Genetic diversity associated with natural rubber quality in elite genotypes of the rubber tree
Abstract 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...
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2021-01-01
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doaj-35af4e11c9404c0ebe15260c6a810bef2021-01-17T12:34:18ZengNature Publishing GroupScientific Reports2045-23222021-01-0111111010.1038/s41598-020-80110-wGenetic diversity associated with natural rubber quality in elite genotypes of the rubber treeIsabela de Castro Sant’Anna0Ligia Regina Lima Gouvêa1Maria Alice Martins2Erivaldo José Scaloppi Junior3Rogério Soares de Freitas4Paulo de Souza Gonçalves5Center of Rubber Tree and Agroforestry Systems, Agronomic Institute (IAC)Agronomic Institute, Seringueira ProgramEmbrapa Instrumentation, Nanotechnology National Laboratory for Agriculture (LNNA)Center of Rubber Tree and Agroforestry Systems, Agronomic Institute (IAC)Center of Rubber Tree and Agroforestry Systems, Agronomic Institute (IAC)Agronomic Institute, Seringueira ProgramAbstract 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 classified 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 offer 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.https://doi.org/10.1038/s41598-020-80110-w |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Isabela de Castro Sant’Anna Ligia Regina Lima Gouvêa Maria Alice Martins Erivaldo José Scaloppi Junior Rogério Soares de Freitas Paulo de Souza Gonçalves |
spellingShingle |
Isabela de Castro Sant’Anna Ligia Regina Lima Gouvêa Maria Alice Martins Erivaldo José Scaloppi Junior Rogério Soares de Freitas Paulo de Souza Gonçalves Genetic diversity associated with natural rubber quality in elite genotypes of the rubber tree Scientific Reports |
author_facet |
Isabela de Castro Sant’Anna Ligia Regina Lima Gouvêa Maria Alice Martins Erivaldo José Scaloppi Junior Rogério Soares de Freitas Paulo de Souza Gonçalves |
author_sort |
Isabela de Castro Sant’Anna |
title |
Genetic diversity associated with natural rubber quality in elite genotypes of the rubber tree |
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 |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2021-01-01 |
description |
Abstract 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 classified 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 offer 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. |
url |
https://doi.org/10.1038/s41598-020-80110-w |
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