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| 25. |  | 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...| Biblioteca(s): INIA Las Brujas. |
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| 27. | | 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).| Biblioteca(s): INIA Las Brujas. |
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| 30. | | FRANCO, J.; FEED, O.; AGUILAR, I.; GIMENO, D.; NAVAJAS, E. ¿Afectamos la calidad del producto al cruzar? Calidad de la carne: pH y terneza. ln: INIA Tacuarembó. Seminario de actualización técnica, 23 de agosto, 2002. Cruzamientos en bovinos para carnes: Resultados FPTA 083. Tacuarembó, (Uruguay): INIA; Facultad de Agronomía, 2002. p. 63-67 (INIA Serie Actividades de Difusión ; 295) INIA Tacuarembó; Universidad de la República (Uruguay). Facultad de Agronomía; Universidad de la República (Uruguay). Facultad de Química; Frigorífico Tacuarembó; Universidad de la República (Uruguay). Facultad de Veterinaria; Caja...| Biblioteca(s): INIA Tacuarembó. |
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| 31. | | PRAVIA, M.I.; NAVAJAS, E.; AGUILAR, I.; RAVAGNOLO, O. Alternative models to predict residual feed intake in Hereford breed and effects on their breeding values accuracy. [48] Part 6 - Challenges - resource allocation and genetics of feed intake and efficiency. 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_48 240-243. Article history: Published online: February 9, 2023 -- Corresponding author: María Isabel Pravia, email: mpravia@inia.org.uy| Biblioteca(s): INIA Las Brujas. |
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| 32. | | 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.| Biblioteca(s): INIA Las Brujas. |
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| 36. | | FRANCO, J.; FEED, O.; GIMENO, D.; AGUILAR, I.; AVENDAÑO, S. Como cambia el rendimiento carnicero con los cruzamientos: calidad de la canal. ln: INIA Tacuarembó. Seminario de actualización técnica, 23 de agosto, 2002. Cruzamientos en bovinos para carnes: Resultados FPTA 083. Tacuarembó, (Uruguay): INIA; Facultad de Agronomía, 2002. p. 31-37 (INIA Serie Actividades de Difusión ; 295) INIA Tacuarembó; Universidad de la República (Uruguay). Facultad de Agronomía; Universidad de la República (Uruguay). Facultad de Química; Frigorífico Tacuarembó; Universidad de la República (Uruguay). Facultad de Veterinaria; Caja Notarial| Biblioteca(s): INIA Tacuarembó. |
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| 39. | | 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...| Biblioteca(s): INIA Las Brujas. |
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| 40. | | 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,...| Biblioteca(s): INIA Las Brujas. |
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| Registros recuperados : 223 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
31/03/2021 |
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Actualizado : |
31/03/2021 |
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Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
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Autor : |
MASUDA, Y.; AGUILAR, I.; TSURUTA, S.; MISZTAL, I. |
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Afiliación : |
YATUKA MASUDA, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Japan; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SHOGO TSURUTA; IGNACY MISZTAL, University of Georgia, Athens, USA. |
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Título : |
Acceleration of computations in AI REML for single-step GBLUP models. |
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Complemento del título : |
Volume Methods and Tools: Statistical methods - linear and nonlinear models (Posters), 703. |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.703. |
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Idioma : |
Inglés |
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Contenido : |
ABSTRACT.
The objective of this study was to evaluate the advantage of the YAMS package over the FSPAK package in average-information (AI) REML for single-step GBLUP models. Data sets from broiler and Holsteins were used in this study. (Co)variance components were estimated with the AIREMLF90 program which could switch YAMS and FSPAK for sparse operations. The YAMS package used the BLAS and LAPACK libraries using all the 16 cores on CPU. For a single-trait model applied to the data contained over 15,000 genotyped animals, FSPAK took over 4 hours to finish the first 5 rounds while YAMS took 20 minutes. For a 4-trait model applied to the same data set, FSPAK failed in the sparse factorization while YAMS took 5 hours to finish the first 5 rounds. The use of YAMS can dramatically increase speed and stability of AIREMLF90 for single-step GBLUP models. |
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Palabras claves : |
Single step GBLUP; Supernodal methods; Variance component estimation. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15447/1/Masuda-et-al.-2014.-WCGALP.pdf
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Marc : |
LEADER 01492nam a2200181 a 4500
001 1061923
005 2021-03-31
008 2014 bl uuuu u01u1 u #d
100 1 $aMASUDA, Y.
245 $aAcceleration of computations in AI REML for single-step GBLUP models.$h[electronic resource]
260 $aIn: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.703.$c2014
520 $aABSTRACT. The objective of this study was to evaluate the advantage of the YAMS package over the FSPAK package in average-information (AI) REML for single-step GBLUP models. Data sets from broiler and Holsteins were used in this study. (Co)variance components were estimated with the AIREMLF90 program which could switch YAMS and FSPAK for sparse operations. The YAMS package used the BLAS and LAPACK libraries using all the 16 cores on CPU. For a single-trait model applied to the data contained over 15,000 genotyped animals, FSPAK took over 4 hours to finish the first 5 rounds while YAMS took 20 minutes. For a 4-trait model applied to the same data set, FSPAK failed in the sparse factorization while YAMS took 5 hours to finish the first 5 rounds. The use of YAMS can dramatically increase speed and stability of AIREMLF90 for single-step GBLUP models.
653 $aSingle step GBLUP
653 $aSupernodal methods
653 $aVariance component estimation
700 1 $aAGUILAR, I.
700 1 $aTSURUTA, S.
700 1 $aMISZTAL, I.
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