A gestão de estoques em sistemas produtivos Engineering-To-Order e Make-To-Stock: estudo de casos em empresas do setor gráfico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

XML na ciência da informação: uma análise do MARC21

Pós-graduação em Ciência da Informação - FFC

Determinantes sóciocomportamentais da cárie precoce da infância, em bebês e crianças de 0 a 6 anos de idade

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

Competitividade e território: uma análise do arranjo produtivo local potencial de cerâmica artística do município de Porto Ferreira - SP

Pós-graduação em Geografia - IGCE

Avaliação da qualidade da atenção básica no município de Bauru: desafios para um processo de mudança

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Política pública de saúde: a atenção básica de detecção precoce e prevenção do câncer

Pós-graduação em Serviço Social - FCHS

Análise de riscos: um modelo de assinatura de risco voltada para segurança da informação

Pós-graduação em Ciência da Computação - IBILCE

Utilização de procedimentos multivariados na produtividade agrícola e climatica na região sudeste do Estado de Mato Grosso

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Aplicativo computacional para obtenção de probabilidades a priori de classificação errônea em experimentos agronômicos

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

Análise genética de resistência ao Rhipicephalus (Boophilus) microplus em bovinos cruzados Hereford x Nelore

Pós-graduação em Genética e Melhoramento Animal - FCAV

Análise socioambiental da cidade de Juazeiro do Norte: subsídios para a construção da Agenda 21 local

Pós-graduação em Geografia - IGCE

Gestão da informação e do conhecimento na Rede CEDES (2003 - 2010)

Pós-graduação em Ciências da Motricidade - IBRC

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.

Cluster and meta-analyses of genetic parameters for feed intake traits in growing beef cattle

A data set based on 50 studies including feed intake and utilization traits was used to perform a meta-analysis to obtain pooled estimates using the variance between studies of genetic parameters for average daily gain (ADG); residual feed intake (RFI); metabolic body weight (MBW); feed conversion ratio (FCR); and daily dry matter intake (DMI) in beef cattle. The total data set included 128 heritability and 122 genetic correlation estimates published in the literature from 1961 to 2012. The meta-analysis was performed using a random effects model where the restricted maximum likelihood estimator was used to evaluate variances among clusters. Also, a meta-analysis using the method of cluster analysis was used to group the heritability estimates. Two clusters were obtained for each trait by different variables. It was observed, for all traits, that the heterogeneity of variance was significant between clusters and studies for genetic correlation estimates. The pooled estimates, adding the variance between clusters, for direct heritability estimates for ADG, DMI, RFI, MBW and FCR were 0.32 +/- 0.04, 0.39 +/- 0.03, 0.31 +/- 0.02, 0.31 +/- 0.03 and 0.26 +/- 0.03, respectively. Pooled genetic correlation estimates ranged from -0.15 to 0.67 among ADG, DMI, RFI, MBW and FCR. These pooled estimates of genetic parameters could be used to solve genetic prediction equations in populations where data is insufficient for variance component estimation. Cluster analysis is recommended as a statistical procedure to combine results from different studies to account for heterogeneity.

Multivariate analysis of the temporal variability of sugarcane ripening in south-eastern Brazil

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)