Spatial distribution of coffee crop productivity in Minas Gerais over time
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Caderno de Ciências Agrárias (Online) |
Texto Completo: | https://periodicos.ufmg.br/index.php/ccaufmg/article/view/26171 |
Resumo: | Brazil is the world's largest coffee producer and the state of Minas Gerais is responsible for half of the Brazilian production. However, productivity is unevenly distributed throughout the state. Therefore, the purpose of this study is to analyze the spatial distribution of coffee productivity in Minas Gerais from 2002 to 2017, a valuable information to identify regions where coffee production may be more promising in the future. This paper investigates the existence of spatial dependence of productivity between regions (using Moran's I), its dynamics throughout the period and the presence of clusters of high and low productivity (using local Moran's I). The results show that the spatial dependence of productivity was stronger from 2002 to 2009 than between 2010 and 2017. Some regions with small coffee areas but high productivity have stopped producing the crop whereas some of those with large areas but low productivity increased their productivity levels. Therefore, there is a tendency of homogenization of productivity in Minas Gerais, with values close to 30 bags per hectare. |
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Spatial distribution of coffee crop productivity in Minas Gerais over timeDistribuição espacial da produtividade de café em Minas Gerais ao longo do tempoMoran’s ISpatial autocorrelationSpatial StatisticsAgronomyAutocorrelação espacialEstatística EspacialI de MoranAgronomiaBrazil is the world's largest coffee producer and the state of Minas Gerais is responsible for half of the Brazilian production. However, productivity is unevenly distributed throughout the state. Therefore, the purpose of this study is to analyze the spatial distribution of coffee productivity in Minas Gerais from 2002 to 2017, a valuable information to identify regions where coffee production may be more promising in the future. This paper investigates the existence of spatial dependence of productivity between regions (using Moran's I), its dynamics throughout the period and the presence of clusters of high and low productivity (using local Moran's I). The results show that the spatial dependence of productivity was stronger from 2002 to 2009 than between 2010 and 2017. Some regions with small coffee areas but high productivity have stopped producing the crop whereas some of those with large areas but low productivity increased their productivity levels. Therefore, there is a tendency of homogenization of productivity in Minas Gerais, with values close to 30 bags per hectare.O Brasil é o maior produtor mundial de café e o estado de Minas Gerais é responsável por metade da produção brasileira. Entretanto, a produtividade é distribuída de forma desigual no estado. Assim, o objetivo deste estudo é analisar a distribuição espacial da produtividade de café em Minas Gerais entre 2002 e 2017, uma informação valiosa para identificar regiões em que a produção de café possa ser mais promissora no futuro. O artigo em questão investiga a existência de dependência espacial na produtividade entre regiões (usando o I de Moran), a dinâmica ao longo do período estudado e a presença de agrupamentos de alta e baixa produtividade (usando o I de Moran local). Os resultados mostram que a dependência espacial era mais forte de 2002 a 2009 do que entre 2010 e 2017. Algumas regiões com pequenas áreas de plantio de café mas com alta produtividade deixaram de produzir enquanto regiões com grandes áreas mas baixa produtividade aumentaram seus níveis de produtividade. Assim, existe uma tendência de homogeneização da produtividade em Minas Gerais, com valores em torno de 30 sacas por hectare.Universidade Federal de Minas Gerais2020-12-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://periodicos.ufmg.br/index.php/ccaufmg/article/view/2617110.35699/2447-6218.2020.26171Agrarian Sciences Journal; Vol. 12 (2020); 1-10Caderno de Ciências Agrárias; v. 12 (2020); 1-102447-62181984-6738reponame:Caderno de Ciências Agrárias (Online)instname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGenghttps://periodicos.ufmg.br/index.php/ccaufmg/article/view/26171/20521https://periodicos.ufmg.br/index.php/ccaufmg/article/view/26171/20522Copyright (c) 2020 Caderno de Ciências Agráriashttp://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessSerenini, Renan Ramos, Patrícia de Siqueira Frias, Lincoln2022-07-28T13:44:41Zoai:periodicos.ufmg.br:article/26171Revistahttps://periodicos.ufmg.br/index.php/ccaufmgPUBhttps://periodicos.ufmg.br/index.php/ccaufmg/oaiccaufmg@ica.ufmg.br2447-62181984-6738opendoar:2022-07-28T13:44:41Caderno de Ciências Agrárias (Online) - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.none.fl_str_mv |
Spatial distribution of coffee crop productivity in Minas Gerais over time Distribuição espacial da produtividade de café em Minas Gerais ao longo do tempo |
title |
Spatial distribution of coffee crop productivity in Minas Gerais over time |
spellingShingle |
Spatial distribution of coffee crop productivity in Minas Gerais over time Serenini, Renan Moran’s I Spatial autocorrelation Spatial Statistics Agronomy Autocorrelação espacial Estatística Espacial I de Moran Agronomia |
title_short |
Spatial distribution of coffee crop productivity in Minas Gerais over time |
title_full |
Spatial distribution of coffee crop productivity in Minas Gerais over time |
title_fullStr |
Spatial distribution of coffee crop productivity in Minas Gerais over time |
title_full_unstemmed |
Spatial distribution of coffee crop productivity in Minas Gerais over time |
title_sort |
Spatial distribution of coffee crop productivity in Minas Gerais over time |
author |
Serenini, Renan |
author_facet |
Serenini, Renan Ramos, Patrícia de Siqueira Frias, Lincoln |
author_role |
author |
author2 |
Ramos, Patrícia de Siqueira Frias, Lincoln |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Serenini, Renan Ramos, Patrícia de Siqueira Frias, Lincoln |
dc.subject.por.fl_str_mv |
Moran’s I Spatial autocorrelation Spatial Statistics Agronomy Autocorrelação espacial Estatística Espacial I de Moran Agronomia |
topic |
Moran’s I Spatial autocorrelation Spatial Statistics Agronomy Autocorrelação espacial Estatística Espacial I de Moran Agronomia |
description |
Brazil is the world's largest coffee producer and the state of Minas Gerais is responsible for half of the Brazilian production. However, productivity is unevenly distributed throughout the state. Therefore, the purpose of this study is to analyze the spatial distribution of coffee productivity in Minas Gerais from 2002 to 2017, a valuable information to identify regions where coffee production may be more promising in the future. This paper investigates the existence of spatial dependence of productivity between regions (using Moran's I), its dynamics throughout the period and the presence of clusters of high and low productivity (using local Moran's I). The results show that the spatial dependence of productivity was stronger from 2002 to 2009 than between 2010 and 2017. Some regions with small coffee areas but high productivity have stopped producing the crop whereas some of those with large areas but low productivity increased their productivity levels. Therefore, there is a tendency of homogenization of productivity in Minas Gerais, with values close to 30 bags per hectare. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-31 |
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://periodicos.ufmg.br/index.php/ccaufmg/article/view/26171 10.35699/2447-6218.2020.26171 |
url |
https://periodicos.ufmg.br/index.php/ccaufmg/article/view/26171 |
identifier_str_mv |
10.35699/2447-6218.2020.26171 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.ufmg.br/index.php/ccaufmg/article/view/26171/20521 https://periodicos.ufmg.br/index.php/ccaufmg/article/view/26171/20522 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Caderno de Ciências Agrárias http://creativecommons.org/licenses/by-nc-nd/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Caderno de Ciências Agrárias http://creativecommons.org/licenses/by-nc-nd/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/html |
dc.publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
dc.source.none.fl_str_mv |
Agrarian Sciences Journal; Vol. 12 (2020); 1-10 Caderno de Ciências Agrárias; v. 12 (2020); 1-10 2447-6218 1984-6738 reponame:Caderno de Ciências Agrárias (Online) instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
instname_str |
Universidade Federal de Minas Gerais (UFMG) |
instacron_str |
UFMG |
institution |
UFMG |
reponame_str |
Caderno de Ciências Agrárias (Online) |
collection |
Caderno de Ciências Agrárias (Online) |
repository.name.fl_str_mv |
Caderno de Ciências Agrárias (Online) - Universidade Federal de Minas Gerais (UFMG) |
repository.mail.fl_str_mv |
ccaufmg@ica.ufmg.br |
_version_ |
1797042443806310400 |