Substâncias húmicas aquáticas do Rio Negro-AM: influência da sazonalidade nas características estruturais, distribuição de carbono e capacidade de complexação por íons Hg(II) em função do tamanho molecular

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Composição faunística, ecologia e história natural de serpentes em uma região no sudoeste da Amazônia, Rondônia, Brasil

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Indicadores de avaliação de programas de pós-graduação no Brasil: uma análise multivariada na área de Matemática

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Discrimination of soybean seed lots by multivariate exploratory techniques

Physiological potential characterization of seed lots is usually performed by germination and vigor tests; however, the choice of a single test does not reflect such potential, once each test assesses seeds of differentiated mode. Multivariate techniques allow understanding structural dependence contained in each variable, as well as characterize groups of seed lots according to specific standards. The study aimed at evaluating variability among soybean seed lots and discriminate these lots by multivariate exploratory techniques as function of seed vigor. Experiment was performed with 20 soybean seed lots (10 lots cv. BRS Valiosa RR and 10 lots cv. M-SOY 7908 RR). Seed physiological potential was assessed by testing for: germination (standard, and under different water availability); vigor (accelerated aging and electrical conductivity); and field seedling emergence. Cluster analysis of seed lots, as well as Principal Component Analysis was performed using data obtained on all tests. Multivariate techniques allowed stratifying seed lots into two distinct groups. Principal Component Analysis showed that values obtained for variables: field seedling emergence, accelerated aging, and germination under different water availability were linked to BRS Valiosa RR; while to variables germination and electrical conductivity, were linked to M-SOY 7908 RR.

Progressive recovery of a tropical deforested stream community after a flash flood

AIM: In this study, we evaluated and compared community attributes from a tropical deforested stream, located in a pasture area, in a period before (PRED I) and three times after (POSD I, II, and III) a flash flood, in order to investigate the existence of temporal modifications in community structure that suggests return to conditions previous to the flash flood. METHODS: Biota samples included algae, macrophytes, macroinvertebrates, and fish assemblages. Changes in stream physical structure we also evaluated. Similarity of the aquatic biota between pre and post-disturbance periods was examined by exploratory ordination, known as Non-Metric Multidimensional Scaling associated with Cluster Analysis, using quantitative and presence/absence Bray-Curtis similarity coefficients. Presence and absence data were used for multivariate correlation analysis (Relate Analysis) in order to investigate taxonomic composition similarity of biota between pre and post-disturbance periods. RESULTS: Our results evidenced channel simplification and an expressive decrease in richness and abundance of all taxa right after the flood, followed by subsequent increases of these parameters in the next three samples, indicating trends towards stream community recovery. Bray-Curtis similarity coefficients evidenced a greater community structure disparity among the period right after the flood and the subsequent ones. Multivariate correlation analysis evidenced a greater correlation between macroinvertebrates and algae/macrophytes, demonstrating the narrow relation between their recolonization dynamics. CONCLUSIONS: Despite overall community structure tended to return to previous conditions, recolonization after the flood was much slower than that reported in literature. Finally, the remarkably high flood impact along with the slow recolonization could be a result of the historical presence of anthropic impacts in the region, such as siltation, riparian forest complete depletion, and habitat simplification, which magnified the effects of a natural disturbance.

Multivariate approach in the selection of superior soybean progeny which carry the RR gene

Efficiency in the use of genetic variability, whether existing or created, increases when properly explored and analysed. Incorporation of biotechnology into breeding programs has been the general practice. The challenge for the researcher is the constant development of new and improved cultivars. The aim of this experiment was to select progenies with superior characteristics, whether or not carriers of the RR gene, derived from bi-parental crosses in the soybean, with the help of multivariate techniques. The experiment was carried out in a family-type experimental design, including controls, during the agricultural year 2010/2011 and 2011/2012 in Jaboticabal in the Brazilian State of São Paulo. From the F3 generation, phenotypically superior plants were selected, which were evaluated for the following traits: number of days to flowering; number of days to maturity; height of first pod insertion; plant height at maturity; lodging; agronomic value; number of branches; number of pods per plant; 100-seed weight; number of seeds per plant; grain yield per plant. Given the results, it appears possible to select superior progeny by principal component analysis. Cluster analysis using the K-means method links progeny according to the most important characteristics in each group and identifies, by the Ward method and by means of a dendrogram, the structure of similarity and divergence between selected progeny. Both methods are effective in aiding progeny selection.

Estrutura das comunidades de macroalgas da bacia de drenagem do rio Cascavel, Estado do Paraná, Brasil

The drainage basin of Cascavel River is almost entirely within the urban perimeter of Guarapuava, Paraná State, Brazil. Seven stream segments were sampled in two seasons (summer and winter). We found 12 taxa of macroalgae with a dominance of Chlorophyta (seven taxa) followed by Cyanophyta (three taxa), Heterokontophyta and Rhodophyta (one taxon each). Richness, diversity, and evenness were higher during the winter while the abundance and dominance were higher in the summer. Among the microenvironmental characteristics, the current velocity was the only one that differed significantly between the periods. The regression analysis revealed that the richness of the substrate was responsible for the variation in richness, diversity, evenness, and dominance during the summer period. During the winter the current velocity was responsible for the variation of species diversity. A cluster analysis of macroalgal communities did not group points in the same temporal period. The Canonical Correspondence Analysis (CCA) showed that the segments were close to each other because of the occurrence of one or a few species in common. The patterns of spatial and temporal distribution of stream macroalgae seem to be strongly influenced by microhabitat characteristics at different scales.However, they aresupported by regional variables.

Abordagem multivariada, perfil composicional e construção de curva de calibração para predição do teor de óleo em Jatropha curcas L

Pós-graduação em Agronomia (Genética e Melhoramento de Plantas) - FCAV

Perfil geográfico multivariado da água consumida no município de Botucatu

Pós-graduação em Biometria - IBB

Desenvolvimento de néctar à base de mamão (Carica papaya L.) adicionado de inulina e oligofrutose

Pós-graduação em Engenharia e Ciência de Alimentos - IBILCE

Shading effects on community composition and food web structure of a deforested pasture stream: Evidences from a field experiment in Brazil

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

Longitudinal patterns of fish assemblages in mountain streams from tropical forest biome

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Divergência genética de cultivares de cana-de-açúcar quanto à resistência a Diatraea saccharalis

The objective was to evaluate the genetic diversity of cultivars in sugar cane for resistance to D. saccharalis. The experiment was carried out in the laboratory in completely randomized design with 11 treatments (one control and 10 treatments) in ten replications. The replications were made from artificial diets (food and refood) made with dry steam crushed from sugar cane cultivars stems, except for one of them considered standard diet. The cultivars used were: RB867515, RB855453, RB855536, CTC 15, CTC 9, SP80-1842, SP79-1011, SP89-1115, SP81-3250 and SP87-365. In the evaluation biological characteristics of the insect considered were: larval development (days), larval viability (%), pupal development (days), pupal weight (g), pupal viability (%), period of hatched larvae to adults emergence (days), total viability (%) and adults longevity without food (days). The generalized Mahalanobis distance (D-2) for the cluster analysis by the method of average linkage between groups (UPGMA) and Tocher's method optimization was determined. Four and five groups were formed, respectively, by the method of average linkage between groups (UPGMA) and Tocher's method optimization. We concluded that the cultivar CTC 15 standed out as highly susceptible to D. saccharalis, while the cultivar SP87-365 behaved as moderately resistant by antibiosis to D. saccharalis.

Genotype by environment interaction for post-weaning weight gain, scrotal circumference, and muscling score of composite beef cattle in different regions of Brazil

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

Defining functional urban regions in Bahia, Brazil, using roadway coverage and population density variables

The concept of Functional Urban Regions (FURs), also called Metropolitan Regions (MRs), is not simple. It is clear, though, that they are not simply a combination of adjacent municipalities or areas. Different methods can be used for their definition. However, especially in developing countries, the application of some methods is not possible, due to the unavailability of detailed data. Alternative approaches have been developed based on spatial analysis methods and using variables extracted from available data. The objective of this study is to compare the results of two spatial analysis methods exploring two variables: population density and an indicator of transport infrastructure supply. The first method regards Exploratory Spatial Data Analyses tools, which define uniform regions based on specific variables. The second method used the same variables and the spatial analysis technique available in the computer program SKATER - Spatial 'K'luster Analysis by Tree Edge Removal. Assuming that those classifications of regions with similar characteristics can be used for identifying potential FURS, the results of all analyses were compared with one another and with the 'official' MR. A combined approach was also considered for comparison, but none of the results match the existing MR boundaries, what challenges the official definitions. (C) 2014 Elsevier Ltd. All rights reserved.