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| Registros recuperados : 30 | |
| 6. |  | GOUVEA, L.; QUERINO, R.; SOSA-GÓMEZ, D.R. Incidência natural de Trichogramma pretiosum em ovos de Anticarsia gemmatalis coletados na soja. In: CONGRESSO BRASILEIRO DE SOJA, 5.; MERCOSOJA 2009, Goiânia. Resumos... Londrina: Embrapa Soja, 2009. p. 152, trab. 266. Editado por Adilson de Oliveira Júnior, Odilon Ferreira Saraiva, Clara Beatriz Hoffmann Campo, César de Castro| Biblioteca(s): Embrapa Soja. |
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| 9. | | GOUVÊA, L. R. L.; SILVA, G. A. P.; JUNIOR, E. J. S.; GONÇALVES, P. de S. Different methods to assess yield temporal stability in rubber. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 46, n. 5, p. 491-498, maio 2011 Título em português: Diferentes métodos para avaliar a estabilidade temporal do rendimento em seringueira.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 10. | | TAKACHI, M. T.; SIQUEIRA, F.; GOUVEA, L. M.; SOSA-GÓMEZ, D. R. Dinâmica populacional do ácaro verde Mononychellus planki em cultivares de soja. In: JORNADA ACADÊMICA DA EMBRAPA SOJA, 5., 2010, Londrina. Resumos... Londrina: Embrapa Soja, 2010. p. 121-123. (Embrapa Soja. Documentos, 323). Editado por Odilon Ferreira Saraiva, Paula Geron Saiz Melo.| Biblioteca(s): Embrapa Soja. |
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| 11. | | GOUVEA, L. M.; QUERINO DA SILVA, R. B.; SOSA-GOMEZ, D. R. Incidência natural de Trichogramma pretiosum em ovos de Anticarsia gemmatalis coletados na soja. In: CONGRESSO BRASILEIRO DE SOJA, 5.; MERCOSOJA 2009, Goiânia. Anais... Londrina: Embrapa Soja, 2009. Seção trabalhos, t. 266. 1 CD-ROM. Editado por Adilson de Oliveira Júnior, Odilon Ferreira Saraiva, Clara Beatriz Hoffmann Campo, César de Castro.| Biblioteca(s): Embrapa Soja. |
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| 12. | | SANT'ANNA, I. C.; GOUVÊA, L. R. L.; MARTINS, M. A.; SCALOPPI JUNIOR, E. J.; FREITAS, R. S.; GONÇALVES, P. S. Genetic diversity associated with natural rubber quality in elite genotypes of the rubber tree. ScientifIc Reports, v. 11, ed. 1, 1081, 2021. 1 - 10| Biblioteca(s): Embrapa Instrumentação. |
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| 13. | | VERARDI, C. K.; SCALOPPI JUNIOR, E. J.; SILVA, G. A P.; GOUVÊA, L. R. L.; GONÇALVES, P. de S. Genetic parameters and estimated genetic gains in young rubber tree progenies. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 48, n. 4, p. 411-416, abr. 2013. Título em português: Parâmetros genéticos e ganhos de seleção estimados em progênies jovens de seringueira.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 15. | | ROGGIA, S.; SOSA-GOMEZ, D. R.; KUSS-ROGGIA, R. C. R.; GOUVEA, L. M.; PEREIRA, J. P. V. Manejo racional. Cultivar Grandes Culturas, Pelotas, v. 14, n. 158, p. 8-10, jul. 2012. Caderno Técnico Soja.| Biblioteca(s): Embrapa Soja. |
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| 16. | | CUNHA JÚNIOR, P. C. da C.; OLIVEIRA, L. S. de; GOUVÊA, L. de P.; ALCANTARA, M. de; ROSENTHAL, A.; FERREIRA, E. H. da R. Symbiotic drink based on Brazil nuts (Bertholletia excelsa H.B.K): production, characterization, probiotic viability and sensory acceptance Ciência Rural, Santa Maria, v. 51, n. 2, e2021. p. 1-14. Bebida simbiótica à base de castanha-do-Brasil (Bertholletia excelsa H.B.K): produção, caracterização, viabilidade probiótica e aceitação sensorial.| Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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| 20. | | TEIXEIRA, A. L. de S.; SILVA, W. B. da; GOUVÊA, L. V. de; SOUZA, G. N. de; ALMOSNY, N. R. P.; ALENCAR, N. X. de. Adiponectin levels in captive Owl Monkeys (Aotus sp.). Journal of Medical Primatology, v. 52, n. 3, p. 186-189, 2023.| Biblioteca(s): Embrapa Gado de Leite. |
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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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