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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
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 : |
AGUILAR, I.; MISZTAL, I.; LEGARRA, A.; TSURUTA, S. |
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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. |
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Título : |
Efficient computations of genomic relationship matrix and other matrices used in the single-step evaluation. |
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Complemento del título : |
Volume Methods and tools: Software and bioinformatics - Lecture Sessions, 0768. |
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Fecha de publicación : |
2010 |
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Fuente / Imprenta : |
In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 9., Leipzig, Germany, August 1-6, 2010. p. 0768. |
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Idioma : |
Inglés |
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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. |
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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. |
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Palabras claves : |
Genomic evaluations; Software; Variance components. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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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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