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| Registros recuperados : 47 | |
| 1. |  | PRAVIA, M.I.; RAVAGNOLO, O.; URIOSTE, J. Development of selection indexes for a beef cattle production system from available EPDs. Volume Genetic Improvement Programs: Breeding objectives, economics of selection schemes, and advances in selection theory (Posters), p. 406. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.406.| Biblioteca(s): INIA Las Brujas. |
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| 3. | | AGUILAR, I.; RAVAGNOLO, O.; PRAVIA, M.I. Evaluación genética poblacional raza Braford. Unidad Experimental La Magnolia, 3 abril, 2009. ln: INIA TACUAREMBÓ. Soluciones tecnológicas para la raza Braford: gira técnica. En el marco del CONGRESO MUNDIAL BRAFORD, 4., Punta del Este, Uruguay, 2009. Tacuarembó: INIA, 2009. p. 42-44.| Biblioteca(s): INIA Tacuarembó. |
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| 4. | | PERAZA, P.; PRAVIA, M.I.; NAVAJAS, E. Genome-wide association study of residual feed intake in Hereford cattle. In: AUPA, Proceedings del VII Congreso Uruguayo de Producción Animal. Sección Cambio Climático y Producción Sostenible (Climate Change Section), 14 y 15 diciembre 2021. Archivos Latinoamericanos de Producción Animal, 29(Supl.1), p.69-71. (Archivos Latinoamericanos de Producción Animal, Vol.29, Supl.1) Corresponding author: P. Peraza, Instituto Nacional de Investigación Agropecuaria (INIA), Las Brujas, Unidad de Biotecnología, Ruta 48 Km 10, Canelones, (Uruguay), mailto: pperaza@inia.org.uy| Biblioteca(s): INIA Las Brujas. |
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| 5. | | PRAVIA, M.I.; NAVAJAS, E.; AGUILAR, I.; RAVAGNOLO, O. Alternative models to predict residual feed intake in Hereford breed and effects on their breeding values accuracy. [48] Part 6 - Challenges - resource allocation and genetics of feed intake and efficiency. In: Proceedings of the World Congress on Genetics Applied to Livestock Production (WCGALP), 12., Rotterdam, the Netherlands, 3-8 July 2022. doi: https://doi.org/10.3920/978-90-8686-940-4_48 240-243. Article history: Published online: February 9, 2023 -- Corresponding author: María Isabel Pravia, email: mpravia@inia.org.uy| Biblioteca(s): INIA Las Brujas. |
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| 7. | | PRAVIA, M.I.; NAVAJAS, E.; AGUILAR, I.; RAVAGNOLO, O. Evaluation of feed efficiency traits in different Hereford populations and their effect on variance component estimation. Animal Production Science, 2022, Volume 62, Issue 17, pages 1652-1660. doi: https://doi.org/10.1071/AN21420 Article history: Submitted 24 August 2021; Accepted 10 June 2022; Published online 1 August 2022. -- Handling Editor: Sue Hatcher. --
Corresponding author: Pravia, M.I.; Instituto Nacional de Investigación Agropecuaria (INIA), Estación...| Biblioteca(s): INIA Las Brujas. |
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| 13. | | PRAVIA, M.I.; NAVAJAS, E.; AGUILAR, I.; RAVAGNOLO, O. Incorporación de información genómica en la estimación del mérito genético de consumo residual de alimento. In: AUPA, Proceedings del VII Congreso Uruguayo de Producción Animal. Sección Cambio Climático y Producción Sostenible (Climate Change Section), 14 y 15 diciembre 2021. Archivos Latinoamericanos de Producción Animal, 29(Supl.1), p.74-76. (Archivos Latinoamericanos de Producción Animal, Vol.29, Supl.1) Corresponding author: M.I. Pravia, Instituto Nacional de Investigación Agropecuaria (INIA), Las Brujas, Rincón del Colorado, Canelones (Uruguay), mailto: mpravia@inia.org.uy| Biblioteca(s): INIA Las Brujas. |
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| 17. | | MONTOSSI, F.; GUTIERREZ, D.; PRAVIA, M.I.; PORCILE, M.; PORCILE, V.; JAURENA, M.; AYALA, W. Caracterización del componente pasturas y forrajes en predios del GIPROCAR II: disponibilidad, crecimiento, composición botánica y valor nutritivo. In: MONTOSSI, F. (Ed.). Invernada de precisión: Pasturas, Calidad de Carne, Genética, Gestión Empresarial e Impacto Ambiental (GIPROCAR II) Montevideo (UY): INIA, 2013. p. 69-107 (Serie Técnica; 211)| Biblioteca(s): INIA Treinta y Tres. |
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| 19. | | PRAVIA, M.I.; NAVAJAS, E.; MACEDO, F.; CLARIGET, J.M.; LUZARDO, S. Association between feed efficiency and carcass and meat quality traits in Hereford steers. Volume Electronic Poster Session - Biology - Feed Intake and Efficiency 1, p. 604. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 11., Aotea Centre Auckland, New Zealand: WCGALP, ICAR, 11-16 feb 2018. Acknowledgements: This work was supported by the Agencia Nacional de Investigación e Innovación (ANII) (grant RTS_1_2012_1_3489), Instituto Nacional de Investigación Agropecuaria (INIA), Sociedad de Criadores de Hereford (SCH), Instituto...| Biblioteca(s): INIA Las Brujas. |
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| Registros recuperados : 47 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
27/07/2022 |
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Actualizado : |
27/02/2023 |
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Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
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Autor : |
PRAVIA, M.I.; NAVAJAS, E.; AGUILAR, I.; RAVAGNOLO, O. |
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Afiliación : |
MARIA ISABEL PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ELLY ANA NAVAJAS VALENTINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OLGA RAVAGNOLO GUMILA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Alternative models to predict residual feed intake in Hereford breed and effects on their breeding values accuracy. [48] |
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Complemento del título : |
Part 6 - Challenges - resource allocation and genetics of feed intake and efficiency. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
In: Proceedings of the World Congress on Genetics Applied to Livestock Production (WCGALP), 12., Rotterdam, the Netherlands, 3-8 July 2022. doi: https://doi.org/10.3920/978-90-8686-940-4_48 |
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Páginas : |
240-243. |
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DOI : |
10.3920/978-90-8686-940-4_48 |
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Idioma : |
Inglés |
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Notas : |
Article history: Published online: February 9, 2023 -- Corresponding author: María Isabel Pravia, email: mpravia@inia.org.uy |
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Contenido : |
ABSTRACT.- Residual feed intake (RFI) is a relevant trait, but expensive to measure so few candidates are phenotyped and have accurate GEBVs. Genetic evaluation corresponds to a single trait evaluation, where RFI are the residual from a lineal regression on feed intake on performance traits during feed-test. This study evaluates two approaches to predict a GEBV for RFI. First combing feed performance traits in a multitrait model to calculate a single measure of RFI using selection index, and 2nd the inclusion of weaning weight (WW) as an indicator trait combined with previous model. The GEBVs for the alternatives proposed were equivalent to conventional RFI. Using WW as a predictor trait on reference animals and candidates could be an inexpensive way to increase the accuracy of GEBVs. It allows to remove possible bias due to preselection of animals that participate on feed test and to extend prediction to more selection candidates. |
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Palabras claves : |
GENETIC EVALUATION; Residual feed intake (RFI). |
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Thesagro : |
HEREFORD. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16993/1/978-90-8686-940-4-48.pdf
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|
Marc : |
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100 1 $aPRAVIA, M.I.
245 $aAlternative models to predict residual feed intake in Hereford breed and effects on their breeding values accuracy. [48]$h[electronic resource]
260 $aIn: Proceedings of the World Congress on Genetics Applied to Livestock Production (WCGALP), 12., Rotterdam, the Netherlands, 3-8 July 2022. doi: https://doi.org/10.3920/978-90-8686-940-4_48$c8686
300 $a240-243.
500 $aArticle history: Published online: February 9, 2023 -- Corresponding author: María Isabel Pravia, email: mpravia@inia.org.uy
520 $aABSTRACT.- Residual feed intake (RFI) is a relevant trait, but expensive to measure so few candidates are phenotyped and have accurate GEBVs. Genetic evaluation corresponds to a single trait evaluation, where RFI are the residual from a lineal regression on feed intake on performance traits during feed-test. This study evaluates two approaches to predict a GEBV for RFI. First combing feed performance traits in a multitrait model to calculate a single measure of RFI using selection index, and 2nd the inclusion of weaning weight (WW) as an indicator trait combined with previous model. The GEBVs for the alternatives proposed were equivalent to conventional RFI. Using WW as a predictor trait on reference animals and candidates could be an inexpensive way to increase the accuracy of GEBVs. It allows to remove possible bias due to preselection of animals that participate on feed test and to extend prediction to more selection candidates.
650 $aHEREFORD
653 $aGENETIC EVALUATION
653 $aResidual feed intake (RFI)
700 1 $aNAVAJAS, E.
700 1 $aAGUILAR, I.
700 1 $aRAVAGNOLO, O.
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