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Registros recuperados : 224 | |
47. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | PRAVIA, M.I.; NAVAJAS, E.; AGUILAR, I.; RAVAGNOLO, O. Evaluation of feed efficiency traits in different Hereford populations and their effect on variance component estimation. Animal Production Science, 2022, Volume 62, Issue 17, pages 1652-1660. doi: https://doi.org/10.1071/AN21420 Article history: Submitted 24 August 2021; Accepted 10 June 2022; Published online 1 August 2022. -- Handling Editor: Sue Hatcher. --
Corresponding author: Pravia, M.I.; Instituto Nacional de Investigación Agropecuaria (INIA), Estación...Biblioteca(s): INIA Las Brujas. |
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49. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | WILLIAMS, J.L.; AGUILAR, I.; REKAYA, R.; BERTRAND, J.K. Estimation of breed and heterosis effects for growth and carcass traits in cattle using published crossbreeding studies. Journal of Animal Science, 2010, v.88, no.2, p.460-466. Article history: Received November 7, 2008. / Accepted October 2, 2009.Biblioteca(s): INIA Las Brujas. |
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53. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | SIGDEL, A.; AGUILAR, I.; ABDOLLAHI-ARPANAHI, R.; PEÑAGARICANO, F. Genetic analysis of heat tolerance for production and health traits in US Holstein cows. Volume Biology & Species - Bovine (dairy) 1, 916. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 11., Aotea Centre Auckland, New Zealand: WCGALP, ICAR, 11-16 feb 2018. 6 p.Biblioteca(s): INIA Las Brujas. |
| ![Ver detalles del registro](/consulta/web/img/visualizar.png) ![Acceso al objeto digital](/consulta/web/img/pdf.png) ![Imprime registro en el formato completo](/consulta/web/img/print.png) |
57. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | RAVAGNOLO, O.; AGUILAR, I.; LEMA, O.M.; GOLDBERG, V. Genetic parameters for cow weight in pasture fed Hereford cattle. Volume Species Breeding: Beef cattle (Posters), ,760. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.760.Biblioteca(s): INIA Las Brujas. |
| ![Ver detalles del registro](/consulta/web/img/visualizar.png) ![Acceso al objeto digital](/consulta/web/img/pdf.png) ![Imprime registro en el formato completo](/consulta/web/img/print.png) |
59. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | FRIONI, N.; URIOSTE, J.I.; AGUILAR, I.; ROVERE, G. Genetic parameters of days open, milk, fat and protein yield of uruguayan Holstein on pasture systems. GMA 8 - COMUNICACIONES LIBRES - GMA. GENÉTICA Y MEJORAMIENTO ANIMAL In: JOURNAL OF BASIC & APPLIED GENETICS, 2016, Vol.27, Iss. 1 (Supp.). XVI LATIN AMERICAN CONGRESS OF GENETICS, IV CONGRESS OF THE URUGUAYAN SOCIETY OF GENETICS, XLIX ANNUAL MEETING OF THE GENETICS SOCIETY OF CHILE, XLV ARGENTINE CONGRESS OF GENETICS, 9-12 October 2016. PROCEEDINGS. Montevideo (Uruguay): SAG, 2016. p. 190Biblioteca(s): INIA Las Brujas. |
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60. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | TSURUTA, S.; MISZTAL, I.; AGUILAR, I.; LAWLOR, T. J. Genome wide association study on cow mortality in three US regions. Volume Species Breeding: Dairy cattle (Posters), 805. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.805.Biblioteca(s): INIA Las Brujas. |
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Registros recuperados : 224 | |
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![](/consulta/web/img/deny.png) | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
|
Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
04/10/2014 |
Actualizado : |
10/02/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
A - 2 |
Autor : |
AGUILAR, I.; MISZTAL, I.; LEGARRA, A.; TSURUTA, S. |
Afiliación : |
IGNACIO AGUILAR GARCIA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
Título : |
Efficient computation of the genomic relationship matrix and other matrices used in single-step evaluation. |
Fecha de publicación : |
2011 |
Fuente / Imprenta : |
Journal of Animal Breeding and Genetics, 2011, v.128, no.6, p.422-428. |
ISSN : |
0931-2668 |
DOI : |
10.1111/j.1439-0388.2010.00912.x |
Idioma : |
Inglés |
Contenido : |
ABSTRACT.
Genomic evaluations can be calculated using a unified procedure that combines phenotypic, pedigree and genomic information. Implementation of such a procedure requires the inverse of the relationship matrix based on pedigree and genomic relationships. The objective of this study was to investigate efficient computing options to create relationship matrices based on genomic markers and pedigree information as well as their inverses. SNP maker information was simulated for a panel of 40K SNPs, with the number of genotyped animals up to 30000. Matrix multiplication in the computation of the genomic relationship was by a simple 'do' loop, by two optimized versions of the loop, and by a specific matrix multiplication subroutine. Inversion was by a generalized inverse algorithm and by a LAPACK subroutine. With the most efficient choices and parallel processing, creation of matrices for 30000 animals would take a few hours. Matrices required to implement a unified approach can be computed efficiently. Optimizations can be either by modifications of existing code or by the use of efficient automatic optimizations provided by open source or third-party libraries.
© 2011 Blackwell Verlag GmbH. |
Thesagro : |
MEJORAMIENTO GENÉTICO ANIMAL; MODELOS MATEMÁTICOS; SELECCIÓN GENÓMICA. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
Marc : |
LEADER 01921naa a2200217 a 4500 001 1050907 005 2020-02-10 008 2011 bl uuuu u00u1 u #d 022 $a0931-2668 024 7 $a10.1111/j.1439-0388.2010.00912.x$2DOI 100 1 $aAGUILAR, I. 245 $aEfficient computation of the genomic relationship matrix and other matrices used in single-step evaluation.$h[electronic resource] 260 $c2011 520 $aABSTRACT. Genomic evaluations can be calculated using a unified procedure that combines phenotypic, pedigree and genomic information. Implementation of such a procedure requires the inverse of the relationship matrix based on pedigree and genomic relationships. The objective of this study was to investigate efficient computing options to create relationship matrices based on genomic markers and pedigree information as well as their inverses. SNP maker information was simulated for a panel of 40K SNPs, with the number of genotyped animals up to 30000. Matrix multiplication in the computation of the genomic relationship was by a simple 'do' loop, by two optimized versions of the loop, and by a specific matrix multiplication subroutine. Inversion was by a generalized inverse algorithm and by a LAPACK subroutine. With the most efficient choices and parallel processing, creation of matrices for 30000 animals would take a few hours. Matrices required to implement a unified approach can be computed efficiently. Optimizations can be either by modifications of existing code or by the use of efficient automatic optimizations provided by open source or third-party libraries. © 2011 Blackwell Verlag GmbH. 650 $aMEJORAMIENTO GENÉTICO ANIMAL 650 $aMODELOS MATEMÁTICOS 650 $aSELECCIÓN GENÓMICA 700 1 $aMISZTAL, I. 700 1 $aLEGARRA, A. 700 1 $aTSURUTA, S. 773 $tJournal of Animal Breeding and Genetics, 2011$gv.128, no.6, p.422-428.
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