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101. | | VERDIN FILHO, A. C.; VOLPI, P. S.; MAURI, A. L.; FERRÃO, M. A. G.; FONSECA, A. F. A. da.; FERRÃO, R. G.; ANDRADE, S.; COMÉRIO, M.; KAULZ, M.; NUNES, W. Emprego de diferentes populações de hastes como condicionantes da produtividade do cafeeiro arábica. In: CONGRESSO BRASILEIRO DE PESQUISAS CAFEEIRAS, 41., 2015, Poços de Caldas. Com mais tecnologia, mas café se aprecia: trabalhos apresentados. Poços de Caldas: Fundação Procafé, 2015Biblioteca(s): Biblioteca Rui Tendinha. |
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103. | | LIMA, I. de M.; VENTURA, J. A.; COSTA, H.; VOLPI, P. S.; FERRÃO, M. A. G.; VERDIN FILHO, A. C.; FERRÃO, R. G.; FONSECA, A. F. A. da.; COMÉRIO, M. 'ES8161 GOYTACÁ' : porta-enxerto clonal de café conilon resistente a nematoide-das-galhas. Vitória, ES : Incaper, 2022. (Incaper, Documentos, 293). Folder.Biblioteca(s): Biblioteca Rui Tendinha. |
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105. | | OLIVEIRA, C. M. de.; RODRIGUES, W. N.; FERRÃO, M. A. G.; FERRÃO, R. G.; FONSECA, A. F. A. da.; TOMAZ, M. A. Evolução da ferrugem do cafeeiro em clones de café conilon do Sul do Estado do Espírito Santo. In: CONGRESSO BRASILEIRO DE PESQUISAS CAFEEIRAS, 36., 2010, Guarapari. Trabalhos apresentados... Brasília, DF: MAPA/PROCAFÉ: Embrapa Café; Lavras: UFLA; Uberaba: UNIUBE; Varginha: Fundação Procafé; Vitória: INCAPER, p. 287-288, 2010.Biblioteca(s): Biblioteca Rui Tendinha. |
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111. | | SILVA, D. G.; ZAMBOLIM, L.; SAKIYAMA, N. S.; PEREIRA, A. A.; VALE, F. X. R. do; FONSECA, A. F. A. da.; VALE, F. X. R. do Identificação de raças fisiológicas de Hemileia vstatrix Berk. & Br. no Estado do EspÃrito Santo, Brasil. IN: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 1., 2000, Poços de Caldas. Resumos Expandidos. BrasÃlia, DF: Embrapa Café/MINASPLAN, 2000 p. 187-191Biblioteca(s): Biblioteca Rui Tendinha. |
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112. | | POSSE, S. C. P.; RODRIGUES, W. N.; COMÉRIO, M.; VOLPI, P. S.; VERDIN FILHO, A. C.; POSSE, R. P.; OLIVEIRA, V. de S.; DOUSSEAU, S. Impact of dring methods over the germinative potenial of Conilon coffee of late maturation. Coffee Science, Lavras, v. 14, n. 4, p. 484 - 492, oct./dec. 2019.Biblioteca(s): Biblioteca Rui Tendinha. |
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120. | | RAIMUNDO, E. G.; MILHEIROS, I. S.; SILVA, J. A. da; CONCEIÇÃO, A. O. da; SILVA, F. G. da; ESPOSTI, M. D.; GUARÇONI M., A. Influencia de fontes minerais de K na produtividade e na granulometria dos graos do cafe conilon. In: ENCONTRO LATINO AMERICANO DE INICIACAO CIENTIFICA, 26.; ENCONTRO LATINO AMERICANO DE POS GRADUACAO, 22., 2023, Sao Jose dos Campos, SP. Ciencias basicas e o desenvolvimento sustentavel: a interface dos saberes para a sociedade . Sao Jose dos Campos: UNIVAP, 2022.Biblioteca(s): Biblioteca Rui Tendinha. |
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Registros recuperados : 225 | |
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Registro Completo |
Biblioteca(s): |
Biblioteca Rui Tendinha. |
Data corrente: |
08/08/2019 |
Data da última atualização: |
08/08/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
FERRÃO, L. F. V.; CAIXETA, E. T.; CRUZ, C. D.; SOUZA, F. de F.; FERRÃO, M. A. G.; ZAMBOLIM, Z.; SAKIYAMA, N. S. |
Afiliação: |
Luís Felipe V. Ferrão, UFV; Eveline T. Caixeta, Embrapa Cafe; Cosme D. Cruz, UFV; Flávio F. de Souza, Embrapa Rondônia; Maria Amélia Gava Ferrão, Incaper/Embrapa Café; Laércio Zambolim, UFV; Ney S. Sakiyama, UFV. |
Título: |
The effects of encoding data in diversity studies and the applicability of the weighting index approach for data analysis from different molecular markers. |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
Plant Systematics and Evolution, New York v. 300, p.1649-1661, feb. 2014. |
DOI: |
10.1007/s00606-014-09903 |
Idioma: |
Português |
Conteúdo: |
The use of molecular markers to study genetic diversity represents a breakthrough in this area, because of the increase in polymorphism levels and phenotypic neutrality. Codominant markers, such as microsatellites (SSR), are sensitive enough to distinguish the heterozygotes in genetic studies. Despite this advantage, there are some studies that ignore this feature and work with encoded data because of the simplicity of the evaluation, existence of polyploids and need for the combined analysis of different types of molecular markers. Thus, our study aims to investigate the consequences of these encodings on simulated and real data. In addition, we suggest an alternative analysis for genetic evaluations using different molecular markers. For the simulated data, we proposed the following two scenarios: the first uses SNP markers, and the second SSR markers. For real data, we used the SSR genotyping data from Coffea canephora accessions maintained in the Embrapa Germplasm Collection. The genetic diversity was studied using cluster analysis, the dissimilarity index, and the Bayesian approach implemented in the STRUCTURE software. For the simulated data, we observed a loss of genetic information to the encoded data in both scenarios. The same result was observed in the coffee studies. This loss of information was discussed in the context of a plantbreeding program, and the consequences were weighted to germplasm evaluations and the selection of parents for hybridization. In the studies that involved different types of markers, an alternative to the combined analysis is discussed, where the informativeness, coverage and quality of markers are weighted in the genetic diversity studies. MenosThe use of molecular markers to study genetic diversity represents a breakthrough in this area, because of the increase in polymorphism levels and phenotypic neutrality. Codominant markers, such as microsatellites (SSR), are sensitive enough to distinguish the heterozygotes in genetic studies. Despite this advantage, there are some studies that ignore this feature and work with encoded data because of the simplicity of the evaluation, existence of polyploids and need for the combined analysis of different types of molecular markers. Thus, our study aims to investigate the consequences of these encodings on simulated and real data. In addition, we suggest an alternative analysis for genetic evaluations using different molecular markers. For the simulated data, we proposed the following two scenarios: the first uses SNP markers, and the second SSR markers. For real data, we used the SSR genotyping data from Coffea canephora accessions maintained in the Embrapa Germplasm Collection. The genetic diversity was studied using cluster analysis, the dissimilarity index, and the Bayesian approach implemented in the STRUCTURE software. For the simulated data, we observed a loss of genetic information to the encoded data in both scenarios. The same result was observed in the coffee studies. This loss of information was discussed in the context of a plantbreeding program, and the consequences were weighted to germplasm evaluations and the selection of parents for hybridization. In the st... Mostrar Tudo |
Palavras-Chave: |
Café canéfora; Café conilon; Codominant markers; Coffee; Diversidade genética; Dominant markers Germplasm; Marcadores dominantes; SSR STRUCTURE. |
Thesagro: |
Café; Coffea Canephora; Marcador molecular. |
Categoria do assunto: |
-- |
URL: |
https://biblioteca.incaper.es.gov.br/digital/bitstream/123456789/3664/1/the-effects-enconding-ferrao.pdf
|
Marc: |
LEADER 02777naa a2200337 a 4500 001 1021517 005 2019-08-08 008 2014 bl uuuu u00u1 u #d 024 7 $a10.1007/s00606-014-09903$2DOI 100 1 $aFERRÃO, L. F. V. 245 $aThe effects of encoding data in diversity studies and the applicability of the weighting index approach for data analysis from different molecular markers.$h[electronic resource] 260 $c2014 520 $aThe use of molecular markers to study genetic diversity represents a breakthrough in this area, because of the increase in polymorphism levels and phenotypic neutrality. Codominant markers, such as microsatellites (SSR), are sensitive enough to distinguish the heterozygotes in genetic studies. Despite this advantage, there are some studies that ignore this feature and work with encoded data because of the simplicity of the evaluation, existence of polyploids and need for the combined analysis of different types of molecular markers. Thus, our study aims to investigate the consequences of these encodings on simulated and real data. In addition, we suggest an alternative analysis for genetic evaluations using different molecular markers. For the simulated data, we proposed the following two scenarios: the first uses SNP markers, and the second SSR markers. For real data, we used the SSR genotyping data from Coffea canephora accessions maintained in the Embrapa Germplasm Collection. The genetic diversity was studied using cluster analysis, the dissimilarity index, and the Bayesian approach implemented in the STRUCTURE software. For the simulated data, we observed a loss of genetic information to the encoded data in both scenarios. The same result was observed in the coffee studies. This loss of information was discussed in the context of a plantbreeding program, and the consequences were weighted to germplasm evaluations and the selection of parents for hybridization. In the studies that involved different types of markers, an alternative to the combined analysis is discussed, where the informativeness, coverage and quality of markers are weighted in the genetic diversity studies. 650 $aCafé 650 $aCoffea Canephora 650 $aMarcador molecular 653 $aCafé canéfora 653 $aCafé conilon 653 $aCodominant markers 653 $aCoffee 653 $aDiversidade genética 653 $aDominant markers Germplasm 653 $aMarcadores dominantes 653 $aSSR STRUCTURE 700 1 $aCAIXETA, E. T. 700 1 $aCRUZ, C. D. 700 1 $aSOUZA, F. de F. 700 1 $aFERRÃO, M. A. G. 700 1 $aZAMBOLIM, Z. 700 1 $aSAKIYAMA, N. S. 773 $tPlant Systematics and Evolution, New York$gv. 300, p.1649-1661, feb. 2014.
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