|
|
Registros recuperados : 5 | |
1. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | GUEDES, J. V. C.; ROGGIA, S.; KUSS, R. C. R.; VASCONCELOS, G. J. N.; NÁVIA, D. Ácaros fitoseídeos associados a soja do Rio Grande do Sul, Brasil. In: SIMPÓSIO DE CONTROLE BIOLÓGICO, 10., 2007, Brasília, DF. Inovar para preservar a vida. Resumos. Brasília, DF: Embrapa Recursos Genéticos e Biotecnologia, 2007. (Embrapa Recursos Genéticos e Biotecnologia. Documentos, 250). ID 550. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
| ![Visualizar detalhes do registro](/consulta/web/img/visualizar.png) ![Imprime registro no formato completo](/consulta/web/img/print.png) |
2. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | ROGGIA, S.; GUEDES, J. V. C.; KUSS, R. C. R.; ARNEMANN, J. A.; NAVIA, D. Spider mites associated to soybean in Rio Grande do Sul, Brazil. Pesquisa Agropecuaria Brasileira, Brasília, DF, v. 43, n. 3, p. 295-301, mar. 2008. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia; Embrapa Unidades Centrais. |
| ![Visualizar detalhes do registro](/consulta/web/img/visualizar.png) ![Acesso ao objeto digital](/consulta/web/img/pdf.png) ![Imprime registro no formato completo](/consulta/web/img/print.png) |
3. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | KUSS, R. C. R.; KONIG, O.; DUTRA, L. M. C.; BELLÉ, R. A.; ROGGIA, S.; STURNER, G. R. Populações de plantas e estratégias de manejo de irrigação na cultura da soja. Ciência Rural, Santa Maria, v. 38, n. 4, p. 1133-1137, 2008. p. 1133-1137. Biblioteca(s): Embrapa Soja. |
| ![Visualizar detalhes do registro](/consulta/web/img/visualizar.png) ![Acesso ao objeto digital](/consulta/web/img/pdf.png) ![Imprime registro no formato completo](/consulta/web/img/print.png) |
4. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | KUSS, R. C. R.; GUEDES, J. V. C.; CORRÊA-FERREIRA, B. S.; PERRINI, C. R.; PEREIRA, E.; BENTO, J. M. S. Comportamento de ninfas de Piezodorus guildinii (Westwood, 1837) (Hemiptera: Pentatomidae) na cultura da soja Glycine max (L.) Merrill ao longo do dia. In: ENCONTRO BRASILEIRO DE ECOLOGIA QUÍMICA, 5., 2007, Londrina. Resumos... Londrina: Embrapa Soja, 2007. p. 122. Organizado por Clara Beatriz Hoffmann-Campo, Odilon Ferreira Saraiva, Lenita Jacob Oliveira, Odilon Ferreira Saraiva, Simone Ery Grosskopf. Biblioteca(s): Embrapa Soja. |
| ![Visualizar detalhes do registro](/consulta/web/img/visualizar.png) ![Imprime registro no formato completo](/consulta/web/img/print.png) |
5. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | KUSS, R. C. R.; GUEDES, J. V. C.; CORRÊA-FERREIRA, B. S.; PERINI, C. R.; ARNEMANN, J. A.; BERNARDI NETO, A. Proporção de espécies de percevejos ao longo do ciclo da soja em Santa Maria, RS. In: CONGRESSO BRASILEIRO DE ENTOMOLOGIA, 22., 2008, Uberlândia. Ciência, tecnologia e inovação: anais. Viçosa, MG: UFV, 2008. 1 CD-ROM. Resumo 1643-2. Biblioteca(s): Embrapa Soja. |
| ![Visualizar detalhes do registro](/consulta/web/img/visualizar.png) ![Imprime registro no formato completo](/consulta/web/img/print.png) |
Registros recuperados : 5 | |
|
|
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 |
Circulação/Nível: |
A - 1 |
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
|
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.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Instrumentação (CNPDIA) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
Nenhum registro encontrado para a expressão de busca informada. |
|
|