Uso de modelos lineares mistos na avaliação genética de escores visuais: estudo de simulação

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

Associação genética entre o perfil de ácidos graxos e outras características da carcaça e carne de bovinos da raça Nelore

Pós-graduação em Genética e Melhoramento Animal - FCAV

Ranking of Nellore animals in cattle championships: genetic parameters and correlations with production traits

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Contagem automatizada de veículos utilizando segmentação estatística

In this work was developed a program capable of performing automatic counting of vehicles on roads. The problem of counting vehicles is using expensive techniques for its realization, techniques which often involve manual counting or degradation of the pavement. The main motivation for this work was the importance that the vehicle counting represents to the Traffic Engineer, being essential to analyze the performance of the roads, allowing to measure the need for installation of traffic lights, roundabouts, access ways, among other means capable of ensuring a continuous flow and safe for vehicles. The main objective of this work was to apply a statistical segmentation technique recently developed, based on a nonparametric linear regression model, to solve the segmentation problem of the program counter. The development program was based on the creation of three major modules, one for the segmentation, another for the tracking and another for the recognition. For the development of the segmentation module, it was applied a statistical technique combined with the segmentation by background difference, in order to optimize the process. The tracking module was developed based on the use of Kalman filters and application of simple concepts of analytical geometry. To develop the recognition module, it was used Fourier descriptors and a neural network multilayer perceptron, trained by backpropagation. Besides the development of the modules, it was also developed a control logic capable of performing the interconnection among the modules, mainly based on a data structure called state. The analysis of the results was applied to the program counter and its component modules, and the individual analysis served as a means to establish the par ameter values of techniques used. The find result was positive, since the statistical segmentation technique proved to be very useful and the developed program was able to count the vehicles belonging to the three goal..

Áreas degradadas pela explotação de cassiterita: avaliação das condições dos agregados e atividades biológicas

Pós-graduação em Ciências Ambientais - Sorocaba

Seleção de progênies de Myracrodruon urundeuva (F.F. & M.F. Allemão) baseada em caracteres fenológicos e de crescimento para reconstituição de áreas de reserva legal

Pós-graduação em Agronomia - FEIS

Análise de pedigree e estimativas de parâmetros genéticos para características reprodutivas em bovinos da raça Brahman

Pós-graduação em Ciência e Tecnologia Animal - FEIS

Resposta individual à ingestão de treonina para suínos em fase de crescimento

Pós-graduação em Zootecnia - FCAV

Influence of genotype-environment interaction on the classification of Nellore bulls in Southern Brazil

The aim of this study was to assess the occurrence of genotype-environment interaction, as well as its effects on the magnitude of genetic parameters and the classification of Nellore breeding bulls for the trait adjusted weight at 205 days (W205) on Southern Brazil. The components of (co)variance were estimated by Bayesian inference, using a linear-linear animal model in a bi-trait analysis. The proposed model for the analyses considers as random the direct additive genetic and maternal effects and residual effects, and as fixed effects the contemporary groups, sex, season of birth and weighing, and calving age as covariable (linear and quadratic effects). The a posteriori mean estimates of the direct heritabilities for W205 in the three States varied from 0.24 in Paraná (PR) to 0.34 in Santa Catarina (SC). The estimates of maternal heritability varied from 0.23 in SC and Rio Grande do Sul (RS) to 0.28 in PR. The a posteriori mean distributions of the genetic correlation varied from 0.52 between SC and RS, to 0.84 between PR and RS, suggesting that the best breeding bulls in SC are not the same as in RS.

Associação genética de características de qualidade de carne e precocidade sexual em animais Nelore (Bos indicus)

Pós-graduação em Genética e Melhoramento Animal - FCAV

iCONVERT: an integrated device for the UV-assisted determination of H2S via mid-infrared gas sensors

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

Análise da pevalência da osteoporose e dos principais fatores associados á perda óssea em portadores de cirrose

Pós-graduação em Fisiopatologia em Clínica Médica - FMB

Própolis na dieta de abelhas Apis mellifera L. e seu efeito no sistema imune, expressão de genes após o desafio bacteriano e detoxificação frente ao agroquímico fipronil

Pós-graduação em Zootecnia - FMVZ

Simetria quiral: fótons, píons e núcleons

Pós-graduação em Física - IFT

Estudos de algumas correlações dos ovários com os corpos lúteos e o desenvolvimento fetal em fêmeas de bovinos nelore

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