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 | Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
28/06/2022 |
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Data da última atualização: |
28/06/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
WALKER, P. J.; ASTUA, J. de F.; BEJERMAN, N.; BLASDELL.; BREYTA, R.; FOOKS, A. R.; KONDO, H.; KURATH, G.; KUZMIN, I. V.; RAMOS-GONZÁLEZ, P. L.; SHI, M.; STONE, D. M.; TESH, R. B.; TORDO, N.; VASILAKIS, N.; WHITFIELD, A. E. |
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Afiliação: |
PETER J. WALKER, School of Chemistry and Molecular Biosciences, University of Queensland; JULIANA DE FREITAS ASTUA, CNPMF; NICOLAS BEJERMAN, CONICET; KIM R. BLASDELL, CSIRO Health and Biosecurity; RACHEL BREYTA, Queensland Alliance for Agriculture and Food Innovation; ANTHONY R. FOOKS, Animal and Plant Health Agency Addlestone; HIDEKI KONDO, Institute of Plant Science and Resources, Okayama University; GAEL KURATH, Western Fisheries Research Center; IVAN V. KUZMIN, University of Texas Medical Branch; PEDRO LUIS RAMOS-GONZÁLEZ, Instituto Biológico, São Paulo; MANG SHI, Sun Yat Sen University, Guangzhou; DAVID M. STONE, Centre for Environment, Fisheries and Aquaculture Science; ROBERT B. TESH, University of Texas Medical Branch; NOËL TORDO, Institut Pasteur de Guinée, Gamal Abdel Nasser University; NIKOS VASILAKIS, University of Texas Medical Branch; ANNA E. WHITFIELD, Department of Entomology and Plant Pathology, North Carolina State University. |
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Título: |
ICTV Virus Taxonomy Profile: Rhabdoviridae 2022. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Journal of General Virology, jun. v.103, n. 6, 2022. |
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ISSN: |
0022-1317 |
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Idioma: |
Inglês |
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Conteúdo: |
The family Rhabdoviridae comprises viruses with negative-sense (?) RNA genomes of 10?16 kb. Virions are typically enveloped with bullet-shaped or bacilliform morphology but can also be non-enveloped filaments. Rhabdoviruses infect plants or animals, including mammals, birds, reptiles, amphibians or fish, as well as arthropods, which serve as single hosts or act as biological vectors for transmission to animals or plants. Rhabdoviruses include important pathogens of humans, livestock, fish or agricultural crops. This is a summary of the International Committee on Taxonomy of Viruses (ICTV) Report on the family Rhabdoviridae, which is available. at ictv.global/report/rhabdoviridae. |
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Thesagro: |
Taxonomia; Taxonomia Vegetal; Vírus. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01580naa a2200349 a 4500
001 2144326
005 2022-06-28
008 2022 bl uuuu u00u1 u #d
022 $a0022-1317
100 1 $aWALKER, P. J.
245 $aICTV Virus Taxonomy Profile$bRhabdoviridae 2022.$h[electronic resource]
260 $c2022
520 $aThe family Rhabdoviridae comprises viruses with negative-sense (?) RNA genomes of 10?16 kb. Virions are typically enveloped with bullet-shaped or bacilliform morphology but can also be non-enveloped filaments. Rhabdoviruses infect plants or animals, including mammals, birds, reptiles, amphibians or fish, as well as arthropods, which serve as single hosts or act as biological vectors for transmission to animals or plants. Rhabdoviruses include important pathogens of humans, livestock, fish or agricultural crops. This is a summary of the International Committee on Taxonomy of Viruses (ICTV) Report on the family Rhabdoviridae, which is available. at ictv.global/report/rhabdoviridae.
650 $aTaxonomia
650 $aTaxonomia Vegetal
650 $aVírus
700 1 $aASTUA, J. de F.
700 1 $aBEJERMAN, N.
700 1 $aBLASDELL.
700 1 $aBREYTA, R.
700 1 $aFOOKS, A. R.
700 1 $aKONDO, H.
700 1 $aKURATH, G.
700 1 $aKUZMIN, I. V.
700 1 $aRAMOS-GONZÁLEZ, P. L.
700 1 $aSHI, M.
700 1 $aSTONE, D. M.
700 1 $aTESH, R. B.
700 1 $aTORDO, N.
700 1 $aVASILAKIS, N.
700 1 $aWHITFIELD, A. E.
773 $tJournal of General Virology, jun.$gv.103, n. 6, 2022.
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Registro original: |
Embrapa Mandioca e Fruticultura (CNPMF) |
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Registro Completo
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Biblioteca(s): |
Embrapa Acre; Embrapa Meio-Norte. |
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Data corrente: |
22/08/2016 |
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Data da última atualização: |
18/05/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
MAIA, M. C. C.; ARAÚJO, L. B. de; DIAS, C. T. dos S.; OLIVEIRA, L. C. de; VASCONCELOS, L. F. L.; CARVALHO JÚNIOR, J. E. V. de; SIMEÃO, M.; BASTOS, Y. G. M. |
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Afiliação: |
MARIA CLIDEANA CABRAL MAIA, CPAMN; LÚCIO BORGES DE ARAÚJO, UFUB; CARLOS TADEU DOS SANTOS DIAS, ESALQ; LUIS CLAUDIO DE OLIVEIRA, CPAF-Acre; LUCIO FLAVO LOPES VASCONCELOS, CPAMN; JOSÉ EDUARDO VASCONCELOS DE CARVALHO JÚNIOR, CPAMN; MARCELO SIMEÃO, CPAMN; YURI GAGARIN MUNIZ BASTOS, CPAMN. |
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Título: |
Selection of mango rosa genotypes in a breeding population using the multivariate-biplot method. |
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Título original: |
Seleção de genótipos em uma população de melhoramento de manga rosa usando o método multivariado biplot. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Ciência Rural, Santa Maria, v. 46, n. 10, p. 1689-1694, out. 2016. |
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ISSN: |
1678-4596 |
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Idioma: |
Inglês |
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Conteúdo: |
Mango (Mangifera indica L.) trees stand out among the main fruit trees cultivated in Brazil. The mango rosa fruit is a very popular local variety (landrace), especially because of their superior technological characteristics such as high contents of Vitamin C and soluble solids (SS), as well as attractive taste and color. The objective of this study was to select a breeding population of mango rosa (polyclonal variety; >5 individuals) that can simultaneously meet the fresh and processed fruit markets, using the multivariate method of principal components and the biplot graphic. The principal components, biplot graphic, and phenotype correlations were obtained using the R (2012) software. Pulp percentage and the pulp, skin, and seed mass variables can be indirectly selected using the smallest fruit diameter, which allowed an easier measurement. The P23R AREA3, P30R AREA3, and P32R AREA3 genotypes are selection candidates due to the presence of alleles, which are important agro-technological traits for mango breeding. This study showed that the biplot analysis is a valuable tool for decision making and visualization of interrelationships between variables and genotypes, facilitating the mango selection process. |
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Palavras-Chave: |
Análisis estadístico; Correlación genotipo-fenotipo; Fitomejoramiento; Manga rosa; Mangos; Melhoramento genético; Método multivariado biplot; Multivariate-biplot method. |
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Thesagro: |
Análise estatística; Biometria; Manga; Mangifera indica; Melhoramento genético vegetal; Método estatístico; Seleção genótipa. |
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Thesaurus NAL: |
Biometry; Genotype-phenotype correlation; Mangoes; Plant breeding; Statistical analysis. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/146613/1/Ciencia-Ruralv46n10p1689.pdf
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Marc: |
LEADER 02741naa a2200469 a 4500
001 2051434
005 2022-05-18
008 2016 bl uuuu u00u1 u #d
022 $a1678-4596
100 1 $aMAIA, M. C. C.
240 $aSeleção de genótipos em uma população de melhoramento de manga rosa usando o método multivariado biplot.
245 $aSelection of mango rosa genotypes in a breeding population using the multivariate-biplot method.$h[electronic resource]
260 $c2016
520 $aMango (Mangifera indica L.) trees stand out among the main fruit trees cultivated in Brazil. The mango rosa fruit is a very popular local variety (landrace), especially because of their superior technological characteristics such as high contents of Vitamin C and soluble solids (SS), as well as attractive taste and color. The objective of this study was to select a breeding population of mango rosa (polyclonal variety; >5 individuals) that can simultaneously meet the fresh and processed fruit markets, using the multivariate method of principal components and the biplot graphic. The principal components, biplot graphic, and phenotype correlations were obtained using the R (2012) software. Pulp percentage and the pulp, skin, and seed mass variables can be indirectly selected using the smallest fruit diameter, which allowed an easier measurement. The P23R AREA3, P30R AREA3, and P32R AREA3 genotypes are selection candidates due to the presence of alleles, which are important agro-technological traits for mango breeding. This study showed that the biplot analysis is a valuable tool for decision making and visualization of interrelationships between variables and genotypes, facilitating the mango selection process.
650 $aBiometry
650 $aGenotype-phenotype correlation
650 $aMangoes
650 $aPlant breeding
650 $aStatistical analysis
650 $aAnálise estatística
650 $aBiometria
650 $aManga
650 $aMangifera indica
650 $aMelhoramento genético vegetal
650 $aMétodo estatístico
650 $aSeleção genótipa
653 $aAnálisis estadístico
653 $aCorrelación genotipo-fenotipo
653 $aFitomejoramiento
653 $aManga rosa
653 $aMangos
653 $aMelhoramento genético
653 $aMétodo multivariado biplot
653 $aMultivariate-biplot method
700 1 $aARAÚJO, L. B. de
700 1 $aDIAS, C. T. dos S.
700 1 $aOLIVEIRA, L. C. de
700 1 $aVASCONCELOS, L. F. L.
700 1 $aCARVALHO JÚNIOR, J. E. V. de
700 1 $aSIMEÃO, M.
700 1 $aBASTOS, Y. G. M.
773 $tCiência Rural, Santa Maria$gv. 46, n. 10, p. 1689-1694, out. 2016.
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Embrapa Meio-Norte (CPAMN) |
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