeted species level, the two higher classification accuracies were obtained when applying MLC and KNN to the VNIR bands coupled with auxiliary geographic information use. Results improved significantly by including ecology and occurrence information of species (altitude and distance to water streams) in the classification scheme. These results show that the use of ASTER sensor VNIR spectral bands, when coupled to relevant ancillary GIS data, can constitute an effective and low cost approach for the evaluation and continuous assessment of Pittosporum undulatum woodland propagation and distribution within Protected Areas of the Azores Islands.

Evapotranspiração máxima do capim "Tanzânia" (Panicum maximum J.) em pastejo rotacionado, baseada na evaporação do tanque "Classe A " e no índice de área foliar

Em função do índice de área foliar (IAF) do Capim Tanzânia (Panicum maximum J.) e da lâmina de evaporação do tanque "Classe A" (ECA), foi gerado um modelo multiplicativo para determinar a evapotranspiração máxima (ETm) desse cultivo forrageiro. Foi adotada uma correlação entre a ETm em função da evaporação do tanque "Classe A" e do índice de área foliar (IAF), por meio de uma regressão linear múltipla dos valores logarítmicos, correspondentes a períodos diários durante 11 meses (janeiro a novembro de 2000). Considerando a dificuldade para determinar o IAF e aplicar como variável no modelo proposto, foi desenvolvido outro modelo por meio da correlação entre a ETm e as variáveis ECA e o valor equivalente de IAF, em dias de descanso (NDd), adotando-se como padrão o número de 33 dias como o máximo recomendado de descanso para capim Tanzânia, em condições irrigadas. Para avaliar os modelos, foram utilizados valores de ETm observados a campo durante quatro meses (agosto a novembro-2000) por meio do método de balanço hídrico do solo, monitorado com tensiômetros. Na validação do modelo, foram utilizados testes estatísticos recomendados na literatura, verificando-se bons ajustes entre os valores observados e estimados, recomendando-se a sua utilização para o manejo da irrigação de Capim Tanzânia, no Estado de São Paulo.

Fitorremediação de solo contaminado com o herbicida picloram por plantas de Panicum maximum em função do teor de água

O objetivo deste trabalho foi avaliar a influência de lâminas de água no solo sobre a fitorremediação de solo contaminado com o herbicida picloram por plantas de Panicum maximum cv Tanzânia. O experimento foi conduzido em casa de vegetação, e os tratamentos, em número de 12, foram compostos pela combinação entre quatro níveis diários de reposição da água, através das lâminas de água evaporada (80; 90; 100 e 110% da quantidade de água evaporada) e de três doses do picloram (0; 80 e 160 g ha-1). A quantidade de água evaporada foi determinada por meio de dois evaporímetros. Após a aplicação do herbicida, foi realizada a semeadura da espécie vegetal fitorremediadora. Noventa dias após a emergência, as plantas de capim-tanzânia foram dessecadas, e a parte aérea, descartada. Terminada esta etapa, efetuou-se a semeadura da soja como bioindicadora da presença do picloram, determinando-se fitotoxicidade, altura e massa verde e seca. A soja mostrou-se extremamente sensível à presença do picloram no solo. Constatou-se que os valores extremos de umidade avaliados, 80 e 110% da reposição diária da lâmina de água evaporada, favoreceram a remediação de solos contaminados com o herbicida picloram. A otimização da fitorremediação não é significativa quando se avaliou o resíduo correspondente a 160 g ha-1 do herbicida.

Comparison of maps of spatial variability of soil resistance to penetration constructed with and without covariables using a spatial linear model

A study about the spatial variability of data of soil resistance to penetration (RSP) was conducted at layers 0.0-0.1 m, 0.1-0.2 m and 0.2-0.3 m depth, using the statistical methods in univariate forms, i.e., using traditional geostatistics, forming thematic maps by ordinary kriging for each layer of the study. It was analyzed the RSP in layer 0.2-0.3 m depth through a spatial linear model (SLM), which considered the layers 0.0-0.1 m and 0.1-0.2 m in depth as covariable, obtaining an estimation model and a thematic map by universal kriging. The thematic maps of the RSP at layer 0.2-0.3 m depth, constructed by both methods, were compared using measures of accuracy obtained from the construction of the matrix of errors and confusion matrix. There are similarities between the thematic maps. All maps showed that the RSP is higher in the north region.

Probabilistic structure of an annual extreme rainfall series of a coastal area of the State of São Paulo, Brazil

This study aimed to describe the probabilistic structure of the annual series of extreme daily rainfall (Preabs), available from the weather station of Ubatuba, State of São Paulo, Brazil (1935-2009), by using the general distribution of extreme value (GEV). The autocorrelation function, the Mann-Kendall test, and the wavelet analysis were used in order to evaluate the presence of serial correlations, trends, and periodical components. Considering the results obtained using these three statistical methods, it was possible to assume the hypothesis that this temporal series is free from persistence, trends, and periodicals components. Based on quantitative and qualitative adhesion tests, it was found that the GEV may be used in order to quantify the probabilities of the Preabs data. The best results of GEV were obtained when the parameters of this function were estimated using the method of maximum likelihood. The method of L-moments has also shown satisfactory results.

Mathematical analysis of maximum power generated by photovoltaic systems and fitting curves for standard test conditions

The rural electrification is characterized by geographical dispersion of the population, low consumption, high investment by consumers and high cost. Moreover, solar radiation constitutes an inexhaustible source of energy and in its conversion into electricity photovoltaic panels are used. In this study, equations were adjusted to field conditions presented by the manufacturer for current and power of small photovoltaic systems. The mathematical analysis was performed on the photovoltaic rural system I-100 from ISOFOTON, with power 300 Wp, located at the Experimental Farm Lageado of FCA/UNESP. For the development of such equations, the circuitry of photovoltaic cells has been studied to apply iterative numerical methods for the determination of electrical parameters and possible errors in the appropriate equations in the literature to reality. Therefore, a simulation of a photovoltaic panel was proposed through mathematical equations that were adjusted according to the data of local radiation. The results have presented equations that provide real answers to the user and may assist in the design of these systems, once calculated that the maximum power limit ensures a supply of energy generated. This real sizing helps establishing the possible applications of solar energy to the rural producer and informing the real possibilities of generating electricity from the sun.

Spatial variability of air dry bulb temperature and black globe humidity index in a broiler house during the heating phase

The air dry-bulb temperature (t db),as well as the black globe humidity index (BGHI), exert great influence on the development of broiler chickens during their heating phase. Therefore, the aim of this study was to analyze the structure and the magnitude of the t db and BGHI spatial variability, using geostatistics tools such as semivariogram analysis and also producing kriging maps. The experiment was conducted in the west mesoregion of the states of Minas Gerais in 2010, in a commercial broiler house with heating system consisting of two furnaces that heat the air indirectly, in the firsts 14 days of the birds' life. The data were registered at intervals of five minutes in the period from 8 a.m. to 10 a.m. The variables were evaluated by variograms fitted by residual maximum likelihood (REML) testing the Spherical and Exponential models. Kriging maps were generated based on the best model used to fit the variogram. It was possible to characterize the variability of the t db and BGHI, which allowed observing the spatial dependence by using geostatistics techniques. In addition, the use of geostatistics and distribution maps made possible to identify problems in the heating system in regions inside the broiler house that may harm the development of chicks.

Mapping of use and occupation of the soil and irrigation water quality in the city of Salto do Lontra-Paraná, Brazil

The objective of this study consisted on mapping the use and soil occupation and evaluation of the quality of irrigation water used in Salto do Lontra, in the state of Paraná, Brazil. Images of the satellite SPOT-5 were used to perform the supervised classification of the Maximum Likelihood algorithm - MAXVER, and the water quality parameters analyzed were pH, EC, HCO3-, Cl-, PO4(3-), NO3-, turbidity, temperature and thermotolerant coliforms in two distinct rainfall periods. The water quality data were subjected to statistical analysis by the techniques of PCA and FA, to identify the most relevant variables in assessing the quality of irrigation water. The characterization of soil use and occupation by the classifier MAXVER allowed the identification of the following classes: crops, bare soil/stubble, forests and urban area. The PCA technique applied to irrigation water quality data explained 53.27% of the variation in water quality among the sampled points. Nitrate, thermotolerant coliforms, temperature, electrical conductivity and bicarbonate were the parameters that best explained the spatial variation of water quality.

Geostatistics and remote sensing methods in the classification of images of areas cultivated with citrus

This study compares the precision of three image classification methods, two of remote sensing and one of geostatistics applied to areas cultivated with citrus. The 5,296.52ha area of study is located in the city of Araraquara - central region of the state of São Paulo (SP), Brazil. The multispectral image from the CCD/CBERS-2B satellite was acquired in 2009 and processed through the Geographic Information System (GIS) SPRING. Three classification methods were used, one unsupervised (Cluster), and two supervised (Indicator Kriging/IK and Maximum Likelihood/Maxver), in addition to the screen classification taken as field checking.. Reliability of classifications was evaluated by Kappa index. In accordance with the Kappa index, the Indicator kriging method obtained the highest degree of reliability for bands 2 and 4. Moreover the Cluster method applied to band 2 (green) was the best quality classification between all the methods. Indicator Kriging was the classifier that presented the citrus total area closest to the field check estimated by -3.01%, whereas Maxver overestimated the total citrus area by 42.94%.

Method adjustment and equation set of maximum rainfall intensity, duration and frequency in the Mato Grosso do Sul State

Due to the lack of information concerning maximum rainfall equations for most locations in Mato Grosso do Sul State, the alternative for carrying out hydraulic work projects has been information from meteorological stations closest to the location in which the project is carried out. Alternative methods, such as 24 hours rain disaggregation method from rainfall data due to greater availability of stations and longer observations can work. Based on this approach, the objective of this study was to estimate maximum rainfall equations for Mato Grosso do Sul State by adjusting the 24 hours rain disaggregation method, depending on data obtained from rain gauge stations from Dourado and Campo Grande. For this purpose, data consisting of 105 rainfall stations were used, which are available in the ANA (Water Resources Management National Agency) database. Based on the results we concluded: the intense rainfall equations obtained by pluviogram analysis showed determination coefficient above 99%; and the performance of 24 hours rain disaggregation method was classified as excellent, based on relative average error WILMOTT concordance index (1982).

Climate trends in the municipality of Pelotas, state of Rio Grande do Sul, Brazil

ABSTRACTChanges in the frequency of occurrence of extreme weather events have been pointed out as a likely impact of global warming. In this context, this study aimed to detect climate change in series of extreme minimum and maximum air temperature of Pelotas, State of Rio Grande do Sul, (1896 - 2011) and its influence on the probability of occurrence of these variables. We used the general extreme value distribution (GEV) in its stationary and non-stationary forms. In the latter case, GEV parameters are variable over time. On the basis of goodness-of-fit tests and of the maximum likelihood method, the GEV model in which the location parameter increases over time presents the best fit of the daily minimum air temperature series. Such result describes a significant increase in the mean values of this variable, which indicates a potential reduction in the frequency of frosts. The daily maximum air temperature series is also described by a non-stationary model, whose location parameter decreases over time, and the scale parameter related to sample variance rises between the beginning and end of the series. This result indicates a drop in the mean of daily maximum air temperature values and increased dispersion of the sample data.

Pseudo-aneurisma gigante de artéria axilar esquerda

A case of a gunshot of the left axilary artery with a giant pseudoaneurism formation with sixteen years of evolution is presented. The 61- years-old male patient present since them a small assintomatic tumoration in infraclavicular localization. In the last eight months the tumor became symptomatic and volumous, reaching 20 cm in diameter, with signals of infection and imminent rupture. The patient was operated on with ligature of the axilary artery and evacuation of the pseudoaneurysm. The surgical handling and endovascular therapeutic options available in the present time are discussed. A short review about the disease as well as a bibliographic update are present. The authors also call attention for the necessity of a correct management of the vascular injures in the event of the first management.

Pseudo-aneurisma arterial pós-transplante renal

Vascular complications after kidney transplantation have been described and pseudoaneurysms represent a well-recognized vascular complication. Although the incidence of pseudoaneurysm is low, it may potentially cause graft loss or may even be fatal for the patients if it is not diagnosed and treated quickly. The authors report a case of renal artery pseudoaneurysm diagnosed two months posttransplantation with cadaveric graft, the treatment and literature data.