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Registros recuperados : 81 | |
15. | | 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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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.Biblioteca(s): INIA Las Brujas. |
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20. | | 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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Registros recuperados : 81 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
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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