scholarly journals A postura locomotora de Protolipterna ellipsodontoides Cifelli, 1983 (Mammalia: Litopterna: Protolipternidae) da Bacia de São José de Itaboraí, Rio de Janeiro (Paleoceno superior)

2007 ◽  
Vol 30 (1) ◽  
pp. 58-66
Author(s):  
Ana Carolina Fortes Bastos ◽  
Lílian Paglarelli Bergqvist
Keyword(s):  
Principal Component Analysis ◽  
Multivariate Analysis ◽  
Rio De Janeiro ◽  
Function Analysis ◽  
Principal Component ◽  
Postcranial Morphology ◽  
Foot Posture ◽  
Fissure Fill ◽  
Large Groups ◽  
Janeiro State

The Litopterna is a group of endemic South America ungulates that lived from Late Paleocene (Itaboraiense) to Late Pleistocene (Lujanense). The order is divided in two large groups based on dental features: the Bunolipterna, in which the Protolipternidae is placed, is composed by taxa with primitive bunodont teeth; and the Lopholipterna, grouping taxa with derived lophodont teeth. In both the postcranial morphology is derived and uniform since the early forms. The Itaborai Basin, located at São José district, Itaboraí city, Rio de Janeiro state, is filled with different kinds of limestones, cut vertically by fissure fill deposits, where most of the fossils were collected. Protolipterna ellipsodontoides was described in 1983 based on dental features, but later postcranial bones were associated to this species. The main goal of this article is to infer the foot posture of P. ellipsodontoides. The material studied consists of femora, astragali, calcanea and metatarsals III, comprising 165 bones. All fossils were deposited in the fossil mammal collection of Departamento Nacional da Produção Mineral, in Rio de Janeiro state, Brasil. The methodology employed consisted of 15 linear and curvilinear measurements, which were submitted to a multivariate analysis (Principal Component Analysis -PCA and Discriminant Function Analysis -DFA). The results suggested a digitigrade posture to P. ellipsodontoides. Other morphological features of the skeleton, associated with a digitigrades posture, are suggestive of a cursorial locomotion, but with probable saltatory habits.

scholarly journals Quality of Eucalyptus Wood Grown in Rio de Janeiro State for Bioenergy

2016 ◽  
Vol 23 (3) ◽  
pp. 435-442 ◽  
Author(s):  
Ananias Francisco Dias Júnior ◽  
Djailson Silva da Costa Júnior ◽  
Azarias Machado de Andrade ◽  
Elisabeth de Oliveira ◽  
Artur Queiroz Lana ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Rio De Janeiro ◽  
Energy Use ◽  
Pearson Correlation ◽  
Eucalyptus Grandis ◽  
Basic Density ◽  
Principal Component ◽  
Component Analysis ◽  
Eucalyptus Wood ◽  
Janeiro State

ABSTRACT This study aimed to evaluate the Eucalyptus grandis and Eucalyptus saligna, from production areas of Rio de Janeiro State, intended for energy use. The selection consisted of six trees per specie, at six years old. The wood samples had its basic density determined, then, was subjected to the pyrolysis process with 500 °C of final temperature. Charcoal, pyroligneous liquid and non-condensable gases yields were determined. In addition, the charcoal had its immediate analysis performed to determine the levels of volatiles matter, fixed carbon and ash content. Data were analyzed using descriptive statistics, Pearson correlation and principal component analysis. The correlation analysis and principal component analysis were effective to predict recommended species. Based on the results, the most recommended specie for energy purposes was the Eucalyptus grandis.

scholarly journals Phenotypic Variation in Freshwater Murrel,Channa punctatus(Bloch, 1793) from Northern and Eastern Regions of India Using Truss Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Ankur Kashyap ◽  
Madhu Awasthi ◽  
Mohammad Serajuddin
Keyword(s):  
Principal Component Analysis ◽  
Multivariate Analysis ◽  
Significant Variation ◽  
Function Analysis ◽  
Principal Component ◽  
Group Classification ◽  
Channa Punctatus ◽  
Morphometric Variation ◽  
Freshwater Murrel ◽  
Confidence Ellipses

Morphometric variation study was carried out using truss analysis in freshwater murrel,Channa punctatus(Bloch, 1793), to explore different phenotypic stocks ofC. punctatus.Significant variation in the morphometric analysis was observed using the truss network and multivariate analysis of the three subpopulations of freshwater murrel,C. punctatus, from the two different regions of India. Principal component analysis accounted for a total variation of 91.95% by the first three principal components. PC 1 represented the variation due to size and PC 2 and PC 3 represented variations due to shape. The 95% confidence ellipses depicted the clear isolation between the samples in scatter graph of PC 1 on PC 2. The combined groups plot (DF 1 on DF 2) based on discriminant function analysis (DFA) also validated the existence of three different subpopulations. In group classification using DFA, 100 percent of all the samples were correctly classified into their original subpopulation. These results support the existence of multiracial composition ofC. punctatusacross the different geographical isolated sites and, thus, these findings indicate the presence of three different phenotypic stocks ofC. punctatus.

scholarly journals Use of Highly Discriminating Morphological Characters and Isozymes in the Study of Spanish Chestnut Cultivars

2006 ◽  
Vol 131 (6) ◽  
pp. 770-779 ◽  
Author(s):  
Santiago Pereira-Lorenzo ◽  
María Belén Díaz-Hernández ◽  
Ana María Ramos-Cabrer
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Multivariate Analysis ◽  
Castanea Sativa ◽  
Principal Component ◽  
Market Value ◽  
Morphological Characters ◽  
Minor Importance ◽  
Breeding Programs ◽  
And Cluster Analysis

Morphological characters (six traits) and isozymes (four systems, five loci) were used to discriminate between Spanish chestnut cultivars (Castanea sativa Mill.) from the Iberian Peninsula. A total of 701 accessions (representing 168 local cultivars) were analyzed from collections made between 1989 and 2003 in the main chestnut growing areas: 31 were from Andalucía (12 cultivars), 293 from Asturias (65 cultivars), 25 from Castilla-León (nine cultivars), four from Extremadura (two cultivars) and 348 from Galicia (80 cultivars). Data were synthesized using multivariate analysis, principal component analysis, and cluster analysis. A total of 152 Spanish cultivars were verified: 58 cultivars of major importance and 94 of minor importance, of which 18 had high intracultivar variation. Thirty-seven cultivars were clustered into 14 synonymous groups. Six of these were from Galicia, one from Castilla-León (El Bierzo), four from Asturias, one from Asturias and Castilla-León (El Bierzo), and two from Asturias, Castilla-León (El Bierzo), and Galicia. The chestnut cultivars from Galicia and Asturias were undifferentiated in genetic terms, indicating that they are not genetically isolated. Overall, chestnut cultivars from southern Spain showed the least variation. Many (58%) of Spanish cultivars produced more than 100 nuts/kg; removing this low market-value character will be a high priority. The data obtained will be of use in chestnut breeding programs in Spain and elsewhere.

scholarly journals Inferência Exploratória de Dados Espaço-Temporal da Precipitação Pluviométrica no Nordeste Brasileiro

2020 ◽  
Vol 13 (5) ◽  
pp. 2019
Author(s):  
Jhon Lennon Bezerra da Silva ◽  
Geber Barbosa De Albuquerque Moura ◽  
Marcos Vinícios Da Silva ◽  
Roni Valter De Souza Guedes ◽  
Pabrício Marcos Oliveira Lopes ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Multivariate Analysis ◽  
Temporal Variability ◽  
Principal Component ◽  
Component Analysis ◽  
Northeastern Brazil ◽  
Annual Rainfall ◽  
Intermittent Rivers ◽  
Rainfall Patterns ◽  
Brazilian Northeast

A gestão eficiente dos recursos hídricos no Nordeste brasileiro torna-se fundamental diante do regime hidrológico dos rios intermitentes, dos quais muitos são extremamente críticos. Todavia estes dependem de um regime pluviométrico irregular, tanto em escala de tempo mensal quanto anual. Objetivou-se determinar a variabilidade espaço-temporal da precipitação pluviométrica total anual, averiguando-se, também, as regiões com padrões de precipitação semelhantes por técnicas de análise multivariada (clusters e componentes principais) no Nordeste do Brasil. Foram analisados dados de precipitação pluviométrica total anual, entre os anos de 1995 e 2016, de 37 diferentes estações meteorológicas do INMET, estas situadas nos limites territoriais dos nove estados do Nordeste brasileiro. A análise de clusters verificou a formação de quatro grupos distintos, com padrões semelhantes de precipitação nas regiões dentro dos grupos, conforme também observado na análise de componentes principais. A padronização e/ou variabilidade espaço-temporal da precipitação pluviométrica dos municípios analisados mostrou-se está intimamente associada as condições das estações do ano e anomalias climatológicas, aos fatores de uso e ocupação do solo, condições de altitude e relevo, tais quais favorecem na formação e estabilidade de chuvas menores ou maiores no Nordeste brasileiro. A análise multivariada de cluster e componentes principal identificaram padrões e semelhanças pluviométricas de grupos, nos diferentes estados do Nordeste do Brasil entre os anos de 1995 e 2016. Exploratory Inference of Spatial-Temporal Data of Rainfall in the Brazilian Northeast ABSTRACTThe efficient management of water resources in the Northeast of Brazil is essential in view of the hydrological regime of intermittent rivers, of which many are extremely critical, as they depend on an irregular rainfall regime, both on a monthly and annual time scale. The objective of this study was to determine the spatial and temporal variability of the annual total rainfall, also investigating the regions with similar rainfall patterns by multivariate analysis techniques (clusters and principal components) in Brazilian Northeast. Data from total annual rainfall between the years 1995 and 2016, of 37 different INMET weather stations were analyzed, located within the territorial limit of the nine states of Brazilian Northeast. Cluster analysis verified the formation of four distinct groups, with similar precipitation patterns in the regions within the groups as also observed in the principal component analysis. The pattern and/or spatial-temporal variability of rainfall in the municipalities analyzed was shown to be intimately associated with the conditions of the year and climatic anomalies stations, and the factors of land use and occupation, altitude and relief conditions, such as favoring the formation and stability of minor or major rain in the Brazilian Northeast. Multivariate cluster and principal component analysis identified rainfall patterns and similarities of groups, in the different states of Northeastern Brazil between the years 1995 and 2016.Keywords: multivariate analysis, climate change, semiarid, regional climate patterns.

Multivariate analysis applied to monthly rainfall over Rio de Janeiro state, Brazil

2016 ◽  
Vol 129 (5) ◽  
pp. 469-478 ◽  
Author(s):  
Thábata T. Brito ◽  
José F. Oliveira-Júnior ◽  
Gustavo B. Lyra ◽  
Givanildo Gois ◽  
Marcelo Zeri
Keyword(s):  
Multivariate Analysis ◽  
Rio De Janeiro ◽  
Monthly Rainfall ◽  
Janeiro State

scholarly journals Detection of Lard in Ink Extracted from Printed Food Packaging Using Fourier Transform Infrared Spectroscopy and Multivariate Analysis

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Syazwani Ramli ◽  
Rosnita A. Talib ◽  
Russly A. Rahman ◽  
Norhazlin Zainuddin ◽  
Siti Hajar Othman ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Multivariate Analysis ◽  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Ftir Spectroscopy ◽  
Food Packaging ◽  
Principal Component ◽  
Fourier Transform Infrared ◽  
Calibration Standards ◽  
Number Of Factors

Fourier transform infrared (FTIR) spectroscopy combined with chemometrics was utilised to discriminate the presence of lard in extracted ink of printed food packaging. Two spectral regions (full spectra, 3999–649 cm−1, and combination of two regions, 3110–2630 cm−1and 1940–649 cm−1) of lard, commercial gravure ink, and the blends of both were selected and used to develop a Soft Independent Modelling of Class Analogy (SIMCA) model. The score plots obtained from the Principal Component Analysis (PCA) revealed that the maximum number of factors (7 factors) was needed to explain 84% of the total variance. SIMCA was employed as the method to classify the samples into their specific groups.SiversusHiplots showed that the calibration standards can be classified as lard-containing standards. Sample 2 was deduced to have the highest possibility of containing lard, while only samples 5 and 7 cannot be classified as lard-containing samples. These results demonstrated that FTIR spectroscopy, when combined with multivariate analysis, can provide a rapid method with no excessive sample preparation to detect the presence of lard in ink of foodstuff packaging.

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