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Registro Completo |
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Biblioteca(s): |
Embrapa Agrobiologia; Embrapa Amapá; Embrapa Amazônia Ocidental; Embrapa Amazônia Oriental; Embrapa Meio-Norte; Embrapa Pantanal; Embrapa Unidades Centrais. |
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Data corrente: |
09/05/2000 |
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Data da última atualização: |
10/04/2019 |
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Tipo da produção científica: |
Comunicado Técnico/Recomendações Técnicas |
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Autoria: |
NASCIMENTO FILHO, F. J. do; ATROCH, A. L.; CRAVO, M. da S.; MACEDO, J. L. V. de; GARCIA, T. B.; COSTA JÚNIOR, R. C.; RIBEIRO, J. de R. C. |
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Afiliação: |
FIRMINO JOSE DO NASCIMENTO FILHO, CPAA; ANDRE LUIZ ATROCH, CPAA; Manoel da Silva Cravo, CPAA; JEFERSON LUIS VASCONCELOS DE MACEDO, CPAA; TEREZINHA BATISTA GARCIA, CPAA; Renato Cardoso Costa Júnior, Grupo Antarctica, Fazenda Santa Helena; JOSE DE RIBAMAR CAVALCANTE RIBEIRO, CPAA. |
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Título: |
Clones de guaranazeiro para o Estado do Amazonas. |
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Ano de publicação: |
1999 |
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Fonte/Imprenta: |
Manaus: Embrapa Amazônia Ocidental, 1999. |
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Páginas: |
3 p. |
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Série: |
(Embrapa Amazônia Ocidental. Comunicado técnico, 1). |
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ISSN: |
1517-3887 |
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Idioma: |
Português |
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Conteúdo: |
O trabalho demonstra que o programa de melhoramento genético do guaranazeiro (Paullinia cupana var sorbilis), teve início em 1976, com a seleção fenótipica de matrizes superiores no Campo Experimental da Embrapa em Maues e em áreas de produtores e como resultado desses 23 anos de pesquisa, foram identificados 41 clones promissores, que estão em fase de avaliação apresentando potencial para plantio comercial, produzindo mais de 1 kg de sementes torradas po planta/ano. |
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Palavras-Chave: |
Amazon; Amazonas; Brasil; Genetic advance; Guaranazeiro; Guerana; Manaus; Melhoramento genetico; Paullinia cupana var; Selecao de clone; Selection; sorbilis. |
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Thesagro: |
Clonagem; Clone; Guaraná; Paullinia Cupana; Produtividade; Progênie; Rendimento. |
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Thesaurus Nal: |
Amazonia; clones; plant breeding; progeny. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/195693/1/Com-Tec-1.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/CPAA-2009-09/4638/1/Com_Tec_1.pdf
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Marc: |
LEADER 01735nam a2200493 a 4500
001 2108112
005 2019-04-10
008 1999 bl uuuu u0uu1 u #d
022 $a1517-3887
100 1 $aNASCIMENTO FILHO, F. J. do
245 $aClones de guaranazeiro para o Estado do Amazonas.
260 $aManaus: Embrapa Amazônia Ocidental$c1999
300 $a3 p.
490 $a(Embrapa Amazônia Ocidental. Comunicado técnico, 1).
520 $aO trabalho demonstra que o programa de melhoramento genético do guaranazeiro (Paullinia cupana var sorbilis), teve início em 1976, com a seleção fenótipica de matrizes superiores no Campo Experimental da Embrapa em Maues e em áreas de produtores e como resultado desses 23 anos de pesquisa, foram identificados 41 clones promissores, que estão em fase de avaliação apresentando potencial para plantio comercial, produzindo mais de 1 kg de sementes torradas po planta/ano.
650 $aAmazonia
650 $aclones
650 $aplant breeding
650 $aprogeny
650 $aClonagem
650 $aClone
650 $aGuaraná
650 $aPaullinia Cupana
650 $aProdutividade
650 $aProgênie
650 $aRendimento
653 $aAmazon
653 $aAmazonas
653 $aBrasil
653 $aGenetic advance
653 $aGuaranazeiro
653 $aGuerana
653 $aManaus
653 $aMelhoramento genetico
653 $aPaullinia cupana var
653 $aSelecao de clone
653 $aSelection
653 $asorbilis
700 1 $aATROCH, A. L.
700 1 $aCRAVO, M. da S.
700 1 $aMACEDO, J. L. V. de
700 1 $aGARCIA, T. B.
700 1 $aCOSTA JÚNIOR, R. C.
700 1 $aRIBEIRO, J. de R. C.
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Registro original: |
Embrapa Amazônia Ocidental (CPAA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
29/12/2019 |
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Data da última atualização: |
06/02/2024 |
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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: |
SILVA, A. A.; SILVA, F. F.; SILVA, D. A.; SILVA, H. T.; COSTA, C. N.; LOPES, P. S.; VERONEZE, R.; THOMPSON, G.; CARVALHEIRA, J. |
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Afiliação: |
ALESSANDRA ALVES SILVA; FABYANO FONSECA SILVA; DELVAN ALVES SILVA; HUGO TEIXEIRA SILVA; CLAUDIO NAPOLIS COSTA, CNPGL; PAULO SÁVIO LOPES; RENATA VERONEZE; GERTRUDE THOMPSON; JULIO CARVALHEIRA. |
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Título: |
Genotype imputation strategies for Portuguese Holstein cattle using different SNP panels. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Czech Journal of Animal Science, v. 64, n. 9, p. 377-386, 2019. |
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DOI: |
https://doi.org/10.17221/120/2019-CJAS |
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Idioma: |
Inglês |
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Conteúdo: |
Although several studies have investigated the factors affecting imputation accuracy, most of these studies involved a large number of genotyped animals. Thus, results from these studies cannot be directly applied to small populations, since the population structure affects imputation accuracy. In addition, factors affecting imputation accuracy may also be intensified in small populations. Therefore, we aimed to compare different imputation strate-gies for the Portuguese Holstein cattle population considering several commercially available single nucleotide poly-morphism (SNP) panels in a relatively small number of genotyped animals. Data from 1359 genotyped animals were used to evaluate imputation in 7 different scenarios. In the S1 to S6 scenarios, imputations were performed from LDv1, 50Kv1, 57K, 77K, HDv3 and Ax58K panels to 50Kv2 panel. In these scenarios, the bulls in 50Kv2 were divided into reference (352) and validation (101) populations based on the year of birth. In the S7 scenario, the validation population consisted of 566 cows genotyped with the Ax58K panel with theirgenotypes masked to LDv1. In general, all sample imputation accuracies were high with correlations ranging from 0.94 to 0.99 and concordance rate rang-ing from 92.59 to 98.18%. SNP-specific accuracy was consistent with that of sample imputation. S4 (40.32% of SNPs imputed) had higher accuracy than S2 and S3, both with less than 7.59% of SNPs imputed. Most probably, this was due to the high number of imputed SNPs with minor allele frequency (MAF) < 0.05 in S2 and S3 (by 18.43% and 16.06% higher than in S4, respectively). Therefore, for these two scenarios, MAF was more relevant than the panel density. These results suggest that genotype imputation using several commercially available SNP panels is feasible for the Portuguese national genomic evaluation. MenosAlthough several studies have investigated the factors affecting imputation accuracy, most of these studies involved a large number of genotyped animals. Thus, results from these studies cannot be directly applied to small populations, since the population structure affects imputation accuracy. In addition, factors affecting imputation accuracy may also be intensified in small populations. Therefore, we aimed to compare different imputation strate-gies for the Portuguese Holstein cattle population considering several commercially available single nucleotide poly-morphism (SNP) panels in a relatively small number of genotyped animals. Data from 1359 genotyped animals were used to evaluate imputation in 7 different scenarios. In the S1 to S6 scenarios, imputations were performed from LDv1, 50Kv1, 57K, 77K, HDv3 and Ax58K panels to 50Kv2 panel. In these scenarios, the bulls in 50Kv2 were divided into reference (352) and validation (101) populations based on the year of birth. In the S7 scenario, the validation population consisted of 566 cows genotyped with the Ax58K panel with theirgenotypes masked to LDv1. In general, all sample imputation accuracies were high with correlations ranging from 0.94 to 0.99 and concordance rate rang-ing from 92.59 to 98.18%. SNP-specific accuracy was consistent with that of sample imputation. S4 (40.32% of SNPs imputed) had higher accuracy than S2 and S3, both with less than 7.59% of SNPs imputed. Most probably, this was due to the high number of... Mostrar Tudo |
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Palavras-Chave: |
Genomic evaluation; Imputation accuracy. |
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Thesaurus NAL: |
Dairy cattle. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/207907/1/120-2019-CJAS.pdf
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Marc: |
LEADER 02654naa a2200265 a 4500
001 2117818
005 2024-02-06
008 2019 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.17221/120/2019-CJAS$2DOI
100 1 $aSILVA, A. A.
245 $aGenotype imputation strategies for Portuguese Holstein cattle using different SNP panels.$h[electronic resource]
260 $c2019
520 $aAlthough several studies have investigated the factors affecting imputation accuracy, most of these studies involved a large number of genotyped animals. Thus, results from these studies cannot be directly applied to small populations, since the population structure affects imputation accuracy. In addition, factors affecting imputation accuracy may also be intensified in small populations. Therefore, we aimed to compare different imputation strate-gies for the Portuguese Holstein cattle population considering several commercially available single nucleotide poly-morphism (SNP) panels in a relatively small number of genotyped animals. Data from 1359 genotyped animals were used to evaluate imputation in 7 different scenarios. In the S1 to S6 scenarios, imputations were performed from LDv1, 50Kv1, 57K, 77K, HDv3 and Ax58K panels to 50Kv2 panel. In these scenarios, the bulls in 50Kv2 were divided into reference (352) and validation (101) populations based on the year of birth. In the S7 scenario, the validation population consisted of 566 cows genotyped with the Ax58K panel with theirgenotypes masked to LDv1. In general, all sample imputation accuracies were high with correlations ranging from 0.94 to 0.99 and concordance rate rang-ing from 92.59 to 98.18%. SNP-specific accuracy was consistent with that of sample imputation. S4 (40.32% of SNPs imputed) had higher accuracy than S2 and S3, both with less than 7.59% of SNPs imputed. Most probably, this was due to the high number of imputed SNPs with minor allele frequency (MAF) < 0.05 in S2 and S3 (by 18.43% and 16.06% higher than in S4, respectively). Therefore, for these two scenarios, MAF was more relevant than the panel density. These results suggest that genotype imputation using several commercially available SNP panels is feasible for the Portuguese national genomic evaluation.
650 $aDairy cattle
653 $aGenomic evaluation
653 $aImputation accuracy
700 1 $aSILVA, F. F.
700 1 $aSILVA, D. A.
700 1 $aSILVA, H. T.
700 1 $aCOSTA, C. N.
700 1 $aLOPES, P. S.
700 1 $aVERONEZE, R.
700 1 $aTHOMPSON, G.
700 1 $aCARVALHEIRA, J.
773 $tCzech Journal of Animal Science$gv. 64, n. 9, p. 377-386, 2019.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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