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Registro Completo |
Biblioteca(s): |
Embrapa Cerrados. |
Data corrente: |
17/03/1999 |
Data da última atualização: |
17/03/1999 |
Autoria: |
MOREIRA, C. T.; SOUZA, P. I. M.; FARIAS NETO, A. L.; TEIXEIRA, R. N.; SPEHAR, C. R. |
Título: |
Producao de semente genetica de linhagens promissoras e cultivares lancadas pela Embrapa Cerrados. |
Ano de publicação: |
1998 |
Fonte/Imprenta: |
In: REUNIAO DE PESQUISA DE SOJA DA REGIAO CENTRAL DO BRASIL, 20., 1998, Londrina, PR. Ata e resumos. Londrina: EMBRAPA-CNPSo, 1998. |
Páginas: |
p.406-407. |
Idioma: |
Português |
Palavras-Chave: |
Cultivar; Seed. |
Thesagro: |
Cerrado; Glycine Max; Linhagem; Semente; Soja. |
Thesaurus Nal: |
progeny; soybeans; varieties. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00836naa a2200289 a 4500 001 1554642 005 1999-03-17 008 1998 bl uuuu u00u1 u #d 100 1 $aMOREIRA, C. T. 245 $aProducao de semente genetica de linhagens promissoras e cultivares lancadas pela Embrapa Cerrados. 260 $c1998 300 $ap.406-407. 650 $aprogeny 650 $asoybeans 650 $avarieties 650 $aCerrado 650 $aGlycine Max 650 $aLinhagem 650 $aSemente 650 $aSoja 653 $aCultivar 653 $aSeed 700 1 $aSOUZA, P. I. M. 700 1 $aFARIAS NETO, A. L. 700 1 $aTEIXEIRA, R. N. 700 1 $aSPEHAR, C. R. 773 $tIn: REUNIAO DE PESQUISA DE SOJA DA REGIAO CENTRAL DO BRASIL, 20., 1998, Londrina, PR. Ata e resumos. Londrina: EMBRAPA-CNPSo, 1998.
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Embrapa Cerrados (CPAC) |
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Registro Completo
Biblioteca(s): |
Embrapa Pecuária Sudeste. |
Data corrente: |
26/11/2015 |
Data da última atualização: |
15/03/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
CHUD, T. C. S.; VENTURA, R. V.; SCHENKEL, F. S.; CARVALHEIRO, R.; BUZANSKAS, M. E.; ROSA, J. O.; MUDADU, M. de A.; SILVA, M. V. G. B.; MOKRY, F. B.; MARCONDES, C. R.; REGITANO, L. C. de A.; MUNARI, D. P. |
Afiliação: |
TATIANE C. S. CHUD, UNESP; RICARDO V. VENTURA, UNESP; FLAVIO S. SCHENKEL, University of Guelph; ROBERTO CARVALHEIRO, UNESP; MARCOS E. BUZANSKAS, UNESP; JAQUELINE O. ROSA, UNESP; MAURICIO DE ALVARENGA MUDADU, CPPSE; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; FABIANA B. MOKRY, Federal University of São Carlos; CINTIA RIGHETTI MARCONDES, CPPSE; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; DANÍSIO P. MUNARI, UNESP. |
Título: |
Strategies for genotype imputation in composite beef cattle. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
BMC Genomics, v. 16, n. 99, 2015. |
Páginas: |
10 p. |
DOI: |
10.1186/s12863-015-0251-7 |
Idioma: |
Inglês |
Conteúdo: |
Genotype imputation has been used to increase genomic information, allow more animals in genome-wide analyses, and reduce genotyping costs. In Brazilian beef cattle production, many animals are resulting from crossbreeding and such an event may alter linkage disequilibrium patterns. Thus, the challenge is to obtain accurately imputed genotypes in crossbred animals. The objective of this study was to evaluate the best fitting and most accurate imputation strategy on the MA genetic group (the progeny of a Charolais sire mated with crossbred Canchim X Zebu cows) and Canchim cattle. The data set contained 400 animals (born between 1999 and 2005) genotyped with the Illumina BovineHD panel. Imputation accuracy of genotypes from the Illumina-Bovine3K (3K), Illumina-BovineLD (6K), GeneSeek-Genomic-Profiler (GGP) BeefLD (GGP9K), GGP-IndicusLD (GGP20Ki), Illumina-BovineSNP50 (50K), GGP-IndicusHD (GGP75Ki), and GGP-BeefHD (GGP80K) to Illumina-BovineHD (HD) SNP panels were investigated. Seven scenarios for reference and target populations were tested; the animals were grouped according with birth year (S1), genetic groups (S2 and S3), genetic groups and birth year (S4 and S5), gender (S6), and gender and birth year (S7). Analyses were performed using FImpute and BEAGLE software and computation run-time was recorded. Genotype imputation accuracy was measured by concordance rate (CR) and allelic R square (R2). |
Palavras-Chave: |
Canchim breed; Crossbred cattle; Genomic data; Low density panel. |
Thesaurus NAL: |
single nucleotide polymorphism. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/134135/1/regitano4.pdf
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Marc: |
LEADER 02356naa a2200337 a 4500 001 2029694 005 2023-03-15 008 2015 bl uuuu u00u1 u #d 024 7 $a10.1186/s12863-015-0251-7$2DOI 100 1 $aCHUD, T. C. S. 245 $aStrategies for genotype imputation in composite beef cattle.$h[electronic resource] 260 $c2015 300 $a10 p. 520 $aGenotype imputation has been used to increase genomic information, allow more animals in genome-wide analyses, and reduce genotyping costs. In Brazilian beef cattle production, many animals are resulting from crossbreeding and such an event may alter linkage disequilibrium patterns. Thus, the challenge is to obtain accurately imputed genotypes in crossbred animals. The objective of this study was to evaluate the best fitting and most accurate imputation strategy on the MA genetic group (the progeny of a Charolais sire mated with crossbred Canchim X Zebu cows) and Canchim cattle. The data set contained 400 animals (born between 1999 and 2005) genotyped with the Illumina BovineHD panel. Imputation accuracy of genotypes from the Illumina-Bovine3K (3K), Illumina-BovineLD (6K), GeneSeek-Genomic-Profiler (GGP) BeefLD (GGP9K), GGP-IndicusLD (GGP20Ki), Illumina-BovineSNP50 (50K), GGP-IndicusHD (GGP75Ki), and GGP-BeefHD (GGP80K) to Illumina-BovineHD (HD) SNP panels were investigated. Seven scenarios for reference and target populations were tested; the animals were grouped according with birth year (S1), genetic groups (S2 and S3), genetic groups and birth year (S4 and S5), gender (S6), and gender and birth year (S7). Analyses were performed using FImpute and BEAGLE software and computation run-time was recorded. Genotype imputation accuracy was measured by concordance rate (CR) and allelic R square (R2). 650 $asingle nucleotide polymorphism 653 $aCanchim breed 653 $aCrossbred cattle 653 $aGenomic data 653 $aLow density panel 700 1 $aVENTURA, R. V. 700 1 $aSCHENKEL, F. S. 700 1 $aCARVALHEIRO, R. 700 1 $aBUZANSKAS, M. E. 700 1 $aROSA, J. O. 700 1 $aMUDADU, M. de A. 700 1 $aSILVA, M. V. G. B. 700 1 $aMOKRY, F. B. 700 1 $aMARCONDES, C. R. 700 1 $aREGITANO, L. C. de A. 700 1 $aMUNARI, D. P. 773 $tBMC Genomics$gv. 16, n. 99, 2015.
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Embrapa Pecuária Sudeste (CPPSE) |
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