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| Registros recuperados : 10 | |
| 5. |  | LEGARRA, A.; CHRISTENSEN, O. F.; VITEZICA, Z. G.; AGUILAR, I.; MISZTAL, I. Across-breeds ancestral relationships and metafounders for genomic evaluation. Volume Genetic Improvement Programs: Selection using molecular information, 075. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.075. Acknowledgements: This project has been financed by X-Gen and GenSSeq actions from SelGen metaprogram (INRA). We are grateful to the genotoul bioinformatics platform Toulouse Midi-Pyrenees for providing computing resources.| Biblioteca(s): INIA Las Brujas. |
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| 6. | | ANTONIOS, S.; RODRÍGUEZ-RAMILO, S.T.; AGUILAR, I.; ASTRUC, J.M.; LEGARRA, A.; VITEZICA, Z. G. Genomic and pedigree estimation of inbreeding depression for semen traits in the Basco-Béarnaise dairy sheep breed. Journal of Dairy Science, 2021, volume 104, number 3, pages 3221-3230. doi: https://doi.org/10.3168/jds.2020-18761 Article history: Receibed: April 21, 2020 / Accepted: October 5, 2020 /First Publication: 23 Decembrer 2020.
Corresponding author: zulma.viterica@inrae.fr| Biblioteca(s): INIA Treinta y Tres. |
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| 8. | | FORNERIS, N. S.; LEGARRA, A.; VITEZICA, Z. G.; TSURUTA, S.; AGUILAR, I.; MISZTAL, I.; CANTET, R. J. C. Quality control of genotypes using heritability estimates of gene content at the marker. Genetics, 2015, v. 199, p. 675-681. OPEN ACCESS. Manuscript received September 26, 2014; accepted for publication December 18, 2014; published Early Online January 6, 2015.| Biblioteca(s): INIA Las Brujas. |
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| 9. | | 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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| 10. | | WANG, H.; MISZTAL, I.; AGUILAR, I.; LEGARRA, A.; FERNANDO, R.L.; VITEZICA, Z.; OKIMOTO, R.; WING, T.; HAWKEN, R.; MUIR, W.M. Genome-wide association mapping including phenotypes from relatives without genotypes in a single-step (ssGWAS) for 6-week body weight in broiler chickens. Frontiers in Genetics, 2014, v.5, p.1-10. OPEN ACCESS. Article history: Received 03 March 2014 // Paper pending published 04 April 2014 // Accepted 25 April 2014 // Published online: 20 May 2014.| Biblioteca(s): INIA Las Brujas. |
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| Registros recuperados : 10 | |
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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 : |
VITEZICA, Z. G; AGUILAR, I.; LEGARRA, A. |
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Afiliación : |
ZULMA G. VITEZICA, INRA-ENVT-ENSAT TANDEM, Castanet Tolosan, France; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDRÉS LEGARRA, INRA, Castanet Tolosan, France. |
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Título : |
One-step vs. multi-step methods for genomic prediction in presence of selection. |
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Complemento del título : |
Volume Genetic improvement programmes: Selection using molecular information - Lecture Sessions, 0131. |
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Fecha de publicación : |
2010 |
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Fuente / Imprenta : |
In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 9., Leipzig, Germany, August 1-6, 2010. p. 0131. |
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Idioma : |
Inglés |
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Notas : |
This work has been partly financed by ANR project AMASGEN. Project partly supported by Toulouse MidiPyrénées bioinformatic platform. |
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Contenido : |
ABSTRACT.
With the increasing availability of marker information in livestock, genomic selection methods can allow breeders to preselect animals on genotypes early in life. The combination of pedigree, phenotypic and genotypic data will increase genetic progress by decreasing the generational interval and increasing the accuracy of genetic merit estimates. |
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Palabras claves : |
Dairy cattle; Genomic selection methods; Pedigree. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15455/1/Vitezica-et-al.-2010.-WCGALP.pdf
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Marc : |
LEADER 01105nam a2200181 a 4500
001 1061931
005 2021-03-31
008 2010 bl uuuu u01u1 u #d
100 1 $aVITEZICA, Z. G
245 $aOne-step vs. multi-step methods for genomic prediction in presence of selection.$h[electronic resource]
260 $aIn: Proceedings of the World Congress on Genetics Applied to Livestock Production, 9., Leipzig, Germany, August 1-6, 2010. p. 0131.$c0131
500 $aThis work has been partly financed by ANR project AMASGEN. Project partly supported by Toulouse MidiPyrénées bioinformatic platform.
520 $aABSTRACT. With the increasing availability of marker information in livestock, genomic selection methods can allow breeders to preselect animals on genotypes early in life. The combination of pedigree, phenotypic and genotypic data will increase genetic progress by decreasing the generational interval and increasing the accuracy of genetic merit estimates.
653 $aDairy cattle
653 $aGenomic selection methods
653 $aPedigree
700 1 $aAGUILAR, I.
700 1 $aLEGARRA, A.
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