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Registros recuperados : 81 | |
21. | | BERMANN, M.; MISZTAL, I.; LOURENCO, D.; AGUILAR, I.; LEGARRA, A. Definition of reliabilities for models with metafounders. [289] Part 17 - Challenges - improving genomic prediction. 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_289 1217-1220. Article history: Published online: February 9, 2023. -- Corresponding author: A. Legarra, email: andres.legarra@inrae.fr -- Acknowledgment: This work received financing from European Unions' Horizon 2020 Research & Innovation Programme,...Biblioteca(s): INIA Las Brujas. |
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24. | | TSURUTA, S.; MISZTAL, I.; AGUILAR, I.; LAWLOR, T. J. Genome wide association study on cow mortality in three US regions. Volume Species Breeding: Dairy cattle (Posters), 805. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.805.Biblioteca(s): INIA Las Brujas. |
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25. | | FORNI, S.; AGUILAR, I.; MISZTAL, I.; DEEB, N. Genomic relationships and biases in the evaluation of sow litter size. Volume Genetic improvement programmes: Selection using molecular information - Poster Sessions, 0506. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 9., Leipzig, Germany, August 1-6, 2010. p. 0506.Biblioteca(s): INIA Las Brujas. |
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28. | | DE MATTOS, D.; BERTAND, J.K.; MISZTAL, I. Investigation of genotype × environment interactions for weaning weight for Herefords in three countries. Journal of Animal Science, August, v. 78, no. 8, p. 2121-2126, 2000. Article history: Received September 16, 1999 // Accepted April 3, 2000.Biblioteca(s): INIA Tacuarembó. |
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29. | | TSURUTA, S.; MISZTAL, I.; AGUILAR, I.; LAWLOR, T.J. Multiple-trait genomic evaluation of linear type traits using genomic and phenotypic data in US Holsteins. Journal of Dairy Science, 2011, v.94, no.8, p.4198-4204. OPEN ACCESS. Article history: Received February 9, 2011. / Accepted April 8, 2011.Biblioteca(s): INIA Las Brujas. |
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30. | | AGUILAR, I.; MISZTAL, I.; TSURUTA, S.; LEGARRA, A.; WANG, H. PREGSF90 - POSTGSF90: Computational tools for the implementation of single-step genomic selection and genome-wide association with ungenotyped individuals in BLUPF90 programs. Volume Methods and Tools: Statistical and genomic tools for mapping QTL and genes (Posters), 680. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.680.Biblioteca(s): INIA Las Brujas. |
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31. | | BERMANN, M.; AGUILAR, I.; LOURENCO , D.; MISZTAL, I.; LEGARRA, A. Reliabilities of estimated breeding values in models with metafounders. Research article. Genetics, Selection, Evolution : GSE, 2023, volume55, issue 1, article 6. OPEN ACCESS. doi: https://doi.org/10.1186/s12711-023-00778-2 Article history: Received 29 June 2022; Accepted 04 January 2023; Published 23 January 2023. -- Corresponding author: Matias Bermann, Department of Animal and Dairy Science, University of Georgia, Athens, GA, USA, email: mbermann@uga.edu...Biblioteca(s): INIA Las Brujas. |
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33. | | MASUDA, Y.; AGUILAR, I.; TSURUTA, S.; MISZTAL, I. Technical note: Acceleration of sparse operations for average-information REML analyses with supernodal methods and sparse-storage refinements. Journal of Animal Science, 2015, v. 93, p. 4670 - 4674. Published October 9, 2015 Article history: Received June 8, 2015.; Accepted August 7, 2015.
1. We acknowledge the work by François Guillaume in programming a hash function. We greatly appreciate the work of the two anonymous reviewers.
2. The AIREMLF90 program...Biblioteca(s): INIA Las Brujas. |
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34. | | DE MATTOS, D.; MISZTAL, I.; BERTRAND, J. K. Variance and covariance components for weaning weight for Herefords in three countries. Journal of Animal Science, January 2000, volume 78, Issue 1, pages 33-37. OPEN ACCESS. Article history: Received January 19, 1999. // Accepted August 8, 1999.
Research was funded by the American Hereford Assoc., Kansas City, MO; Canadian Hereford Assoc., Calgary, Alberta, Canada; and Instituto Nacional de Investigacion...Biblioteca(s): INIA Las Brujas. |
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35. | | ZHANG, X.; LOURENCO, D.; MISZTAL, I.; AGUILAR, I.; LEGARRA, A. Weighted single-step genomic BLUP: an iterative approach for accurate calculation of GEBV and GWAS. Volume Methods and Tools: Statistical and genomic tools for mapping QTL and genes (Posters), 681. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.681.Biblioteca(s): INIA Las Brujas. |
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36. | | ZHANG, X.; LOURENCO, D.; AGUILAR, I.; LEGARRA, A.; MISZTAL, I. Weighting strategies for single-step genomic BLUP: An iterative approach for accurate calculation of GEBV and GWAS. Frontiers in Genetics, 19 August 2016, Volume 7, Issue AUG, Article number 151. OPEN ACCESS Article history: Received 15 May 2016 // Accepted 04 August 2016 // Published 19 August 2016.
Specialty section:
This article was submitted to Statistical Genetics and Methodology, a section of the journal Frontiers in Genetics.Biblioteca(s): INIA Las Brujas. |
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38. | | LOURENCO, D; MISZTAL, I.; TSURUTA, S.; AGUILAR, I.; LAWLOR, T. J.; WELLER, J. I. Are evaluations on young genotyped dairy bulls benefiting from the past generations? [conference paper]. Volume Species Breeding: Dairy cattle, 297. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.297.Biblioteca(s): INIA Las Brujas. |
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40. | | GARCÍA, A.; AGUILAR, I.; LEGARRA, A.; MILLER, S.; TSURUTA, S.; MISZTAL, I.; LOURENCO, D. Accuracy of indirect predictions for large datasets based on prediction error covariance of SNP effects from single-step GBLUP. [abstract 22]. Issue Section: Animal Breeding and Genetics. Journal of Animal Science, 2020, Volume 98, Issue Supplement 4, Pages 6-7. doi: https://doi.org/10.1093/jas/skaa278.012 Article history: 30 November 2020.
ASAS Annual 2020 Meeting Abstracts.Biblioteca(s): INIA Las Brujas. |
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Registros recuperados : 81 | |
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
|
Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
06/10/2014 |
Actualizado : |
10/02/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
A - 2 |
Autor : |
SIMEONE, R.; MISZTAL, I.; AGUILAR, I.; LEGARRA, A. |
Afiliación : |
IGNACIO AGUILAR GARCIA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
Título : |
Evaluation of the utility of diagonal elements of the genomic relationship matrix as a diagnostic tool to detect mislabelled genotyped animals in a broiler chicken population. |
Fecha de publicación : |
2011 |
Fuente / Imprenta : |
Journal of Animal Breeding and Genetics, 2011, v.128, no.5, p.386-393. |
ISSN : |
0931-2668 |
DOI : |
http://dx.doi.org/10.1111/j.1439-0388.2011.00926.x |
Idioma : |
Inglés |
Contenido : |
ABSTRACT,
This study explored distributions of diagonal elements of genomic relationship matrix (G), evaluated the utility of G as a diagnostic tool to detect mislabelled animals in a genomic dataset and evaluated the effect of mislabelled animals on the accuracy of genomic evaluation. Populations of 10000 animals were simulated with 60000 SNP varying in allele frequency at each locus between 0.02 and 0.98. Diagonal elements of G were distributed with a single peak (mean=1.00±0.03) and ranged from 0.84 through 1.36. Mixed populations were also simulated: 7000 animals with frequencies of second alleles ranging from 0.02 through 0.98 were combined with 1750 or 7000 animals with frequencies of second alleles ranging from 0.0 through 1.0. The resulting distributions of diagonal elements of G were bimodal. Body weight at 6weeks was provided by Cobb-Vantress for broiler chickens, of which 3285 were genotyped for 57636 SNP. Analysis used a combined genomic and pedigree relationship matrix; G was scaled using current allele frequencies. The distribution of diagonal elements was multimodal and ranged from 0.54 to 3.23. Animals with diagonal elements >1.5 were identified as coming from another chicken line or as having low call rates. Removal of mislabelled animals increased accuracy by 0.01. For the studied type of population, diagonal elements of G may be a useful tool to help identify mislabelled animals or secondary populations.
© 2011 Blackwell Verlag GmbH. |
Thesagro : |
GENOTIPOS; MEJORAMIENTO GENÉTICO ANIMAL; MODELOS DE SIMULACIÓN; POLLO; SELECCIÓN DE GENOTIPOS. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
Marc : |
LEADER 02325naa a2200241 a 4500 001 1050930 005 2020-02-10 008 2011 bl uuuu u00u1 u #d 022 $a0931-2668 024 7 $ahttp://dx.doi.org/10.1111/j.1439-0388.2011.00926.x$2DOI 100 1 $aSIMEONE, R. 245 $aEvaluation of the utility of diagonal elements of the genomic relationship matrix as a diagnostic tool to detect mislabelled genotyped animals in a broiler chicken population.$h[electronic resource] 260 $c2011 520 $aABSTRACT, This study explored distributions of diagonal elements of genomic relationship matrix (G), evaluated the utility of G as a diagnostic tool to detect mislabelled animals in a genomic dataset and evaluated the effect of mislabelled animals on the accuracy of genomic evaluation. Populations of 10000 animals were simulated with 60000 SNP varying in allele frequency at each locus between 0.02 and 0.98. Diagonal elements of G were distributed with a single peak (mean=1.00±0.03) and ranged from 0.84 through 1.36. Mixed populations were also simulated: 7000 animals with frequencies of second alleles ranging from 0.02 through 0.98 were combined with 1750 or 7000 animals with frequencies of second alleles ranging from 0.0 through 1.0. The resulting distributions of diagonal elements of G were bimodal. Body weight at 6weeks was provided by Cobb-Vantress for broiler chickens, of which 3285 were genotyped for 57636 SNP. Analysis used a combined genomic and pedigree relationship matrix; G was scaled using current allele frequencies. The distribution of diagonal elements was multimodal and ranged from 0.54 to 3.23. Animals with diagonal elements >1.5 were identified as coming from another chicken line or as having low call rates. Removal of mislabelled animals increased accuracy by 0.01. For the studied type of population, diagonal elements of G may be a useful tool to help identify mislabelled animals or secondary populations. © 2011 Blackwell Verlag GmbH. 650 $aGENOTIPOS 650 $aMEJORAMIENTO GENÉTICO ANIMAL 650 $aMODELOS DE SIMULACIÓN 650 $aPOLLO 650 $aSELECCIÓN DE GENOTIPOS 700 1 $aMISZTAL, I. 700 1 $aAGUILAR, I. 700 1 $aLEGARRA, A. 773 $tJournal of Animal Breeding and Genetics, 2011$gv.128, no.5, p.386-393.
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