Genetic diversity associated with natural rubber quality in elite genotypes of the rubber tree.

Detalhes bibliográficos
Autor(a) principal: SANT'ANNA, I. C.
Data de Publicação: 2021
Outros Autores: GOUVÊA, L. R. L., MARTINS, M. A., SCALOPPI JUNIOR, E. J., FREITAS, R. S., GONÇALVES, P. S.
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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spelling 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
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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
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dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
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