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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 : |
21/02/2014 |
Actualizado : |
18/12/2018 |
Tipo de producción científica : |
Artículos Indexados |
Autor : |
MISZTAL, I.; TSURUTA, S.; AGUILAR, I.; LEGARRA, A.; LAWLOR, T. J. |
Afiliación : |
IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Approximation of genomic accuracies in single-step genomic evaluation. |
Fecha de publicación : |
2011 |
Fuente / Imprenta : |
Interbull Bulletin, 2011, v. 44, p. 103-109. |
Idioma : |
Inglés |
Contenido : |
ABSTRACT.
Reliability of predictions from single-step genomic BLUP (ssGBLUP) can be calculated by inversion, but that is not feasible for large data sets. Two proposed approximations of reliability are based on decomposition of a function of reliability into contributions from records, pedigree, and genotypes. The first approximation involves inversion of a matrix that contains inverses of the genomic relationship matrix (G) and the pedigree relationship matrix for genotyped animals (A22). The second approximation involves only the diagonal elements of those inverses. The approximations were tested with a simulated data set. The correlations between exact and approximated contributions due to genomic information were 0.92 for the first approximation and 0.56 for the second approximation; contributions were inflated 60 and 260%, respectively. The respective correlations for reliabilities were 0.98 and 0.72. After correction for inflation, those correlations increased to 0.99 and 0.89. Approximations of reliabilities of predictions by ssGBLUP are accurate and computationally feasible. A critical part of the approximations is quality control of SNP information and proper scaling of G. |
Palabras claves : |
ACCURACY; BLUP; GENOMIC PREDICTION; RELIABILITY; SINGLE-STEP EVALUATION. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12207/1/1199-2069-1-PB.pdf
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Marc : |
LEADER 01821naa a2200229 a 4500 001 1012454 005 2018-12-18 008 2011 bl uuuu u00u1 u #d 100 1 $aMISZTAL, I. 245 $aApproximation of genomic accuracies in single-step genomic evaluation.$h[electronic resource] 260 $c2011 520 $aABSTRACT. Reliability of predictions from single-step genomic BLUP (ssGBLUP) can be calculated by inversion, but that is not feasible for large data sets. Two proposed approximations of reliability are based on decomposition of a function of reliability into contributions from records, pedigree, and genotypes. The first approximation involves inversion of a matrix that contains inverses of the genomic relationship matrix (G) and the pedigree relationship matrix for genotyped animals (A22). The second approximation involves only the diagonal elements of those inverses. The approximations were tested with a simulated data set. The correlations between exact and approximated contributions due to genomic information were 0.92 for the first approximation and 0.56 for the second approximation; contributions were inflated 60 and 260%, respectively. The respective correlations for reliabilities were 0.98 and 0.72. After correction for inflation, those correlations increased to 0.99 and 0.89. Approximations of reliabilities of predictions by ssGBLUP are accurate and computationally feasible. A critical part of the approximations is quality control of SNP information and proper scaling of G. 653 $aACCURACY 653 $aBLUP 653 $aGENOMIC PREDICTION 653 $aRELIABILITY 653 $aSINGLE-STEP EVALUATION 700 1 $aTSURUTA, S. 700 1 $aAGUILAR, I. 700 1 $aLEGARRA, A. 700 1 $aLAWLOR, T. J. 773 $tInterbull Bulletin, 2011$gv. 44, p. 103-109.
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