Good agricultural practices in an association of familiar coffee producers by means of clusters analysis
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Coffee Science (Online) |
Texto Completo: | https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1197 |
Resumo: | Familiar farmers have attended to quality and differentiation requirements to achieve markets with higher values. The certification is a management tool that may be required in this context. The rules of certification are based on principles of Good Agricultural Practices. The aim in this study was characterize the good agricultural practices used in the coffee production by coffee producers of Association of Familiar Agriculturists of Santo Antonio do Amparo (AFASA), in Minas Gerais State, by means of Cluster analysis. The research was performed through a survey type structured questionnaire, which was answered by all Association members. The original questionnaire of the research was separated into two parts. However, in this study was used only the second part, which has 104 variables distributed in a rating scale: 1, “not applicable in the property”, 2, “not have or not carried out”, 3, “sometimes or partially”, 4, “always, or yes” in relation to practices done in the property. The data were tabulated and analyzed by SPSS software. It was calculated the cluster multivariate analysis, which has as objective to group the individuals (cases) with similar characteristics in function of a set of selected variables that separated, in this case, the producers in two different groups. In this study was discussed the variables that present significant differences higher than p< 0,05 by the test Qui-Square of Pearson between two groups of farmers. The farmers of group 2 exhibited characteristic of higher organization in relation to principles of Good Agricultural Practices. |
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Good agricultural practices in an association of familiar coffee producers by means of clusters analysisEstudo sobre boas práticas agrícolas em uma associação de cafeicultores familiares por meio da análise de clustersSustainabilitytechnical assistancegood practices agriculturalcoffee productionSustentabilidadeboas práticas agrícolascertificaçãocafeiculturaFamiliar farmers have attended to quality and differentiation requirements to achieve markets with higher values. The certification is a management tool that may be required in this context. The rules of certification are based on principles of Good Agricultural Practices. The aim in this study was characterize the good agricultural practices used in the coffee production by coffee producers of Association of Familiar Agriculturists of Santo Antonio do Amparo (AFASA), in Minas Gerais State, by means of Cluster analysis. The research was performed through a survey type structured questionnaire, which was answered by all Association members. The original questionnaire of the research was separated into two parts. However, in this study was used only the second part, which has 104 variables distributed in a rating scale: 1, “not applicable in the property”, 2, “not have or not carried out”, 3, “sometimes or partially”, 4, “always, or yes” in relation to practices done in the property. The data were tabulated and analyzed by SPSS software. It was calculated the cluster multivariate analysis, which has as objective to group the individuals (cases) with similar characteristics in function of a set of selected variables that separated, in this case, the producers in two different groups. In this study was discussed the variables that present significant differences higher than p< 0,05 by the test Qui-Square of Pearson between two groups of farmers. The farmers of group 2 exhibited characteristic of higher organization in relation to principles of Good Agricultural Practices.Para acessar mercados de maior valor, faz-se necessário que os agricultores familiares atendam às exigências de qualidade e diferenciação sendo a certificação uma ferramenta de gestão que pode ser exigida neste contexto. As normas de certificação são baseadas nos princípios das boas práticas agrícolas. O objetivo neste estudo foi caracterizar as boas práticas agrícolas utilizadas para a produção de café pelos produtores da Associação de Agricultores Familiares (AFASA) em Santo Antônio do Amparo, MG, por meio da análise de Clusters. A pesquisa foi realizada por meio de um questionário estruturado do tipo survey, respondido por todos os membros da Associação. O questionário original da pesquisa foi dividido em duas partes. No entanto, para esta pesquisa foi utilizada apenas a segunda parte, que continha 104 variáveis em uma escala de pontos: 1, “não se aplica na propriedade”, 2, “não possuo ou não realizo”, 3, “de vez em quando ou parcialmente”, 4, “sempre, ou sim” em relação à realização das práticas agrícolas adotadas na propriedade. Os dados foram tabulados e analisados pelo software SPSS. Foi realizada a análise estatística multivariada de cluster; técnica que objetiva agrupar os indivíduos (casos) com características semelhantes em função de um conjunto de variáveis selecionadas que separou, neste caso, os produtores em dois grupos distintos. Neste artigo foram discutidas as variáveis da segunda parte do questionário que apresentaram diferenças significativas maiores que p< 0,05 pelo teste de Qui-quadrado de Pearson entre os dois grupos de produtores. Os produtores do grupo 2 apresentaram características de maior organização diante dos princípios das BPA’s.Editora UFLA2017-03-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/vnd.openxmlformats-officedocument.wordprocessingml.documentapplication/vnd.openxmlformats-officedocument.wordprocessingml.documentapplication/vnd.openxmlformats-officedocument.wordprocessingml.documentapplication/vnd.openxmlformats-officedocument.wordprocessingml.documentimage/jpegimage/jpeghttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/1197Coffee Science - ISSN 1984-3909; Vol. 12 No. 1 (2017); 49 - 59Coffee Science; Vol. 12 Núm. 1 (2017); 49 - 59Coffee Science; v. 12 n. 1 (2017); 49 - 591984-3909reponame:Coffee Science (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAporhttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/1197/pdf_1197https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1197/1685https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1197/1686https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1197/1687https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1197/1688https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1197/1689https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1197/1690Copyright (c) 2017 Coffee Science - ISSN 1984-3909https://creativecommons.org/info:eu-repo/semantics/openAccessRosa, Beatriz TerezinhaBorges, Luís Antônio CoimbraPereira, Sérgio ParreirasAntonialli, Luíz MarceloSouza, Sára Maria ChalfounBaliza, Danielle Pereira2017-03-30T16:15:17Zoai:coffeescience.ufla.br:article/1197Revistahttps://coffeescience.ufla.br/index.php/CoffeesciencePUBhttps://coffeescience.ufla.br/index.php/Coffeescience/oaicoffeescience@dag.ufla.br||coffeescience@dag.ufla.br|| alvaro-cozadi@hotmail.com1984-39091809-6875opendoar:2024-05-21T19:53:59.367632Coffee Science (Online) - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
Good agricultural practices in an association of familiar coffee producers by means of clusters analysis Estudo sobre boas práticas agrícolas em uma associação de cafeicultores familiares por meio da análise de clusters |
title |
Good agricultural practices in an association of familiar coffee producers by means of clusters analysis |
spellingShingle |
Good agricultural practices in an association of familiar coffee producers by means of clusters analysis Rosa, Beatriz Terezinha Sustainability technical assistance good practices agricultural coffee production Sustentabilidade boas práticas agrícolas certificação cafeicultura |
title_short |
Good agricultural practices in an association of familiar coffee producers by means of clusters analysis |
title_full |
Good agricultural practices in an association of familiar coffee producers by means of clusters analysis |
title_fullStr |
Good agricultural practices in an association of familiar coffee producers by means of clusters analysis |
title_full_unstemmed |
Good agricultural practices in an association of familiar coffee producers by means of clusters analysis |
title_sort |
Good agricultural practices in an association of familiar coffee producers by means of clusters analysis |
author |
Rosa, Beatriz Terezinha |
author_facet |
Rosa, Beatriz Terezinha Borges, Luís Antônio Coimbra Pereira, Sérgio Parreiras Antonialli, Luíz Marcelo Souza, Sára Maria Chalfoun Baliza, Danielle Pereira |
author_role |
author |
author2 |
Borges, Luís Antônio Coimbra Pereira, Sérgio Parreiras Antonialli, Luíz Marcelo Souza, Sára Maria Chalfoun Baliza, Danielle Pereira |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Rosa, Beatriz Terezinha Borges, Luís Antônio Coimbra Pereira, Sérgio Parreiras Antonialli, Luíz Marcelo Souza, Sára Maria Chalfoun Baliza, Danielle Pereira |
dc.subject.por.fl_str_mv |
Sustainability technical assistance good practices agricultural coffee production Sustentabilidade boas práticas agrícolas certificação cafeicultura |
topic |
Sustainability technical assistance good practices agricultural coffee production Sustentabilidade boas práticas agrícolas certificação cafeicultura |
description |
Familiar farmers have attended to quality and differentiation requirements to achieve markets with higher values. The certification is a management tool that may be required in this context. The rules of certification are based on principles of Good Agricultural Practices. The aim in this study was characterize the good agricultural practices used in the coffee production by coffee producers of Association of Familiar Agriculturists of Santo Antonio do Amparo (AFASA), in Minas Gerais State, by means of Cluster analysis. The research was performed through a survey type structured questionnaire, which was answered by all Association members. The original questionnaire of the research was separated into two parts. However, in this study was used only the second part, which has 104 variables distributed in a rating scale: 1, “not applicable in the property”, 2, “not have or not carried out”, 3, “sometimes or partially”, 4, “always, or yes” in relation to practices done in the property. The data were tabulated and analyzed by SPSS software. It was calculated the cluster multivariate analysis, which has as objective to group the individuals (cases) with similar characteristics in function of a set of selected variables that separated, in this case, the producers in two different groups. In this study was discussed the variables that present significant differences higher than p< 0,05 by the test Qui-Square of Pearson between two groups of farmers. The farmers of group 2 exhibited characteristic of higher organization in relation to principles of Good Agricultural Practices. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-03-30 |
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://coffeescience.ufla.br/index.php/Coffeescience/article/view/1197 |
url |
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1197 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1197/pdf_1197 https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1197/1685 https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1197/1686 https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1197/1687 https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1197/1688 https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1197/1689 https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1197/1690 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Coffee Science - ISSN 1984-3909 https://creativecommons.org/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Coffee Science - ISSN 1984-3909 https://creativecommons.org/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/vnd.openxmlformats-officedocument.wordprocessingml.document application/vnd.openxmlformats-officedocument.wordprocessingml.document application/vnd.openxmlformats-officedocument.wordprocessingml.document application/vnd.openxmlformats-officedocument.wordprocessingml.document image/jpeg image/jpeg |
dc.publisher.none.fl_str_mv |
Editora UFLA |
publisher.none.fl_str_mv |
Editora UFLA |
dc.source.none.fl_str_mv |
Coffee Science - ISSN 1984-3909; Vol. 12 No. 1 (2017); 49 - 59 Coffee Science; Vol. 12 Núm. 1 (2017); 49 - 59 Coffee Science; v. 12 n. 1 (2017); 49 - 59 1984-3909 reponame:Coffee Science (Online) instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Coffee Science (Online) |
collection |
Coffee Science (Online) |
repository.name.fl_str_mv |
Coffee Science (Online) - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
coffeescience@dag.ufla.br||coffeescience@dag.ufla.br|| alvaro-cozadi@hotmail.com |
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1799874920979628032 |