27 resultados para multivariate methods

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


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

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A methodology to define favorable areas in petroleum and mineral exploration is applied, which consists in weighting the exploratory variables, in order to characterize their importance as exploration guides. The exploration data are spatially integrated in the selected area to establish the association between variables and deposits, and the relationships among distribution, topology, and indicator pattern of all variables. Two methods of statistical analysis were compared. The first one is the Weights of Evidence Modeling, a conditional probability approach (Agterberg, 1989a), and the second one is the Principal Components Analysis (Pan, 1993). In the conditional method, the favorability estimation is based on the probability of deposit and variable joint occurrence, with the weights being defined as natural logarithms of likelihood ratios. In the multivariate analysis, the cells which contain deposits are selected as control cells and the weights are determined by eigendecomposition, being represented by the coefficients of the eigenvector related to the system's largest eigenvalue. The two techniques of weighting and complementary procedures were tested on two case studies: 1. Recôncavo Basin, Northeast Brazil (for Petroleum) and 2. Itaiacoca Formation of Ribeira Belt, Southeast Brazil (for Pb-Zn Mississippi Valley Type deposits). The applied methodology proved to be easy to use and of great assistance to predict the favorability in large areas, particularly in the initial phase of exploration programs. © 1998 International Association for Mathematical Geology.

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Several Brazilian commercial gasoline physicochemical parameters, such as relative density, distillation curve (temperatures related to 10%, 50% and 90% of distilled volume, final boiling point and residue), octane numbers (motor and research octane number and anti-knock index), hydrocarbon compositions (olefins, aromatics and saturates) and anhydrous ethanol and benzene content was predicted from chromatographic profiles obtained by flame ionization detection (GC-FID) and using partial least square regression (PLS). GC-FID is a technique intensively used for fuel quality control due to its convenience, speed, accuracy and simplicity and its profiles are much easier to interpret and understand than results produced by other techniques. Another advantage is that it permits association with multivariate methods of analysis, such as PLS. The chromatogram profiles were recorded and used to deploy PLS models for each property. The standard error of prediction (SEP) has been the main parameter considered to select the "best model". Most of GC-FID-PLS results, when compared to those obtained by the Brazilian Government Petroleum, Natural Gas and Biofuels Agency - ANP Regulation 309 specification methods, were very good. In general, all PLS models developed in these work provide unbiased predictions with lows standard error of prediction and percentage average relative error (below 11.5 and 5.0, respectively). (C) 2007 Elsevier B.V. All rights reserved.

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The aim of this study to evaluate by means of quantitative traits, the genetic dissimilarity among sunflower cultivars in different locations, in addition to the agreement between the methods in order to extract lines for future crosses. There were eight sunflower hybrids grown in two locations in northwestern Rio Grande do Sul, mainly with soil type Oxisol. Multivariate methods were used to determine the genetic diversity, using the Mahalanobis distance. Although the different yield between locations and cultivars, methods of grouping agreed among them selves. To obtain segregating populations, regardless of location, the cultivate 'Olisun 5', demonstrated greater potential for hybridization, with major contributions through number of achenes per chapter and height of the insertion section.

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Dentre as plantas daninhas aquáticas imersas de maior importância nos reservatórios de usinas hidrelétricas e em represas de pequeno porte no Brasil, destacam-se as espécies Egeria densa e Egeria najas, cuja identificação pode ser difícil na fase vegetativa. O objetivo deste trabalho foi diferenciar cinco acessos de E. densa e três de E. najas, coletados nos reservatórios de Jupiá, Salto Grande, Três Irmãos, Promissão, Nova Avanhandava e Ibitinga, do complexo da Companhia Energética de São Paulo (CESP) do Estado de São Paulo, quanto às características anatômicas descritivas e quantitativas do limbo foliar, procurando-se obter melhor entendimento sobre as relações dessas estruturas anatômicas com a penetração e translocação de herbicidas, além de auxiliar na identificação de acessos suscetíveis e resistentes a determinado produto químico. Amostras do terço médio do limbo foram fixadas em FAA 50, cortadas transversalmente em micrótomo rotatório com 8 mm de espessura e coradas com azul-de-toluidina. Foi analisada a estrutura foliar e foram quantificados os caracteres anatômicos da nervura central (% epiderme das faces adaxial e abaxial, % feixe vascular e % parênquima) e da região situada entre a nervura e o bordo do limbo (% epiderme das faces adaxial e abaxial e espessura da folha). Os dados das variáveis quantitativas foram submetidos aos testes estatísticos multivariados de Análise de Agrupamento e Análise de Componentes Principais. Houve formação de três grupos principais: o primeiro foi constituído pelos três acessos de E. najas; o segundo, por quatro acessos de E. densa; e o terceiro, por apenas um acesso de E. densa. O caráter que mais contribuiu para a diferenciação entre os acessos foi a % feixe vascular da nervura central, seguido da % epiderme da face abaxial da nervura central e % epiderme das faces adaxial e abaxial da região entre a nervura e o bordo foliar. Concluiu-se que a utilização de caracteres anatômicos quantitativos permitiu auxiliar na diferenciação dos acessos e das espécies estudadas; entretanto, devem ser incrementados os estudos relacionando a estrutura anatômica com a resistência e suscetibilidade aos herbicidas.

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To determine the effects of the pre-slaughter showering on some meat quality parameters, the bacterial changes in the Longus colli muscle and the contamination of the meat surface at three different points of the slaughter line were studied. Sixteen Nelore steers were slaughtered in a commercial slaughterhouse. Eight animals were submitted to pre-slaughter showering; a control group of eight animals were slaughtered without showering. Aseptic samples were collected for evaluations in the muscle depth, in the anterior portion of Longus colli muscle, just before chilling. The swab method was used for sampling carcass surface right after dressing, before carcasse washing, and at the beginning of chilling. Longus colli muscle samples were used to determine bacteria total count, psychrotrophic count and Enterobacteriaceae count, after 5, 24 and 48 hours from slaughtering, and in carcass surface, bacteria total count and psychrotrophic count. Multivariate methods were used to evaluate bacterial data the use of pre-slaughter showering did not affect the bacteria total counts, in the deep tissue. A significant growth of psychrotrophic bacteria was detected in both treatments. No significant differences (P>.05) were found in bacteria total count and psychrotrophic count between treatments. Also, no differences (P>.05) were detected between counts taken at different momments at the kill floor: skinning, before carcasse washing, and at the cooler, before chilling.

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To determine the effects of the pre-slaughter showering on some meat quality parameters, the biochemical changes in the Longus colli muscle and the bleeding efficiency were studied. Thirty-six Nelore steers were slaughtered in a commercial slaughterhouse. Eighteen animals were submitted to pre-slaughter showering; a control group of eighteen animals were slaughtered without showering. Samples were collected for evaluations in the muscle depth, in the anterior portion of longus colli muscle,just before chilling. Bleeding efficiency was evaluated through the ratio of muscle haemoglobin/blood haemoglobin using blood samples taken five seconds after bleeding, and muscle sample taken before chilling. Longus colli muscle samples were also used to determine glycogen, glucose, pH and acidity, 5, 24 and 48 hours after slaughtering. Multivariate methods were used to evaluate biochemical data and the bleeding efficiency data analysis followed the randomized block design. Haemoglobin retained in the muscle and bleeding efficiency were not affected (P > .05) by pre-slaughter showering. The pre-slaughter showering did not affect (P > .05) the glycolysis. There was a significant effect of time in glycogen, glucose, pH and acidity, in the first 24 hours.

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The aim of this paper is to describe the patterns of associations between fish species and their distribution in lotic habitats at basin level. Samples were accomplished in 27 localities of Iguatemi river basin, distributed in four environments (Iguatemi river, Jogui river, Puitã river and streams). The presence/absence data of those species which occurred in 2 or more sites were submitted at multivariate methods with the aim to describe the major species associations. The species distribution was considered determinative in these communities (C-score = 17,33; P = 0,000), with significant difference among the studied environments (ANOSIM r = 0,082; P = 0,012), with verified difference between Iguatemi river and streams (P = 0,001) and also streams and Jogui river (P = 0,014). We verified a strong segregation among species from headstreams and more discharge river stretches or even larger streams.

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The correlation between vegetation patterns (species distribution and richness) and altitudinal variation has been widely reported for tropical forests, thereby providing theoretical basis for biodiversity conservation. However, this relationship may have been oversimplified, as many other factors may influence vegetation patterns, such as disturbances, topography and geographic distance. Considering these other factors, our primary question was: is there a vegetation pattern associated with substantial altitudinal variation (10-1,093 m a.s.l.) in the Atlantic Rainforest-a top hotspot for biodiversity conservation-and, if so, what are the main factors driving this pattern? We addressed this question by sampling 11 1-ha plots, applying multivariate methods, correlations and variance partitioning. The Restinga (forest on sandbanks along the coastal plains of Brazil) and a lowland area that was selectively logged 40 years ago were floristically isolated from the other plots. The maximum species richness (>200 spp. per hectare) occurred at approximately 350 m a.s.l. (submontane forest). Gaps, multiple stemmed trees, average elevation and the standard deviation of the slope significantly affected the vegetation pattern. Spatial proximity also influenced the vegetation pattern as a structuring environmental variable or via dispersal constraints. Our results clarify, for the first time, the key variables that drive species distribution and richness across a large altitudinal range within the Atlantic Rainforest. © 2013 Springer Science+Business Media Dordrecht.

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

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Two experiments with 25 maize commercial hybrids were carried out in a direct sowing system in Southern Brazil in the harvests of 2009/2010 and 2010/2011. Quantitative descriptors were used with the objective of determining the genetic divergence and the relative contributions of traits among hybrids for extraction of inbred lines. This study was carried out in Oxisol soil using a randomized block design with four replicates. Data were subjected to combined analysis of variance, and based on the multivariate analyses, Tocher and average linkage (UPGMA) cluster analyses, based on generalized distance of Mahalanobis, to quantify divergence in addition to Singh criterion to validate trait with the most contribution. The multivariate methods were consistent with each other, and the weight of 100 grains was the trait that contributed most to the divergence and had similar behavior in grain yield between hybrids in both years. Furthermore, this descriptor representing significant genetic variability for crossings and lines extraction to hybridization between BM 3061, ATL 200 and P 30B39 Y.

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