11 resultados para Chave de identificação

em Repositório da Produção Científica e Intelectual da Unicamp


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This work is a floristic survey of arboreous and climbing shrub taxa of Papilionoideae in a semideciduos forest at Parque Estadual do Rio Doce, eastern Minas Gerais State. Field work was carried out from April/1998 to May/1999, when montly visits were conducted to collect botanical material along trails and of the main road. The floristic survey resulted in 22 taxa belonging to eight genera. An identification key, descriptions, illustrations and comments on the analyzed taxa are presented.

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In Myrocarpus, an exclusively South American genus, five species are recognised: Myrocarpus frondosus Allemão, M. leprosus Pickel, M. venezuelensis Rudd, M. fastigiatus Allemãoand M. emarginatus A.L.B. Sartori & A.M.G. Azevedo. Morphologic data, habitat information and geographic distribution of each taxon are discussed. Petal morphology and ornamentation of seed chamber are an important character for species identification, though not shown previously. Key to the species, descriptions, illustrations, distribution, and new registers are presented.

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Nectandra Rol. ex Rottb. has 14 species in Paraná: Nectandra angustifolia (Schrader) Nees & Mart., N. cissiflora Nees, N. cuspidata Nees & Mart., N. grandiflora Nees & Mart., N. hihua (Ruiz & Pav.) Rohwer, N. lanceolata Nees & Mart., N. leucantha Nees & Mart., N. megapotamica (Sprengel) Mez, N. membranacea (Sw.) Griseb., N. nitidula Nees & Mart., N. oppositifolia Nees & Mart., N. paranaensis Coe-Teixeira, N. puberula (Schott) Nees and N. reticulata (Ruiz & Pav.) Mez. We present an identification key and species descriptions, as well as illustrations and data on phenology and geographic distribution. N. hihua is cited for the first time in Paraná State.

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This revision of Leptolobium Vogel includes an identification key, descriptions, illustrations, and distribution maps for the taxa. Leptolobium comprises 12 species, and is characterized by its arboreal or shrubby habit, flowers with white, actinomorphic or slightly zygomorphic corollas, 10 free stamens, a stipitate ovary with many ovules, indehiscent (samara-like or nut-like) fruits, compressed seeds, and a bulbose hypocotyl-radicle axis. Leptolobium is a neotropical genus that occurs from Mexico to northern Argentina. Eleven species are found in Brazil, seven of which are endemic to the country. The lectotype of Sweetia glazioviana Harms is designated in this paper. In addition, information about uses, common names, geographical distribution, and habitats are provided.

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This work describes an overview of our synthesis of pteridic acids A and B and discloses some interesting results related to the lithium enolate-mediated aldol reaction used as key step to set up the C5-C15 fragment of these natural products. This first example, as far we know, of an aldol reaction between a chiral enolate of a (Z) enone and a chiral aldehyde has driven us to a series of experiments showing the remarkable relation between enolization selectivity and reaction conditions.

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Raman imaging spectroscopy is a highly useful analytical tool that provides spatial and spectral information on a sample. However, CCD detectors used in dispersive instruments present the drawback of being sensitive to cosmic rays, giving rise to spikes in Raman spectra. Spikes influence variance structures and must be removed prior to the use of multivariate techniques. A new algorithm for correction of spikes in Raman imaging was developed using an approach based on comparison of nearest neighbor pixels. The algorithm showed characteristics including simplicity, rapidity, selectivity and high quality in spike removal from hyperspectral images.

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The efficiency of swine production performance depends on the herd administration, such as good nutrition, sanitary control, facilities and appropriate environmental conditions. The concept of this production model is directly related with the reduction of selective losses and the process control. Each production segment is controlled to reach the optimization in the system totality, it is necessary to apply animals handling concepts, environmental control implementation, diseases control, nutrition control, information concerning in guaranteeing the animal welfare and individual identification. The present work presents as objective the development of the mathematical model to evaluate interactions among the internal atmosphere of the installation and the thermal animals preference, in the expectation of detecting a relationship among the frequency access to the drinking fountain and the atmosphere conditions - temperature, black globe temperature and relative humidity, using as tool the electronic identification. The results obtained by the mathematical model, allowed to conclude accurately the evaluation of the swine thermal preference correlating with the climatic variables in the pregnancy stage.

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Animal welfare has been an important research topic in animal production mainly in its ways of assessment. Vocalization is found to be an interesting tool for evaluating welfare as it provides data in a non-invasive way as well as it allows easy automation of process. The present research had as objective the implementation of an algorithm based on artificial neural network that had the potential of identifying vocalization related to welfare pattern indicatives. The research was done in two parts, the first was the development of the algorithm, and the second its validation with data from the field. Previous records allowed the development of the algorithm from behaviors observed in sows housed in farrowing cages. Matlab® software was used for implementing the network. It was selected a retropropagation gradient algorithm for training the network with the following stop criteria: maximum of 5,000 interactions or error quadratic addition smaller than 0.1. Validation was done with sows and piglets housed in commercial farm. Among the usual behaviors the ones that deserved enhancement were: the feed dispute at farrowing and the eventual risk of involuntary aggression between the piglets or between those and the sow. The algorithm was able to identify through the noise intensity the inherent risk situation of piglets welfare reduction.

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Universidade Estadual de Campinas . Faculdade de Educação Física

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Universidade Estadual de Campinas. Faculdade de Educação Física