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| Registros recuperados : 66 | |
| 9. |  | ZILLI, J. E.; PACHECO, R. S.; GIANLUPPI, V.; SMIDERLE, O. J.; URQUIAGA, S.; HUNGRIA, M. Biological N2 fixation and yield performance of soybean inoculated with Bradyrhizobium. Nutrient Cycling in Agroecosystems, v. 119, p. 323-336, 2021. Supplementary Material: Bradyrhizobium inoculation, N2 fixation and yield performance of soybean in the
Amazonian savanna of northern Brazil.| Biblioteca(s): Embrapa Agrobiologia; Embrapa Roraima; Embrapa Soja. |
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| 14. | | PACHECO, R. S.; BRITO, L. F. de; PÉREZ, D. V.; STRALIOTTO, R.; ARAÚJO, A. P. Produção de biomassa de feijoeiro originado de sementes com diferentes teores de fósforo e molibdênio em condições de campo. In: REUNIÃO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRIÇÃO DE PLANTAS, 29.; REUNIÃO BRASILEIRA SOBRE MICORRIZAS, 13.; SIMPÓSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 11.; REUNIÃO BRASILEIRA DE BIOLOGIA DO SOLO, 8., 2010, Guarapari. Fontes de nutrientes e produção agrícola: modelando o futuro: anais. Viçosa: SBCS, 2010. 1 CD-ROM.| Biblioteca(s): Embrapa Agrobiologia. |
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| 17. | | PACHECO, R. S.; BRITO, L. F. de; PÉREZ, D. V.; STRALIOTTO, R.; ARAÚJO, A. P. Produção de grãos de feijoeiro originado de sementes com diferentes teores de fósforo e molibdênio em condições de campo. In: REUNIÃO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRIÇÃO DE PLANTAS, 29.; REUNIÃO BRASILEIRA SOBRE MICORRIZAS, 13.; SIMPÓSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 11.; REUNIÃO BRASILEIRA DE BIOLOGIA DO SOLO, 8., 2010, Guarapari. Fontes de nutrientes e produção agrícola: modelando o futuro: anais. Viçosa: SBCS, 2010. 1 CD-ROM.| Biblioteca(s): Embrapa Agrobiologia. |
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| Registros recuperados : 66 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Instrumentação. |
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Data corrente: |
10/04/2021 |
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Data da última atualização: |
01/02/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
SANT'ANNA, I. C.; GOUVÊA, L. R. L.; MARTINS, M. A.; SCALOPPI JUNIOR, E. J.; FREITAS, R. S.; GONÇALVES, P. S. |
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Afiliação: |
MARIA ALICE MARTINS, CNPDIA. |
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Título: |
Genetic diversity associated with natural rubber quality in elite genotypes of the rubber tree. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
ScientifIc Reports, v. 11, ed. 1, 1081, 2021. |
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Páginas: |
1 - 10 |
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DOI: |
https://doi.org/10.1038/s41598-020-80110-w |
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Idioma: |
Inglês |
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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 |
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Palavras-Chave: |
Amazon region; Rubber agricultural. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/222465/1/P-Genetic-diversity-associated-....pdf
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Marc: |
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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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