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Registros recuperados : 224 | |
181. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | FORNERIS, N. S.; LEGARRA, A.; VITEZICA, Z. G.; TSURUTA, S.; AGUILAR, I.; CANTET, R.J.C.; MISZTAL, I. Quality control of genotypes using heritability estimates of gene content. Volume Genetic Improvement Programs: Selection using molecular information (Posters), 471. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.471.Biblioteca(s): INIA Las Brujas. |
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182. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | LONDOÑO-GIL, M.; LÓPEZ-CORREA, R.; AGUILAR, I.; MAGNABOSCO, C.U.; HIDALGO, J.; BUSSIMAN, F.; BALDI, F.; LOURENCO, D. Strategies for genomic predictions of an indicine multi-breed population using single-step GBLUP. Journal of Animal Breeding and Genetics, 2024. https://doi.org/10.1111/jbg.12882 - [Early view] Article history: Received 22 March 2024, Revised 10 May 2024, Accepted 15 May 2024. -- Corresponding author: Londoño-Gil, M.; Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista Júlio de Mesquita Filho, Via de...Biblioteca(s): INIA Las Brujas. |
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183. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | Aguilar, I.; Pravia, M.I.; Ravagnolo, O.; Chiappesoni, G.; Mattos, M.; Ahlig, I.; Urioste, J.; Naya, H. Servicio de evaluación de reproductores Aberdeen Angus Las Brujas, Canelones (Uruguay): INIA, 2004. 23 pBiblioteca(s): INIA La Estanzuela; INIA Las Brujas. |
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184. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | LOURENCO, D.; TSURUTA, S.; FRAGOMENI, B.; MASUDA, Y.; AGUILAR, I.; LEGARRA, A.; MILLER, S.; MOSER, D.; MISZTAL, I. Single-step genomic BLUP for national beef cattle evaluation in US: from initial developments to final implementation. Volume Species - Bovine (beef) 1, 495. 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 Las Brujas. |
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185. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | MASUDA, Y.; MISZTAL, I.; TSURUTA, S.; LOURENÇO, D. A. L.; FRAGOMENI, B.; LEGARRA, A.; AGUILAR, I.; LAWLOR, T. J. Single-step genomic evaluations with 570K genotyped animals in US Holsteins. Interbull Bulletin, 2015, v. 49, p. 85-89.Biblioteca(s): INIA Las Brujas. |
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186. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | MASUDA, Y; MISZTAL, I.; LEGARRA, A.; TSURUTA, S.; LOURENCO, D.A.L.; FRAGOMENI, B.O.; AGUILAR, I. Technical note: Avoiding the direct inversion of the numerator relationship matrix for genotyped animals in single-step genomic best linear unbiased prediction solved with the preconditioned conjugate gradient. Journal of Animal Science, 2017, v. 95(1): 49-52. Article history: Received: July 05, 2016; Accepted: Aug 16, 2016; Published: February 2, 2017.
This research was partially funded by the United States Department of Agriculture?s National Institute of Food and Agriculture (Agriculture and...Biblioteca(s): INIA Las Brujas. |
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187. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | CARDOSO, F. F.; SOLLERO, B. P.; COMIN, H. B.; GOMES, C. G.; ROSO, V. M.; HIGA, R. H.; CAETANO, A. R.; YOKOO, M. J.; AGUILAR, I. Accuracy of genomic prediction for tick resistance in Braford and Hereford cattle. Volume Species Breeding: Beef cattle (Posters), 713. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.713. Acknowledgments: Research supported by CNPq - National Council for Scientific and Technological Development grant 478992/2012-2, Embrapa - Brazilian Agricultural Research Corporation grants 02.09.07.004 and 01.11.07.002.07, and CAPES -...Biblioteca(s): INIA Las Brujas. |
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188. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | SILVA, D.A.; COSTA, C.N.; SILVA, A.A.; SILVA, H.T.; LOPES, P.S.; SILVA, F.F.; VERONEZE, R.; THOMPSON, G.; AGUILAR, I.; CARVALHEIRA, J. Autoregressive and random regression test-day models for multiple lactations in genetic evaluation of Brazilian Holstein cattle. Journal of Animal Breeding and Genetics, 1 May 2020, Volume 137, Issue 3, Pages 305-315. Doi: https://doi.org/10.1111/jbg.12459 Article history: Received: 10 July 2019 / Revised: 31 October 2019 / Accepted: 3 November 2019 / First published: 08 December 2019.
Funding information: The authors acknowledge the Brazilian Holstein Cattle Breeders Association (ABCBRH)...Biblioteca(s): INIA Las Brujas. |
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189. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | REBOLLO, I.; SCHEFFEL, S.; BLANCO, P.H.; MOLINA, F.; MARTÍNEZ, S.; CARRACELAS, G.; AGUILAR, I.; PÉREZ DE VIDA, F.; ROSAS, J.E. Consolidating twenty-three years of historical data from an irrigated subtropical rice breeding program in Uruguay. Crop Science, 2023. https://doi.org/10.1002/csc2.20955 - [Article in Press]. Article history: First published 15 March 2023. -- Corresponding author: jrosas@inia.org.uy --Biblioteca(s): INIA Las Brujas. |
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190. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | PRAVIA, M.I.; NAVAJAS, E.; DELAFUENTE, J.; LEMA, O.M.; RAVAGNOLO, O.; AGUILAR, I.; CALISTRO, A.; BRITO, G.; PERAZA, P.; CLARIGET, J.M.; DALLA RIZZA, M.; MONTOSSI, F. Construyendo las bases para la selección genómica en la raza Hereford. Eficiencia de conversión y calidad de canal y carne. Revista INIA Uruguay, 2014, no.38, p. 56-59. (Revista INIA; 38)Biblioteca(s): INIA La Estanzuela; INIA Las Brujas; INIA Tacuarembó; INIA Treinta y Tres. |
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191. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | NAVAJAS, E.; RAVAGNOLO, O.; AGUILAR, I.; PRAVIA, M.I.; CALISTRO, A.; MACEDO, F.; LEMA, O.M.; DEL PINO, M.L.; DALLA RIZZA, M.; CIAPPESONI, G. EPD Genómicos de eficiencia de conversión en la raza Hereford. Anuario Hereford (Montevideo), p. 176-178, 2017.Biblioteca(s): INIA La Estanzuela. |
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192. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | DE MATTOS, D.; CIAPPESONI, G.; GIMENO, D.; RAVAGNOLO, O.; AGUILAR, I.; DE BARBIERI, I.; MONTOSSI, F.; MARTÍNEZ, H.; FRUGONI, J.C.; GRATTAROLA, M.; PÉREZ JONES, J.; FROS, A. Evaluación genética del núcleo fundacional merino fino: análisis combinado población merino fino - generación 2002. ln: INIA Tacuarembó. Sociedad Criadores Merino Australiano del Uruguay. SUL. Proyecto Merino Fino del Uruguay: cuarta distribución de carneros generados en el Núcleo Fundacional de Merino Fino de la la Unidad Experimental Glencoe, 1999 - 2003. Glencoe, Paysandú, 10 de diciembre, 2003. Tacuarembó (Uruguay): INIA, 2003. p. 59-71 (INIA Serie Actividades de Difusión ; 343)Biblioteca(s): INIA Tacuarembó. |
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197. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | RAVAGNOLO, O.; LEMA, O.M.; CALISTRO, A.; GONZALEZ, I.; LEMES, F.; COSTALES, J.; ZAMIT, W.; AGUILAR, I.; NAVAJAS, E.; SOARES DE LIMA, J.M. Evaluación genética de la raza Hereford 2020. Anuario Hereford (Montevideo), 2020, p. 206-208.Biblioteca(s): INIA La Estanzuela; INIA Tacuarembó. |
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198. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | ROMAN, L.; LA MANNA, A.; ACOSTA, Y.; MENDOZA, A.; AGUILAR, I.; MORALES-PIÑEYRUA, J.; PLA, M.; LAURA ASTIGARRAGA, L.; SARAVIA, C. Evaluación de medidas de mitigación del estrés por calor sobre las respuestas productivas de vacas lecheras de alta producción. In: Día de Campo: producción de forraje y leche en verano. La Estanzuela, Colonia, (Uruguay): INIA, 2013. p. 15. (Serie Actividades de Difusión; 705).Biblioteca(s): INIA La Estanzuela. |
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199. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | NAVAJAS, E.; MACEDO, F.; RAVAGNOLO, O.; AGUILAR, I.; CLARIGET, J.; LEMA, O.M.; PERAZA, P.; PRAVIA, M.I.; DALLA RIZZA, M.; CIAPPESONI, G. Herramientas genómicas para mejorar la eficiencia de alimentación y la calidad de canal de la raza Hereford. 3 - SIMPOSIOS "MEJORA GENÉTICA EN PRODUCCIÓN Y CALIDAD DE CARNE EN ESPECIES DE INTERÉS ECONÓMICO" 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. 28Biblioteca(s): INIA Las Brujas. |
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200. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | LOURENCO, D. A. L.; TSURUTA, S.; FRAGOMENI, B. O.; MASUDA, Y.; AGUILAR, I.; LEGARRA, A.; BERTRAND, J. K.; AMEN, T. S.; WANG. L.; MOSER, D. W.; MISZTAL, I. Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus.(*) Journal of Animal Science, 2015, v. 93, p. 2653-2662. Published June 25, 2015. OPEN ACCESS. (*) This study was partially funded by the American Angus Association (St. Joseph, MO), Zoetis (Kalamazoo, MI), and Agriculture and Food Research Initiative Competitive Grants no. 2015-67015-22936 from the U.S. Department of Agriculture?s...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
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
18/12/2017 |
Actualizado : |
15/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
LOURENCO, D.A.L.; FRAGOMENI, B.O.; BRADFORD, H.L.; MENEZES I.R.; FERRAZ, J.B.S.; AGUILAR, I.; MISZTAL, I. |
Afiliación : |
D.A.L. LOURENCO, Universidad de Georgia (UG); B.O. FRAGOMENI, Universidad de Georgia (UG); H.L. BRADFORD, Universidad de Georgia (UG); I.R. MENEZES, FZEA, University of Sao Paulo.; J.B.S. FERRAZ, FZEA, University of Sao Paulo.; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; I. MISZTAL, Universidad de Georgia (UG). |
Título : |
Implications of SNP weighting on single-step genomic predictions for different reference population sizes. |
Fecha de publicación : |
2017 |
Fuente / Imprenta : |
Journal of Animal Breeding and Genetics, 2017, v. 134 (6), p. 463-471. |
DOI : |
10.1111/jbg.12288 |
Idioma : |
Inglés |
Notas : |
Article history: Received: 28 February 2017 / Accepted: 19 July 2017.
This study was partially funded by the American Angus Association (St. Joseph, MO), Zoetis (Kalamazoo, MI) and by Agriculture and Food Research Initiative Competitive Grants no. 2015-67015-22936 from the US Department of Agriculture's National Institute of Food and Agriculture. We gratefully acknowledge the very helpful comments by the two anonymous reviewers, and we thank Andra H. Nelson for assisting with data analysis. |
Contenido : |
ABSTRACT.
We investigated the importance of SNP weighting in populations with 2,000 to 25,000 genotyped animals. Populations were simulated with two effective sizes (20 or 100) and three numbers of QTL (10, 50 or 500). Pedigree information was available for six generations; phenotypes were recorded for the four middle generations. Animals from the last three generations were genotyped for 45,000 SNP. Single-step genomic BLUP (ssGBLUP) and weighted ssGBLUP (WssGBLUP) were used to estimate genomic EBV using a genomic relationship matrix (G). The WssGBLUP performed better in small genotyped populations; however, any advantage for WssGBLUP was reduced or eliminated when more animals were genotyped. WssGBLUP had greater resolution for genome-wide association (GWA) as did increasing the number of genotyped animals. For few QTL, accuracy was greater for WssGBLUP than ssGBLUP; however, for many QTL, accuracy was the same for both methods. The largest genotyped set was used to assess the dimensionality of genomic information (number of effective SNP). The number of effective SNP was considerably less in weighted G than in unweighted G. Once the number of independent SNP is well represented in the genotyped population, the impact of SNP weighting becomes less important.
© 2017 Blackwell Verlag GmbH |
Palabras claves : |
ACCURAY; BAYES B; SNP WEIGHTING; VARIABLE SELECTION; WEIGTED SSGBLUP. |
Asunto categoría : |
-- |
Marc : |
LEADER 02612naa a2200277 a 4500 001 1057902 005 2019-10-15 008 2017 bl uuuu u00u1 u #d 024 7 $a10.1111/jbg.12288$2DOI 100 1 $aLOURENCO, D.A.L. 245 $aImplications of SNP weighting on single-step genomic predictions for different reference population sizes.$h[electronic resource] 260 $c2017 500 $aArticle history: Received: 28 February 2017 / Accepted: 19 July 2017. This study was partially funded by the American Angus Association (St. Joseph, MO), Zoetis (Kalamazoo, MI) and by Agriculture and Food Research Initiative Competitive Grants no. 2015-67015-22936 from the US Department of Agriculture's National Institute of Food and Agriculture. We gratefully acknowledge the very helpful comments by the two anonymous reviewers, and we thank Andra H. Nelson for assisting with data analysis. 520 $aABSTRACT. We investigated the importance of SNP weighting in populations with 2,000 to 25,000 genotyped animals. Populations were simulated with two effective sizes (20 or 100) and three numbers of QTL (10, 50 or 500). Pedigree information was available for six generations; phenotypes were recorded for the four middle generations. Animals from the last three generations were genotyped for 45,000 SNP. Single-step genomic BLUP (ssGBLUP) and weighted ssGBLUP (WssGBLUP) were used to estimate genomic EBV using a genomic relationship matrix (G). The WssGBLUP performed better in small genotyped populations; however, any advantage for WssGBLUP was reduced or eliminated when more animals were genotyped. WssGBLUP had greater resolution for genome-wide association (GWA) as did increasing the number of genotyped animals. For few QTL, accuracy was greater for WssGBLUP than ssGBLUP; however, for many QTL, accuracy was the same for both methods. The largest genotyped set was used to assess the dimensionality of genomic information (number of effective SNP). The number of effective SNP was considerably less in weighted G than in unweighted G. Once the number of independent SNP is well represented in the genotyped population, the impact of SNP weighting becomes less important. © 2017 Blackwell Verlag GmbH 653 $aACCURAY 653 $aBAYES B 653 $aSNP WEIGHTING 653 $aVARIABLE SELECTION 653 $aWEIGTED SSGBLUP 700 1 $aFRAGOMENI, B.O. 700 1 $aBRADFORD, H.L. 700 1 $aMENEZES I.R. 700 1 $aFERRAZ, J.B.S. 700 1 $aAGUILAR, I. 700 1 $aMISZTAL, I. 773 $tJournal of Animal Breeding and Genetics, 2017$gv. 134 (6), p. 463-471.
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