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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.uyBiblioteca(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.uyBiblioteca(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.uyBiblioteca(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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| 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 : |
02/05/2023 |
Actualizado : |
02/05/2023 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
PRAVIA, M.I.; NAVAJAS, E.; AGUILAR, I.; RAVAGNOLO, O. |
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. |
Título : |
Prediction ability of an alternative multi-trait genomic evaluation for residual feed intake. |
Fecha de publicación : |
2023 |
Fuente / Imprenta : |
Journal of Animal Breeding and Genetics, 2023. https://doi.org/10.1111/jbg.12775 [Article in Press] |
ISSN : |
0931-2668 |
DOI : |
10.1111/jbg.12775 |
Idioma : |
Inglés |
Notas : |
Article history: Received 23 February 2023; Revised 4 April 2023; Accepted 6 April 2023; First published 25 April 2023. -- Corresponding author: Pravia, M.I.; Instituto Nacional de Investigación Agropecuaria, INIA Las Brujas, Canelones, Uruguay; email:mpravia@inia.org.uy -- |
Contenido : |
Selection for feed efficiency is the goal for many genetic breeding programs in beef cattle. Residual feed intake has been included in genetic evaluations to reduce feed intake without compromising performance traits as liveweight, body gain or carcass traits. However, measuring feed intake is expensive, and only a small percentage of selection candidates are phenotyped. Genomic selection has become a very important tool to achieve effective genetic progress in these traits. Another effective strategy has been the implementation of multi-trait prediction using easily recordable predictor traits on both reference animals and candidates without phenotypes, and this could be another inexpensive way to increase accuracy. The objective of this work was to analyse and compare the prediction ability of two alternative different approaches to predict GEBVs for RFI. The population of inference was Hereford bulls in Uruguay that were genotyped candidates for to selection. © 2023 John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd. |
Palabras claves : |
Genomic prediction; Multi-trait; Validation strategies. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
Marc : |
LEADER 02029naa a2200229 a 4500 001 1064066 005 2023-05-02 008 2023 bl uuuu u00u1 u #d 022 $a0931-2668 024 7 $a10.1111/jbg.12775$2DOI 100 1 $aPRAVIA, M.I. 245 $aPrediction ability of an alternative multi-trait genomic evaluation for residual feed intake.$h[electronic resource] 260 $c2023 500 $aArticle history: Received 23 February 2023; Revised 4 April 2023; Accepted 6 April 2023; First published 25 April 2023. -- Corresponding author: Pravia, M.I.; Instituto Nacional de Investigación Agropecuaria, INIA Las Brujas, Canelones, Uruguay; email:mpravia@inia.org.uy -- 520 $aSelection for feed efficiency is the goal for many genetic breeding programs in beef cattle. Residual feed intake has been included in genetic evaluations to reduce feed intake without compromising performance traits as liveweight, body gain or carcass traits. However, measuring feed intake is expensive, and only a small percentage of selection candidates are phenotyped. Genomic selection has become a very important tool to achieve effective genetic progress in these traits. Another effective strategy has been the implementation of multi-trait prediction using easily recordable predictor traits on both reference animals and candidates without phenotypes, and this could be another inexpensive way to increase accuracy. The objective of this work was to analyse and compare the prediction ability of two alternative different approaches to predict GEBVs for RFI. The population of inference was Hereford bulls in Uruguay that were genotyped candidates for to selection. © 2023 John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd. 653 $aGenomic prediction 653 $aMulti-trait 653 $aValidation strategies 700 1 $aNAVAJAS, E. 700 1 $aAGUILAR, I. 700 1 $aRAVAGNOLO, O. 773 $tJournal of Animal Breeding and Genetics, 2023. https://doi.org/10.1111/jbg.12775 [Article in Press]
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