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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.; LEGARRA, A.; TSURUTA, S. |
Afiliación : |
IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Department of Animal and Dairy Science, University of Georgia, Athens, GA, United States; IGNACY MISZTAL, Department of Animal and Dairy Science, University of Georgia, Athens, GA, United States; ANDRÉS LEGARRA, INRA, Castanet-Tolosan, France; SHOGO TSURUTA, Department of Animal and Dairy Science, University of Georgia, Athens, GA, United States. |
Título : |
Efficient computations of genomic relationship matrix and other matrices used in the single-step evaluation. |
Complemento del título : |
Volume Methods and tools: Software and bioinformatics - Lecture Sessions, 0768. |
Fecha de publicación : |
2010 |
Fuente / Imprenta : |
In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 9., Leipzig, Germany, August 1-6, 2010. p. 0768. |
Idioma : |
Inglés |
Notas : |
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 Improvement Programs Laboratory, USDA (Beltsville, MD), for providing the original software. |
Contenido : |
The objectives of this research were to present efficient computing options to create such relationships matrices based on genomic markers and pedigree information, as well as their inverses. |
Palabras claves : |
Genomic evaluations; Software; Variance components. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15463/1/Aguilar-et-al.-2010.-WCGALP.pdf
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Marc : |
LEADER 01179nam a2200193 a 4500 001 1061939 005 2021-03-31 008 2010 bl uuuu u01u1 u #d 100 1 $aAGUILAR, I. 245 $aEfficient computations of genomic relationship matrix and other matrices used in the single-step evaluation.$h[electronic resource] 260 $aIn: Proceedings of the World Congress on Genetics Applied to Livestock Production, 9., Leipzig, Germany, August 1-6, 2010. p. 0768.$c0768 500 $aAcknowledgments: 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 Improvement Programs Laboratory, USDA (Beltsville, MD), for providing the original software. 520 $aThe objectives of this research were to present efficient computing options to create such relationships matrices based on genomic markers and pedigree information, as well as their inverses. 653 $aGenomic evaluations 653 $aSoftware 653 $aVariance components 700 1 $aMISZTAL, I. 700 1 $aLEGARRA, A. 700 1 $aTSURUTA, S.
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INIA Las Brujas (LB) |
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Registros recuperados : 81 | |
14. | | 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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17. | | MASUDA, Y.; AGUILAR, I.; TSURUTA, S.; MISZTAL, I. Acceleration of computations in AI REML for single-step GBLUP models. Volume Methods and Tools: Statistical methods - linear and nonlinear models (Posters), 703. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.703.Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
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19. | | 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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Registros recuperados : 81 | |
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