|
|
| Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
Registro Completo |
Biblioteca(s): |
Embrapa Arroz e Feijão. |
Data corrente: |
27/02/2024 |
Data da última atualização: |
27/02/2024 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
STEMPKOWSKI, L. A.; NASCIMENTO, S. C. do; MAR, T. B.; GONÇALVES, N. P.; LAU, D.; MELLO, R. N. de; SILVA, F. N. da; ZERBINI, F. M. |
Afiliação: |
LUCAS ANTONIO STEMPKOWSKI, pós-doutorando UFV e CNPAF; SAMARA CAMPOS DO NASCIMENTO, mestranda UNIVERSIDADE DO ESTADO DE SANTA CATARINA; TALITA BERNARDON MAR, pós-doutorando CNPT; NARLA PIRES GONÇALVES, estagiária UFV; DOUGLAS LAU, CNPT; RAQUEL NEVES DE MELLO, CNPAF; FABIO NASCIMENTO DA SILVA, UNIVERSIDADE DO ESTADO DE SANTA CATARINA; F. MURILO ZERBINI, UNIVERSIDADE FEDERAL DE VIÇOSA. |
Título: |
Diversidade genética de Polymyxa graminis infectando arroz e trigo no sul do Brasil. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE FITOPATOLOGIA, 53., 2023, Brasília, DF. Anais... Brasília, DF: Sociedade Brasileira de Fitopatologia, 2023. |
Páginas: |
p. 680. |
Idioma: |
Português |
Conteúdo: |
Polymyxa graminis, a protozoan classified in the family Plasmodiophoraceae, is a widely distributed microorganism and obligate parasite that primarily infects the roots of various cereal and wild grass species. While not considered a typical plant pathogen, it serves as an efficient vector for over 14 soil-borne viruses classified in the families Benyviridae, Potyviridae and Virgaviridae. The objective of this study was to molecularly characterize P. graminis isolates associated with wheat and rice in southern Brazil. |
Palavras-Chave: |
Diversidade genética; Genetic diversity. |
Thesagro: |
Arroz; Doença de Planta; Oryza Sativa; Polymyxa Graminis; Trigo; Triticum Aestivum. |
Categoria do assunto: |
H Saúde e Patologia |
Marc: |
LEADER 01463nam a2200301 a 4500 001 2162297 005 2024-02-27 008 2023 bl uuuu u00u1 u #d 100 1 $aSTEMPKOWSKI, L. A. 245 $aDiversidade genética de Polymyxa graminis infectando arroz e trigo no sul do Brasil.$h[electronic resource] 260 $aIn: CONGRESSO BRASILEIRO DE FITOPATOLOGIA, 53., 2023, Brasília, DF. Anais... Brasília, DF: Sociedade Brasileira de Fitopatologia$c2023 300 $ap. 680. 520 $aPolymyxa graminis, a protozoan classified in the family Plasmodiophoraceae, is a widely distributed microorganism and obligate parasite that primarily infects the roots of various cereal and wild grass species. While not considered a typical plant pathogen, it serves as an efficient vector for over 14 soil-borne viruses classified in the families Benyviridae, Potyviridae and Virgaviridae. The objective of this study was to molecularly characterize P. graminis isolates associated with wheat and rice in southern Brazil. 650 $aArroz 650 $aDoença de Planta 650 $aOryza Sativa 650 $aPolymyxa Graminis 650 $aTrigo 650 $aTriticum Aestivum 653 $aDiversidade genética 653 $aGenetic diversity 700 1 $aNASCIMENTO, S. C. do 700 1 $aMAR, T. B. 700 1 $aGONÇALVES, N. P. 700 1 $aLAU, D. 700 1 $aMELLO, R. N. de 700 1 $aSILVA, F. N. da 700 1 $aZERBINI, F. M.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
Registro Completo
Biblioteca(s): |
Embrapa Café. |
Data corrente: |
28/01/2021 |
Data da última atualização: |
28/01/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
ALVES, R. S.; RESENDE, M. D. V. de; ROCHA, J. R. do A. S. de C.; PEIXOTO, M. A.; TEODORO, P. E.; SILVA, F. F. e; BHERING, L. L.; SANTOS, G. A. dos. |
Afiliação: |
RODRIGO SILVA ALVES, UFV; MARCOS DEON VILELA DE RESENDE, CNPCa; JOÃO ROMERO DO AMARAL SANTOS DE CARVALHO ROCHA, UFV; MARCO ANTÔNIO PEIXOTO, UFV; PAULO EDUARDO TEODORO, UFMS; FABYANO FONSECA E SILVA, UFV; LEONARDO LOPES BHERING, UFV; GLEISON AUGUSTO DOS SANTOS, UFV. |
Título: |
Quantifying individual variation in reaction norms using random regression models fitted through Legendre polynomials: application in eucalyptus breeding. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Bragantia, v. 79, n. 4, 2020. p. 360-376. |
DOI: |
https://doi.org/10.1590/1678-4499.20200125 |
Idioma: |
Inglês |
Conteúdo: |
An accurate, efficient and informative statistical method for analyses of genotype × environment (G × E) interactions is a key requirement for progress in any breeding program. Thus, the objective of this study was to quantify individual variation in reaction norms using random regression models fitted through Legendre polynomials in eucalyptus (Eucalyptus spp.) breeding. To this end, a data set with 215 eucalyptus clones of different species and hybrids evaluated in four environments for diameter at breast height (DBH) and Pilodyn penetration (PP) was used. Variance components were estimated by restricted maximum likelihood, and genetic values were predicted by best linear unbiased prediction. The best-fitted model for DBH and PP was indicated by the Akaike information criterion, and the significance of the genotype effects was tested using the likelihood ratio test. Genetic variability between eucalyptus clones and very high accuracies ( r^gg >=0.90 ) were detected for both traits. Reaction norms and eigenfunctions generated genetic insights into G × E interactions. This is the first study that quantified individual variation in reaction norms using random regression models fitted through Legendre polynomials in eucalyptus breeding and demonstrated the great potential of this technique. |
Thesagro: |
Eucalipto; Interação Genética; Melhoramento Genético Vegetal; Método Estatístico. |
Thesaurus NAL: |
Eucalyptus; Forest trees; Genotype-environment interaction; Plant breeding; Statistical models. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/220735/1/Quantifying-individual-variation.pdf
|
Marc: |
LEADER 02377naa a2200325 a 4500 001 2129653 005 2021-01-28 008 2020 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1590/1678-4499.20200125$2DOI 100 1 $aALVES, R. S. 245 $aQuantifying individual variation in reaction norms using random regression models fitted through Legendre polynomials$bapplication in eucalyptus breeding.$h[electronic resource] 260 $c2020 520 $aAn accurate, efficient and informative statistical method for analyses of genotype × environment (G × E) interactions is a key requirement for progress in any breeding program. Thus, the objective of this study was to quantify individual variation in reaction norms using random regression models fitted through Legendre polynomials in eucalyptus (Eucalyptus spp.) breeding. To this end, a data set with 215 eucalyptus clones of different species and hybrids evaluated in four environments for diameter at breast height (DBH) and Pilodyn penetration (PP) was used. Variance components were estimated by restricted maximum likelihood, and genetic values were predicted by best linear unbiased prediction. The best-fitted model for DBH and PP was indicated by the Akaike information criterion, and the significance of the genotype effects was tested using the likelihood ratio test. Genetic variability between eucalyptus clones and very high accuracies ( r^gg >=0.90 ) were detected for both traits. Reaction norms and eigenfunctions generated genetic insights into G × E interactions. This is the first study that quantified individual variation in reaction norms using random regression models fitted through Legendre polynomials in eucalyptus breeding and demonstrated the great potential of this technique. 650 $aEucalyptus 650 $aForest trees 650 $aGenotype-environment interaction 650 $aPlant breeding 650 $aStatistical models 650 $aEucalipto 650 $aInteração Genética 650 $aMelhoramento Genético Vegetal 650 $aMétodo Estatístico 700 1 $aRESENDE, M. D. V. de 700 1 $aROCHA, J. R. do A. S. de C. 700 1 $aPEIXOTO, M. A. 700 1 $aTEODORO, P. E. 700 1 $aSILVA, F. F. e 700 1 $aBHERING, L. L. 700 1 $aSANTOS, G. A. dos 773 $tBragantia$gv. 79, n. 4, 2020. p. 360-376.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Café (CNPCa) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
Nenhum registro encontrado para a expressão de busca informada. |
|
|