|
|
Registro completo
|
Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
21/02/2014 |
Actualizado : |
18/12/2018 |
Tipo de producción científica : |
Artículos Indexados |
Autor : |
LOURENÇO, D. A. L.; MISZTAL, I.; TSURUTA, S.; FRAGOMENI, B.; AGUILAR, I.; MASUDA, Y.; MOSER, D. |
Afiliación : |
IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Direct and indirect genomic evaluations in beef cattle. |
Fecha de publicación : |
2015 |
Fuente / Imprenta : |
Interbull Bulletin, 2015, v. 49, p.80 - 84. |
Idioma : |
Inglés |
Contenido : |
ABSTRACT.
We tested two modifications into single-step genomic BLUP (ssGBLUP) that allow it to work with a large amount of genotyped animals. The first method is based on genomic recursions (APY) to construct the inverse of the genomic relationship matrix without directly inverting it; all available genotyped animals are included in ssGBLUP with APY, but they are split into base and non-base, and the method returns direct predictions. The second method is an interim genomic evaluation (IP) for young genotyped animals; only a reference set of animals are used in ssGBLUP with IP, and the method returns indirect predictions for young genotyped animals. A dataset from American Angus with records for growth traits was used. Over 8 million animals were in the pedigree, of which 51,883 were genotyped. The ssGBLUP with APY was as accurate as regular ssGBLUP when the number of genotyped base animals was at least 10,000; this method was also faster and required less memory. The ssGBLUP with IP mimicking the previous official evaluation returned the same accuracy of GEBV for young animals as the regular ssGBLUP. While the first method enables complete genomic evaluations for huge genotyped populations, the second allows for quick genomic predictions on young animals without including their information into a new run of evaluation. |
Palabras claves : |
BIG GENOTYPED POPULATION; GENOMIC RECURSIONS; INTERIM GEBV; SINGLE-STEP GENOMIC BLUP. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12202/1/1381-2377-1-PB.pdf
|
Marc : |
LEADER 02005naa a2200241 a 4500 001 1012456 005 2018-12-18 008 2015 bl uuuu u00u1 u #d 100 1 $aLOURENÇO, D. A. L. 245 $aDirect and indirect genomic evaluations in beef cattle.$h[electronic resource] 260 $c2015 520 $aABSTRACT. We tested two modifications into single-step genomic BLUP (ssGBLUP) that allow it to work with a large amount of genotyped animals. The first method is based on genomic recursions (APY) to construct the inverse of the genomic relationship matrix without directly inverting it; all available genotyped animals are included in ssGBLUP with APY, but they are split into base and non-base, and the method returns direct predictions. The second method is an interim genomic evaluation (IP) for young genotyped animals; only a reference set of animals are used in ssGBLUP with IP, and the method returns indirect predictions for young genotyped animals. A dataset from American Angus with records for growth traits was used. Over 8 million animals were in the pedigree, of which 51,883 were genotyped. The ssGBLUP with APY was as accurate as regular ssGBLUP when the number of genotyped base animals was at least 10,000; this method was also faster and required less memory. The ssGBLUP with IP mimicking the previous official evaluation returned the same accuracy of GEBV for young animals as the regular ssGBLUP. While the first method enables complete genomic evaluations for huge genotyped populations, the second allows for quick genomic predictions on young animals without including their information into a new run of evaluation. 653 $aBIG GENOTYPED POPULATION 653 $aGENOMIC RECURSIONS 653 $aINTERIM GEBV 653 $aSINGLE-STEP GENOMIC BLUP 700 1 $aMISZTAL, I. 700 1 $aTSURUTA, S. 700 1 $aFRAGOMENI, B. 700 1 $aAGUILAR, I. 700 1 $aMASUDA, Y. 700 1 $aMOSER, D. 773 $tInterbull Bulletin, 2015$gv. 49, p.80 - 84.
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA Las Brujas (LB) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
Registros recuperados : 81 | |
42. | | 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.Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
| |
43. | | LOURENÇO, D. A. L.; MISZTAL, I.; TSURUTA, S.; FRAGOMENI, B.; AGUILAR, I.; MASUDA, Y.; MOSER, D. Direct and indirect genomic evaluations in beef cattle. Interbull Bulletin, 2015, v. 49, p.80 - 84.Tipo: Artículos Indexados |
Biblioteca(s): INIA Las Brujas. |
| |
44. | | AGUILAR, I.; TSURUTA, S.; MASUDA, Y.; LOURENCO, D.A.L.; LEGARRA, A.; MISZTAL, I. BLUPF90 suite of programs for animal breeding with focus on genomics. Volume Methods and Tools - Software, p. 751. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 11., Aotea Centre Auckland, New Zealand: WCGALP, ICAR, 11-16 feb 2018. 6 p.Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
| |
45. | | GARCÍA, A.; AGUILAR, I.; LEGARRA, A.; TSURUTA, S.; MISZTAL, I.; LOURENCO, D. Correction: Theoretical accuracy for indirect predictions based on SNP effects from single-step GBLUP (Genetics, selection, evolution : GSE (2022) 54:1 (66)). Genetics, Selection, Evolution : GSE, 2023, Volume 55, Issue 1, Pages 26. OPEN ACCESS. https://doi.org/10.1186/s12711-023-00799-x Article history: Published online 17 April 2023. -- Document: Erratum - Gold Open Access. -- The original article can be found online at https://doi.org/10.1186/s12711-022-00752-4Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
| |
46. | | CHEN, C.Y.; MISZTAL, I.; AGUILAR, I.; LEGARRA, A.; MUIR, W.M. Effect of different genomic relationship matrices on accuracy and scale. Journal of Animal Science, 2011, v.89, no.9, p.2673-2679. Article history: Received September 29, 2010. / Accepted March 21, 2011.Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : A - 1 |
Biblioteca(s): INIA Las Brujas. |
| |
47. | | AGUILAR, I.; LEGARRA, A.; CARDOSO, F.; MASUDA, Y.; LOURENCO, D.; MISZTAL, I. Frequentist p-values for large-scale-single step genome-wide association, with an application to birth weight in American Angus cattle. (Short Communication) Genetics Selection Evolution, 20 June 2019, v. 51, Issue 1, Article number 28. OPEN ACCESS. Article history: Received: 3 January 2019 // Accepted: 27 May 2019 // Published Online: 20 June 2019.
Funding text: This study was partially funded by the American Angus Association (St. Joseph, MO) and by Agriculture and Food Research...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
| |
50. | | MISZTAL, I.; AGUILAR, I.; LOURENCO, D.; MA, L.; STEIBEL, J.P. Emerging issues in genomic selection. Animal Genetics and Genomics. Journal of Animal Science, June 2021, Volume 99, Issue 61, skab092. OPEN ACCESS. Doi: https://doi.org/10.1093/jas/skab092 Article history: Received 23 January 2021; Accepted 26 March 2021; Advance Access publication March 27, 2021.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
| |
51. | | MISZTAL, I.; TSURUTA, S.; AGUILAR, I.; LEGARRA, A.; VAN RADEN, P.M.; LAWLOR, T.J. Methods to approximate reliabilities in single-step genomic evaluation. Journal of Dairy Science, 2013, v.96, no.1, p.647-654. OPEN ACCESS. Article history: Received April 24, 2012. / Accepted September 18, 2012.Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : A - 1 |
Biblioteca(s): INIA Las Brujas. |
| |
52. | | AGUILAR, I.; MISZTAL, I.; JOHNSON, D.L.; LEGARRA, A.; TSURUTA, S.; LAWLOR, T.J. Hot topic: A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score. Journal of Dairy Science, 2010, v. 93, no. 2, p. 743-752. OPEN ACCESS Article history: Received September 14, 2009 / Accepted November 10, 2009 / Published in issue: February 2010.Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : A - 1 |
Biblioteca(s): INIA Las Brujas. |
| |
53. | | MISZTAL, I.; LOURENCO, D.; TSURUTA, S.; AGUILAR, I.; MASUDA, Y.; BERMANN, M.; CESARANI, A.; LEGARRA, A. How ssGBLUP became suitable for national dairy cattle evaluations. [668]. Part 37 - Bovine dairy - genetic evaluation methods. 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_668 2757-2760. Article history: Published online: February 9, 2023 -- Corresponding author: I. Misztal, email: ignacy@uga.eduTipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
| |
54. | | TSURUTA, S.; AGUILAR, I.; MISZTAL, I.; LEGARRA, A.; LAWLOR, T. J. Multiple trait genetic evaluation of linear type traits using genomic and phenotypic data in US Holsteins. Volume Genetic improvement programmes: Selection using molecular information - Poster Sessions, 0489. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 9., Leipzig, Germany, August 1-6, 2010. p. 0489.Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
| |
56. | | LOURENCO, D.; TSURUTA, S.; AGUILAR, I.; MASUDA, Y.; BERMANN, M.; LEGARRA, A.; MISZTAL, I. Recent updates in the BLUPF90 software suite. [366]. Part 19 - Methods and tools: software and computing strategies. 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_366 1530-1533. Article history: Published online: February 9, 2023. -- Corresponding author: D. Lourenco, email: danilino@uga.eduTipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
| |
57. | | LOURENCO, D.; LEGARRA, A.; TSURUTA, S.; MASUDA, Y.; AGUILAR, I.; MISZTAL, I. Single-step genomic evaluations from theory to practice: using snp chips and sequence data in blupf90. Genes, July 2020. Volume 11, Issue 7, Article number 790, Pages 1-32. Open Access. Doi: https://doi.org/10.3390/genes11070790 Article history: Received: 19 June 2020 / Revised: 3 July 2020 / Accepted: 6 July 2020 / Published: 14 July 2020.
(This article belongs to the Special Issue Genomic Prediction Methods for Sequencing Data):...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
| |
58. | | MISZTAL, I.; AGUILAR, I.; TSURUTA, S.; SÁNCHEZ, J.P.; ZUMBACH, B. Studies on heat stress in dairy cattle and pigs. Volume Special topics: Animal breeding and the environmental challenges - Lecture Sessions, 0625. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 9., Leipzig, Germany, August 1-6, 2010. p. 0625.Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
| |
59. | | LOURENCO, D.A.L.; MISZTAL, I.; WANG, H.; AGUILAR, I.; TSURUTA, S.; BERTRAND, J.K. Prediction accuracy for a simulated maternally affected trait of beef cattle using different genomic evaluation models. Journal of Animal Science, 2013, v.91, no.9, p.4090-4098. Article history: Published online July 26, 2013.
This study was partially funded by the American Angus Association (St. Joseph, MO) and the USDA Agriculture and Food Research Initiative (Grant no. 2009-65205-05665 from the USDA National...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : A - 2 |
Biblioteca(s): INIA Las Brujas. |
| |
60. | | GARCÍA, A.; AGUILAR, I.; LEGARRA, A.; TSURUTA, S.; MISZTAL, I.; LOURENCO, D. Theoretical accuracy for indirect predictions based on SNP effects from single-step GBLUP. Genetics, Selection, Evolution : GSE, 2022, Volume 54, Issue 1, Pages 66. OPEN ACCESS. doi: https://doi.org/10.1186/s12711-022-00752-4 Article history: Received 22 March 2022; Accepted 23 August 2022; Published 27 September 2022.Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - 1 |
Biblioteca(s): INIA Las Brujas. |
| |
Registros recuperados : 81 | |
|
Expresión de búsqueda válido. Check! |
|
|