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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Corte. Para informações adicionais entre em contato com cnpgc.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Corte. |
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Data corrente: |
22/11/2017 |
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Data da última atualização: |
22/11/2017 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
MATIAS, F. I.; BARRIOS, S. C. L.; VALLE, C. B. do; FRITSCHE-NETO, R.; CANDIDO, A. R.; BRAGA, B. A. S. |
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Afiliação: |
FILIPE INÁCIO MATIAS, Escola Superior de Agricultura Luiz de Queiroz/Universidade de São Paulo; SANZIO CARVALHO LIMA BARRIOS, CNPGC; CACILDA BORGES DO VALLE, CNPGC; ROBERTO FRITSCHE-NETO, Escola Superior de Agricultura Luiz de Queiroz/Universidade de São Paulo; ANDERSON RAMIRES CANDIDO, Universidade Estadual do Mato Grosso do Sul - UEMS; BRUNNA ANNELLIESE SILVEIRA BRAGA, Universidade Católica Dom Bosco - UCDB. |
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Título: |
Selection of Brachiaria hybrids using indices. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 9., 2017, Foz de Iguaçu. Melhoramento de plantas: projetando o futuro: resumos das palestras. |
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Páginas: |
p. 634 |
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Idioma: |
Inglês |
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Conteúdo: |
The objective here was to evaluate the use of the Mulamba and Mock index in two different ways in hybrid selection. |
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Palavras-Chave: |
Biplot; Mulamba and mock; Principal components. |
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Thesagro: |
Brachiaria; Híbrido. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00871nam a2200241 a 4500
001 2080485
005 2017-11-22
008 2017 bl uuuu u00u1 u #d
100 1 $aMATIAS, F. I.
245 $aSelection of Brachiaria hybrids using indices.$h[electronic resource]
260 $aIn: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 9., 2017, Foz de Iguaçu. Melhoramento de plantas: projetando o futuro: resumos das palestras.$c2017
300 $ap. 634
520 $aThe objective here was to evaluate the use of the Mulamba and Mock index in two different ways in hybrid selection.
650 $aBrachiaria
650 $aHíbrido
653 $aBiplot
653 $aMulamba and mock
653 $aPrincipal components
700 1 $aBARRIOS, S. C. L.
700 1 $aVALLE, C. B. do
700 1 $aFRITSCHE-NETO, R.
700 1 $aCANDIDO, A. R.
700 1 $aBRAGA, B. A. S.
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Registro original: |
Embrapa Gado de Corte (CNPGC) |
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Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
18/02/2011 |
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Data da última atualização: |
07/07/2011 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
ALVARENGA, S. M.; CAIXETA, E. T.; HUFNAGEL, B.; THIEBAUT, F.; ZAMBOLIM, E. M.; ZAMBOLIM, L.; SAKIYAMA, N. S. |
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Afiliação: |
SAMUEL MAZZINGHY ALVARENGA, Universidade Federal de Viçosa; EVELINE TEIXEIRA CAIXETA, SAPC; BÁRBARA HUFNAGEL, Universidade Federal de Viçosa; FLÁVIA THIEBAUT, Universidade Federal de Viçosa; EUNIZE MACIEL ZAMBOLIM, Universidade Federal de Viçosa; LAÉRCIO ZAMBOLIM, Universidade Federal de Viçosa; NEY SUSSUMU SAKIYAMA, Universidade Federal de Viçosa. |
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Título: |
In silico identification of coffee genome expressed sequences potentially associated with resistance to diseases. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
GENETICS AND MOLECULAR BIOLOGY, v. 33, n.4, p. 795-806. 2010. |
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Páginas: |
795-806 |
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Idioma: |
Inglês |
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Conteúdo: |
Sequences potentially associated with coffee resistance to diseases were identified by in silico analyses using the database of the Brazilian Coffee Genome Project (BCGP). Keywords corresponding to plant resistance mechanisms to pathogens identified in the literature were used as baits for data mining. Expressed sequence tags (ESTs) related to each of these keywords were identified with tools available in the BCGP bioinformatics platform. A total of 11,300 ESTs were mined. These ESTs were clustered and formed 979 EST-contigs with similarities to chitinases, kinases, cytochrome P450 and nucleotide binding site-leucine rich repeat (NBS-LRR) proteins, as well as with proteins related to disease resistance, pathogenesis, hypersensitivity response (HR) and plant defense responses to diseases. The 140 EST-contigs identified through the keyword NBS-LRR were classified according to function. This classification allowed association of the predicted products of EST-contigs with biological processes, including host defense and apoptosis, and with molecular functions such as nucleotide binding and signal transducer activity. Fisher?s exact test was used to examine the significance of differences in contig expression between libraries representing the responses to biotic stress challenges and other libraries from the BCGP. This analysis revealed seven contigs highly similar to catalase, chitinase, protein with a BURP domain and unknown proteins. The involvement of these coffee proteins in plant responses to disease is discussed. K MenosSequences potentially associated with coffee resistance to diseases were identified by in silico analyses using the database of the Brazilian Coffee Genome Project (BCGP). Keywords corresponding to plant resistance mechanisms to pathogens identified in the literature were used as baits for data mining. Expressed sequence tags (ESTs) related to each of these keywords were identified with tools available in the BCGP bioinformatics platform. A total of 11,300 ESTs were mined. These ESTs were clustered and formed 979 EST-contigs with similarities to chitinases, kinases, cytochrome P450 and nucleotide binding site-leucine rich repeat (NBS-LRR) proteins, as well as with proteins related to disease resistance, pathogenesis, hypersensitivity response (HR) and plant defense responses to diseases. The 140 EST-contigs identified through the keyword NBS-LRR were classified according to function. This classification allowed association of the predicted products of EST-contigs with biological processes, including host defense and apoptosis, and with molecular functions such as nucleotide binding and signal transducer activity. Fisher?s exact test was used to examine the significance of differences in contig expression between libraries representing the responses to biotic stress challenges and other libraries from the BCGP. This analysis revealed seven contigs highly similar to catalase, chitinase, protein with a BURP domain and unknown proteins. The involvement of these coffee proteins i... Mostrar Tudo |
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Palavras-Chave: |
Data mining; ESTs. |
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Thesaurus NAL: |
Bioinformatics; Coffea; Genomics. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/29344/1/In-silico-identification.pdf
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Marc: |
LEADER 02301naa a2200265 a 4500
001 1880494
005 2011-07-07
008 2010 bl uuuu u00u1 u #d
100 1 $aALVARENGA, S. M.
245 $aIn silico identification of coffee genome expressed sequences potentially associated with resistance to diseases.$h[electronic resource]
260 $c2010
300 $a795-806
520 $aSequences potentially associated with coffee resistance to diseases were identified by in silico analyses using the database of the Brazilian Coffee Genome Project (BCGP). Keywords corresponding to plant resistance mechanisms to pathogens identified in the literature were used as baits for data mining. Expressed sequence tags (ESTs) related to each of these keywords were identified with tools available in the BCGP bioinformatics platform. A total of 11,300 ESTs were mined. These ESTs were clustered and formed 979 EST-contigs with similarities to chitinases, kinases, cytochrome P450 and nucleotide binding site-leucine rich repeat (NBS-LRR) proteins, as well as with proteins related to disease resistance, pathogenesis, hypersensitivity response (HR) and plant defense responses to diseases. The 140 EST-contigs identified through the keyword NBS-LRR were classified according to function. This classification allowed association of the predicted products of EST-contigs with biological processes, including host defense and apoptosis, and with molecular functions such as nucleotide binding and signal transducer activity. Fisher?s exact test was used to examine the significance of differences in contig expression between libraries representing the responses to biotic stress challenges and other libraries from the BCGP. This analysis revealed seven contigs highly similar to catalase, chitinase, protein with a BURP domain and unknown proteins. The involvement of these coffee proteins in plant responses to disease is discussed. K
650 $aBioinformatics
650 $aCoffea
650 $aGenomics
653 $aData mining
653 $aESTs
700 1 $aCAIXETA, E. T.
700 1 $aHUFNAGEL, B.
700 1 $aTHIEBAUT, F.
700 1 $aZAMBOLIM, E. M.
700 1 $aZAMBOLIM, L.
700 1 $aSAKIYAMA, N. S.
773 $tGENETICS AND MOLECULAR BIOLOGY$gv. 33, n.4, p. 795-806. 2010.
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