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Registros recuperados : 224 | |
101. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | LEMA, O.M.; AGUILAR, I.; DIONELLO, N.J.L.; CARDOSO, F.F.; RAVAGNOLO, O.; GIMENO, D. Additive, heterotic and recombination losses for direct and maternal effects in growth for British, Continental and Zebu crosses. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 11., Aotea Centre Auckland, New Zealand: WCGALP, ICAR, 11-16 feb 2018.Biblioteca(s): INIA La Estanzuela. |
| ![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) |
102. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | AGUILAR, I.; TSURUTA, S.; MASUDA, Y.; LOURENCO, D.A.L.; LEGARRA, A.; MISZTAL, I. BLUPF90 suite of programs for animal breeding with focus on genomics. Volume Methods and Tools - Software, p. 751. 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) |
103. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | MACEDO, F.; CHRISTENSEN, O. F.; ASTRUC, J.M.; AGUILAR, I.; MASUDA, Y.; LEGARRA, A. Bias and accuracy of dairy sheep evaluations using BLUP and SSGBLUP with metafounders and unknown parent groups. Genetics, Selection, Evolution : GSE, 12 August 2020, Volume 52, Issue 1, Page 47. OPEN ACCESS. DOI: https://doi.org/10.1186/s12711-020-00567-1 Article history: Received 03 March 2020; Accepted 04 August 2020; Published 12 August 2020.Biblioteca(s): INIA Las Brujas. |
| ![Ver detalles del registro](/consulta/web/img/visualizar.png) ![Acceso al objeto digital](/consulta/web/img/pagina.png) ![Imprime registro en el formato completo](/consulta/web/img/print.png) |
104. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | LA MANNA, A.; TIERI, M.; FERNANDEZ, E.; MIERES, J.; PEREZ, E.; AGUILAR, I.; BANCHERO, G. Efecto del nivel de proteína y sustitución por urea durante la recría a corral : 3 desempeño posterior a pastoreo. In: CONGRESO ARGENTINO DE PRODUCCIÓN ANIMAL, 34.; JOINT MEETING AAPA-ASAS, 1., 2011, Mar del Plata. Resúmenes. Mar del Plata: ASAS/AAPA, 2011. Revista Argentina de Producción Animal, v. 31,suppl.1. p.355, 2011.Biblioteca(s): INIA La Estanzuela. |
| ![Ver detalles del registro](/consulta/web/img/visualizar.png) ![Acceso restrito al objeto digital](/consulta/web/img/lock.png) ![Imprime registro en el formato completo](/consulta/web/img/print.png) |
105. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | GROMPONE, M.A.; PAGANO, T.; HARISPE, R.; MIÑOS, A.; BODMER, L.; AGUILAR, I.; GIMENO, D. Contenido y composición lipídica de carnes bovinas uruguayas provenientes de diferentes cruzamientos. C&A Carnes y Alimentos, 2002, v. 3, no. 6, p. 5-9.Biblioteca(s): INIA Tacuarembó. |
| ![Ver detalles del registro](/consulta/web/img/visualizar.png) ![Imprime registro en el formato completo](/consulta/web/img/print.png) |
106. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | GARCÍA, A.; AGUILAR, I.; LEGARRA, A.; TSURUTA, S.; MISZTAL, I.; LOURENCO, D. Correction: Theoretical accuracy for indirect predictions based on SNP effects from single-step GBLUP (Genetics, selection, evolution : GSE (2022) 54:1 (66)). Genetics, Selection, Evolution : GSE, 2023, Volume 55, Issue 1, Pages 26. OPEN ACCESS. https://doi.org/10.1186/s12711-023-00799-x Article history: Published online 17 April 2023. -- Document: Erratum - Gold Open Access. -- The original article can be found online at https://doi.org/10.1186/s12711-022-00752-4Biblioteca(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) |
107. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | FERNANDES, A.F.A.; AGUILAR, I.; NEVES, H.H.R.; CARVALHEIRO, R.; QUEIROZ, S.A. Escore de condiçao corporal como indicador de habilidade materna e desempenho futuro de vacas Nelore. [Resumo]. Congreso de la Asociación Latinoamericana de Producción Animal, 24.; Congreso de la Sociedad Chilena de Producción Animal, 40., Puerto Varas, Chile, 9 al 13 noviembre 2015. ln: Reunión ALPA (24., Puerto Varas, Chile). Resúmenes. Puerto Varas (Chile): ALPA, 2015. p. 898Biblioteca(s): INIA Las Brujas. |
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108. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | NAVAJAS, E.; RAVAGNOLO, O.; AGUILAR, I.; CIAPPESONI, G.; PERAZA, P.; DALLA RIZZA, M.; MONTOSSI, F. Desarrollo de una plataforma en selección genómica enfocada en el progreso genético animal. ln: Jornada técnica, VI Jornada de agrobiotecnología. INIA Las Brujas, 20 de octubre de 2012 Conocimiento intensivo para el sector productivo: situación actual y perspectivas. Canelones (UY): INIA, 2012. 10-12 (Serie Actividades de Difusión; 698)Biblioteca(s): INIA Las Brujas. |
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110. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | MISZTAL, I.; AGUILAR, I.; LOURENCO, D.; MA, L.; STEIBEL, J.P. Emerging issues in genomic selection. Animal Genetics and Genomics. Journal of Animal Science, June 2021, Volume 99, Issue 61, skab092. OPEN ACCESS. Doi: https://doi.org/10.1093/jas/skab092 Article history: Received 23 January 2021; Accepted 26 March 2021; Advance Access publication March 27, 2021.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License...Biblioteca(s): INIA Las Brujas. |
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111. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | FRAGOMENI, B.O.; MISZTAL, I.; LOURENCO, D.L.; AGUILAR, I.; OKIMOTO, R.; MUIR, W.M. Changes in variance explained by top SNP windows over generations for three traits in broiler chicken Frontiers in Genetics, 2014, v.5, no.Oct., Article number 332. OPEN ACCESS. Article history: Published 01 October 2014.Biblioteca(s): INIA Las Brujas. |
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112. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | LOURENÇO, D. A. L.; MISZTAL, I.; TSURUTA, S.; FRAGOMENI, B.; AGUILAR, I.; MASUDA, Y.; MOSER, D. Direct and indirect genomic evaluations in beef cattle. Interbull Bulletin, 2015, v. 49, p.80 - 84.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) |
Registros recuperados : 224 | |
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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 : |
LOURENÇO, D. A. L.; MISZTAL, I.; TSURUTA, S.; FRAGOMENI, B.; AGUILAR, I.; MASUDA, Y.; MOSER, D. |
Afiliación : |
IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Direct and indirect genomic evaluations in beef cattle. |
Fecha de publicación : |
2015 |
Fuente / Imprenta : |
Interbull Bulletin, 2015, v. 49, p.80 - 84. |
Idioma : |
Inglés |
Contenido : |
ABSTRACT.
We tested two modifications into single-step genomic BLUP (ssGBLUP) that allow it to work with a large amount of genotyped animals. The first method is based on genomic recursions (APY) to construct the inverse of the genomic relationship matrix without directly inverting it; all available genotyped animals are included in ssGBLUP with APY, but they are split into base and non-base, and the method returns direct predictions. The second method is an interim genomic evaluation (IP) for young genotyped animals; only a reference set of animals are used in ssGBLUP with IP, and the method returns indirect predictions for young genotyped animals. A dataset from American Angus with records for growth traits was used. Over 8 million animals were in the pedigree, of which 51,883 were genotyped. The ssGBLUP with APY was as accurate as regular ssGBLUP when the number of genotyped base animals was at least 10,000; this method was also faster and required less memory. The ssGBLUP with IP mimicking the previous official evaluation returned the same accuracy of GEBV for young animals as the regular ssGBLUP. While the first method enables complete genomic evaluations for huge genotyped populations, the second allows for quick genomic predictions on young animals without including their information into a new run of evaluation. |
Palabras claves : |
BIG GENOTYPED POPULATION; GENOMIC RECURSIONS; INTERIM GEBV; SINGLE-STEP GENOMIC BLUP. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12202/1/1381-2377-1-PB.pdf
|
Marc : |
LEADER 02005naa a2200241 a 4500 001 1012456 005 2018-12-18 008 2015 bl uuuu u00u1 u #d 100 1 $aLOURENÇO, D. A. L. 245 $aDirect and indirect genomic evaluations in beef cattle.$h[electronic resource] 260 $c2015 520 $aABSTRACT. We tested two modifications into single-step genomic BLUP (ssGBLUP) that allow it to work with a large amount of genotyped animals. The first method is based on genomic recursions (APY) to construct the inverse of the genomic relationship matrix without directly inverting it; all available genotyped animals are included in ssGBLUP with APY, but they are split into base and non-base, and the method returns direct predictions. The second method is an interim genomic evaluation (IP) for young genotyped animals; only a reference set of animals are used in ssGBLUP with IP, and the method returns indirect predictions for young genotyped animals. A dataset from American Angus with records for growth traits was used. Over 8 million animals were in the pedigree, of which 51,883 were genotyped. The ssGBLUP with APY was as accurate as regular ssGBLUP when the number of genotyped base animals was at least 10,000; this method was also faster and required less memory. The ssGBLUP with IP mimicking the previous official evaluation returned the same accuracy of GEBV for young animals as the regular ssGBLUP. While the first method enables complete genomic evaluations for huge genotyped populations, the second allows for quick genomic predictions on young animals without including their information into a new run of evaluation. 653 $aBIG GENOTYPED POPULATION 653 $aGENOMIC RECURSIONS 653 $aINTERIM GEBV 653 $aSINGLE-STEP GENOMIC BLUP 700 1 $aMISZTAL, I. 700 1 $aTSURUTA, S. 700 1 $aFRAGOMENI, B. 700 1 $aAGUILAR, I. 700 1 $aMASUDA, Y. 700 1 $aMOSER, D. 773 $tInterbull Bulletin, 2015$gv. 49, p.80 - 84.
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