A Multivariate Approach to Determine the Economic Profitability of Sugarcane Production Under Diverse Climatic Conditions in Brazil
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s12355-020-00854-7 http://hdl.handle.net/11449/200713 |
Resumo: | The prominent position of sugarcane as a source of renewable and sustainable energy resulted in the expansion of its production into regions under limiting climatic conditions, thus affecting patterns related to growth, ripening, and profitability. This study provides an assessment of the factors that compose the economic return of sugarcane production using a multivariate approach. Monthly data, including total recoverable sugars, price, productivity (for an average of five mechanized harvesting), and rainfall during seven harvest seasons (2011/2012–2017/2018), were used to perform the multivariate statistical analyses considering the climatic conditions of four regions in the state of São Paulo, southeastern Brazil (Araçatuba, Assis, Ribeirão Preto, and Piracicaba). The chosen techniques were hierarchical and non-hierarchical (k-means) cluster analysis and principal component analysis. The data indicated the existence of three groups of months that exhibited different performances: Groups I, II, and III with intermediate, high, and low gross economic returns, respectively. Although group organization presented regional variations, July, August, September, and eventually October (Group II) generally exhibited the best gross economic returns (R$5065.1 ha−1). December and November (Group III) exhibited the lowest economic returns (R$4731.5 ha−1), and April, May, and June (Group I) exhibited intermediate returns that were close to the annual average (R$4829.6 ha−1). Given the territorial extent of Brazil and the significant variations in environmental conditions, the adaptation of sugarcane cultivation and harvesting strategies to the characteristics of each producing region is fundamental for the rational and sustainable exploitation of the crop in the country. |
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Repositório Institucional da UNESP |
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A Multivariate Approach to Determine the Economic Profitability of Sugarcane Production Under Diverse Climatic Conditions in BrazilBiomass productionCluster analysisIndustrial qualitySaccharum sppStrategic planningThe prominent position of sugarcane as a source of renewable and sustainable energy resulted in the expansion of its production into regions under limiting climatic conditions, thus affecting patterns related to growth, ripening, and profitability. This study provides an assessment of the factors that compose the economic return of sugarcane production using a multivariate approach. Monthly data, including total recoverable sugars, price, productivity (for an average of five mechanized harvesting), and rainfall during seven harvest seasons (2011/2012–2017/2018), were used to perform the multivariate statistical analyses considering the climatic conditions of four regions in the state of São Paulo, southeastern Brazil (Araçatuba, Assis, Ribeirão Preto, and Piracicaba). The chosen techniques were hierarchical and non-hierarchical (k-means) cluster analysis and principal component analysis. The data indicated the existence of three groups of months that exhibited different performances: Groups I, II, and III with intermediate, high, and low gross economic returns, respectively. Although group organization presented regional variations, July, August, September, and eventually October (Group II) generally exhibited the best gross economic returns (R$5065.1 ha−1). December and November (Group III) exhibited the lowest economic returns (R$4731.5 ha−1), and April, May, and June (Group I) exhibited intermediate returns that were close to the annual average (R$4829.6 ha−1). Given the territorial extent of Brazil and the significant variations in environmental conditions, the adaptation of sugarcane cultivation and harvesting strategies to the characteristics of each producing region is fundamental for the rational and sustainable exploitation of the crop in the country.FCA/UNESP – Department of Crop Science and Plant Breeding College of Agricultural Sciences/São Paulo State University, Av. Universitária 3780LNBR/CNPEM – Brazilian Biorenewables National Laboratory/Brazilian Center for Research in Energy and Materials, Rua Giuseppe Máximo Scolfaro 10000, Polo II de Alta TecnologiaFCAV/UNESP – Department of Engineering and Exact Sciences College of Agricultural and Veterinarian Sciences/São Paulo State University, Via de Acesso Prof. Paulo Donato Castellane s/nFCA/UNESP – Department of Crop Science and Plant Breeding College of Agricultural Sciences/São Paulo State University, Av. Universitária 3780FCAV/UNESP – Department of Engineering and Exact Sciences College of Agricultural and Veterinarian Sciences/São Paulo State University, Via de Acesso Prof. Paulo Donato Castellane s/nUniversidade Estadual Paulista (Unesp)LNBR/CNPEM – Brazilian Biorenewables National Laboratory/Brazilian Center for Research in Energy and MaterialsCardozo, Nilceu Piffer [UNESP]Bordonal, Ricardo de OliveiraPanosso, Alan Rodrigo [UNESP]Crusciol, Carlos Alexandre Costa [UNESP]2020-12-12T02:14:01Z2020-12-12T02:14:01Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s12355-020-00854-7Sugar Tech.0974-07400972-1525http://hdl.handle.net/11449/20071310.1007/s12355-020-00854-72-s2.0-85087505902Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSugar Techinfo:eu-repo/semantics/openAccess2024-06-06T13:43:17Zoai:repositorio.unesp.br:11449/200713Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:44:24.899426Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A Multivariate Approach to Determine the Economic Profitability of Sugarcane Production Under Diverse Climatic Conditions in Brazil |
title |
A Multivariate Approach to Determine the Economic Profitability of Sugarcane Production Under Diverse Climatic Conditions in Brazil |
spellingShingle |
A Multivariate Approach to Determine the Economic Profitability of Sugarcane Production Under Diverse Climatic Conditions in Brazil Cardozo, Nilceu Piffer [UNESP] Biomass production Cluster analysis Industrial quality Saccharum spp Strategic planning |
title_short |
A Multivariate Approach to Determine the Economic Profitability of Sugarcane Production Under Diverse Climatic Conditions in Brazil |
title_full |
A Multivariate Approach to Determine the Economic Profitability of Sugarcane Production Under Diverse Climatic Conditions in Brazil |
title_fullStr |
A Multivariate Approach to Determine the Economic Profitability of Sugarcane Production Under Diverse Climatic Conditions in Brazil |
title_full_unstemmed |
A Multivariate Approach to Determine the Economic Profitability of Sugarcane Production Under Diverse Climatic Conditions in Brazil |
title_sort |
A Multivariate Approach to Determine the Economic Profitability of Sugarcane Production Under Diverse Climatic Conditions in Brazil |
author |
Cardozo, Nilceu Piffer [UNESP] |
author_facet |
Cardozo, Nilceu Piffer [UNESP] Bordonal, Ricardo de Oliveira Panosso, Alan Rodrigo [UNESP] Crusciol, Carlos Alexandre Costa [UNESP] |
author_role |
author |
author2 |
Bordonal, Ricardo de Oliveira Panosso, Alan Rodrigo [UNESP] Crusciol, Carlos Alexandre Costa [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) LNBR/CNPEM – Brazilian Biorenewables National Laboratory/Brazilian Center for Research in Energy and Materials |
dc.contributor.author.fl_str_mv |
Cardozo, Nilceu Piffer [UNESP] Bordonal, Ricardo de Oliveira Panosso, Alan Rodrigo [UNESP] Crusciol, Carlos Alexandre Costa [UNESP] |
dc.subject.por.fl_str_mv |
Biomass production Cluster analysis Industrial quality Saccharum spp Strategic planning |
topic |
Biomass production Cluster analysis Industrial quality Saccharum spp Strategic planning |
description |
The prominent position of sugarcane as a source of renewable and sustainable energy resulted in the expansion of its production into regions under limiting climatic conditions, thus affecting patterns related to growth, ripening, and profitability. This study provides an assessment of the factors that compose the economic return of sugarcane production using a multivariate approach. Monthly data, including total recoverable sugars, price, productivity (for an average of five mechanized harvesting), and rainfall during seven harvest seasons (2011/2012–2017/2018), were used to perform the multivariate statistical analyses considering the climatic conditions of four regions in the state of São Paulo, southeastern Brazil (Araçatuba, Assis, Ribeirão Preto, and Piracicaba). The chosen techniques were hierarchical and non-hierarchical (k-means) cluster analysis and principal component analysis. The data indicated the existence of three groups of months that exhibited different performances: Groups I, II, and III with intermediate, high, and low gross economic returns, respectively. Although group organization presented regional variations, July, August, September, and eventually October (Group II) generally exhibited the best gross economic returns (R$5065.1 ha−1). December and November (Group III) exhibited the lowest economic returns (R$4731.5 ha−1), and April, May, and June (Group I) exhibited intermediate returns that were close to the annual average (R$4829.6 ha−1). Given the territorial extent of Brazil and the significant variations in environmental conditions, the adaptation of sugarcane cultivation and harvesting strategies to the characteristics of each producing region is fundamental for the rational and sustainable exploitation of the crop in the country. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-12T02:14:01Z 2020-12-12T02:14:01Z 2020-01-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/s12355-020-00854-7 Sugar Tech. 0974-0740 0972-1525 http://hdl.handle.net/11449/200713 10.1007/s12355-020-00854-7 2-s2.0-85087505902 |
url |
http://dx.doi.org/10.1007/s12355-020-00854-7 http://hdl.handle.net/11449/200713 |
identifier_str_mv |
Sugar Tech. 0974-0740 0972-1525 10.1007/s12355-020-00854-7 2-s2.0-85087505902 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Sugar Tech |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1808129111103635456 |