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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
31/03/2021 |
Actualizado : |
31/03/2021 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
Autor : |
AGUILAR, I.; MISZTAL, I.; TSURUTA, S.; LEGARRA, A.; WANG, H. |
Afiliación : |
IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; IGNACY MISZTAL, University of Georgia, Athens, USA; SHOGO TSURUTA, University of Georgia, Athens, USA; ANDRÉS LEGARRA, INRA, France; HUIYU WANG, Genus Plc, Hendersonville, TN, USA. |
Título : |
PREGSF90 - POSTGSF90: Computational tools for the implementation of single-step genomic selection and genome-wide association with ungenotyped individuals in BLUPF90 programs. |
Complemento del título : |
Volume Methods and Tools: Statistical and genomic tools for mapping QTL and genes (Posters), 680. |
Fecha de publicación : |
2014 |
Fuente / Imprenta : |
In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.680. |
Idioma : |
Inglés |
Contenido : |
ABSTRACT.
Single step genomic methodology provides a unified framework to integrate phenotypic, pedigree and genomic information in prediction of breeding values for all individuals and in estimation of marker effects. Computational tools for the implementation of the single-step methodology are presented. Methodology, quality control of samples and different options to create genomic relationship matrices are discussed. Computing time for construction and inversion of genomic relationship matrices and large-scale genome-wide association study for heat tolerance in milk yield are presented. |
Palabras claves : |
Genome-wide association; Genomic relationship matrix; Genomic selection; SsGBLUP. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15445/1/Aguilar-et-al.-2014.-WCGALP.pdf
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Marc : |
LEADER 01390nam a2200205 a 4500 001 1061921 005 2021-03-31 008 2014 bl uuuu u01u1 u #d 100 1 $aAGUILAR, I. 245 $aPREGSF90 - POSTGSF90$bComputational tools for the implementation of single-step genomic selection and genome-wide association with ungenotyped individuals in BLUPF90 programs.$h[electronic resource] 260 $aIn: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.680.$c2014 520 $aABSTRACT. Single step genomic methodology provides a unified framework to integrate phenotypic, pedigree and genomic information in prediction of breeding values for all individuals and in estimation of marker effects. Computational tools for the implementation of the single-step methodology are presented. Methodology, quality control of samples and different options to create genomic relationship matrices are discussed. Computing time for construction and inversion of genomic relationship matrices and large-scale genome-wide association study for heat tolerance in milk yield are presented. 653 $aGenome-wide association 653 $aGenomic relationship matrix 653 $aGenomic selection 653 $aSsGBLUP 700 1 $aMISZTAL, I. 700 1 $aTSURUTA, S. 700 1 $aLEGARRA, A. 700 1 $aWANG, H.
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INIA Las Brujas (LB) |
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Registros recuperados : 54 | |
3. | | LEGARRA, A.; AGUILAR, I.; COLLEAU, J.J. Short communication: Methods to compute genomic inbreeding for ungenotyped individuals. Journal of Dairy Science, April 2020, Volume 103, Issue 4, Pages 3363-3367. Doi: https://doi.org/10.3168/jds.2019-17750 Article history: Received October 15, 2019. / Accepted December 18, 2019.
Corresponding author: A. Legarra - email: andres.legarra@inra.fr
This study was partially funded by the INRA (Paris, France) SELGEN funding metaprogram (Project...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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4. | | LEGARRA, A.; AGUILAR, I.; MISZTAL, I. Single step methods with a view towards poultry breeding. Volume Species Breeding: Poultry, 324. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.324. Acknowledgements: This work has been financed by X-Gen and GenSSeq actions from SelGen metaprogram (INRA).Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
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8. | | BERMANN, M.; MISZTAL, I.; LOURENCO, D.; AGUILAR, I.; LEGARRA, A. Definition of reliabilities for models with metafounders. [289] Part 17 - Challenges - improving genomic prediction. In: Proceedings of the World Congress on Genetics Applied to Livestock Production (WCGALP), 12., Rotterdam, the Netherlands, 3-8 July 2022. doi: https://doi.org/10.3920/978-90-8686-940-4_289 1217-1220. Article history: Published online: February 9, 2023. -- Corresponding author: A. Legarra, email: andres.legarra@inrae.fr -- Acknowledgment: This work received financing from European Unions' Horizon 2020 Research & Innovation Programme,...Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
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12. | | AGUILAR, I.; MISZTAL, I.; LEGARRA, A.; TSURUTA, S. Efficient computations of genomic relationship matrix and other matrices used in the single-step evaluation. Volume Methods and tools: Software and bioinformatics - Lecture Sessions, 0768. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 9., Leipzig, Germany, August 1-6, 2010. p. 0768. Acknowledgments: This study was partially funded by the Holstein Association USA Inc. and by AFRI grants 2009-65205-05665 and 2010-65205-20366 from the USDA NIFA Animal Genome Program. The authors thank P.M. VanRaden from Animal...Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
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15. | | BERMANN, M.; AGUILAR, I.; LOURENCO , D.; MISZTAL, I.; LEGARRA, A. Reliabilities of estimated breeding values in models with metafounders. Research article. Genetics, Selection, Evolution : GSE, 2023, volume55, issue 1, article 6. OPEN ACCESS. doi: https://doi.org/10.1186/s12711-023-00778-2 Article history: Received 29 June 2022; Accepted 04 January 2023; Published 23 January 2023. -- Corresponding author: Matias Bermann, Department of Animal and Dairy Science, University of Georgia, Athens, GA, USA, email: mbermann@uga.edu...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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16. | | AGUILAR, I.; MISZTAL, I.; TSURUTA, S.; LEGARRA, A.; WANG, H. PREGSF90 - POSTGSF90: Computational tools for the implementation of single-step genomic selection and genome-wide association with ungenotyped individuals in BLUPF90 programs. Volume Methods and Tools: Statistical and genomic tools for mapping QTL and genes (Posters), 680. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.680.Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
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17. | | ZHANG, X.; LOURENCO, D.; MISZTAL, I.; AGUILAR, I.; LEGARRA, A. Weighted single-step genomic BLUP: an iterative approach for accurate calculation of GEBV and GWAS. Volume Methods and Tools: Statistical and genomic tools for mapping QTL and genes (Posters), 681. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.681.Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
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18. | | ZHANG, X.; LOURENCO, D.; AGUILAR, I.; LEGARRA, A.; MISZTAL, I. Weighting strategies for single-step genomic BLUP: An iterative approach for accurate calculation of GEBV and GWAS. Frontiers in Genetics, 19 August 2016, Volume 7, Issue AUG, Article number 151. OPEN ACCESS Article history: Received 15 May 2016 // Accepted 04 August 2016 // Published 19 August 2016.
Specialty section:
This article was submitted to Statistical Genetics and Methodology, a section of the journal Frontiers in Genetics.Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : A - 2 |
Biblioteca(s): INIA Las Brujas. |
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20. | | GARCÍA, A.; AGUILAR, I.; LEGARRA, A.; MILLER, S.; TSURUTA, S.; MISZTAL, I.; LOURENCO, D. Accuracy of indirect predictions for large datasets based on prediction error covariance of SNP effects from single-step GBLUP. [abstract 22]. Issue Section: Animal Breeding and Genetics. Journal of Animal Science, 2020, Volume 98, Issue Supplement 4, Pages 6-7. doi: https://doi.org/10.1093/jas/skaa278.012 Article history: 30 November 2020.
ASAS Annual 2020 Meeting Abstracts.Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Las Brujas. |
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Registros recuperados : 54 | |
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