Multivariate statistical analysis applied to physical properties of soybean seeds cultivars on the post-harvest

Detalhes bibliográficos
Autor(a) principal: Oliveira, Josiane Aparecida Viveiros de
Data de Publicação: 2023
Outros Autores: Coradi, Paulo Carteri, Teodoro, Larissa Pereira Ribeiro, Rodrigues , Dágila Melo, Teodoro , Paulo Eduardo, Moraes , Rosana Santos 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/63664
Resumo: To consider the different characteristics of soybean seeds for designing and regulating the post-harvest equipment, we evaluated the similarities in the physical properties of soybean cultivars in this study. Two-hundred soybean seeds from 40 genetically modified cultivars were collected in packages to measure the physical properties of the seeds. First, principal component analysis was performed to verify the interrelationships between the variables and soybean cultivars. Next, a boxplot was constructed for each variable, considering the groups obtained after analyzing the main components. Finally, a scatterplot containing the Pearson's correlations between the variables was constructed. We identified two clusters of cultivars: C1 and C2. The unit-specific mass was the physical property that contributed the most to the formation of C1, whereas the other physical properties contributed to the formation of C2. Soybean cultivars comprising C1 were similar to each other only in unit specific mass, and the cultivars allocated to group C2 were similar according to all the other properties evaluated. These results can serve as a guideline for genotype selection for soybean genetic improvement to minimize variations in the physical characteristics of the seeds and obtain greater efficiency in the processing stages. Thus, the equipment manufacturing industry and seed processing units can implement projects and equipment adjustments to manage the post-harvest and seeding processes of soybean seeds efficiently.
id UEM-5_4a1e5f83dbb260679576408b91060b0f
oai_identifier_str oai:periodicos.uem.br/ojs:article/63664
network_acronym_str UEM-5
network_name_str Acta Scientiarum. Agronomy (Online)
repository_id_str
spelling Multivariate statistical analysis applied to physical properties of soybean seeds cultivars on the post-harvestMultivariate statistical analysis applied to physical properties of soybean seeds cultivars on the post-harvestequipment manufacturing industry; post-harvest loss reductions; process optimization; seed processing units; soybean seed quality.equipment manufacturing industry; post-harvest loss reductions; process optimization; seed processing units; soybean seed quality.To consider the different characteristics of soybean seeds for designing and regulating the post-harvest equipment, we evaluated the similarities in the physical properties of soybean cultivars in this study. Two-hundred soybean seeds from 40 genetically modified cultivars were collected in packages to measure the physical properties of the seeds. First, principal component analysis was performed to verify the interrelationships between the variables and soybean cultivars. Next, a boxplot was constructed for each variable, considering the groups obtained after analyzing the main components. Finally, a scatterplot containing the Pearson's correlations between the variables was constructed. We identified two clusters of cultivars: C1 and C2. The unit-specific mass was the physical property that contributed the most to the formation of C1, whereas the other physical properties contributed to the formation of C2. Soybean cultivars comprising C1 were similar to each other only in unit specific mass, and the cultivars allocated to group C2 were similar according to all the other properties evaluated. These results can serve as a guideline for genotype selection for soybean genetic improvement to minimize variations in the physical characteristics of the seeds and obtain greater efficiency in the processing stages. Thus, the equipment manufacturing industry and seed processing units can implement projects and equipment adjustments to manage the post-harvest and seeding processes of soybean seeds efficiently.To consider the different characteristics of soybean seeds for designing and regulating the post-harvest equipment, we evaluated the similarities in the physical properties of soybean cultivars in this study. Two-hundred soybean seeds from 40 genetically modified cultivars were collected in packages to measure the physical properties of the seeds. First, principal component analysis was performed to verify the interrelationships between the variables and soybean cultivars. Next, a boxplot was constructed for each variable, considering the groups obtained after analyzing the main components. Finally, a scatterplot containing the Pearson's correlations between the variables was constructed. We identified two clusters of cultivars: C1 and C2. The unit-specific mass was the physical property that contributed the most to the formation of C1, whereas the other physical properties contributed to the formation of C2. Soybean cultivars comprising C1 were similar to each other only in unit specific mass, and the cultivars allocated to group C2 were similar according to all the other properties evaluated. These results can serve as a guideline for genotype selection for soybean genetic improvement to minimize variations in the physical characteristics of the seeds and obtain greater efficiency in the processing stages. Thus, the equipment manufacturing industry and seed processing units can implement projects and equipment adjustments to manage the post-harvest and seeding processes of soybean seeds efficiently.Universidade Estadual de Maringá2023-12-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/6366410.4025/actasciagron.v46i1.63664Acta Scientiarum. Agronomy; Vol 46 No 1 (2024): Publicação contínua; e63664Acta Scientiarum. Agronomy; v. 46 n. 1 (2024): Publicação contínua; e636641807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/63664/751375156920Copyright (c) 2024 Acta Scientiarum. Agronomyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessOliveira, Josiane Aparecida Viveiros de Coradi, Paulo CarteriTeodoro, Larissa Pereira Ribeiro Rodrigues , Dágila Melo Teodoro , Paulo Eduardo Moraes , Rosana Santos de 2024-02-08T19:39:02Zoai:periodicos.uem.br/ojs:article/63664Revistahttp://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:2024-02-08T19:39:02Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Multivariate statistical analysis applied to physical properties of soybean seeds cultivars on the post-harvest
Multivariate statistical analysis applied to physical properties of soybean seeds cultivars on the post-harvest
title Multivariate statistical analysis applied to physical properties of soybean seeds cultivars on the post-harvest
spellingShingle Multivariate statistical analysis applied to physical properties of soybean seeds cultivars on the post-harvest
Oliveira, Josiane Aparecida Viveiros de
equipment manufacturing industry; post-harvest loss reductions; process optimization; seed processing units; soybean seed quality.
equipment manufacturing industry; post-harvest loss reductions; process optimization; seed processing units; soybean seed quality.
title_short Multivariate statistical analysis applied to physical properties of soybean seeds cultivars on the post-harvest
title_full Multivariate statistical analysis applied to physical properties of soybean seeds cultivars on the post-harvest
title_fullStr Multivariate statistical analysis applied to physical properties of soybean seeds cultivars on the post-harvest
title_full_unstemmed Multivariate statistical analysis applied to physical properties of soybean seeds cultivars on the post-harvest
title_sort Multivariate statistical analysis applied to physical properties of soybean seeds cultivars on the post-harvest
author Oliveira, Josiane Aparecida Viveiros de
author_facet Oliveira, Josiane Aparecida Viveiros de
Coradi, Paulo Carteri
Teodoro, Larissa Pereira Ribeiro
Rodrigues , Dágila Melo
Teodoro , Paulo Eduardo
Moraes , Rosana Santos de
author_role author
author2 Coradi, Paulo Carteri
Teodoro, Larissa Pereira Ribeiro
Rodrigues , Dágila Melo
Teodoro , Paulo Eduardo
Moraes , Rosana Santos de
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Oliveira, Josiane Aparecida Viveiros de
Coradi, Paulo Carteri
Teodoro, Larissa Pereira Ribeiro
Rodrigues , Dágila Melo
Teodoro , Paulo Eduardo
Moraes , Rosana Santos de
dc.subject.por.fl_str_mv equipment manufacturing industry; post-harvest loss reductions; process optimization; seed processing units; soybean seed quality.
equipment manufacturing industry; post-harvest loss reductions; process optimization; seed processing units; soybean seed quality.
topic equipment manufacturing industry; post-harvest loss reductions; process optimization; seed processing units; soybean seed quality.
equipment manufacturing industry; post-harvest loss reductions; process optimization; seed processing units; soybean seed quality.
description To consider the different characteristics of soybean seeds for designing and regulating the post-harvest equipment, we evaluated the similarities in the physical properties of soybean cultivars in this study. Two-hundred soybean seeds from 40 genetically modified cultivars were collected in packages to measure the physical properties of the seeds. First, principal component analysis was performed to verify the interrelationships between the variables and soybean cultivars. Next, a boxplot was constructed for each variable, considering the groups obtained after analyzing the main components. Finally, a scatterplot containing the Pearson's correlations between the variables was constructed. We identified two clusters of cultivars: C1 and C2. The unit-specific mass was the physical property that contributed the most to the formation of C1, whereas the other physical properties contributed to the formation of C2. Soybean cultivars comprising C1 were similar to each other only in unit specific mass, and the cultivars allocated to group C2 were similar according to all the other properties evaluated. These results can serve as a guideline for genotype selection for soybean genetic improvement to minimize variations in the physical characteristics of the seeds and obtain greater efficiency in the processing stages. Thus, the equipment manufacturing industry and seed processing units can implement projects and equipment adjustments to manage the post-harvest and seeding processes of soybean seeds efficiently.
publishDate 2023
dc.date.none.fl_str_mv 2023-12-12
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/63664
10.4025/actasciagron.v46i1.63664
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/63664
identifier_str_mv 10.4025/actasciagron.v46i1.63664
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/63664/751375156920
dc.rights.driver.fl_str_mv Copyright (c) 2024 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 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 46 No 1 (2024): Publicação contínua; e63664
Acta Scientiarum. Agronomy; v. 46 n. 1 (2024): Publicação contínua; e63664
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
_version_ 1799305901382828032