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101. | | 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. |
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102. | | 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. |
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103. | | 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. |
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104. | | 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. |
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105. | | 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. |
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106. | | 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. | | 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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109. | | 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. | | 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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111. | | 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. |
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112. | | CHEN, C.Y.; MISZTAL, I.; AGUILAR, I.; LEGARRA, A.; MUIR, W.M. Effect of different genomic relationship matrices on accuracy and scale. Journal of Animal Science, 2011, v.89, no.9, p.2673-2679. Article history: Received September 29, 2010. / Accepted March 21, 2011.Biblioteca(s): INIA Las Brujas. |
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113. | | AGUILAR, I.; FERNÁNDEZ, E.N.; BLASCO, A.; RAVAGNOLO, O.; LEGARRA, A. Effects of ignoring inbreeding in model-based accuracy for BLUP and SSGBLUP. Journal of Animal Breeding and Genetics, 1 July 2020, Volume 137, Issue 4, pp. 356-364. Doi: https://doi.org/10.1111/jbg.12470 Article history: Received: 22 August 2019 / Revised: 10 December 2019 / Accepted: 11 January 2020 / First published:20 February 2020
Corresponding author: Aguilar, I.; email:iaguilar@inia.org.uy
Funding information: FEDER; INRA;...Biblioteca(s): INIA Las Brujas. |
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Registros recuperados : 223 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
31/03/2021 |
Actualizado : |
31/03/2021 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
Autor : |
MOTA, R.R.; TEMPELMAN, R.J.; FERNANDO F CARDOSO; AGUILAR, I.; LOPES, P.S. |
Afiliación : |
RODRIGO REIS MOTA, Michigan State University; Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil; ROBERT J TEMPELMAN, Michigan State University; CARDOSO, F.F., Embrapa Southern Region Animal Husbandry, Bagé, Rio Grande do Sul, Brazil; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PAULO S LOPES, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil. |
Título : |
Genomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm models. |
Complemento del título : |
Volume Species Breeding: Beef cattle, 235. |
Fecha de publicación : |
2014 |
Fuente / Imprenta : |
In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.235. |
Idioma : |
Inglés |
Notas : |
Acknowledgments: The authors thank Delta G Connection by providing the data used in this research; Embrapa Southern Region Animal Husbandry and Michigan State University for theoretical and technical support; CAPES, CNPq and FAPEMIG by granting the scholarship. |
Contenido : |
ABSTRACT.
The objective of this study was to compare a conventional genomic model (GBLUP) and its extension to a linear reaction norm model (GLRNM) specifying genotype by environment interaction (G*E) for tick resistance in Brazilian cattle. Tick counts (TC) from 4,363 Hereford and Braford cattle from 146 contemporary groups (CG) were available of which 3,591 animals had BovineSNP50 Illumina v2 BeadChip genotypes. The reaction norm covariate was based on CG estimates of TC from a first-step model. Analysis was conducted based on adapting the single step GBLUP/REML procedure. Five-fold cross validation based on K-means and random partitioning was used to compare the fit of the two models. Cross validation correlations were strong and not significantly different between models for either partitioning strategy. Nevertheless, it seems apparent that G*E for tick infestation exists and can captured by GLRNM models. |
Palabras claves : |
Cross validation; Single-step; Tick counts. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15448/1/Mota-et-al.-2014.-WCGALP.pdf
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Marc : |
LEADER 01877nam a2200205 a 4500 001 1061924 005 2021-03-31 008 2014 bl uuuu u01u1 u #d 100 1 $aMOTA, R.R. 245 $aGenomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm models.$h[electronic resource] 260 $aIn: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.235.$c2014 500 $aAcknowledgments: The authors thank Delta G Connection by providing the data used in this research; Embrapa Southern Region Animal Husbandry and Michigan State University for theoretical and technical support; CAPES, CNPq and FAPEMIG by granting the scholarship. 520 $aABSTRACT. The objective of this study was to compare a conventional genomic model (GBLUP) and its extension to a linear reaction norm model (GLRNM) specifying genotype by environment interaction (G*E) for tick resistance in Brazilian cattle. Tick counts (TC) from 4,363 Hereford and Braford cattle from 146 contemporary groups (CG) were available of which 3,591 animals had BovineSNP50 Illumina v2 BeadChip genotypes. The reaction norm covariate was based on CG estimates of TC from a first-step model. Analysis was conducted based on adapting the single step GBLUP/REML procedure. Five-fold cross validation based on K-means and random partitioning was used to compare the fit of the two models. Cross validation correlations were strong and not significantly different between models for either partitioning strategy. Nevertheless, it seems apparent that G*E for tick infestation exists and can captured by GLRNM models. 653 $aCross validation 653 $aSingle-step 653 $aTick counts 700 1 $aTEMPELMAN, R.J. 700 1 $aFERNANDO F CARDOSO 700 1 $aAGUILAR, I. 700 1 $aLOPES, P.S.
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