Multivariate analysis of Per capita availability of nutrients in 44 countries

Detalhes bibliográficos
Autor(a) principal: Curi, Paulo Roberto
Data de Publicação: 1992
Outros Autores: Terada, Lucia, Beckers, Patrick Johannes, Alves, Alexandre
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Agropecuária Brasileira (Online)
Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/3750
Resumo: The situation of the countries is studied based on the availability of the animal and vegetal nutrients (data published by FAO in 1988). Two multivariated statistical methods were used: Principal Components Analysis and Cluster Analysis. The study was applied to countries of all the continents, with 44 countries of the most different degrees of development. The first principal component was interpreted as a measure of the available animal nutrients, and the second principal component as a vegetal nutrient, wich made it possible the ordering of the countries. The most discriminating variables were the protein, calorie, riboflavin, fat and calcium of animal origin and the less ones were niacin, beta carotene, equivalent retinol and calorie of vegetal origin.
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spelling Multivariate analysis of Per capita availability of nutrients in 44 countriesAnálise multivariada da disponibilidade Per capita de nutrientes em 44 paísesprincipal Components Analysis; Cluster Analysis; nutrition; proteinsanálises de Componentes Principais e de Agrupamento; nutrição; proteínasThe situation of the countries is studied based on the availability of the animal and vegetal nutrients (data published by FAO in 1988). Two multivariated statistical methods were used: Principal Components Analysis and Cluster Analysis. The study was applied to countries of all the continents, with 44 countries of the most different degrees of development. The first principal component was interpreted as a measure of the available animal nutrients, and the second principal component as a vegetal nutrient, wich made it possible the ordering of the countries. The most discriminating variables were the protein, calorie, riboflavin, fat and calcium of animal origin and the less ones were niacin, beta carotene, equivalent retinol and calorie of vegetal origin.Foi estudada a situação de países avaliados pela disponibilidade de nutrientes de origem animal e vegetal (dados publicados pela FAO, Anuário da Produção Agropecuária 1988), usando-se os métodos estatísticos multivariados de Análise de Componentes Principais e Análise de Agrupamento. O estudo foi efetuado com 44 países cujo critério de escolha foi o de incluir países com os mais variados graus de desenvolvimento e de todos os continentes. O primeiro componente principal foi interpretado como exprimido a disponibilidade de nutrientes de origem animal e o segundo componente principal, a disponibilidade de nutrientes de origem vegetal, o que permitiu a ordenação dos países para cada um destes componentes. As variáveis mais discriminatórias foram: proteína, caloria, riboflavina, lipídio e cálcio, todas de origem animal. As menos discriminatórias foram: niacina, beta caroteno, equivalente retinol e caloria, todas de origem vegetal.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraCuri, Paulo RobertoTerada, LuciaBeckers, Patrick JohannesAlves, Alexandre1992-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/3750Pesquisa Agropecuaria Brasileira; v.27, n.8, ago. 1992; 1123-1128Pesquisa Agropecuária Brasileira; v.27, n.8, ago. 1992; 1123-11281678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/3750/1041info:eu-repo/semantics/openAccess2011-08-23T13:32:06Zoai:ojs.seer.sct.embrapa.br:article/3750Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2011-08-23T13:32:06Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Multivariate analysis of Per capita availability of nutrients in 44 countries
Análise multivariada da disponibilidade Per capita de nutrientes em 44 países
title Multivariate analysis of Per capita availability of nutrients in 44 countries
spellingShingle Multivariate analysis of Per capita availability of nutrients in 44 countries
Curi, Paulo Roberto
principal Components Analysis; Cluster Analysis; nutrition; proteins
análises de Componentes Principais e de Agrupamento; nutrição; proteínas
title_short Multivariate analysis of Per capita availability of nutrients in 44 countries
title_full Multivariate analysis of Per capita availability of nutrients in 44 countries
title_fullStr Multivariate analysis of Per capita availability of nutrients in 44 countries
title_full_unstemmed Multivariate analysis of Per capita availability of nutrients in 44 countries
title_sort Multivariate analysis of Per capita availability of nutrients in 44 countries
author Curi, Paulo Roberto
author_facet Curi, Paulo Roberto
Terada, Lucia
Beckers, Patrick Johannes
Alves, Alexandre
author_role author
author2 Terada, Lucia
Beckers, Patrick Johannes
Alves, Alexandre
author2_role author
author
author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Curi, Paulo Roberto
Terada, Lucia
Beckers, Patrick Johannes
Alves, Alexandre
dc.subject.por.fl_str_mv principal Components Analysis; Cluster Analysis; nutrition; proteins
análises de Componentes Principais e de Agrupamento; nutrição; proteínas
topic principal Components Analysis; Cluster Analysis; nutrition; proteins
análises de Componentes Principais e de Agrupamento; nutrição; proteínas
description The situation of the countries is studied based on the availability of the animal and vegetal nutrients (data published by FAO in 1988). Two multivariated statistical methods were used: Principal Components Analysis and Cluster Analysis. The study was applied to countries of all the continents, with 44 countries of the most different degrees of development. The first principal component was interpreted as a measure of the available animal nutrients, and the second principal component as a vegetal nutrient, wich made it possible the ordering of the countries. The most discriminating variables were the protein, calorie, riboflavin, fat and calcium of animal origin and the less ones were niacin, beta carotene, equivalent retinol and calorie of vegetal origin.
publishDate 1992
dc.date.none.fl_str_mv 1992-08-01
dc.type.none.fl_str_mv
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/3750
url https://seer.sct.embrapa.br/index.php/pab/article/view/3750
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/3750/1041
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
dc.source.none.fl_str_mv Pesquisa Agropecuaria Brasileira; v.27, n.8, ago. 1992; 1123-1128
Pesquisa Agropecuária Brasileira; v.27, n.8, ago. 1992; 1123-1128
1678-3921
0100-104x
reponame:Pesquisa Agropecuária Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Agropecuária Brasileira (Online)
collection Pesquisa Agropecuária Brasileira (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pab@sct.embrapa.br || sct.pab@embrapa.br
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