Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 3
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
Analyzing distances AgEcon
Fenty, Justin.
Gower and Krzanowski (1999) described the analysis of a multivariate dataset that violated the assumptions of normality for multivariate analysis of variance. They developed a method comprising two aspects: a graphical representation of the points in a fewer number of dimensions, known as principal coordinate analysis; and a technique similar to MANOVA except that it was based on partitioning the distances between subjects, rather than sums of squares, and did not assume that the data followed any particular distribution. This article summarizes both aspects of their analysis and describes the Stata pco and aod commands, which perform principal coordinate analysis and analysis of distance.
Tipo: Journal Article Palavras-chave: Multivariate data; Principal coordinate analysis; Multidimensional scaling; Euclidean distance; Gower's general coefficient of similarity; Eigenvectors; Analysis of distance; MANOVA; Partitioning of squared distance; Randomization tests; Contrasts; Idempotent matrices; Research Methods/ Statistical Methods.
Ano: 2004 URL: http://purl.umn.edu/116209
Imagem não selecionada

Imprime registro no formato completo
Breeding potential and genetic diversity of "híbrido do timor" coffee evaluated by molecular markers. Repositório Alice
SETOTAW, T. A.; CAIXETA, E. T.; PENA, G F.; ZAMBOLIM, E. M.; PEREIRA, A. A..
AFLP, RAPD and SSR molecular markers were used to study the genetic diversity and genetic structure of the Híbrido de Timor germplasm. The principal coordinate analysis, UPGMA cluster analysis based on genetic dissimilarity of Jaccard, Bayesian model-based cluster analysis, percentage of polymorphic loci, Shannon?s information index and Nei gene diversity were employed to assess the genetic diversity. The analyses demonstrated a high genetic diversity among Híbrido de Timor accessions. UPGMA and Bayesian cluster analyses grouped the accessions into three clusters. The genetic structure of Híbrido de Timor is reported. The management of Híbrido de Timor germplasm variability and its potential use in breedin programs are discussed.
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Coffee breeding; DNA markers; Rust resistance; Bayesian analysis; Principal coordinate analysis.
Ano: 2010 URL: http://www.alice.cnptia.embrapa.br/handle/doc/880496
Imagem não selecionada

Imprime registro no formato completo
Historical knowledge, richness and relative representativeness of the avifauna of the largest native urban rainforest in the world Rev. Bras. Zool.
Tonetti,Vinicius R.; Rego,Marco A.; Luca,André C. De; Develey,Pedro F.; Schunck,Fábio; Silveira,Luís F..
ABSTRACT Stretching for more than 10,000 ha in the Metropolitan Area of São Paulo, southeastern Brazil, Serra da Cantareira comprises the largest native urban rainforest in the World, harboring a rich and diverse Atlantic Forest avifauna. Despite its closeness to major urban areas, few bird surveys have been conducted there. In this article we present an updated compilation of all bird species recorded for Serra da Cantareira, including personal records from the authors. A total of 326 species have been recorded for Serra da Cantareira since 1901; of these, nine have not been sighted there for the last two decades. The number of bird species endemic to the Atlantic Forest is high (80), and seven of its species are globally threatened. According to...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Atlantic Forest; Bird conservation; Hierarchical cluster analysis; Principal coordinate analysis; Serra da Cantareira.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1984-46702017000100309
Registros recuperados: 3
Primeira ... 1 ... Última
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional