Trait selection using procrustes analysis for the study of genetic diversity in Conilon coffee

Detalhes bibliográficos
Autor(a) principal: Pontes, Daiana Salles
Data de Publicação: 2020
Outros Autores: Rosado, Renato Domiciano Silva, Cruz, Cosme Damião, Nascimento, Moysés, Oliveira, Ana Maria Cruz, Pensky, Scott Michael
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/43195
Resumo: Trait selection is occasionally necessary to save money and time, as well as accelerate breeding program processes. This study aimed to propose two criteria to select traits based on a Procrustes analysis that are poorly explored in genetic breeding: Criterion 1 (backward algorithm) and Criterion 2 (exhaustive algorithm). Then, these two criteria were further compared with Jolliffe’s criterion, which has often been used to select traits in genetic diversity studies. Sixteen agronomic traits were considered, and 40 Conilon coffee (Coffea canephora) accessions were evaluated. This study showed that the flexibility in selecting traits by researcher preference, graphical visualization, and Procrustes  statistic through criteria 1 and 2 is a fast and reliable alternative for decision-making. These decisions are based on the removal and addition of traits for phenotyping in studies of Conilon coffee diversity that can be applied to other crops. Other relevant aspects of selection traits criteria were also discussed.
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spelling Trait selection using procrustes analysis for the study of genetic diversity in Conilon coffeeTrait selection using procrustes analysis for the study of genetic diversity in Conilon coffeePrincipal componentsgraphical comparisonselection criteriadiscard of variablesplant breedingGenética VegetalTrait selection is occasionally necessary to save money and time, as well as accelerate breeding program processes. This study aimed to propose two criteria to select traits based on a Procrustes analysis that are poorly explored in genetic breeding: Criterion 1 (backward algorithm) and Criterion 2 (exhaustive algorithm). Then, these two criteria were further compared with Jolliffe’s criterion, which has often been used to select traits in genetic diversity studies. Sixteen agronomic traits were considered, and 40 Conilon coffee (Coffea canephora) accessions were evaluated. This study showed that the flexibility in selecting traits by researcher preference, graphical visualization, and Procrustes  statistic through criteria 1 and 2 is a fast and reliable alternative for decision-making. These decisions are based on the removal and addition of traits for phenotyping in studies of Conilon coffee diversity that can be applied to other crops. Other relevant aspects of selection traits criteria were also discussed.Universidade Estadual de Maringá2020-05-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/4319510.4025/actasciagron.v42i1.43195Acta Scientiarum. Agronomy; Vol 42 (2020): Publicação contínua; e43195Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e431951807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/43195/751375150075Copyright (c) 2020 Acta Scientiarum. Agronomyhttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessPontes, Daiana SallesRosado, Renato Domiciano SilvaCruz, Cosme DamiãoNascimento, MoysésOliveira, Ana Maria CruzPensky, Scott Michael 2020-11-16T18:51:02Zoai:periodicos.uem.br/ojs:article/43195Revistahttp://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:2020-11-16T18:51:02Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Trait selection using procrustes analysis for the study of genetic diversity in Conilon coffee
Trait selection using procrustes analysis for the study of genetic diversity in Conilon coffee
title Trait selection using procrustes analysis for the study of genetic diversity in Conilon coffee
spellingShingle Trait selection using procrustes analysis for the study of genetic diversity in Conilon coffee
Pontes, Daiana Salles
Principal components
graphical comparison
selection criteria
discard of variables
plant breeding
Genética Vegetal
title_short Trait selection using procrustes analysis for the study of genetic diversity in Conilon coffee
title_full Trait selection using procrustes analysis for the study of genetic diversity in Conilon coffee
title_fullStr Trait selection using procrustes analysis for the study of genetic diversity in Conilon coffee
title_full_unstemmed Trait selection using procrustes analysis for the study of genetic diversity in Conilon coffee
title_sort Trait selection using procrustes analysis for the study of genetic diversity in Conilon coffee
author Pontes, Daiana Salles
author_facet Pontes, Daiana Salles
Rosado, Renato Domiciano Silva
Cruz, Cosme Damião
Nascimento, Moysés
Oliveira, Ana Maria Cruz
Pensky, Scott Michael
author_role author
author2 Rosado, Renato Domiciano Silva
Cruz, Cosme Damião
Nascimento, Moysés
Oliveira, Ana Maria Cruz
Pensky, Scott Michael
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Pontes, Daiana Salles
Rosado, Renato Domiciano Silva
Cruz, Cosme Damião
Nascimento, Moysés
Oliveira, Ana Maria Cruz
Pensky, Scott Michael
dc.subject.por.fl_str_mv Principal components
graphical comparison
selection criteria
discard of variables
plant breeding
Genética Vegetal
topic Principal components
graphical comparison
selection criteria
discard of variables
plant breeding
Genética Vegetal
description Trait selection is occasionally necessary to save money and time, as well as accelerate breeding program processes. This study aimed to propose two criteria to select traits based on a Procrustes analysis that are poorly explored in genetic breeding: Criterion 1 (backward algorithm) and Criterion 2 (exhaustive algorithm). Then, these two criteria were further compared with Jolliffe’s criterion, which has often been used to select traits in genetic diversity studies. Sixteen agronomic traits were considered, and 40 Conilon coffee (Coffea canephora) accessions were evaluated. This study showed that the flexibility in selecting traits by researcher preference, graphical visualization, and Procrustes  statistic through criteria 1 and 2 is a fast and reliable alternative for decision-making. These decisions are based on the removal and addition of traits for phenotyping in studies of Conilon coffee diversity that can be applied to other crops. Other relevant aspects of selection traits criteria were also discussed.
publishDate 2020
dc.date.none.fl_str_mv 2020-05-27
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/43195
10.4025/actasciagron.v42i1.43195
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/43195
identifier_str_mv 10.4025/actasciagron.v42i1.43195
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/43195/751375150075
dc.rights.driver.fl_str_mv Copyright (c) 2020 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by-nc-nd/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 42 (2020): Publicação contínua; e43195
Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e43195
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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