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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
02/10/2003 |
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Data da última atualização: |
14/09/2006 |
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Autoria: |
OLIVEIRA, P. J. de; COSTA, R. F. da; COSTA, A. C. L. da; COSTA, J. M. N. da; MALHI, Y.; MEIR, P.; SILVA, R. B. C.; ANDRADE, V. M. S.; SILVA JÚNIOR, J. A.; BRAGA, A.; GONÇALVES, P. H. L. |
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Afiliação: |
UFPA, Belém, PA. |
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Título: |
Fechamento do balanço de energia em um ecossistema de manguezal paraense. |
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Ano de publicação: |
2003 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 13., 2003, Santa Maria. Situação atual e perspectivas da agrometeorologia: anais... Santa Maria: UNIFRA: SBA: UFSM, 2003. |
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Páginas: |
p. 141-142. |
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Idioma: |
Português |
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Conteúdo: |
Estudar os fluxos turbulentos em áreas de mangue, utilizando a técnica de eddy correlation, e verificar seu fechamento. |
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Palavras-Chave: |
Fluxos turbulentos; Manguezal. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01001naa a2200277 a 4500
001 1008495
005 2006-09-14
008 2003 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA, P. J. de
245 $aFechamento do balanço de energia em um ecossistema de manguezal paraense.
260 $c2003
300 $ap. 141-142.
520 $aEstudar os fluxos turbulentos em áreas de mangue, utilizando a técnica de eddy correlation, e verificar seu fechamento.
653 $aFluxos turbulentos
653 $aManguezal
700 1 $aCOSTA, R. F. da
700 1 $aCOSTA, A. C. L. da
700 1 $aCOSTA, J. M. N. da
700 1 $aMALHI, Y.
700 1 $aMEIR, P.
700 1 $aSILVA, R. B. C.
700 1 $aANDRADE, V. M. S.
700 1 $aSILVA JÚNIOR, J. A.
700 1 $aBRAGA, A.
700 1 $aGONÇALVES, P. H. L.
773 $tIn: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 13., 2003, Santa Maria. Situação atual e perspectivas da agrometeorologia: anais... Santa Maria: UNIFRA: SBA: UFSM, 2003.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
25/09/2020 |
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Data da última atualização: |
25/09/2020 |
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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: |
ALKIMIM, E. R.; CAIXETA, E. T.; SOUSA, T. V.; SILVA, F. L. da; SAKYAMA, N. S.; ZAMBOLIM, L. |
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Afiliação: |
EMILLY RUAS ALKIMIM, UNIVERSIDADE FEDERAL DE VIÇOSA; EVELINE TEIXEIRA CAIXETA MOURA, CNPCa; TIAGO VIEIRA SOUSA, UNIVERSIDADE FEDERAL DE VIÇOSA; FELIPE LOPES DA SILVA, UNIVERSIDADE FEDERAL DE VIÇOSA; NEY SUSSUMU SAKIYAMA, UNIVERSIDADE FEDERAL DE VIÇOSA; LAÉRCIO ZAMBOLIM, UNIVERSIDADE FEDERAL DE VIÇOSA. |
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Título: |
High-throughput targeted genotyping using next-generation sequencing applied in Coffea canephora breeding. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Euphytica, v. 214, p. 50, 2018. |
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DOI: |
https://doi.org/10.1007/s10681-018-2126-2 |
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Idioma: |
Inglês |
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Conteúdo: |
The use of molecular markers to detect polymorphism at DNA level is one of the most significant developments in molecular biology techniques. With the development of new next-generation sequencing technologies, the discovery of SNP became easier and faster, and the costs of data point were reduced. The development and use of SNP markers for coffee have provided new perspectives for the evaluation of genetic diversity and population structure via different statistical approaches. In this study, 72 Coffea canephora genotypes were analyzed to identify the SNP markers and apply them to genetic studies and selection of parents/hybrids in genetic breeding. As many as 117,450 SNP were identified using the RAPiD Genomics platform. After quality analyses, 33,485 SNP were validated for analyses of genetic diversity and population structure. Genotypes were separated based on their varietal groups, and Hybrids were differentiated using the clustering and Bayesian approach. Coffee accessions mistakenly identified in the germplasm and breeding program were detected. The Conilon varietal group presented the lowest genetic dissimilarity values, suggesting the introduction of new accessions in the germplasm bank. The highest genetic distances values were observed among genotypes of the heterotic groups (Conilon and Robusta). The markers were efficient in evaluating the genetic diversity and population structure of C. canephora. Promising crosses were selected within and between the varietal groups. Hybrids with greater genetic distances were selected, which were important for C. canephora breeding programs. MenosThe use of molecular markers to detect polymorphism at DNA level is one of the most significant developments in molecular biology techniques. With the development of new next-generation sequencing technologies, the discovery of SNP became easier and faster, and the costs of data point were reduced. The development and use of SNP markers for coffee have provided new perspectives for the evaluation of genetic diversity and population structure via different statistical approaches. In this study, 72 Coffea canephora genotypes were analyzed to identify the SNP markers and apply them to genetic studies and selection of parents/hybrids in genetic breeding. As many as 117,450 SNP were identified using the RAPiD Genomics platform. After quality analyses, 33,485 SNP were validated for analyses of genetic diversity and population structure. Genotypes were separated based on their varietal groups, and Hybrids were differentiated using the clustering and Bayesian approach. Coffee accessions mistakenly identified in the germplasm and breeding program were detected. The Conilon varietal group presented the lowest genetic dissimilarity values, suggesting the introduction of new accessions in the germplasm bank. The highest genetic distances values were observed among genotypes of the heterotic groups (Conilon and Robusta). The markers were efficient in evaluating the genetic diversity and population structure of C. canephora. Promising crosses were selected within and between the varietal ... Mostrar Tudo |
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Thesaurus NAL: |
Hybrids; Polymorphism; Population structure. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/216202/1/Alkimim-et-al-2018-1.pdf
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Marc: |
LEADER 02307naa a2200229 a 4500
001 2125108
005 2020-09-25
008 2018 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s10681-018-2126-2$2DOI
100 1 $aALKIMIM, E. R.
245 $aHigh-throughput targeted genotyping using next-generation sequencing applied in Coffea canephora breeding.$h[electronic resource]
260 $c2018
520 $aThe use of molecular markers to detect polymorphism at DNA level is one of the most significant developments in molecular biology techniques. With the development of new next-generation sequencing technologies, the discovery of SNP became easier and faster, and the costs of data point were reduced. The development and use of SNP markers for coffee have provided new perspectives for the evaluation of genetic diversity and population structure via different statistical approaches. In this study, 72 Coffea canephora genotypes were analyzed to identify the SNP markers and apply them to genetic studies and selection of parents/hybrids in genetic breeding. As many as 117,450 SNP were identified using the RAPiD Genomics platform. After quality analyses, 33,485 SNP were validated for analyses of genetic diversity and population structure. Genotypes were separated based on their varietal groups, and Hybrids were differentiated using the clustering and Bayesian approach. Coffee accessions mistakenly identified in the germplasm and breeding program were detected. The Conilon varietal group presented the lowest genetic dissimilarity values, suggesting the introduction of new accessions in the germplasm bank. The highest genetic distances values were observed among genotypes of the heterotic groups (Conilon and Robusta). The markers were efficient in evaluating the genetic diversity and population structure of C. canephora. Promising crosses were selected within and between the varietal groups. Hybrids with greater genetic distances were selected, which were important for C. canephora breeding programs.
650 $aHybrids
650 $aPolymorphism
650 $aPopulation structure
700 1 $aCAIXETA, E. T.
700 1 $aSOUSA, T. V.
700 1 $aSILVA, F. L. da
700 1 $aSAKYAMA, N. S.
700 1 $aZAMBOLIM, L.
773 $tEuphytica$gv. 214, p. 50, 2018.
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