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Registro Completo |
Biblioteca(s): |
Embrapa Instrumentação. |
Data corrente: |
10/04/2021 |
Data da última atualização: |
01/02/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
SANT'ANNA, I. C.; GOUVÊA, L. R. L.; MARTINS, M. A.; SCALOPPI JUNIOR, E. J.; FREITAS, R. S.; GONÇALVES, P. S. |
Afiliação: |
MARIA ALICE MARTINS, CNPDIA. |
Título: |
Genetic diversity associated with natural rubber quality in elite genotypes of the rubber tree. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
ScientifIc Reports, v. 11, ed. 1, 1081, 2021. |
Páginas: |
1 - 10 |
DOI: |
https://doi.org/10.1038/s41598-020-80110-w |
Idioma: |
Inglês |
Conteúdo: |
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 MenosThe 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 ... Mostrar Tudo |
Palavras-Chave: |
Amazon region; Rubber agricultural. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/222465/1/P-Genetic-diversity-associated-....pdf
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Marc: |
LEADER 02330naa a2200229 a 4500 001 2131194 005 2023-02-01 008 2021 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1038/s41598-020-80110-w$2DOI 100 1 $aSANT'ANNA, I. C. 245 $aGenetic diversity associated with natural rubber quality in elite genotypes of the rubber tree.$h[electronic resource] 260 $c2021 300 $a1 - 10 520 $aThe 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 653 $aAmazon region 653 $aRubber agricultural 700 1 $aGOUVÊA, L. R. L. 700 1 $aMARTINS, M. A. 700 1 $aSCALOPPI JUNIOR, E. J. 700 1 $aFREITAS, R. S. 700 1 $aGONÇALVES, P. S. 773 $tScientifIc Reports$gv. 11, ed. 1, 1081, 2021.
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Registro original: |
Embrapa Instrumentação (CNPDIA) |
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Registro Completo
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
08/11/2000 |
Data da última atualização: |
08/06/2018 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
PITTA, G. V. E.; BALIGAR, V. C.; CLARK, R. B.; RITCHIE, K. D.; ALVES, V. M. C.; VASCONCELLOS, C. A. |
Afiliação: |
VERA MARIA CARVALHO ALVES, CNPMS; EMBRAPA-CNPMS. |
Título: |
Avaliação do pH da rizosfera em dois genótipos de sorgo, em três saturações de alumínio e três níveis de potássio. |
Ano de publicação: |
2000 |
Fonte/Imprenta: |
In: REUNIAO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRICAO DE PLANTAS, 24.; REUNIAO BRASILEIRA SOBRE MICORRIZAS, 8.; SIMPOSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 6.; REUNIAO BRASILEIRA DE BIOLOGIA DO SOLO, 3., 2000, Santa Maria, RS. Biodinâmica do solo: guia do congressista. [Viçosa, MG]: Sociedade Brasileira de Ciência do Solo; [São Paulo]: Sociedade Brasileira de Microbiologia; Santa Maria, RS: Universidade Federal de Santa Maria, Departamento de Solos, 2000. Fertbio 2000. p. 57. |
Idioma: |
Português |
Palavras-Chave: |
Aluminium. |
Thesagro: |
Alumínio; Ph; Potássio; Rizosfera; Solo Ácido; Sorghum Bicolor; Sorgo. |
Thesaurus NAL: |
acid soils; potassium; rhizosphere. |
Categoria do assunto: |
W Química e Física |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/45137/1/Avaliacao-pH.pdf
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Marc: |
LEADER 01275nam a2200289 a 4500 001 1484409 005 2018-06-08 008 2000 bl uuuu u00u1 u #d 100 1 $aPITTA, G. V. E. 245 $aAvaliação do pH da rizosfera em dois genótipos de sorgo, em três saturações de alumínio e três níveis de potássio.$h[electronic resource] 260 $aIn: REUNIAO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRICAO DE PLANTAS, 24.; REUNIAO BRASILEIRA SOBRE MICORRIZAS, 8.; SIMPOSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 6.; REUNIAO BRASILEIRA DE BIOLOGIA DO SOLO, 3., 2000, Santa Maria, RS. Biodinâmica do solo: guia do congressista. [Viçosa, MG]: Sociedade Brasileira de Ciência do Solo; [São Paulo]: Sociedade Brasileira de Microbiologia; Santa Maria, RS: Universidade Federal de Santa Maria, Departamento de Solos, 2000. Fertbio 2000. p. 57.$c2000 650 $aacid soils 650 $apotassium 650 $arhizosphere 650 $aAlumínio 650 $aPh 650 $aPotássio 650 $aRizosfera 650 $aSolo Ácido 650 $aSorghum Bicolor 650 $aSorgo 653 $aAluminium 700 1 $aBALIGAR, V. C. 700 1 $aCLARK, R. B. 700 1 $aRITCHIE, K. D. 700 1 $aALVES, V. M. C. 700 1 $aVASCONCELLOS, C. A.
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Embrapa Milho e Sorgo (CNPMS) |
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