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| Registros recuperados : 224 | |
| 181. |  | 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. | | 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. | | 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 p| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas. |
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| 184. | | 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. | | 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. | | 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. | | 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. | | 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. | | 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. | | 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. | | 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. | | 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. | | 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. | | 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. | | 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. 28| Biblioteca(s): INIA Las Brujas. |
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| 200. | | 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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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
31/03/2021 |
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Actualizado : |
31/03/2021 |
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Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
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Autor : |
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. |
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Afiliación : |
FERNANDO F. CARDOSO, Embrapa Southern Region Animal Husbandry, Bagé; BRUNA P. SOLLERO, Embrapa Southern Region Animal Husbandry, Bagé; HELENA B. COMIN, Embrapa Southern Region Animal Husbandry, Bagé; CLAUDIA G GOMES, Embrapa Southern Region Animal Husbandry, Bagé; VANERLEI M. ROSO, Gensys Associated Consultants, Porto Alegre; ROBERTO H. HIGA, Embrapa Agriculture Informatics, Campinas; ALEXANDRE R. CAETANO, Embrapa Genetic Resources & Biotechnology, Brasilia, Brazil; MARCOS J. YOKOO, Embrapa Southern Region Animal Husbandry, Bagé; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Accuracy of genomic prediction for tick resistance in Braford and Hereford cattle. |
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Complemento del título : |
Volume Species Breeding: Beef cattle (Posters), 713. |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.713. |
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Idioma : |
Inglés |
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Notas : |
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 - Coordination for the Improvement of Higher Level Personnel grant PNPD 02645/09-2. Authors acknowledge the Delta G Connection for providing animals and data for this research. |
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Contenido : |
ABSTRACT.
This work aimed to determine the accuracy and bias of genomic predictions of Braford (BO) and Hereford (HH) cattle genetic resistance to ticks. Repeated 10,673 tick counts were obtained from 3,435 BO and 928 HH cattle from Delta G Connection breeding program. A subset of 2,803 BO and 652 HH samples were genotyped and 41,045 markers remained after quality control. Log transformed records were adjusted by a pedigree repeatability model to estimate breeding values (EBV), subsequently used to obtained deregressed EBV. Data were split into five subsets for cross-validation using k-means and random clustering. Genomic predictions with moderate accuracies (0.38 to 0.60) were obtained by best unbiased linear prediction (GBLUP), BayesB and single step GBLUP indicating that, despite some bias, genomic selection could be used as practical tool to improve cattle genetic resistance to ticks. |
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Palabras claves : |
Beef cattle; Genomic selection; Health; Tick resistance. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15450/1/Cardoso-et-al.-2014.-WCGALP.pdf
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Marc : |
LEADER 02130nam a2200265 a 4500
001 1061926
005 2021-03-31
008 2014 bl uuuu u01u1 u #d
100 1 $aCARDOSO, F. F.
245 $aAccuracy of genomic prediction for tick resistance in Braford and Hereford cattle.$h[electronic resource]
260 $aIn: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.713.$c2014
500 $aAcknowledgments: 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 - Coordination for the Improvement of Higher Level Personnel grant PNPD 02645/09-2. Authors acknowledge the Delta G Connection for providing animals and data for this research.
520 $aABSTRACT. This work aimed to determine the accuracy and bias of genomic predictions of Braford (BO) and Hereford (HH) cattle genetic resistance to ticks. Repeated 10,673 tick counts were obtained from 3,435 BO and 928 HH cattle from Delta G Connection breeding program. A subset of 2,803 BO and 652 HH samples were genotyped and 41,045 markers remained after quality control. Log transformed records were adjusted by a pedigree repeatability model to estimate breeding values (EBV), subsequently used to obtained deregressed EBV. Data were split into five subsets for cross-validation using k-means and random clustering. Genomic predictions with moderate accuracies (0.38 to 0.60) were obtained by best unbiased linear prediction (GBLUP), BayesB and single step GBLUP indicating that, despite some bias, genomic selection could be used as practical tool to improve cattle genetic resistance to ticks.
653 $aBeef cattle
653 $aGenomic selection
653 $aHealth
653 $aTick resistance
700 1 $aSOLLERO, B. P.
700 1 $aCOMIN, H. B.
700 1 $aGOMES, C. G.
700 1 $aROSO, V. M.
700 1 $aHIGA, R. H.
700 1 $aCAETANO, A. R.
700 1 $aYOKOO, M. J.
700 1 $aAGUILAR, I.
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