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| Registros recuperados : 9 | |
| 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.; 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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| 9. | | 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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| Registros recuperados : 9 | |
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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Las Brujas. |
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Fecha actual : |
21/02/2014 |
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Actualizado : |
15/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 2 |
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Autor : |
SIMEONE, R.; MISZTAL, I.; AGUILAR, I.; VITEZICA, Z.G. |
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Afiliación : |
IGNACIO AGUILAR GARCIA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Evaluation of a multi-line broiler chicken population using a single-step genomic evaluation procedure. |
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Fecha de publicación : |
2012 |
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Fuente / Imprenta : |
Journal of Animal Breeding and Genetics, 2012, v.129, no.1, p.3-10. |
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ISSN : |
0931-2668 |
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DOI : |
10.1111/j.1439-0388.2011.00939.x |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 26 July 2010 / Accepted: 4 June 2011. |
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Contenido : |
ABSTRACT.
Effects on prediction of analysing a multi-line chicken population as one line were evaluated. Body weight records were provided by Cobb-Vantress for two lines of broiler chickens. Phenotypic records for 183695 and 164149 broilers and genotypic records for 3195 and 3001 broilers were available for each line. Lines were combined to create a multi-line population and analysed using a single-step procedure combining the additive relationship matrix and the genomic relationship matrix (G). G was scaled using allele frequencies from each line, the multi-line population, or 0.5. When allele frequencies were calculated from each line, distributions of diagonal elements were bimodal. When allele frequencies were calculated from the multi-line population, the distribution of diagonal elements had one peak. When allele frequency 0.5 was used, the distribution was bimodal. Genomic estimated breeding values (GEBVs) were predicted using each allele frequency. GEBVs differed with allele frequency but had ≥0.99 correlations with GEBVs predicted with correct allele frequencies. Means of each line and differences in mean between the lines differed based on allele frequencies. Assumed allele frequencies have little impact on ranking within line but larger impact on ranking across lines. G may be used to evaluate multiple populations simultaneously but must be adjusted to obtain properly scaled estimates when population structure is unknown.
© 2011 Blackwell Verlag GmbH. |
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Thesagro : |
MEJORAMIENTO GENETICO ANIMAL; POLLO. |
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Asunto categoría : |
--
L10 Genética y mejoramiento animal |
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Marc : |
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024 7 $a10.1111/j.1439-0388.2011.00939.x$2DOI
100 1 $aSIMEONE, R.
245 $aEvaluation of a multi-line broiler chicken population using a single-step genomic evaluation procedure.
260 $c2012
500 $aArticle history: Received: 26 July 2010 / Accepted: 4 June 2011.
520 $aABSTRACT. Effects on prediction of analysing a multi-line chicken population as one line were evaluated. Body weight records were provided by Cobb-Vantress for two lines of broiler chickens. Phenotypic records for 183695 and 164149 broilers and genotypic records for 3195 and 3001 broilers were available for each line. Lines were combined to create a multi-line population and analysed using a single-step procedure combining the additive relationship matrix and the genomic relationship matrix (G). G was scaled using allele frequencies from each line, the multi-line population, or 0.5. When allele frequencies were calculated from each line, distributions of diagonal elements were bimodal. When allele frequencies were calculated from the multi-line population, the distribution of diagonal elements had one peak. When allele frequency 0.5 was used, the distribution was bimodal. Genomic estimated breeding values (GEBVs) were predicted using each allele frequency. GEBVs differed with allele frequency but had ≥0.99 correlations with GEBVs predicted with correct allele frequencies. Means of each line and differences in mean between the lines differed based on allele frequencies. Assumed allele frequencies have little impact on ranking within line but larger impact on ranking across lines. G may be used to evaluate multiple populations simultaneously but must be adjusted to obtain properly scaled estimates when population structure is unknown. © 2011 Blackwell Verlag GmbH.
650 $aMEJORAMIENTO GENETICO ANIMAL
650 $aPOLLO
700 1 $aMISZTAL, I.
700 1 $aAGUILAR, I.
700 1 $aVITEZICA, Z.G.
773 $tJournal of Animal Breeding and Genetics, 2012$gv.129, no.1, p.3-10.
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