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| Registros recuperados : 16 | |
| 1. |  | 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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| 2. | | 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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| 3. | | SOUTO, E.P.F.; PESSOA, C.R.M.; PESSOA, A.F.A.; TROST, M.E.; KOMMERS, G.D.; RIET-CORREA, F.; DANTAS, A.F.M Esophageal pythiosis in an ostrich (Struthio camelus). (Communication). [Ptiose Esofágica em avestrus (Struthio camelus). [Comunicação]. Arquivo Brasileiro de Medicina Veterinaria e Zootecnia, 1 May 2019, Volume 71, Issue 3, Pages 1081-1084. OPEN ACCESS. Article history:Recebido em 13 de março de 2018/Aceito em 9 de novembro de 2018.| Biblioteca(s): INIA La Estanzuela. |
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| 4. | | 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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| 5. | | 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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| 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. | | 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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| 8. | | 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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| 9. | | 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 ACCESS| Biblioteca(s): INIA La Estanzuela. |
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| 10. | | 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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| 11. | | 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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| 12. | | 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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| 13. | | 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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| 14. | | 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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| 15. | | 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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| 16. | | 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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| Registros recuperados : 16 | |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
21/02/2014 |
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Actualizado : |
05/12/2018 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 1 |
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Autor : |
BRANDARIZ , S.; GONZÁLEZ RAYMÚNDEZ, A.; LADO, B.; MALOSETTI, M.; FRANCO GARCIA, A.; QUINCKE, M.; VON ZITZEWITZ, J.; CASTRO, M.; MATUS,I.; DEL POZO, A.; CASTRO, A.J.; GUTIÉRREZ, L. |
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Afiliación : |
SOFÍA P. BRANDARIZ, Universidad de la República (UdelaR); Facultad de Agronomía, Uruguay.; AGUSTÍN GONZÁLEZ REYMÚNDEZ; BETTINA LADO; MARCOS MALOSETTI; ANTONIO AUGUSTO FRANCO GARCIA; MARTIN CONRADO QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JARISLAV RAMON VON ZITZEWITZ VON SALVIATI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARINA CASTRO DERENYI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; IVÁN MATUS; ALEJANDRO DEL POZO; ARIEL J. CASTRO; LUCÍA GUTIÉRREZ. |
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Título : |
Ascertainment bias from imputation methods evaluation in wheat. |
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Fecha de publicación : |
2016 |
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Fuente / Imprenta : |
BMC Genomics, 2016, v. 17, p.773. |
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DOI : |
10.1186/s12864-016-3120-5 |
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Idioma : |
Inglés |
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Notas : |
OPEN ACCESS. Article history: Received 2016 Feb 24 // Accepted 2016 Sep 23. |
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Contenido : |
Abstract
BACKGROUND:
Whole-genome genotyping techniques like Genotyping-by-sequencing (GBS) are being used for genetic studies such as Genome-Wide Association (GWAS) and Genomewide Selection (GS), where different strategies for imputation have been developed. Nevertheless, imputation error may lead to poor performance (i.e. smaller power or higher false positive rate) when complete data is not required as it is for GWAS, and each marker is taken at a time. The aim of this study was to compare the performance of GWAS analysis for Quantitative Trait Loci (QTL) of major and minor effect using different imputation methods when no reference panel is available in a wheat GBS panel.
RESULTS:
In this study, we compared the power and false positive rate of dissecting quantitative traits for imputed and not-imputed marker score matrices in: (1) a complete molecular marker barley panel array, and (2) a GBS wheat panel with missing data. We found that there is an ascertainment bias in imputation method comparisons. Simulating over a complete matrix and creating missing data at random proved that imputation methods have a poorer performance. Furthermore, we found that when QTL were simulated with imputed data, the imputation methods performed better than the not-imputed ones. On the other hand, when QTL were simulated with not-imputed data, the not-imputed method and one of the imputation methods performed better for dissecting quantitative traits. Moreover, larger differences between imputation methods were detected for QTL of major effect than QTL of minor effect. We also compared the different marker score matrices for GWAS analysis in a real wheat phenotype dataset, and we found minimal differences indicating that imputation did not improve the GWAS performance when a reference panel was not available.
CONCLUSIONS:
Poorer performance was found in GWAS analysis when an imputed marker score matrix was used, no reference panel is available, in a wheat GBS panel. MenosAbstract
BACKGROUND:
Whole-genome genotyping techniques like Genotyping-by-sequencing (GBS) are being used for genetic studies such as Genome-Wide Association (GWAS) and Genomewide Selection (GS), where different strategies for imputation have been developed. Nevertheless, imputation error may lead to poor performance (i.e. smaller power or higher false positive rate) when complete data is not required as it is for GWAS, and each marker is taken at a time. The aim of this study was to compare the performance of GWAS analysis for Quantitative Trait Loci (QTL) of major and minor effect using different imputation methods when no reference panel is available in a wheat GBS panel.
RESULTS:
In this study, we compared the power and false positive rate of dissecting quantitative traits for imputed and not-imputed marker score matrices in: (1) a complete molecular marker barley panel array, and (2) a GBS wheat panel with missing data. We found that there is an ascertainment bias in imputation method comparisons. Simulating over a complete matrix and creating missing data at random proved that imputation methods have a poorer performance. Furthermore, we found that when QTL were simulated with imputed data, the imputation methods performed better than the not-imputed ones. On the other hand, when QTL were simulated with not-imputed data, the not-imputed method and one of the imputation methods performed better for dissecting quantitative traits. Moreover, larger differences between ... Presentar Todo |
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Palabras claves : |
FALSE POSITIVE; FALSO POSITIVO; GBS; GWAS; POWER; QTLs. |
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Thesagro : |
MEJORAMIENTO DE TRIGO. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12122/1/s12864-016-3120-5.pdf
https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-016-3120-5
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Marc : |
LEADER 02972nam a2200349 a 4500
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024 7 $a10.1186/s12864-016-3120-5$2DOI
100 1 $aBRANDARIZ , S.
245 $aAscertainment bias from imputation methods evaluation in wheat.$h[electronic resource]
260 $aBMC Genomics, 2016, v. 17, p.773.$c2016
500 $aOPEN ACCESS. Article history: Received 2016 Feb 24 // Accepted 2016 Sep 23.
520 $aAbstract BACKGROUND: Whole-genome genotyping techniques like Genotyping-by-sequencing (GBS) are being used for genetic studies such as Genome-Wide Association (GWAS) and Genomewide Selection (GS), where different strategies for imputation have been developed. Nevertheless, imputation error may lead to poor performance (i.e. smaller power or higher false positive rate) when complete data is not required as it is for GWAS, and each marker is taken at a time. The aim of this study was to compare the performance of GWAS analysis for Quantitative Trait Loci (QTL) of major and minor effect using different imputation methods when no reference panel is available in a wheat GBS panel. RESULTS: In this study, we compared the power and false positive rate of dissecting quantitative traits for imputed and not-imputed marker score matrices in: (1) a complete molecular marker barley panel array, and (2) a GBS wheat panel with missing data. We found that there is an ascertainment bias in imputation method comparisons. Simulating over a complete matrix and creating missing data at random proved that imputation methods have a poorer performance. Furthermore, we found that when QTL were simulated with imputed data, the imputation methods performed better than the not-imputed ones. On the other hand, when QTL were simulated with not-imputed data, the not-imputed method and one of the imputation methods performed better for dissecting quantitative traits. Moreover, larger differences between imputation methods were detected for QTL of major effect than QTL of minor effect. We also compared the different marker score matrices for GWAS analysis in a real wheat phenotype dataset, and we found minimal differences indicating that imputation did not improve the GWAS performance when a reference panel was not available. CONCLUSIONS: Poorer performance was found in GWAS analysis when an imputed marker score matrix was used, no reference panel is available, in a wheat GBS panel.
650 $aMEJORAMIENTO DE TRIGO
653 $aFALSE POSITIVE
653 $aFALSO POSITIVO
653 $aGBS
653 $aGWAS
653 $aPOWER
653 $aQTLs
700 1 $aGONZÁLEZ RAYMÚNDEZ, A.
700 1 $aLADO, B.
700 1 $aMALOSETTI, M.
700 1 $aFRANCO GARCIA, A.
700 1 $aQUINCKE, M.
700 1 $aVON ZITZEWITZ, J.
700 1 $aCASTRO, M.
700 1 $aMATUS,I.
700 1 $aDEL POZO, A.
700 1 $aCASTRO, A.J.
700 1 $aGUTIÉRREZ, L.
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