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Registro Completo |
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
05/09/2012 |
Data da última atualização: |
13/09/2012 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
MOURAO, C. S.; SILVA, D. D. da; PARRELLA, R. A. da C.; COTA, L. V.; PARRELLA, N. N. N. L. D.; SOUZA, V. F. de; BERNARDINO, K. C.; SANTOS, C. V. dos; SILVA, K. J. da; COSTA, R. K.; SCHAFFERT, R. E. |
Afiliação: |
Camila S. Mourão, Estagiária; DAGMA DIONISIA DA SILVA, CNPMS; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS; LUCIANO VIANA COTA, CNPMS; Nádia Nardelly Lacerda Durães Parrella, Epamig; Vander Felipe de Souza, Bolsista; Karine C. Bernardino, FAPED; Crislene V. dos Santos, UFSJ; Karla J. da Silva, BOLSISTA; Ráisa K. Costa, Estagiaria Embrapa Milho e Sorgo; ROBERT EUGENE SCHAFFERT, CNPMS. |
Título: |
Efeito de doenças foliares no desenvolvimento de sorgo sacarino. |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
In: CONGRESSO NACIONAL DE MILHO E SORGO, 29., 2012, Águas de Lindóia. Diversidade e inovações na era dos transgênicos: resumos expandidos. Campinas: Instituto Agronômico; Sete Lagoas: Associação Brasileira de Milho e Sorgo, 2012. |
Páginas: |
p. 749-755. |
Descrição Física: |
1 CD-ROM. |
Idioma: |
Português |
Thesagro: |
Antracnose; Doença de planta; Etanol; Ferrugem; Helmintosporiose; Sorghum Bicolor. |
Categoria do assunto: |
H Saúde e Patologia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/65760/1/Efeito-doencas.pdf
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Marc: |
LEADER 01056nam a2200301 a 4500 001 1933029 005 2012-09-13 008 2012 bl uuuu u00u1 u #d 100 1 $aMOURAO, C. S. 245 $aEfeito de doenças foliares no desenvolvimento de sorgo sacarino.$h[electronic resource] 260 $aIn: CONGRESSO NACIONAL DE MILHO E SORGO, 29., 2012, Águas de Lindóia. Diversidade e inovações na era dos transgênicos: resumos expandidos. Campinas: Instituto Agronômico; Sete Lagoas: Associação Brasileira de Milho e Sorgo$c2012 300 $ap. 749-755.$c1 CD-ROM. 650 $aAntracnose 650 $aDoença de planta 650 $aEtanol 650 $aFerrugem 650 $aHelmintosporiose 650 $aSorghum Bicolor 700 1 $aSILVA, D. D. da 700 1 $aPARRELLA, R. A. da C. 700 1 $aCOTA, L. V. 700 1 $aPARRELLA, N. N. N. L. D. 700 1 $aSOUZA, V. F. de 700 1 $aBERNARDINO, K. C. 700 1 $aSANTOS, C. V. dos 700 1 $aSILVA, K. J. da 700 1 $aCOSTA, R. K. 700 1 $aSCHAFFERT, R. E.
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Embrapa Milho e Sorgo (CNPMS) |
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Registro Completo
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
16/11/2017 |
Data da última atualização: |
09/02/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
OLIVEIRA JÚNIOR, G. A.; CHUD, T. C. S.; VENTURA, R. V.; GARRICK, D. J.; COLE, J. B.; MUNARI, D. P.; FERRAZ, J. B. S.; MULLART, E.; DeNISE, S.; SMITH, S.; SILVA, M. V. G. B. |
Afiliação: |
Gerson A. Oliveira Júnior, USP; Tatiane C. S. Chud, UNESP; Ricardo V. Ventura, University of Guelph, Guelph, Canada; Dorian J. Garrick, Iowa State University, Ames; John B. Cole, United States Department of Agriculture, Agricultural Research Service, Maryland, USA; Danísio Prado Munari, UNESP Jaboticabal; José B. S. Ferraz, USP; Erik Mullart, CRV Holding B. V., Arnhem, 454, the Netherlands; SUE DeNISE, Zoetis, Kalamazoo, MI; SHANNON SMITH, Zoetis, Kalamazoo, MI; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL. |
Título: |
Genotype imputation in a tropical crossbred dairy cattle population. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
Journal of Dairy Science, v. 100, n. 12, p. 9623-9634, 2017. |
DOI: |
https://doi.org/10.3168/jds.2017-12732 |
Idioma: |
Inglês |
Conteúdo: |
The objective of this study was to investigate different strategies for genotype imputation in a population of crossbred Girolando (Gyr × Holstein) dairy cattle. The data set consisted of 478 Girolando, 583 Gyr, and 1,198 Holstein sires genotyped at high density with the Illumina BovineHD (Illumina, San Diego, CA) panel, which includes ∼777K markers. The accuracy of imputation from low (20K) and medium densities (50K and 70K) to the HD panel density and from low to 50K density were investigated. Seven scenarios using different reference populations (RPop) considering Girolando, Gyr, and Holstein breeds separately or combinations of animals of these breeds were tested for imputing genotypes of 166 randomly chosen Girolando animals. The population genotype imputation were performed using FImpute. Imputation accuracy was measured as the correlation between observed and imputed genotypes (CORR) and also as the proportion of genotypes that were imputed correctly (CR). This is the first paper on imputation accuracy in a Girolando population. The sample-specific imputation accuracies ranged from 0.38 to 0.97 (CORR) and from 0.49 to 0.96 (CR) imputing from low and medium densities to HD, and 0.41 to 0.95 (CORR) and from 0.50 to 0.94 (CR) for imputation from 20K to 50K. The CORRanim exceeded 0.96 (for 50K and 70K panels) when only Girolando animals were included in RPop (S1). We found smaller CORRanim when Gyr (S2) was used instead of Holstein (S3) as RPop. The same behavior was observed between S4 (Gyr + Girolando) and S5 (Holstein + Girolando) because the target animals were more related to the Holstein population than to the Gyr population. The highest imputation accuracies were observed for scenarios including Girolando animals in the reference population, whereas using only Gyr animals resulted in low imputation accuracies, suggesting that the haplotypes segregating in the Girolando population had a greater effect on accuracy than the purebred haplotypes. All chromosomes had similar imputation accuracies (CORRsnp) within each scenario. Crossbred animals (Girolando) must be included in the reference population to provide the best imputation accuracies. MenosThe objective of this study was to investigate different strategies for genotype imputation in a population of crossbred Girolando (Gyr × Holstein) dairy cattle. The data set consisted of 478 Girolando, 583 Gyr, and 1,198 Holstein sires genotyped at high density with the Illumina BovineHD (Illumina, San Diego, CA) panel, which includes ∼777K markers. The accuracy of imputation from low (20K) and medium densities (50K and 70K) to the HD panel density and from low to 50K density were investigated. Seven scenarios using different reference populations (RPop) considering Girolando, Gyr, and Holstein breeds separately or combinations of animals of these breeds were tested for imputing genotypes of 166 randomly chosen Girolando animals. The population genotype imputation were performed using FImpute. Imputation accuracy was measured as the correlation between observed and imputed genotypes (CORR) and also as the proportion of genotypes that were imputed correctly (CR). This is the first paper on imputation accuracy in a Girolando population. The sample-specific imputation accuracies ranged from 0.38 to 0.97 (CORR) and from 0.49 to 0.96 (CR) imputing from low and medium densities to HD, and 0.41 to 0.95 (CORR) and from 0.50 to 0.94 (CR) for imputation from 20K to 50K. The CORRanim exceeded 0.96 (for 50K and 70K panels) when only Girolando animals were included in RPop (S1). We found smaller CORRanim when Gyr (S2) was used instead of Holstein (S3) as RPop. The same behavior was obse... Mostrar Tudo |
Palavras-Chave: |
Impute. |
Thesaurus NAL: |
genotype; single nucleotide polymorphism. |
Categoria do assunto: |
G Melhoramento Genético |
Marc: |
LEADER 03028naa a2200289 a 4500 001 2079937 005 2024-02-09 008 2017 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.3168/jds.2017-12732$2DOI 100 1 $aOLIVEIRA JÚNIOR, G. A. 245 $aGenotype imputation in a tropical crossbred dairy cattle population.$h[electronic resource] 260 $c2017 520 $aThe objective of this study was to investigate different strategies for genotype imputation in a population of crossbred Girolando (Gyr × Holstein) dairy cattle. The data set consisted of 478 Girolando, 583 Gyr, and 1,198 Holstein sires genotyped at high density with the Illumina BovineHD (Illumina, San Diego, CA) panel, which includes ∼777K markers. The accuracy of imputation from low (20K) and medium densities (50K and 70K) to the HD panel density and from low to 50K density were investigated. Seven scenarios using different reference populations (RPop) considering Girolando, Gyr, and Holstein breeds separately or combinations of animals of these breeds were tested for imputing genotypes of 166 randomly chosen Girolando animals. The population genotype imputation were performed using FImpute. Imputation accuracy was measured as the correlation between observed and imputed genotypes (CORR) and also as the proportion of genotypes that were imputed correctly (CR). This is the first paper on imputation accuracy in a Girolando population. The sample-specific imputation accuracies ranged from 0.38 to 0.97 (CORR) and from 0.49 to 0.96 (CR) imputing from low and medium densities to HD, and 0.41 to 0.95 (CORR) and from 0.50 to 0.94 (CR) for imputation from 20K to 50K. The CORRanim exceeded 0.96 (for 50K and 70K panels) when only Girolando animals were included in RPop (S1). We found smaller CORRanim when Gyr (S2) was used instead of Holstein (S3) as RPop. The same behavior was observed between S4 (Gyr + Girolando) and S5 (Holstein + Girolando) because the target animals were more related to the Holstein population than to the Gyr population. The highest imputation accuracies were observed for scenarios including Girolando animals in the reference population, whereas using only Gyr animals resulted in low imputation accuracies, suggesting that the haplotypes segregating in the Girolando population had a greater effect on accuracy than the purebred haplotypes. All chromosomes had similar imputation accuracies (CORRsnp) within each scenario. Crossbred animals (Girolando) must be included in the reference population to provide the best imputation accuracies. 650 $agenotype 650 $asingle nucleotide polymorphism 653 $aImpute 700 1 $aCHUD, T. C. S. 700 1 $aVENTURA, R. V. 700 1 $aGARRICK, D. J. 700 1 $aCOLE, J. B. 700 1 $aMUNARI, D. P. 700 1 $aFERRAZ, J. B. S. 700 1 $aMULLART, E. 700 1 $aDeNISE, S. 700 1 $aSMITH, S. 700 1 $aSILVA, M. V. G. B. 773 $tJournal of Dairy Science$gv. 100, n. 12, p. 9623-9634, 2017.
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