Multivariate statistical analysis applied to physical properties of soybean seeds cultivars on the post-harvest
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , |
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. |
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Acta Scientiarum. Agronomy (Online) |
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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 |