Estimates of flour and starch yield of cassava roots

Detalhes bibliográficos
Autor(a) principal: Pola, Augusto Carlos
Data de Publicação: 2021
Outros Autores: Nunes, Eduardo da Costa, Moreto, Alexsander Luis
Tipo de documento: Artigo
Idioma: por
Título da fonte: Agropecuária Catarinense (Online)
Texto Completo: https://publicacoes.epagri.sc.gov.br/rac/article/view/797
Resumo: Through linear regression analysis, equations and graphs were developed that allow estimates of flour yield for the Sul Catarinense and Vale do Itajaí regions, in Santa Catarina, Brazil. In another linear regression study, a mathematical model was generated to estimate the starch yield of the roots from their dry matter content. The method used showed a starch extraction efficiency of 66%, that is, about one third of the starch was retained in the residue. Considering an industrial extraction efficiency close to this value, it is possible to use the equation generated to estimate the production of industrial starch yield from the dry matter content of the tubers. The contents of dry matter and starch of the roots of five commercial cassava cultivars in the south of Santa Catarina, harvested after one and two vegetative cycles, were also determined in this work. Average increases of 8.4% and 5.1% percentage points were recorded in the dry matter content and in the starch yield at the end of the second cultivation cycle.
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spelling Estimates of flour and starch yield of cassava rootsEstimativas do rendimento de farinha e de amido em mandiocaManihot esculenta Crantzfécularendimento industrialManihot esculenta Crantzstarchindustrial yieldThrough linear regression analysis, equations and graphs were developed that allow estimates of flour yield for the Sul Catarinense and Vale do Itajaí regions, in Santa Catarina, Brazil. In another linear regression study, a mathematical model was generated to estimate the starch yield of the roots from their dry matter content. The method used showed a starch extraction efficiency of 66%, that is, about one third of the starch was retained in the residue. Considering an industrial extraction efficiency close to this value, it is possible to use the equation generated to estimate the production of industrial starch yield from the dry matter content of the tubers. The contents of dry matter and starch of the roots of five commercial cassava cultivars in the south of Santa Catarina, harvested after one and two vegetative cycles, were also determined in this work. Average increases of 8.4% and 5.1% percentage points were recorded in the dry matter content and in the starch yield at the end of the second cultivation cycle.Através de análise de regressão linear, foram desenvolvidas equações e gráficos que possibilitam estimativas do rendimento de farinha a partir do peso de 3,0kg de raízes submersas em água (método da gravidade específica), para as regiões Sul Catarinense e Vale do Itajaí, em Santa Catarina. Em outro estudo de regressão linear, foi gerado um modelo matemático para estimativa do teor de amido das raízes a partir do seu teor de matéria seca. O método utilizado apresentou uma eficiência de extração de amido de 66%, ou seja, cerca de um terço do amido ficou retido no resíduo. Considerando uma eficiência de extração industrial próxima deste valor, é possível utilizar a equação gerada para estimar a produção de fécula a partir do teor de matéria seca dos tubérculos. Foram também determinados, no presente trabalho, os teores de matéria seca e amido das raízes de cinco cultivares comerciais de mandioca do Sul de Santa Catarina, colhidas após um e dois ciclos vegetativos. Foram registrados incrementos médios de 8,4% e 5,1% nos citados teores (base úmida), respectivamente, ao final do segundo ciclo de cultivo.Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina - Epagri2021-08-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://publicacoes.epagri.sc.gov.br/rac/article/view/79710.52945/rac.v34i2.797Agropecuária Catarinense Journal; Vol. 34 No. 2 (2021); 30-33Agropecuária Catarinense; v. 34 n. 2 (2021); 30-332525-60760103-0779reponame:Agropecuária Catarinense (Online)instname:Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)instacron:EPAGRIporhttps://publicacoes.epagri.sc.gov.br/rac/article/view/797/1126Copyright (c) 2021 Augusto Carlos Pola, Eduardo da Costa Nunes, Alexsander Luis Moretohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessPola, Augusto CarlosNunes, Eduardo da CostaMoreto, Alexsander Luis2021-11-08T20:17:02Zoai:ojs.publicacoes.epagri.sc.gov.br:article/797Revistahttps://publicacoes.epagri.sc.gov.br/RAC/indexPUBhttps://publicacoes.epagri.sc.gov.br/index.php/RAC/oaieditoriarac@epagri.sc.gov.br || lamperuch@epagri.sc.gov.br2525-60760103-0779opendoar:2021-11-08T20:17:02Agropecuária Catarinense (Online) - Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)false
dc.title.none.fl_str_mv Estimates of flour and starch yield of cassava roots
Estimativas do rendimento de farinha e de amido em mandioca
title Estimates of flour and starch yield of cassava roots
spellingShingle Estimates of flour and starch yield of cassava roots
Pola, Augusto Carlos
Manihot esculenta Crantz
fécula
rendimento industrial
Manihot esculenta Crantz
starch
industrial yield
title_short Estimates of flour and starch yield of cassava roots
title_full Estimates of flour and starch yield of cassava roots
title_fullStr Estimates of flour and starch yield of cassava roots
title_full_unstemmed Estimates of flour and starch yield of cassava roots
title_sort Estimates of flour and starch yield of cassava roots
author Pola, Augusto Carlos
author_facet Pola, Augusto Carlos
Nunes, Eduardo da Costa
Moreto, Alexsander Luis
author_role author
author2 Nunes, Eduardo da Costa
Moreto, Alexsander Luis
author2_role author
author
dc.contributor.author.fl_str_mv Pola, Augusto Carlos
Nunes, Eduardo da Costa
Moreto, Alexsander Luis
dc.subject.por.fl_str_mv Manihot esculenta Crantz
fécula
rendimento industrial
Manihot esculenta Crantz
starch
industrial yield
topic Manihot esculenta Crantz
fécula
rendimento industrial
Manihot esculenta Crantz
starch
industrial yield
description Through linear regression analysis, equations and graphs were developed that allow estimates of flour yield for the Sul Catarinense and Vale do Itajaí regions, in Santa Catarina, Brazil. In another linear regression study, a mathematical model was generated to estimate the starch yield of the roots from their dry matter content. The method used showed a starch extraction efficiency of 66%, that is, about one third of the starch was retained in the residue. Considering an industrial extraction efficiency close to this value, it is possible to use the equation generated to estimate the production of industrial starch yield from the dry matter content of the tubers. The contents of dry matter and starch of the roots of five commercial cassava cultivars in the south of Santa Catarina, harvested after one and two vegetative cycles, were also determined in this work. Average increases of 8.4% and 5.1% percentage points were recorded in the dry matter content and in the starch yield at the end of the second cultivation cycle.
publishDate 2021
dc.date.none.fl_str_mv 2021-08-24
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://publicacoes.epagri.sc.gov.br/rac/article/view/797
10.52945/rac.v34i2.797
url https://publicacoes.epagri.sc.gov.br/rac/article/view/797
identifier_str_mv 10.52945/rac.v34i2.797
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://publicacoes.epagri.sc.gov.br/rac/article/view/797/1126
dc.rights.driver.fl_str_mv Copyright (c) 2021 Augusto Carlos Pola, Eduardo da Costa Nunes, Alexsander Luis Moreto
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Augusto Carlos Pola, Eduardo da Costa Nunes, Alexsander Luis Moreto
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina - Epagri
publisher.none.fl_str_mv Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina - Epagri
dc.source.none.fl_str_mv Agropecuária Catarinense Journal; Vol. 34 No. 2 (2021); 30-33
Agropecuária Catarinense; v. 34 n. 2 (2021); 30-33
2525-6076
0103-0779
reponame:Agropecuária Catarinense (Online)
instname:Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)
instacron:EPAGRI
instname_str Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)
instacron_str EPAGRI
institution EPAGRI
reponame_str Agropecuária Catarinense (Online)
collection Agropecuária Catarinense (Online)
repository.name.fl_str_mv Agropecuária Catarinense (Online) - Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)
repository.mail.fl_str_mv editoriarac@epagri.sc.gov.br || lamperuch@epagri.sc.gov.br
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