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| Registros recuperados : 32 | |
| 10. |  | QUINTANS, G.; SCARSI, A.; VELAZCO, J.I.; BANCHERO, G. Different forage allowances in the pre- and postpartum period and the production of beef cows: session 58; theatre 9. In: Annual Meeting of the European Federation of Animal Science (EAAP), 64., 2013, Nantes, FR. Book of abstracts... Wageningen, NL: WAP, 2013. p. 629. Resumen de presentación oral.| Biblioteca(s): INIA La Estanzuela; INIA Treinta y Tres. |
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| 11. | | QUINTANS, G.; SCARSI, A.; VELAZCO, J.I.; BANCHERO, G. Effect of different forage allowances in the pre- and postpartum period on the production of beef cows. In: Annual Meeting of the European Federation of Animal Science (EAAP), 64., 2013, Nantes, FR. Session 58: cattle production free communications. Wageningen, NL: WAP, 2013. 27 p. Comunicación que acompañó la presentación oral.| Biblioteca(s): INIA La Estanzuela; INIA Treinta y Tres. |
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| 16. | | QUINTANS, G.; SCARSI, A.; ROIG, G.; CARRIQUIRY, M.; BANCHERO, G. Influence of a short-term prepartum supplementation of beef cows and calves performance in pastoral conditions. Animal Production Science, v. 56, no. 11, p. 1913-1919, 2016. Article history: Received 11 February 2015, accepted 11 June 2015, published online 15 September 2015.| Biblioteca(s): INIA La Estanzuela; INIA Treinta y Tres. |
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| 18. | | SCARSI, A.; ASTESSIANO, A.; LAPORTA, J.; QUINTANS, G.; CARRIQUIRY, M. Suplementación corta preparto en vacas multíparas y su efecto sobre la expresión hepática de genes del sistema IGF: resultados preliminares. [Resumen simposio]. Agrociencia Uruguay, 2010, v.14, no.3, p. 162 Publicado en Agrociencia (Congreso Asociación Uruguaya de Producción Animal; 4-5 Noviembre 2010, Montevideo, Uruguay [s.l.]: Facultad de Agronomía, 2010)| Biblioteca(s): INIA Treinta y Tres. |
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| 19. | | SCARSI, A.; ASTESSIANO, A.; LAPORTA, J.; QUINTANS, G.; CARRIQUIRY, M. Suplementación corta preparto en vacas primíparas y su efecto sobre la expresión hepática del genes del sistema IGF: resultados preliminares. [Resumen de simposio]. Agrociencia Uruguay, 2010 v.14, no.3, p.161. Publicado en Agrociencia Uruguay, número especial: III Congreso Asociación Uruguaya de Producción Animal; 4-5 Noviembre 2010, Montevideo, Uruguay: Facultad de Agronomía, 2010.| Biblioteca(s): INIA Treinta y Tres. |
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| 20. | | BRIANO, C.; SCARSI, A.; VELAZCO, J.I.; BAKKER, M.; BANCHERO, G.; MEIKLE, A.; QUINTANS, G. Alta y baja asignación de forraje antes del parto: efectos sobre variables productivas y reproductivas. Resultados preliminares In: QUINTANS, G.; SCARSI, A. (Eds.). Seminario de actualización técnica: cría vacuna Montevideo (UY): INIA, 2013. p. 175-185 (INIA Serie Técnica; 208)| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas; INIA Tacuarembó; INIA Treinta y Tres. |
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| Registros recuperados : 32 | |
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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
04/10/2014 |
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Actualizado : |
10/02/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 2 |
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Autor : |
AGUILAR, I.; MISZTAL, I.; LEGARRA, A.; TSURUTA, S. |
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Afiliación : |
IGNACIO AGUILAR GARCIA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Efficient computation of the genomic relationship matrix and other matrices used in single-step evaluation. |
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Fecha de publicación : |
2011 |
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Fuente / Imprenta : |
Journal of Animal Breeding and Genetics, 2011, v.128, no.6, p.422-428. |
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ISSN : |
0931-2668 |
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DOI : |
10.1111/j.1439-0388.2010.00912.x |
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Idioma : |
Inglés |
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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. |
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Thesagro : |
MEJORAMIENTO GENÉTICO ANIMAL; MODELOS MATEMÁTICOS; SELECCIÓN GENÓMICA. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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Marc : |
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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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