Phenotypic diversity of starch pasting properties in cassava for food industry

Detalhes bibliográficos
Autor(a) principal: Santos, Cristiano Silva
Data de Publicação: 2022
Outros Autores: Sousa, Massaine Bandeira e, Brito, Ana Carla, Oliveira, Luciana Alves de, Carvalho, Carlos Wanderlei Piler, Oliveira, Eder Jorge de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta Scientiarum. Agronomy (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/56361
Resumo: The aim of this study was to evaluate the phenotypic variation and diversity of cassava for breeding purposes based on the pasting properties of starch, for food applications. The viscosities of the starches, extracted from 1031 accessions, were obtained using a Rapid Visco Analyzer. The best linear unbiased predictors were calculated for five critical points of the viscograms, which were then used to cluster the accessions based on the discriminant analysis of principal components. The wide phenotypic variation identified from the viscograms reveals the high potential for selection gains, especially for pasting temperature and setback. Certain strong correlations indicate that selection based on a specific viscogram trait can be used for indirect selection (e.g., the correlation between peak viscosity and breakdown [0.85]). The lowest Bayesian information criterion identified five different groups. Groups 3 and 4 exhibited high pasting temperatures, while Groups 3 and 5 exhibited low setbacks. Group 3 also exhibited low viscosity and breakdown. However, we focused on selecting cassava accessions with a high pasting temperature and low setback, as these are the most important traits for industrial applications. The predicted genetic gains from the selection of the top 15 cassava accessions for increasing pasting temperature and decreasing setback were 4.40% and 53.17%, respectively. The increased pasting temperature (~72.89°C) and high amplitude of setback (~600 cP) due to selection can guide the utilization of the cassava germplasm for breeding and provide a basis for further studies to develop varieties with added value, especially in the food industry.
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spelling Phenotypic diversity of starch pasting properties in cassava for food industryPhenotypic diversity of starch pasting properties in cassava for food industryviscosity; characterization; germplasm; Manihot esculenta Crantz.viscosity; characterization; germplasm; Manihot esculenta Crantz.The aim of this study was to evaluate the phenotypic variation and diversity of cassava for breeding purposes based on the pasting properties of starch, for food applications. The viscosities of the starches, extracted from 1031 accessions, were obtained using a Rapid Visco Analyzer. The best linear unbiased predictors were calculated for five critical points of the viscograms, which were then used to cluster the accessions based on the discriminant analysis of principal components. The wide phenotypic variation identified from the viscograms reveals the high potential for selection gains, especially for pasting temperature and setback. Certain strong correlations indicate that selection based on a specific viscogram trait can be used for indirect selection (e.g., the correlation between peak viscosity and breakdown [0.85]). The lowest Bayesian information criterion identified five different groups. Groups 3 and 4 exhibited high pasting temperatures, while Groups 3 and 5 exhibited low setbacks. Group 3 also exhibited low viscosity and breakdown. However, we focused on selecting cassava accessions with a high pasting temperature and low setback, as these are the most important traits for industrial applications. The predicted genetic gains from the selection of the top 15 cassava accessions for increasing pasting temperature and decreasing setback were 4.40% and 53.17%, respectively. The increased pasting temperature (~72.89°C) and high amplitude of setback (~600 cP) due to selection can guide the utilization of the cassava germplasm for breeding and provide a basis for further studies to develop varieties with added value, especially in the food industry.The aim of this study was to evaluate the phenotypic variation and diversity of cassava for breeding purposes based on the pasting properties of starch, for food applications. The viscosities of the starches, extracted from 1031 accessions, were obtained using a Rapid Visco Analyzer. The best linear unbiased predictors were calculated for five critical points of the viscograms, which were then used to cluster the accessions based on the discriminant analysis of principal components. The wide phenotypic variation identified from the viscograms reveals the high potential for selection gains, especially for pasting temperature and setback. Certain strong correlations indicate that selection based on a specific viscogram trait can be used for indirect selection (e.g., the correlation between peak viscosity and breakdown [0.85]). The lowest Bayesian information criterion identified five different groups. Groups 3 and 4 exhibited high pasting temperatures, while Groups 3 and 5 exhibited low setbacks. Group 3 also exhibited low viscosity and breakdown. However, we focused on selecting cassava accessions with a high pasting temperature and low setback, as these are the most important traits for industrial applications. The predicted genetic gains from the selection of the top 15 cassava accessions for increasing pasting temperature and decreasing setback were 4.40% and 53.17%, respectively. The increased pasting temperature (~72.89°C) and high amplitude of setback (~600 cP) due to selection can guide the utilization of the cassava germplasm for breeding and provide a basis for further studies to develop varieties with added value, especially in the food industry.Universidade Estadual de Maringá2022-09-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/5636110.4025/actasciagron.v45i1.56361Acta Scientiarum. Agronomy; Vol 45 (2023): Publicação contínua; e56361Acta Scientiarum. Agronomy; v. 45 (2023): Publicação contínua; e563611807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/56361/751375154803Copyright (c) 2023 Acta Scientiarum. Agronomyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSantos, Cristiano SilvaSousa, Massaine Bandeira eBrito, Ana CarlaOliveira, Luciana Alves deCarvalho, Carlos Wanderlei PilerOliveira, Eder Jorge de2023-01-31T19:22:55Zoai:periodicos.uem.br/ojs:article/56361Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2023-01-31T19:22:55Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Phenotypic diversity of starch pasting properties in cassava for food industry
Phenotypic diversity of starch pasting properties in cassava for food industry
title Phenotypic diversity of starch pasting properties in cassava for food industry
spellingShingle Phenotypic diversity of starch pasting properties in cassava for food industry
Santos, Cristiano Silva
viscosity; characterization; germplasm; Manihot esculenta Crantz.
viscosity; characterization; germplasm; Manihot esculenta Crantz.
title_short Phenotypic diversity of starch pasting properties in cassava for food industry
title_full Phenotypic diversity of starch pasting properties in cassava for food industry
title_fullStr Phenotypic diversity of starch pasting properties in cassava for food industry
title_full_unstemmed Phenotypic diversity of starch pasting properties in cassava for food industry
title_sort Phenotypic diversity of starch pasting properties in cassava for food industry
author Santos, Cristiano Silva
author_facet Santos, Cristiano Silva
Sousa, Massaine Bandeira e
Brito, Ana Carla
Oliveira, Luciana Alves de
Carvalho, Carlos Wanderlei Piler
Oliveira, Eder Jorge de
author_role author
author2 Sousa, Massaine Bandeira e
Brito, Ana Carla
Oliveira, Luciana Alves de
Carvalho, Carlos Wanderlei Piler
Oliveira, Eder Jorge de
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Santos, Cristiano Silva
Sousa, Massaine Bandeira e
Brito, Ana Carla
Oliveira, Luciana Alves de
Carvalho, Carlos Wanderlei Piler
Oliveira, Eder Jorge de
dc.subject.por.fl_str_mv viscosity; characterization; germplasm; Manihot esculenta Crantz.
viscosity; characterization; germplasm; Manihot esculenta Crantz.
topic viscosity; characterization; germplasm; Manihot esculenta Crantz.
viscosity; characterization; germplasm; Manihot esculenta Crantz.
description The aim of this study was to evaluate the phenotypic variation and diversity of cassava for breeding purposes based on the pasting properties of starch, for food applications. The viscosities of the starches, extracted from 1031 accessions, were obtained using a Rapid Visco Analyzer. The best linear unbiased predictors were calculated for five critical points of the viscograms, which were then used to cluster the accessions based on the discriminant analysis of principal components. The wide phenotypic variation identified from the viscograms reveals the high potential for selection gains, especially for pasting temperature and setback. Certain strong correlations indicate that selection based on a specific viscogram trait can be used for indirect selection (e.g., the correlation between peak viscosity and breakdown [0.85]). The lowest Bayesian information criterion identified five different groups. Groups 3 and 4 exhibited high pasting temperatures, while Groups 3 and 5 exhibited low setbacks. Group 3 also exhibited low viscosity and breakdown. However, we focused on selecting cassava accessions with a high pasting temperature and low setback, as these are the most important traits for industrial applications. The predicted genetic gains from the selection of the top 15 cassava accessions for increasing pasting temperature and decreasing setback were 4.40% and 53.17%, respectively. The increased pasting temperature (~72.89°C) and high amplitude of setback (~600 cP) due to selection can guide the utilization of the cassava germplasm for breeding and provide a basis for further studies to develop varieties with added value, especially in the food industry.
publishDate 2022
dc.date.none.fl_str_mv 2022-09-19
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 http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/56361
10.4025/actasciagron.v45i1.56361
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/56361
identifier_str_mv 10.4025/actasciagron.v45i1.56361
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/56361/751375154803
dc.rights.driver.fl_str_mv Copyright (c) 2023 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Acta Scientiarum. Agronomy
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 Universidade Estadual de Maringá
publisher.none.fl_str_mv Universidade Estadual de Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Agronomy; Vol 45 (2023): Publicação contínua; e56361
Acta Scientiarum. Agronomy; v. 45 (2023): Publicação contínua; e56361
1807-8621
1679-9275
reponame:Acta Scientiarum. Agronomy (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta Scientiarum. Agronomy (Online)
collection Acta Scientiarum. Agronomy (Online)
repository.name.fl_str_mv Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br
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