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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Isabela de Castro Sant’Anna, Ligia Regina Lima Gouvêa, Maria Alice Martins, Erivaldo José Scaloppi Junior, Rogério Soares de Freitas, Paulo de Souza Gonçalves
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/35af4e11c9404c0ebe15260c6a810bef
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:35af4e11c9404c0ebe15260c6a810bef
record_format	dspace
spelling	oai:doaj.org-article:35af4e11c9404c0ebe15260c6a810bef2021-12-02T15:22:59ZGenetic diversity associated with natural rubber quality in elite genotypes of the rubber tree10.1038/s41598-020-80110-w2045-2322https://doaj.org/article/35af4e11c9404c0ebe15260c6a810bef2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-80110-whttps://doaj.org/toc/2045-2322Abstract 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.Isabela de Castro Sant’AnnaLigia Regina Lima GouvêaMaria Alice MartinsErivaldo José Scaloppi JuniorRogério Soares de FreitasPaulo de Souza GonçalvesNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q 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
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.
format	article
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
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 Portfolio
publishDate	2021
url	https://doaj.org/article/35af4e11c9404c0ebe15260c6a810bef
work_keys_str_mv	AT isabeladecastrosantanna geneticdiversityassociatedwithnaturalrubberqualityinelitegenotypesoftherubbertree AT ligiareginalimagouvea geneticdiversityassociatedwithnaturalrubberqualityinelitegenotypesoftherubbertree AT mariaalicemartins geneticdiversityassociatedwithnaturalrubberqualityinelitegenotypesoftherubbertree AT erivaldojosescaloppijunior geneticdiversityassociatedwithnaturalrubberqualityinelitegenotypesoftherubbertree AT rogeriosoaresdefreitas geneticdiversityassociatedwithnaturalrubberqualityinelitegenotypesoftherubbertree AT paulodesouzagoncalves geneticdiversityassociatedwithnaturalrubberqualityinelitegenotypesoftherubbertree
_version_	1718387377020338176

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

Ejemplares similares