Temperature and Scarification Effects on the Germination of Syagrus picrophylla Seeds, a Brazilian Native Palm

Syagrus picrophylla belongs to the Arecaceae family. Its propagation is made by seeds; however there is a lack of information in the literature about its seed germination. The objective of this work was to evaluate the effects of temperature and scarification on the germination of S. picrophylla seeds. The experiment was carried out at the State University of São Paulo, Jaboticabal Campus, Brazil. The experimental design was entirely randomized in a factorial arrangement 5 x 2 (five temperature conditions combined with or without mechanical scarification. The number of germinated seeds that showed primary root protrusion was noted daily, and when the germination was stabilized, the germination (%G) and germination rate (GR) were calculated. The analysis of variance (ANOVA) was carried out for means comparing by the Tukey test at 5% confidence level. It was concluded that the greatest %G were obtained at 20-30 degrees C (62%) and 25-35 degrees C (59%) alternated temperatures; %G and GR were similar for both scarified and non-scarified seeds, and there was a faster germination at 20-30 degrees C alternated temperature.

Substrate and Temperature Effects on the Germination of Dypsis leptocheilos (Hodel) Beentje & J. Dransf. (Arecaceae) Seeds

Dypsis leptocheilos is highly valued as an ornamental palm. Its propagation is done by seeds; however, there is little information about this process. The objective of this work was to study the substrate and temperature effects on the germination of D. leptocheilos seeds. The experiments were carried out at FCAV/UNESP, Campus of Jaboticabal, São Paulo State, Brazil. In order to study the substrate effects, four treatments were arranged (coconut fiber, sand, vermiculite and Plantmax (R)) at 30 degrees C. For the temperature effects, six treatments were performed (temperature at laboratory conditions (21.5 degrees C and 72% RU), 25 degrees C, 30 degrees C, 35 degrees C, 20-30 degrees C and 25-35 degrees C), having the coconut fiber as the substrate. The experimental design was completely randomized, with four replicates of 25 disseminules per plot (seeds with attached endocarp). Water replacement was managed to maintain 100% of the retention capacity of the substrates. The germination tests were observed every two days, and conducted over 148 days for the substrate effects, and over 152 days for the temperature effects, when no more seed germination was noted. In order to determine the germination percentage (% G) and the Germination Speed Index (GSI), the seed was considered germinated when the germinative button appeared. At the end of the experiments, leaf area (cm(2)), root and shoot length (cm), root and shoot dry mass (g) were also obtained. Statistical analysis was performed and means were compared by the Tukey test. Germination rate and speed in coconut fiber was higher at 25 and 30 degrees C. However, when other substrates were tested at 30 degrees C, the highest germination percentage was observed in vermiculite, which also sustained better results for the seed germination and for the characteristics related to shoots and roots.

Morphological Aspects and Storage of Dypsis leptocheilos (Hodel) Beentje & J. Dransf. (Arecaceae) Seeds

Dypsis leptocheilos (Hodel) Beentje & J. Dransf. palms are widely used in landscaping, however there is a lack of studies about its biology, especially on the morphology of its seedling disseminules and the ideal seed storage time without loss of viability. The objectives of this work were to describe the morphological aspects and to study the storage effect on the germination of D. leptocheilos seeds. The experiments were performed at FCAV/UNESP, Jaboticabal Campus, São Paulo State, Brazil. In order to obtain a morphology description 100 disseminules were sowed in vermiculite. The external and internal sides of the disseminules as well as the representative phases of the germination process were sketched with the help of a light chamber attached to a stereomicroscope. Five treatments were arranged in order to study the storage effects on the seeds (four months of storage and straight after harvest), with four replicates with 25 disseminules each (seeds with attached endocarp) in a completely randomized design. The germination test was conducted over a 140 days period and noted every two days. In order to calculate the germination percentage (% G) and the Germination Speed Index (GSI), the seeds were considered germinated when the germinative button appeared. The data were submitted to a polynomial regression analysis to verify the behavior of the variables over the storage period. The D. leptocheilos seeds have rounded shape, ruminate endosperm and hard consistency. The embryo is lateral, peripheral and relatively undifferentiated, with approximately 3 mm long and conical shape. The germination percentage increased from 17% for seeds sowed straight after harvest to 73% for those stored over a three-month period. For the GSI the increase was about 0.85%. It was concluded that the germination of D. leptocheilos is of an adjacent ligulate type. Furthermore, the seeds stored for 3 months at 14 degrees C showed both higher percentage and germination speed.

Cancer risk assessment of ethyl carbamate in alcoholic beverages from Brazil with special consideration to the spirits cachaca and tiquira

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

A machine learning approach for genome-wide prediction of morbid and druggable human genes based on systems-level data

Background: The genome-wide identification of both morbid genes, i.e., those genes whose mutations cause hereditary human diseases, and druggable genes, i.e., genes coding for proteins whose modulation by small molecules elicits phenotypic effects, requires experimental approaches that are time-consuming and laborious. Thus, a computational approach which could accurately predict such genes on a genome-wide scale would be invaluable for accelerating the pace of discovery of causal relationships between genes and diseases as well as the determination of druggability of gene products.Results: In this paper we propose a machine learning-based computational approach to predict morbid and druggable genes on a genome-wide scale. For this purpose, we constructed a decision tree-based meta-classifier and trained it on datasets containing, for each morbid and druggable gene, network topological features, tissue expression profile and subcellular localization data as learning attributes. This meta-classifier correctly recovered 65% of known morbid genes with a precision of 66% and correctly recovered 78% of known druggable genes with a precision of 75%. It was than used to assign morbidity and druggability scores to genes not known to be morbid and druggable and we showed a good match between these scores and literature data. Finally, we generated decision trees by training the J48 algorithm on the morbidity and druggability datasets to discover cellular rules for morbidity and druggability and, among the rules, we found that the number of regulating transcription factors and plasma membrane localization are the most important factors to morbidity and druggability, respectively.Conclusions: We were able to demonstrate that network topological features along with tissue expression profile and subcellular localization can reliably predict human morbid and druggable genes on a genome-wide scale. Moreover, by constructing decision trees based on these data, we could discover cellular rules governing morbidity and druggability.

Anchor Areas to Improve Conservation and Increase Connectivity within the Brazilian "Mesopotamia of Biodiversity"

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Coordinate and time-dependent diffusion dynamics in protein folding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Evaluation of seasonal dynamics and bioindication potential of macroalgal communities in a polluted tropical stream

Macroalgal communities and environmental variables were analyzed seasonally along a polluted tropical stream in São Paulo State, Brazil, We aimed to improve the knowledge of tropical macroalgal communities, to study the longitudinal and seasonal dynamics of these communities in influenced environments, to evaluate the relationship of algal frequency and abundance with selected environmental variables, and to look for potential macroalgal species indicators. The seasonal abundance pattern was similar to natural or low influenced systems and was mainly determined by rainfall regime. However, community composition was closely related to some chemical water pollution indicators, such as phosphorus and nitrogen compounds. Some species are suggested as potential indicators of organic pollution (e.g. Oscillatoria ornata, Stigeoclonium helveticum and Schizomeris leibleinii), but more detailed studies have to be developed to determine the tolerance limits of these species. on the basis of our results and literature data, the use of occurrence of Oscillatoriales in relation to other orders of Cyanoprokaryota is suggested to be a good indicator of organic pollution in tropical lotic ecosystems.

Ceramic materials in dentistry: historical evolution and current practice

Dental ceramics are presented within a simplifying framework allowing for facile understanding of their development, composition and indications. Engineering assessments of clinical function are dealt with and literature is reviewed on the clinical behaviour of all-ceramic systems. Practical aspects are presented regarding the choice and use of dental ceramics to maximize aesthetics and durability, emphasizing what we know and how we know it.

Spatial variability of soil attributes and sugarcane yield in relation to topographic location

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

Responses of aquatic insect functional diversity to landscape changes in Atlantic forest

The Atlantic Forest domain, one of the 25 world's hotspots for biodiversity, has experienced dramatic changes in its landscape. While the loss of species diversity is well documented, functional diversity has not received the same amount of attention. In this study, we evaluated functional diversity of insects in streams utilizing three indices: functional diversity (FD), functional dispersion (FDis), and functional divergence (FDiv), seeking to understand the roles of three predictor sets in explaining functional patterns: (1) bioclimatic and landscape variables; (2) spatial variables; and (3) local environmental variables. We determined the amount of variation in different measures of functional diversity that was explained by each predictor set and their interplays using variation partitioning. Our study showed that variation in functional diversity is better explained by a set of variables linked to different scales dependent on spatial structures, indicating the importance of landscape and mainly environmental variables in the functional organization of aquatic insect communities, and that the relative importance of predictor sets depends on the indices considered. Variation in FD was better explained by the interplay among the three predictor sets and by local environmental variables, whereas variation in FDis was better explained by spatial variables and by the interplay between environmental and spatial variables. Variation in FDiv was not significantly explained by any predictors. Our study adds more evidence on the harmful effects caused by landscape changes on biodiversity in the Atlantic Forest, suggesting that these effects also influence the functional organization of stream insect communities. © 2013 The Author(s) Journal compilation © 2013 by The Association for Tropical Biology and Conservation.

Arborização urbana: estudo das praças do bairro centro de Teresina

Pós-graduação em Geografia - IGCE

Euclid and his modern rivals (1879), Lewis Carrol: tradução e crítica

Pós-graduação em Educação para a Ciência - FC

Morfologia do relevo da porção sul do megaleque fluvial do Taquari, Pantanal da Nhecolândia, Brasil

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

A poesia de José Saramago: análise de Os poemas Possíveis, Provavelmente Alegria e O ano de 1993

Pós-graduação em Letras - FCLAS