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Registros recuperados : 165 | |
101. | | MACEDO, F.; NAVAJAS, E.; AGUILAR, I.; GRASSO, A.; PIERUCCIONI, F.; CIAPPESONI, G. New parentage testing SNP panel for commercial breeds will be a useful tool for conservation of creole sheep. Volume Genetic Improvement Programs: Selection for harsh environments and management of animal genetic resources (Posters), , 441. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p. 441. 3 p.Biblioteca(s): INIA Las Brujas. |
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102. | | GRASSO, A.; GOLDBERG, V.; IRIARTE, W.; GIMENO,D.; CASTELLS, D.; RINCON, G.; NAVAJAS, E.; CIAPPESONI, G. Nuevas herramientas moleculares para la selección en ovinos: ejemplo de caso resistencia a parásitos gastrointestinales 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. 7-9 (Serie Actividades de Difusión; 698)Biblioteca(s): INIA Las Brujas. |
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105. | | CIAPPESONI, G.; NAVAJAS, E.; BAPTISTA, R.; AGUILAR, I.; PERAZA, P.; CARRACELAS, B.; DE BARBIERI, I. Proyecto SMARTER. INIA ya está en el Mundial de la Genética Ovina. Producción Animal. Revista INIA Uruguay, Marzo 2022, no.68, p.15-18. (Revista INIA; 68).Biblioteca(s): INIA Las Brujas. |
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106. | | DE BARBIERI, I.; NAVAJAS, E.; DOUHARD, F.; CONINGTON, J.; Z. RAMOS; CIAPPESONI, G. PL-8 A review of sheep resilience. [conference abstract]. Animal - science proceedings, March 2023, Volume 14, Issue 1, Pages 11-12. doi: https://doi.org/10.1016/j.anscip.2023.01.009 Article history: Available online 13 March 2023, Version of Record 13 March 2023. -- Corresponding author: Ignacio de Barbieri. E-mail: idebarbieri@inia.org.uy --
Acknowledgments: Authors acknowledge the contribution of the projects...Biblioteca(s): INIA Las Brujas. |
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109. | | BLUMETTO, O.; DE BARBIERI, I.; NAVAJAS, E.; BAETHGEN, W.; VERA, B.; BECOÑA, G.; CIAPPESONI, G. Regenerative livestock farming in Uruguay. Montevideo (UY): INIA, 2023. 23 p. (INIA, Special Edition). Technical review: Ing. Agr. PhD Verónica Ciganda y DMV PhD Georgget Banchero. -- This publication derives from the research work of the Natural Resources, Production and Environment Area, within the framework of the Extensive Livestock...Biblioteca(s): INIA Las Brujas. |
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110. | | NAVAJAS, E.; RAVAGNOLO, O.; AGUILAR, I.; CIAPPESONI, G.; PERAZA, P.; DALLA RIZZA, M.; MONTOSSI, F. Selección genómica animal: quién, cómo y dónde. ln: INIA TACUAREMBÓ. UNIDAD DE BIOTECNOLOGÍA INIA. Jornada técnica. Jornada de Agrobiotecnología INIA, 15 NOVIEMBRE, Tacuarembó, Biotecnología para el sector productivo: situación actual y perspectivas. Tacuarembó (Uruguay): INIA, 2012. p. 17-19 (INIA Serie Actividades de Difusión; 702) INIA TacuarembóBiblioteca(s): INIA Tacuarembó. |
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111. | | SAWALHA, R. M.; NAVAJAS, E.; DUTHIE, C. A.; ROEHE, R.; ROUGHSEDGE, T.; WALL, E. Selection response in UK sheep breeding program with the application of genomic selection and inclusion of production efficiency traits. Volume Genetic improvement programmes: Selection using molecular information - Poster Sessions, 0752. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 9., Leipzig, Germany, August 1-6, 2010. p. 0752.Biblioteca(s): INIA Las Brujas. |
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112. | | NAVAJAS, E.; GARRICK, D.J.; PLEASANTS, A.B.; MORRIS, C.A. Superiority of a biochemically-based approach for the detection of a quantitative trait locus affecting ultimate pH. Session 11. Growth and meat quality Communication No. 11-16. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 7., Montpellier, France, August 19-23, 2002, p. 11-16.Biblioteca(s): INIA Las Brujas. |
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113. | | VERA, B.; NAVAJAS, E.; DE BARBIERI, I.; VAN LIER, E.; CIAPPESONI, G. Predicciones genómicas para rasgos productivos y de valor ambiental en ovinos Merino Australiano. [resumen]. In: REDBIO México 2022, XI Congreso, "Biotecnología productiva y sostenible". Libro de resúmenes. 12-14 octubre 2022, Yucatán, México. p.122. Este trabajo fue parcialmente financiado por los proyectos SMARTER (772787), RUMIAR, GrassToGas, CSIC I+D-2018-287.Biblioteca(s): INIA Las Brujas. |
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114. | | VERA, B.; MONZALVO, C.; NAVAJAS, E.; DE BARBIERI, I.; CARRACELAS, B.; VAN LIER, E.; CIAPPESONI, G. Predicción del valor genético de ovinos en predios comerciales para emisión de metano, eficiencia de conversión y características productivas. Revista INIA Uruguay, Diciembre 2022, no.71, p. 34-37. (Revista INIA; 71)Biblioteca(s): INIA Treinta y Tres. |
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115. | | LAMBE, N.R.; NAVAJAS, E.; BÜNGER, L.; FISHER, A.V.; ROEHE, R.; SIMM, G. Prediction of lamb carcass composition and meat quality using combinations of post-mortem measurements. Meat Science, 2009, Volume 81, Issue 4, Pages 711-719. doi: https://doi.org/10.1016/j.meatsci.2008.10.025 Article history: Received 27 August 2008; Received in revised form 28 October 2008; Accepted 31 October 2008.Biblioteca(s): INIA Las Brujas. |
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116. | | LAMBE, N.R.; NAVAJAS, E.; FISHER, A.V.; SIMM, G.; ROEHE, R.; BÜNGER, L. Prediction of lamb meat eating quality in two divergent breeds using various live animal and carcass measurements. Meat Science, 2009, Volume 83, Issue 3, Pages 366-375. doi: https://doi.org/10.1016/j.meatsci.2009.06.007 Article history: Received 13 January 2009; Received in revised form 25 May 2009; Accepted 2 June 2009.Biblioteca(s): INIA Las Brujas. |
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117. | | JARA, E.; PEÑAGARICANO, F.; ARMSTRONG, E.; CIAPPESONI, G.; IRIARTE, A.; NAVAJAS, E. Revealing the genetic basis of eyelid pigmentation in Hereford cattle. Journal of Animal Science, 2022, Volume 100, Issue 5. doi: https://doi.org/10.1093/jas/skac110 Article history: Received December 14, 2021; Accepted April 4, 2022; Advance access publication 7 April 2022.
Corresponding author: Eugenio Jara, email: eugeniojara19@gmail.com --Biblioteca(s): INIA Las Brujas. |
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118. | | DE BARBIERI, I.; BLUMETTO, O.; NAVAJAS, E.; LUZARDO, S.; MONTOSSI, F.; CIAPPESONI, G. Valorización de la producción ovina: animales, personas y ambiente. AMBIENTE. En: Cueto, M.I.; Maurino, J.; Giovannini, N.; Bruno Galarraga, M.M. (eds.). Actualización en Producción Ovina 2022: memorias del 10 Curso "Hacia sistemas más sustentables", San Carlos de Bariloche 14 al 15 de noviembre de 2022. p. 32-37. Se reconoce el aporte de los proyectos RUMIAR (CL38 financiado por INIA), Smarter (financiado por H2020, n°772787), y GrasstoGas (ERA-NET SusAn, ERA-NET FACCE
ERA-GAS y ERA-NET ICT-AGRI 2) para desarrollar el trabajo presentado.Biblioteca(s): INIA Las Brujas. |
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Registros recuperados : 165 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
29/03/2021 |
Actualizado : |
31/03/2021 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
Autor : |
RAVAGNOLO, O.; AGUILAR, I.; CROWLEY, J. J.; PRAVIA, M.I.; LEMA, O.M.; MACEDO, F.; SCOTT, S.; NAVAJAS, E. |
Afiliación : |
OLGA RAVAGNOLO GUMILA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; J.J. CROWLEY, Canadian Beef Breeds Council, Calgary, Alberta, Canada; Livestock Gentec, University of Alberta, Edmonton, Canada; MARIA ISABEL PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OSCAR MARIO LEMA QUEIJO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO LIBER MACEDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; S. SCOTT, Canadian Hereford Association, Calgary, Alberta, Canada; ELLY ANA NAVAJAS VALENTINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Accuracy of genomic predictions of residual feed intake in Hereford with Uruguayan and Canadian training populations. |
Complemento del título : |
Volume: Electronic Poster Session - Species - Bovine (beef) 1, p. 723. |
Fecha de publicación : |
2018 |
Fuente / Imprenta : |
In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 11., Aotea Centre Auckland, New Zealand: WCGALP, ICAR, 11-16 feb 2018. |
Páginas : |
6 p. |
Idioma : |
Inglés |
Contenido : |
SUMMARY.
Dataset from Canadian and Uruguayan training populations were joined to analyse improvement of predictability for RFI. Three training populations where defined, URY (only data from Uruguay, 731), CAN (only data from Canada, 1168) and TOTAL (joint dataset, 1899). Genealogical information from the two countries was merged based on the international identification and cross reference list, with the pedigree file resulting in 17289 animals.
The demands for livestock products are increasing, and beef production seems not to be an exception. This implies a challenge to beef production that has to increase productivity without increasing area or environmental footprint (a finite commodity), increasing costs (competing in disadvantage with chicken and pigs) or lowering product quality (its main advantage).
The objective of present study was to compare the accuracy of genomic predictions for RFI based on national and bi-national training populations. |
Palabras claves : |
Accuracy; Beef cattle; BEEF PRODUCTION; Feed efficiency; Genomic selection; Training population. |
Thesagro : |
ALIMENTACION ANIMAL; GANADO DE CARNE. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15398/1/accuracy-genomic-predictions-residual-feed-intake-hereford-uruguayan-and-canadian-training.pdf
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Marc : |
LEADER 01939nam a2200301 a 4500 001 1061876 005 2021-03-31 008 2018 bl uuuu u01u1 u #d 100 1 $aRAVAGNOLO, O. 245 $aAccuracy of genomic predictions of residual feed intake in Hereford with Uruguayan and Canadian training populations.$h[electronic resource] 260 $aIn: Proceedings of the World Congress on Genetics Applied to Livestock Production, 11., Aotea Centre Auckland, New Zealand: WCGALP, ICAR, 11-16 feb 2018.$c2018 300 $a6 p. 520 $aSUMMARY. Dataset from Canadian and Uruguayan training populations were joined to analyse improvement of predictability for RFI. Three training populations where defined, URY (only data from Uruguay, 731), CAN (only data from Canada, 1168) and TOTAL (joint dataset, 1899). Genealogical information from the two countries was merged based on the international identification and cross reference list, with the pedigree file resulting in 17289 animals. The demands for livestock products are increasing, and beef production seems not to be an exception. This implies a challenge to beef production that has to increase productivity without increasing area or environmental footprint (a finite commodity), increasing costs (competing in disadvantage with chicken and pigs) or lowering product quality (its main advantage). The objective of present study was to compare the accuracy of genomic predictions for RFI based on national and bi-national training populations. 650 $aALIMENTACION ANIMAL 650 $aGANADO DE CARNE 653 $aAccuracy 653 $aBeef cattle 653 $aBEEF PRODUCTION 653 $aFeed efficiency 653 $aGenomic selection 653 $aTraining population 700 1 $aAGUILAR, I. 700 1 $aCROWLEY, J. J. 700 1 $aPRAVIA, M.I. 700 1 $aLEMA, O.M. 700 1 $aMACEDO, F. 700 1 $aSCOTT, S. 700 1 $aNAVAJAS, E.
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