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Registros recuperados : 21 | |
1. | | CAMPOS, E.M.; MAIA, L.A.; OLINDA, R.G.; NASCIMENTO, E.M.; MELO, D.B.; DANTAS, A.F.M.; RIET-CORREA, F. Poisoning by Senna obtusifolia in sheep. Pesquisa Veterinaria Brasileira 38(8):1471-1474, agosto 2018. Article History: Received on July 11, 2017.//Accepted for publication on July 26, 2017.Biblioteca(s): INIA La Estanzuela. |
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2. | | DE SOUTO, E.P.F.; MAIA, L.Â.; ASSIS, D.M.; DE MIRANDA NETO, E.G.; KOMMERS, G.D.; DE GALIZA, G.J.N.; RIET-CORREA, F.; DANTAS, A.F.M. Mastite por Pythium insidiosum em éguas. [Mastitis by Pythium insidiosum in Mares.] Acta Scientiae Veterinariae, 2019, Volume 47 (Suppl.1), Article number 387. Doi: 10.22456/1679-9216.91877 Article history: Received: 22 January 2019 / Accepted: 27 April 2019 / Published: 19 May 2019.Biblioteca(s): INIA Las Brujas. |
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3. | | MACHADO, M.; DE MACÊDO PESSOA, C.R.; PESSOA, A. F. A.; SOUZA MENDES, R. DE; MEDEIROS, R. M. T. DE; DANTAS, A. F. M.; CASTRO, M. B. DE; RIET-CORREA, F. South American rattlesnake (Crotalus durissus spp.) envenomation in dogs in the semiarid region of Brazil. Acta Scientiae Veterinariae, 2020, Volume 48, Article number 521. DOI: https://doi.org/10.22456/1679-9216.104578 Article history: Received: 29 March 2020 Accepted: 17 June 2020 Published: 19 July 2020. Acknowledgments: Thanks are due to Dr. José María Gutiérrez (University of Costa Rica) for the critical reading of the manuscript and suggestions.Biblioteca(s): INIA Tacuarembó. |
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4. | | MAIA, L.A.; OLINDA, R.G.; ARAÚJO, T.F.; FIRMINO, P.R.; NAKAZATO, L.; MIRANDA NETO, E.G.; RIET-CORREA, F.; DANTAS, A.F.M. Cutaneous pythiosis in a donkey (Equus asinus) in Brazil. (Brief Communication) Journal of Veterinary Diagnostic Investigation, 2016, v. 28, no. 4, p. 436?439. Article history: Article first published online: June 6, 2016 / Issue published: July 1, 2016.Biblioteca(s): INIA Las Brujas. |
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5. | | OLINDA, R. G.; MAIA, L. A.; CARGNELUTTI, J. F.; GOIS, R. C. S.; BATISTA, J. S.; DANTAS, A. F. M.; FLORES, E. F.; RIET-CORREA, F. Swinepox dermatitis in backyard pigs in Northeastern Brazil. Pesquisa Veterinária Brasileira, Brasília, DF v. 36, n. 6, p. 468-472, 2016. Article History:Received on June 11, 2015.//Accepted for publication on March 23, 2016. OPEN ACCESSBiblioteca(s): INIA La Estanzuela. |
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6. | | OLINDA, R. G.; MAIA, L. A.; FRADE, M. T. S.; SOARES, M. P.; BARROS, S. S.; DRIEMEIER, D.; RIET-CORREA, F.; DANTAS, A. F. M. Degenerative axonopathy associated with copper deficiency in pigs. (Axonopatia degenerativa associada com deficiência de cobre em suínos). Pesquisa Veterinária Brasileira, Rio de Janeiro v. 37, n. 9, p. 911-915, setembro. 2017. Article history: 1 Received on May 29, 2016 // Accepted for publication on November 11, 2016.Biblioteca(s): INIA La Estanzuela. |
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7. | | OLINDA, R. G.; MEDEIROS, R. M. T.; DANTAS, A. F. M.; LEMOS, R. A. A. DE; RIET-CORREA, F. Intoxicação por Enterolobium contortisdiliquum em bovinos na região Nordeste do Brasil. Pesquisa Veterinária Brasileira, Brasília, DF v. 35, n.1, p. 44-48, jan. 2015. Article history: Recebido em 6 de janeiro de 2015.//Aceito para publicação em 21 de janeiro de 2015.Biblioteca(s): INIA La Estanzuela. |
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8. | | OLINDA, R,G,; LIMA, J.M.; LUCENA, R.B. DE; VALE, A.M. DO; BATISTA, J.S.; BARROS, C.S.L.DE; RIET-CORREA, F.; DANTAS, A.F.M. Acute aflatoxicosis in swines in Northeastern Brazil .( Aflatoxicose aguda em suínos no Nordeste do Brasil). Acta Scientiae Veterinariae, v. 44(Suppl 1), p. 124-,2016. OPEN ACCESS. History article. Received: 15 October 2015 //Accepted: 17 May 2016// Published: 30 June 2016.Biblioteca(s): INIA La Estanzuela. |
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9. | | OLINDA, R.G..; PENA, H.F.J.; FRADE, M.T.S.; FERREIRA, J.S.; MAIA, L.Â.; GENNARI, S.M.; OLIVEIRA, S.; DANTAS, A.F.M.; RIET-CORREA, F. Acute toxoplasmosis in pigs in Brazil caused by Toxoplasma gondii genotype Chinese 1. Parasitology Research, v. 115,n.7, p. 2561-2566. 2016. Article history: Received: 10 February 2016 /Accepted: 9 March 2016.Biblioteca(s): INIA La Estanzuela. |
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12. | | SCHILD, C.; CAFFARENA, D.; RABAZA, A.; BANCHERO, G.; GIANNITTI, F.; DANTAS, A.F.; MAIA, L.A.; RIET-CORREA, F. Conidiobolomicosis nasal en una oveja (Ovis aries) en Uruguay. (Nasal conidiobolomycosis in a sheep (Ovis aries) in Uruguay). Veterinaria (Montevideo), 2016, v. 52 n. 203. p.25-30.Biblioteca(s): INIA La Estanzuela. |
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13. | | SCHILD, C.; CAFFARENA, D.; RABAZA, A.; BANCHERO, G.; MAIA, L.A.; DANTAS, A.F.; GIANNITTI, F.; RIET-CORREA, F. Conidiobolomicosis en una oveja (Ovis aries) en el Uruguay. In: SEMINARIO DE LA FUNDACIÓN "CHARLES LUIS DAVIS" EN ARGENTINA ,9ª., 2015. REUNIÓN DEL FORO PERMANENTE DE EDUCACIÓN DE LA PATOLOGÍA VETERINARIA, 7ª., 2015. Salta, AR: Facultad de Ciencias Agrarias y Veterinarias; Universidad Católica de Salta.Biblioteca(s): INIA La Estanzuela. |
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14. | | SCHILD, C.; CAFFARENA, D.; RABAZA, A.; BANCHERO, G.; MAIA, L.A.; DANTAS, A.F.; GIANNITTI, F.; RIET-CORREA, F. Conidiobolomicosis nasal en una oveja (Ovis aries) en Uruguay. In: Seminario de la Fundación "Charles Louis Davis" en Argentina, 9. Facultad de Ciencias agrarias y Veterinarias ;Universidad Católica de Salta. Campus Castañares. 2015. Salta, Argentina. Autor en correspondencia: cschild@inia.org.uyBiblioteca(s): INIA La Estanzuela. |
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15. | | SILVA, T.R.; SOARES, P.C.; DANTAS, A.F.M.; MARQUES, A.V.S.; FILHO, E.F.O.; AGUIAR, G.M.N.; MARQUES, A.L.A.; RIET-CORREA, F. Concentrações sérica e hepática de cobre, ferro, molibdênio e zinco em ovinos e caprinos no estado da Paraíba. [Serum and liver copper, iron, molybdenum and zinc concentration in goats and sheep in the state of Paraíba, Brazil.] Pesquisa Veterinária Brasileira v.38 ,n.7. p. 1313-1316, July 2018. OPEN ACCESS. Article history: Received on July 21, 2017. // Accepted for publication on August 13, 2017.Biblioteca(s): INIA La Estanzuela. |
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16. | | SILVEIRA, A. M.; MOREIRA, E. C.; VAZ, F.; LORENZO, C. DE; DRIEMEIER, D.; FURLAN, F.; DANTAS, A. F. M.; RIET-CORREA, F. Encefalopatia hepática secundária à intoxicação por Tephrosia cinerea em ovinos.(Hepatic encephalopathy secondary to poisoning by Tephrosia cinerea in sheep). Pesquisa Veterinária Brasileira, Rio de Janeiro v. 38, n. 4, p. 635-641, 2018. Article History: Recebido em 28 de abril de 2017.//Aceito para publicação em 17 de maio de 2017.Biblioteca(s): INIA La Estanzuela. |
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17. | | SIMÕES, J.G.; MEDEIROS, R.M.T.; MEDEIROS, M.A.; OLINDA, R.G.; DANTAS, A.F.M.; RIET-CORREA, F. Nitrate and nitrite poisoning in sheep and goats caused by ingestion of Portulaca oleracea. [Intoxicação por nitratos e nitritos em ovinos e caprinos causada pela ingestão de Portulaca oleracea]. Pesquisa Veterinaria Brasileira, 1 August 2018, Volume 38, Issue 8, Pages 1549-1553. OPEN ACCESS Article history: 1 Received on July 27, 2017./Accepted for publication on August 13, 2017.Biblioteca(s): INIA La Estanzuela. |
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18. | | SLVEIRA, A. M.; NASCIMENTO, E. M.; KONRADT, G.; NETO, E. G. M.; DRIEMEIER, D.; GALIZA, J. N. G.; DANTAS, A. F. M.; RIET-CORREA, F. Tuberculosis of the central nervous system in cattle in Paraíba, Brazil. [Tuberculose no sistema nervoso central de bovinos na Paraíba.] Pesquisa Veterinaria Brasileira 38(11):2099-2108, 1 November 2018. OPEN ACCESS Article history: Received on June 26, 2018. // Accepted for publication on July 12, 2018.Biblioteca(s): INIA La Estanzuela. |
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19. | | SOUTO, E.P. F.; OLINDA, R.G.; ALMEIDA, D.B.B.; ROLIM, V.M.; DRIEMEIER, D,; NOBRE, V.M.T.; RIET-CORREA, F.; ANTÔNIO F. M. DANTAS, A.F.M. Surto de parvovirose cardíaca em filhotes de cães no Brasil. (Outbreak of parvoviral myocarditis in puppies in Brazil). Pesquisa Veterinária Brasileira, Rio de Janeiro, v. 38, n. 1, p. 94-98, janeiro 2018. Recebido: 30 de Maio de 2016; Aceito: 09 de Dezembro de 2016. Título em inglês: Histopathological and immunohistochemical study of the polyserositis in buffalo (Bubalus bubalis).Biblioteca(s): INIA La Estanzuela. |
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20. | | SOUTO, E.P.F.; LEITE, A.V.L.; NOBRE, V.M.T.; MIRANDA NETO, E.G.; RIET-CORREA, F.; DANTAS, A.F.M. Morte súbita causada por ruptura de aneurisma em aorta em ruminantes. (Sudden death caused by aortic aneurysm rupture in ruminants). Arquivo brasileiro de medicina veterinária e zootecnia, v.69, n.2, p.398-404, 2017. Article history: Recebido em 10 de setembro de 2016.// Aceito em 30 de setembro de 2016.Biblioteca(s): INIA La Estanzuela. |
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Registros recuperados : 21 | |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha actual : |
29/09/2014 |
Actualizado : |
25/10/2017 |
Tipo de producción científica : |
Poster |
Autor : |
BRANDARIZ, S.P.; GONZÁELZ-REYMÚNDEZ, A.; LADO, B.; QUINCKE, M.; VON ZITZEWITZ, J.; CASTRO, M.; MATUS, I.; DEL POZO, A.; GUTIÉRREZ, L. |
Afiliación : |
BETTINA LADO LINDNER, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay; MARTIN CONRADO QUINCKE WALDEN, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay; JARISLAV RAMON VON ZITZEWITZ VON SALVIATI, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay; MARINA CASTRO DERENYI, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
Título : |
Effect of using imputed missing data on QTL detection on a wheat GWAS panel. |
Fecha de publicación : |
2014 |
Fuente / Imprenta : |
In: SEMINARIO INTERNACIONAL DE TRIGO, 2014, La Estanzuela, Colonia, UY. GERMÁN, S., et al. (Org.). 1914-2014, un siglo de mejoramiento de trigo en La Estanzuela: un valioso legado para el futuro: posters; resúmenes. La Estanzuela, Colonia, UY: INIA, 2014. |
Páginas : |
p. 86. |
Idioma : |
Inglés |
Contenido : |
Molecular markers are an essential component of plant and animal breeding programs. One inexpensive way of obtaining molecular markers is through Next-Generation Sequencing (NGS). Genotyping-by-sequencing (GBS) is one of the NGS techniques which have been successfully used for complex genomes like wheat. A particularity of GBS is that it generates a lot of missing information which is generally imputed. Imputation is required for Genomic Prediction studies and several studies demonstrate its value. However, the effectiveness of missing data imputation for Genome-wide association (GWAS) studies has not been demonstrated. Data imputation for GWAS where one marker at a time is being studied could potentially create biased estimates. The aim of this study was to compare the effects of using either missing or imputed data for Quantitative Trait Loci (QTL) detection in a wheat GWAS pannel. A set of 384 advanced lines of wheat was included in this study consisting of 186 genotypes from INIA (Instituto Nacional de Investigación Agropecuaria) in Uruguay, 55 genotypes from INIA in Chile and 143 genotypes from CIMMYT (Centro Internacional de Mejoramiento de Maíz y Trigo). SNPs were obtained using the Tassel-GBS Pipeline. We excluded SNPs with more than 50 % missing data and SNPs with a minor allele frequency (MAF) more extreme than 10%. Sequence database available from the SyntheticxOpata map (synop) was used to construct the maps, obtaining a final data set with more than 18K SNPs. Missing data was handled in three different ways to create the SNP datasets used for QTL detection: 1) data not-imputed, 2) data imputed by the realized relationship matrix method multivariate normal expectation maximization (MVN-EM), and 3) data imputed by the mean. A number of QTL (either 25 or 50) with different heritability (0.2 and 0.7) were simulated on top of each dataset. The following mixed model was used to recover QTL: , where : phenotypic vector, : SNPs matrix, : unknown vector of allele effects to be estimated, : matrix that relates each measurement to population origin, : populations vector, : kinship matrix, : vector of random background polygenic effects, and : residual error. We used a liberal 0.01 significance level. The power to detect QTL was estimated for each dataset and differences among medians of QTL detection power among imputed datasets were studied using the Friedman test and non-parametric contrasts. For this purpose, methods of imputations were defined as treatments and simulation scenarios as blocks. The QTL detection power with the MVN-EM matrix was lower than with the mean imputed matrix or the no imputed matrix. No differences in QTL detection power were found between the mean imputed matrix or the no imputed matrix. Based on our results, imputing does not seem to improve QTL detection power. MenosMolecular markers are an essential component of plant and animal breeding programs. One inexpensive way of obtaining molecular markers is through Next-Generation Sequencing (NGS). Genotyping-by-sequencing (GBS) is one of the NGS techniques which have been successfully used for complex genomes like wheat. A particularity of GBS is that it generates a lot of missing information which is generally imputed. Imputation is required for Genomic Prediction studies and several studies demonstrate its value. However, the effectiveness of missing data imputation for Genome-wide association (GWAS) studies has not been demonstrated. Data imputation for GWAS where one marker at a time is being studied could potentially create biased estimates. The aim of this study was to compare the effects of using either missing or imputed data for Quantitative Trait Loci (QTL) detection in a wheat GWAS pannel. A set of 384 advanced lines of wheat was included in this study consisting of 186 genotypes from INIA (Instituto Nacional de Investigación Agropecuaria) in Uruguay, 55 genotypes from INIA in Chile and 143 genotypes from CIMMYT (Centro Internacional de Mejoramiento de Maíz y Trigo). SNPs were obtained using the Tassel-GBS Pipeline. We excluded SNPs with more than 50 % missing data and SNPs with a minor allele frequency (MAF) more extreme than 10%. Sequence database available from the SyntheticxOpata map (synop) was used to construct the maps, obtaining a final data set with more than 18K SNPs. Mi... Presentar Todo |
Palabras claves : |
GBS; GENOMIC PREDICTION; GENOMIC WIDE ASSOCIATION; GENOTYPING BY SEQUENCING; GWAS; MARCADORES MOLECULARES; MULTIVARIATE NORMAL EXPECTATION MAXIMIZATION; MVN-EM; NEXT GENERATION SEQUENCING; NGS; QTL; QUANTITATIVE TRAIT LOCI DETECTION; SINGLE NUCLEOTIDE POLYMORPHISMS; SNPs; TRITICUM. |
Thesagro : |
DETECCIÓN DE QTLS; MARCADORES MOLECULARES; TRIGO. |
Asunto categoría : |
-- |
Marc : |
LEADER 04260nam a2200433 a 4500 001 1050639 005 2017-10-25 008 2014 bl uuuu u00u1 u #d 100 1 $aBRANDARIZ, S.P. 245 $aEffect of using imputed missing data on QTL detection on a wheat GWAS panel. 260 $aIn: SEMINARIO INTERNACIONAL DE TRIGO, 2014, La Estanzuela, Colonia, UY. GERMÁN, S., et al. (Org.). 1914-2014, un siglo de mejoramiento de trigo en La Estanzuela: un valioso legado para el futuro: posters; resúmenes. La Estanzuela, Colonia, UY: INIA$c2014 300 $ap. 86. 520 $aMolecular markers are an essential component of plant and animal breeding programs. One inexpensive way of obtaining molecular markers is through Next-Generation Sequencing (NGS). Genotyping-by-sequencing (GBS) is one of the NGS techniques which have been successfully used for complex genomes like wheat. A particularity of GBS is that it generates a lot of missing information which is generally imputed. Imputation is required for Genomic Prediction studies and several studies demonstrate its value. However, the effectiveness of missing data imputation for Genome-wide association (GWAS) studies has not been demonstrated. Data imputation for GWAS where one marker at a time is being studied could potentially create biased estimates. The aim of this study was to compare the effects of using either missing or imputed data for Quantitative Trait Loci (QTL) detection in a wheat GWAS pannel. A set of 384 advanced lines of wheat was included in this study consisting of 186 genotypes from INIA (Instituto Nacional de Investigación Agropecuaria) in Uruguay, 55 genotypes from INIA in Chile and 143 genotypes from CIMMYT (Centro Internacional de Mejoramiento de Maíz y Trigo). SNPs were obtained using the Tassel-GBS Pipeline. We excluded SNPs with more than 50 % missing data and SNPs with a minor allele frequency (MAF) more extreme than 10%. Sequence database available from the SyntheticxOpata map (synop) was used to construct the maps, obtaining a final data set with more than 18K SNPs. Missing data was handled in three different ways to create the SNP datasets used for QTL detection: 1) data not-imputed, 2) data imputed by the realized relationship matrix method multivariate normal expectation maximization (MVN-EM), and 3) data imputed by the mean. A number of QTL (either 25 or 50) with different heritability (0.2 and 0.7) were simulated on top of each dataset. The following mixed model was used to recover QTL: , where : phenotypic vector, : SNPs matrix, : unknown vector of allele effects to be estimated, : matrix that relates each measurement to population origin, : populations vector, : kinship matrix, : vector of random background polygenic effects, and : residual error. We used a liberal 0.01 significance level. The power to detect QTL was estimated for each dataset and differences among medians of QTL detection power among imputed datasets were studied using the Friedman test and non-parametric contrasts. For this purpose, methods of imputations were defined as treatments and simulation scenarios as blocks. The QTL detection power with the MVN-EM matrix was lower than with the mean imputed matrix or the no imputed matrix. No differences in QTL detection power were found between the mean imputed matrix or the no imputed matrix. Based on our results, imputing does not seem to improve QTL detection power. 650 $aDETECCIÓN DE QTLS 650 $aMARCADORES MOLECULARES 650 $aTRIGO 653 $aGBS 653 $aGENOMIC PREDICTION 653 $aGENOMIC WIDE ASSOCIATION 653 $aGENOTYPING BY SEQUENCING 653 $aGWAS 653 $aMARCADORES MOLECULARES 653 $aMULTIVARIATE NORMAL EXPECTATION MAXIMIZATION 653 $aMVN-EM 653 $aNEXT GENERATION SEQUENCING 653 $aNGS 653 $aQTL 653 $aQUANTITATIVE TRAIT LOCI DETECTION 653 $aSINGLE NUCLEOTIDE POLYMORPHISMS 653 $aSNPs 653 $aTRITICUM 700 1 $aGONZÁELZ-REYMÚNDEZ, A. 700 1 $aLADO, B. 700 1 $aQUINCKE, M. 700 1 $aVON ZITZEWITZ, J. 700 1 $aCASTRO, M. 700 1 $aMATUS, I. 700 1 $aDEL POZO, A. 700 1 $aGUTIÉRREZ, L.
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