Use of infrared analysis to identify genetic resources from isolated producers in Brazil as a tool to improve cassava competitiveness in the starch market
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/10.1111/ijfs.14651 http://hdl.handle.net/11449/199059 |
Resumo: | Our objective was to verify the potential of identifying different starches in Brazilian landraces of cassava using near and medium infrared analyses. The survey was conducted on 132 landraces collected throughout the Cerrado, Pantanal and Amazon biomes, in the Brazilian state of Mato Grosso, including 10 commercial starches. The results are reflective of selection for different genetic variants in small isolated producers. Infrared analysis enables rapid identification of this material and is the first step in identifying starches with different properties. The results demonstrate the potential of MIR analyses for in situ evaluation, an additional option for identifying important varieties and value the development of efforts made by small producers, whose landraces have special and economically important properties. |
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Repositório Institucional da UNESP |
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Use of infrared analysis to identify genetic resources from isolated producers in Brazil as a tool to improve cassava competitiveness in the starch marketAdded valuecassava developmentfood ingredientMIR analysisOur objective was to verify the potential of identifying different starches in Brazilian landraces of cassava using near and medium infrared analyses. The survey was conducted on 132 landraces collected throughout the Cerrado, Pantanal and Amazon biomes, in the Brazilian state of Mato Grosso, including 10 commercial starches. The results are reflective of selection for different genetic variants in small isolated producers. Infrared analysis enables rapid identification of this material and is the first step in identifying starches with different properties. The results demonstrate the potential of MIR analyses for in situ evaluation, an additional option for identifying important varieties and value the development of efforts made by small producers, whose landraces have special and economically important properties.Federal University of Mato Grosso do Sul – UFMSDepartment of Plant Sciences University of SaskatchewanUniversity of SaskatchewanBrazilian Agricultural Research Corporation – EMBRAPAState University of São Paulo UNESPState University of São Paulo UNESPUniversidade Federal de Mato Grosso do Sul (UFMS)University of SaskatchewanEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Universidade Estadual Paulista (Unesp)Vilpoux, Olivier F.Sharbel, Timothy F.Posso-Terranova, AndrésHoogerheide, Eulalia S. S.Cereda, Marney P. [UNESP]2020-12-12T01:29:42Z2020-12-12T01:29:42Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1111/ijfs.14651International Journal of Food Science and Technology.1365-26210950-5423http://hdl.handle.net/11449/19905910.1111/ijfs.146512-s2.0-85087319612Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal of Food Science and Technologyinfo:eu-repo/semantics/openAccess2021-10-23T02:05:47Zoai:repositorio.unesp.br:11449/199059Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T02:05:47Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Use of infrared analysis to identify genetic resources from isolated producers in Brazil as a tool to improve cassava competitiveness in the starch market |
title |
Use of infrared analysis to identify genetic resources from isolated producers in Brazil as a tool to improve cassava competitiveness in the starch market |
spellingShingle |
Use of infrared analysis to identify genetic resources from isolated producers in Brazil as a tool to improve cassava competitiveness in the starch market Vilpoux, Olivier F. Added value cassava development food ingredient MIR analysis |
title_short |
Use of infrared analysis to identify genetic resources from isolated producers in Brazil as a tool to improve cassava competitiveness in the starch market |
title_full |
Use of infrared analysis to identify genetic resources from isolated producers in Brazil as a tool to improve cassava competitiveness in the starch market |
title_fullStr |
Use of infrared analysis to identify genetic resources from isolated producers in Brazil as a tool to improve cassava competitiveness in the starch market |
title_full_unstemmed |
Use of infrared analysis to identify genetic resources from isolated producers in Brazil as a tool to improve cassava competitiveness in the starch market |
title_sort |
Use of infrared analysis to identify genetic resources from isolated producers in Brazil as a tool to improve cassava competitiveness in the starch market |
author |
Vilpoux, Olivier F. |
author_facet |
Vilpoux, Olivier F. Sharbel, Timothy F. Posso-Terranova, Andrés Hoogerheide, Eulalia S. S. Cereda, Marney P. [UNESP] |
author_role |
author |
author2 |
Sharbel, Timothy F. Posso-Terranova, Andrés Hoogerheide, Eulalia S. S. Cereda, Marney P. [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal de Mato Grosso do Sul (UFMS) University of Saskatchewan Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Vilpoux, Olivier F. Sharbel, Timothy F. Posso-Terranova, Andrés Hoogerheide, Eulalia S. S. Cereda, Marney P. [UNESP] |
dc.subject.por.fl_str_mv |
Added value cassava development food ingredient MIR analysis |
topic |
Added value cassava development food ingredient MIR analysis |
description |
Our objective was to verify the potential of identifying different starches in Brazilian landraces of cassava using near and medium infrared analyses. The survey was conducted on 132 landraces collected throughout the Cerrado, Pantanal and Amazon biomes, in the Brazilian state of Mato Grosso, including 10 commercial starches. The results are reflective of selection for different genetic variants in small isolated producers. Infrared analysis enables rapid identification of this material and is the first step in identifying starches with different properties. The results demonstrate the potential of MIR analyses for in situ evaluation, an additional option for identifying important varieties and value the development of efforts made by small producers, whose landraces have special and economically important properties. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-12T01:29:42Z 2020-12-12T01:29:42Z 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/10.1111/ijfs.14651 International Journal of Food Science and Technology. 1365-2621 0950-5423 http://hdl.handle.net/11449/199059 10.1111/ijfs.14651 2-s2.0-85087319612 |
url |
http://dx.doi.org/10.1111/ijfs.14651 http://hdl.handle.net/11449/199059 |
identifier_str_mv |
International Journal of Food Science and Technology. 1365-2621 0950-5423 10.1111/ijfs.14651 2-s2.0-85087319612 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
International Journal of Food Science and Technology |
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 |
|
_version_ |
1797789811441926144 |