Genetic diversity associated with natural rubber quality in elite genotypes of the rubber tree.
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131194 https://doi.org/10.1038/s41598-020-80110-w |
Resumo: | The objective of this study was to evaluate the genetic variability of natural rubber latex traits among 44 elite genotypes of the rubber tree [Hevea brasiliensis (Willd. ex Adr. de Juss.) Müell. Arg.]. Multivariate analysis and machine learning techniques were used, targeting the selection of parents that demonstrate superior characters. We analyzed traits related to technological or physicochemical properties of natural rubber latex, such as Wallace plasticity (P0), the plasticity retention index [PRI (%)], Mooney viscosity (VR), ash percentage (Ash), acetone extract percentage (AE), and nitrogen percentage (N), to study genetic diversity. Multivariate [unweighted pair group method with arithmetic means (UPGMA) and Tocher)] and machine learning techniques [K-means and Kohonen’s self-organizing maps (SOMs)] were employed. The genotypes showed high genetic variability for some of the evaluated traits. The traits PRI, Ash, and PO contributed the most to genetic diversity. The genotypes were classifed into six clusters by the UPGMA method, and the results were consistent with the Tocher, K-means and SOM results. PRI can be used to improve the industrial potential of clones. The clones IAC 418 and PB 326 were the most divergent, followed by IAC 404 and IAC 56. These genotypes and others from the IAC 500 and 400 series could be used to start a breeding program. These combinations ofer greater heterotic potential than the others, which can be used to improve components of rubber latex quality. Thus, it is important to consider the quality of rubber latex in the early stage of breeding programs |
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Genetic diversity associated with natural rubber quality in elite genotypes of the rubber tree.Amazon regionRubber agriculturalThe objective of this study was to evaluate the genetic variability of natural rubber latex traits among 44 elite genotypes of the rubber tree [Hevea brasiliensis (Willd. ex Adr. de Juss.) Müell. Arg.]. Multivariate analysis and machine learning techniques were used, targeting the selection of parents that demonstrate superior characters. We analyzed traits related to technological or physicochemical properties of natural rubber latex, such as Wallace plasticity (P0), the plasticity retention index [PRI (%)], Mooney viscosity (VR), ash percentage (Ash), acetone extract percentage (AE), and nitrogen percentage (N), to study genetic diversity. Multivariate [unweighted pair group method with arithmetic means (UPGMA) and Tocher)] and machine learning techniques [K-means and Kohonen’s self-organizing maps (SOMs)] were employed. The genotypes showed high genetic variability for some of the evaluated traits. The traits PRI, Ash, and PO contributed the most to genetic diversity. The genotypes were classifed into six clusters by the UPGMA method, and the results were consistent with the Tocher, K-means and SOM results. PRI can be used to improve the industrial potential of clones. The clones IAC 418 and PB 326 were the most divergent, followed by IAC 404 and IAC 56. These genotypes and others from the IAC 500 and 400 series could be used to start a breeding program. These combinations ofer greater heterotic potential than the others, which can be used to improve components of rubber latex quality. Thus, it is important to consider the quality of rubber latex in the early stage of breeding programsMARIA ALICE MARTINS, CNPDIA.SANT'ANNA, I. C.GOUVÊA, L. R. L.MARTINS, M. A.SCALOPPI JUNIOR, E. J.FREITAS, R. S.GONÇALVES, P. S.2023-04-12T14:07:53Z2023-04-12T14:07:53Z2021-04-102021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1 - 10ScientifIc Reports, v. 11, ed. 1, 1081, 2021.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131194https://doi.org/10.1038/s41598-020-80110-wenginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2023-04-12T14:07:53Zoai:www.alice.cnptia.embrapa.br:doc/1131194Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542023-04-12T14:07:53falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542023-04-12T14:07:53Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Genetic diversity associated with natural rubber quality in elite genotypes of the rubber tree. |
title |
Genetic diversity associated with natural rubber quality in elite genotypes of the rubber tree. |
spellingShingle |
Genetic diversity associated with natural rubber quality in elite genotypes of the rubber tree. SANT'ANNA, I. C. Amazon region Rubber agricultural |
title_short |
Genetic diversity associated with natural rubber quality in elite genotypes of the rubber tree. |
title_full |
Genetic diversity associated with natural rubber quality in elite genotypes of the rubber tree. |
title_fullStr |
Genetic diversity associated with natural rubber quality in elite genotypes of the rubber tree. |
title_full_unstemmed |
Genetic diversity associated with natural rubber quality in elite genotypes of the rubber tree. |
title_sort |
Genetic diversity associated with natural rubber quality in elite genotypes of the rubber tree. |
author |
SANT'ANNA, I. C. |
author_facet |
SANT'ANNA, I. C. GOUVÊA, L. R. L. MARTINS, M. A. SCALOPPI JUNIOR, E. J. FREITAS, R. S. GONÇALVES, P. S. |
author_role |
author |
author2 |
GOUVÊA, L. R. L. MARTINS, M. A. SCALOPPI JUNIOR, E. J. FREITAS, R. S. GONÇALVES, P. S. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
MARIA ALICE MARTINS, CNPDIA. |
dc.contributor.author.fl_str_mv |
SANT'ANNA, I. C. GOUVÊA, L. R. L. MARTINS, M. A. SCALOPPI JUNIOR, E. J. FREITAS, R. S. GONÇALVES, P. S. |
dc.subject.por.fl_str_mv |
Amazon region Rubber agricultural |
topic |
Amazon region Rubber agricultural |
description |
The objective of this study was to evaluate the genetic variability of natural rubber latex traits among 44 elite genotypes of the rubber tree [Hevea brasiliensis (Willd. ex Adr. de Juss.) Müell. Arg.]. Multivariate analysis and machine learning techniques were used, targeting the selection of parents that demonstrate superior characters. We analyzed traits related to technological or physicochemical properties of natural rubber latex, such as Wallace plasticity (P0), the plasticity retention index [PRI (%)], Mooney viscosity (VR), ash percentage (Ash), acetone extract percentage (AE), and nitrogen percentage (N), to study genetic diversity. Multivariate [unweighted pair group method with arithmetic means (UPGMA) and Tocher)] and machine learning techniques [K-means and Kohonen’s self-organizing maps (SOMs)] were employed. The genotypes showed high genetic variability for some of the evaluated traits. The traits PRI, Ash, and PO contributed the most to genetic diversity. The genotypes were classifed into six clusters by the UPGMA method, and the results were consistent with the Tocher, K-means and SOM results. PRI can be used to improve the industrial potential of clones. The clones IAC 418 and PB 326 were the most divergent, followed by IAC 404 and IAC 56. These genotypes and others from the IAC 500 and 400 series could be used to start a breeding program. These combinations ofer greater heterotic potential than the others, which can be used to improve components of rubber latex quality. Thus, it is important to consider the quality of rubber latex in the early stage of breeding programs |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-04-10 2021 2023-04-12T14:07:53Z 2023-04-12T14:07:53Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
ScientifIc Reports, v. 11, ed. 1, 1081, 2021. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131194 https://doi.org/10.1038/s41598-020-80110-w |
identifier_str_mv |
ScientifIc Reports, v. 11, ed. 1, 1081, 2021. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131194 https://doi.org/10.1038/s41598-020-80110-w |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1 - 10 |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503543155064832 |