Ecological distribution and population structure of Acantholobulus schmitti (Rathbun, 1930) (Crustacea, Decapoda, Xanthoidea) on the southeastern Brazilian coast

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

Determinação de Cd, Pb e Cu em particulados atmosféricos da região de Presidente Prudente por análise voltamétrica utilizando eletrodo de mercúrio

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Determinação de 'SB' e 'PB' em embalagens de poli(tereftalato) de etileno (PET) por espectrometria de absorção atômica com fonte contínua e de alta resolução em forno de grafite empregando amostragem direta de sólidos

Pós-graduação em Química - IQ

Arranjo de plantas, características agronômicas e produtividade de soja

Pós-graduação em Agronomia (Agricultura) - FCA

Aspectos fisiológicos e produtividade de genótipos de mamona de porte baixo influenciados por densidades de plantas

Pós-graduação em Agronomia (Agricultura) - FCA

Análise da dinâmica de preços entre os mercados futuros de grão, farelo e óleo de soja na China e Estados Unidos

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Influência de diferentes misturas em tanque contendo o herbicida 2,4-D no espectro de gotas da aplicação

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Controle biológico de thaumastocoris peregrinus (Hemiptera: thaumastocoridae) com fungos entomopatogênicos

Pós-graduação em Agronomia (Proteção de Plantas) - FCA

Prevalence of Diabetes and Diabetic Retinopathy in a Brazilian Population

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

Global optimization using a genetic algorithm with hierarchically structured population

This paper applies a genetic algorithm with hierarchically structured population to solve unconstrained optimization problems. The population has individuals distributed in several overlapping clusters, each one with a leader and a variable number of support individuals. The hierarchy establishes that leaders must be fitter than its supporters with the topological organization of the clusters following a tree. Computational tests evaluate different population structures, population sizes and crossover operators for better algorithm performance. A set of known benchmark test problems is solved and the results found are compared with those obtained from other methods described in the literature, namely, two genetic algorithms, a simulated annealing, a differential evolution and a particle swarm optimization. The results indicate that the method employed is capable of achieving better performance than the previous approaches in regard as the two criteria usually employed for comparisons: the number of function evaluations and rate of success. The method also has a superior performance if the number of problems solved is taken into account. (C) 2013 Elsevier B.V. All rights reserved.

Thermal and structural study of glasses in the binary system TeO2-Pb(PO3)(2)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Population Parameters Based on Known Pedigree Records from Brazilian Jaffarabadi Buffaloes

The objective of this study was to evaluate the effective number of founders and ancestors, generation intervals and completeness of pedigree in Jaffarabadi breed buffaloes raised in Brazil. Pedigree records of 1,272 animals born from 1966 were used. The parameters were estimated using ENDOG, computational population genetic software. The obtained value for completeness of pedigree was 99.5, 50.9, and 20.5 for, the first, second and third generations, respectively. Generation interval estimates expressed in years and considering different pathways were 12.28 +/- 6.90 (sire-son), 11.55 +/- 6.07 (sire-daughter), 8.20 +/- 2.63 (dam-son) and 8.794 +/-.33 (dam-daughter). The overall average generation interval was 10.17 +/- 5.43 years. The number of founders, equivalent founders and ancestor animals that contributed for the genetic diversity in the reference population (1059) were 136, 130 and 134, respectively. Effective number of founder (f(e)=8) and ancestors (f(a)=7) were small, and the calculated expected inbreeding increase per generation was 4.99%. Four ancestors explained 50% of the genetic variability in the population and the major ancestor contributed with approximately 33% of the total population genetic variation. The genetic diversity within the current population is low as a consequence of a reduced number of ancestors.

Population Dynamics of Lepidoptera Pests in Eucalyptus urophylla Plantations in the Brazilian Amazonia

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Population Structure and Pathotype Diversity of the Wheat Blast Pathogen Magnaporthe oryzae 25 Years After Its Emergence in Brazil

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)