925 resultados para probabilistic principal component analysis (probabilistic PCA)
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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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Pós-graduação em Agronomia (Ciência do Solo) - FCAV
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Brazilian wines are appreciated by consumers for having fruity odor and taste which are typical from Vitis labrusca cultivars. The rusticity of these cultivars, the winemaking and the physicochemical properties are some of the key factors to obtain a quality beverage. In this context, the aim of this article was to analyze the quality of three white wines from wineries located in northwest region of São Paulo state by determining physicochemical properties and sensory profile. Data were analyzed by statistical tests and by Principal Component Analysis (PCA). It was possible to observe statistical differences (P<0,05) in most physicochemical properties. Furthermore, the PCA showed that the attributes body and color significantly explained the variance of the first and second component, respectively, higlighting the Vitis vinifera wine. Thus the connection between the physicochemical and sensory properties of white wines was important for characterization of these beverages produced in the northwest of São Paulo.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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The knowledge of the structure characteristic of the Organic Matter is important for the understanding of the natural process. In this context aquatic humic substances (principal fraction) were isolated from water sample collected from the two distinct rivers, using procedure recommended for International Humic Substances Society and characterized by elemental analysis, electron paramagnetic resonance and nuclear magnetic resonance (13C NMR). The results were interpreted using principal component analysis (PCA) and the statistical analyses showed different in the structural characteristics of the aquatic humic substances studied.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Pós-graduação em Ciências Ambientais - Sorocaba
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Pós-graduação em Ciência Animal - FMVA
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Pós-graduação em Agronomia (Ciência do Solo) - FCAV
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The present study was developed in two streams from the two different drainage basins located in the mid-southern region of Paraná state. In each stream were evaluated some physical and chemical parameters in open (without streamside vegetation) and shaded (with streamside vegetation) segments. Monthly samplings were carried out from January to December 2007. The following limnological parameters were measured: water temperature, specific conductance, oxygen saturation, pH, turbidity and current velocity. In the same stream were not observed differences among segments from the drainage basins, and nominal values and seasonal pattern have been very similar between open and shaded ambient. A Principal Component Analysis (PCA) showed small divergence between streams and segments, with separation of groups with base sampling dates. The results suggest that the region is homogeneous according to physical and chemical water conditions, therefore, stronger influenced for time factor, and diverging seasonal periods associated a climatic region condition.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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The slick hair coat (SLICK) is a dominantly inherited trait typically associated with tropically adapted cattle that are from Criollo descent through Spanish colonization of cattle into the New World. The trait is of interest relative to climate change, due to its association with improved thermo-tolerance and subsequent increased productivity. Previous studies localized the SLICK locus to a 4 cM region on chromosome (BTA) 20 and identified signatures of selection in this region derived from Senepol cattle. The current study compares three slick-haired Criollo-derived breeds including Senepol, Carora, and Romosinuano and three additional slick-haired cross-bred lineages to non-slick ancestral breeds. Genome-wide association (GWA), haplotype analysis, signatures of selection, runs of homozygosity (ROH), and identity by state (IBS) calculations were used to identify a 0.8 Mb (37.7-38.5 Mb) consensus region for the SLICK locus on BTA20 in which contains SKP2 and SPEF2 as possible candidate genes. Three specific haplotype patterns are identified in slick individuals, all with zero frequency in non-slick individuals. Admixture analysis identified common genetic patterns between the three slick breeds at the SLICK locus. Principal component analysis (PCA) and admixture results show Senepol and Romosinuano sharing a higher degree of genetic similarity to one another with a much lesser degree of similarity to Carora. Variation in GWA, haplotype analysis, and IBS calculations with accompanying population structure information supports potentially two mutations, one common to Senepol and Romosinuano and another in Carora, effecting genes contained within our refined location for the SLICK locus.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)