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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
21/02/2014 |
Actualizado : |
23/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
TSURUTA, S.; MISZTAL, I.; AGUILAR, I.; LAWLOR, T.J. |
Afiliación : |
IGNACIO AGUILAR GARCIA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
Título : |
Multiple-trait genomic evaluation of linear type traits using genomic and phenotypic data in US Holsteins. |
Fecha de publicación : |
2011 |
Fuente / Imprenta : |
Journal of Dairy Science, 2011, v.94, no.8, p.4198-4204. OPEN ACCESS. |
ISSN : |
0022-0302 |
DOI : |
10.3168/jds.2011-4256 |
Idioma : |
Inglés |
Notas : |
Article history: Received February 9, 2011. / Accepted April 8, 2011. |
Contenido : |
ABSTRACT.
Currently, the USDA uses a single-trait (ST) model with several intermediate steps to obtain genomic evaluations for US Holsteins. In this study, genomic evaluations for 18 linear type traits were obtained with a multiple-trait (MT) model using a unified single-step procedure. The phenotypic type data on up to 18 traits were available for 4,813,726 Holsteins, and single nucleotide polymorphism markers from the Illumina BovineSNP50 genotyping Beadchip (Illumina Inc., San Diego, CA) were available on 17,293 bulls. Genomic predictions were computed with several genomic relationship matrices (G) that assumed different allele frequencies: equal, base, current, and current scaled. Computations were carried out with ST and MT models. Procedures were compared by coefficients of determination (R 2) and regression of 2004 prediction of bulls with no daughters in 2004 on daughter deviations of those bulls in 2009. Predictions for 2004 also included parent averages without the use of genomic information. The R 2 for parent averages ranged from 10 to 34% for ST models and from 12 to 35% for MT models. The average R 2 for all G were 34 and 37% for ST and MT models, respectively. All of the regression coefficients were <1.0, indicating that estimated breeding values in 2009 of 1,307 genotyped young bulls' parents tended to be biased. The average regression coefficients ranged from 0.74 to 0.79 and from 0.75 to 0.80 for ST and MT models, respectively. When the weight for the inverse of the numerator relationship matrix (A -1) for genotyped animals was reduced from 1 to 0.7, R 2 remained almost identical while the regression coefficients increased by 0.11-0.26 and 0.12-0.23 for ST and MT models, respectively. The ST models required about 5s per iteration, whereas MT models required 3 (6) min per iteration for the regular (genomic) model. The MT single-step approach is feasible for 18 linear type traits in US Holstein cattle. Accuracy for genomic evaluation increases when switching ST models to MT models. Inflation of genomic evaluations for young bulls could be reduced by choosing a small weight for the A -1 for genotyped bulls.
© 2011 American Dairy Science Association. MenosABSTRACT.
Currently, the USDA uses a single-trait (ST) model with several intermediate steps to obtain genomic evaluations for US Holsteins. In this study, genomic evaluations for 18 linear type traits were obtained with a multiple-trait (MT) model using a unified single-step procedure. The phenotypic type data on up to 18 traits were available for 4,813,726 Holsteins, and single nucleotide polymorphism markers from the Illumina BovineSNP50 genotyping Beadchip (Illumina Inc., San Diego, CA) were available on 17,293 bulls. Genomic predictions were computed with several genomic relationship matrices (G) that assumed different allele frequencies: equal, base, current, and current scaled. Computations were carried out with ST and MT models. Procedures were compared by coefficients of determination (R 2) and regression of 2004 prediction of bulls with no daughters in 2004 on daughter deviations of those bulls in 2009. Predictions for 2004 also included parent averages without the use of genomic information. The R 2 for parent averages ranged from 10 to 34% for ST models and from 12 to 35% for MT models. The average R 2 for all G were 34 and 37% for ST and MT models, respectively. All of the regression coefficients were <1.0, indicating that estimated breeding values in 2009 of 1,307 genotyped young bulls' parents tended to be biased. The average regression coefficients ranged from 0.74 to 0.79 and from 0.75 to 0.80 for ST and MT models, respectively. When the weight for the i... Presentar Todo |
Thesagro : |
MEJORAMIENTO GENÉTICO ANIMAL. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/3507/1/Aguilar-I.-2011.-Jr.Dairy-Sc.-v.948-p.4198-4204.pdf
https://www.journalofdairyscience.org/article/S0022-0302(11)00423-1/pdf
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Marc : |
LEADER 02915naa a2200205 a 4500 001 1012838 005 2019-10-23 008 2011 bl uuuu u00u1 u #d 022 $a0022-0302 024 7 $a10.3168/jds.2011-4256$2DOI 100 1 $aTSURUTA, S. 245 $aMultiple-trait genomic evaluation of linear type traits using genomic and phenotypic data in US Holsteins.$h[electronic resource] 260 $c2011 500 $aArticle history: Received February 9, 2011. / Accepted April 8, 2011. 520 $aABSTRACT. Currently, the USDA uses a single-trait (ST) model with several intermediate steps to obtain genomic evaluations for US Holsteins. In this study, genomic evaluations for 18 linear type traits were obtained with a multiple-trait (MT) model using a unified single-step procedure. The phenotypic type data on up to 18 traits were available for 4,813,726 Holsteins, and single nucleotide polymorphism markers from the Illumina BovineSNP50 genotyping Beadchip (Illumina Inc., San Diego, CA) were available on 17,293 bulls. Genomic predictions were computed with several genomic relationship matrices (G) that assumed different allele frequencies: equal, base, current, and current scaled. Computations were carried out with ST and MT models. Procedures were compared by coefficients of determination (R 2) and regression of 2004 prediction of bulls with no daughters in 2004 on daughter deviations of those bulls in 2009. Predictions for 2004 also included parent averages without the use of genomic information. The R 2 for parent averages ranged from 10 to 34% for ST models and from 12 to 35% for MT models. The average R 2 for all G were 34 and 37% for ST and MT models, respectively. All of the regression coefficients were <1.0, indicating that estimated breeding values in 2009 of 1,307 genotyped young bulls' parents tended to be biased. The average regression coefficients ranged from 0.74 to 0.79 and from 0.75 to 0.80 for ST and MT models, respectively. When the weight for the inverse of the numerator relationship matrix (A -1) for genotyped animals was reduced from 1 to 0.7, R 2 remained almost identical while the regression coefficients increased by 0.11-0.26 and 0.12-0.23 for ST and MT models, respectively. The ST models required about 5s per iteration, whereas MT models required 3 (6) min per iteration for the regular (genomic) model. The MT single-step approach is feasible for 18 linear type traits in US Holstein cattle. Accuracy for genomic evaluation increases when switching ST models to MT models. Inflation of genomic evaluations for young bulls could be reduced by choosing a small weight for the A -1 for genotyped bulls. © 2011 American Dairy Science Association. 650 $aMEJORAMIENTO GENÉTICO ANIMAL 700 1 $aMISZTAL, I. 700 1 $aAGUILAR, I. 700 1 $aLAWLOR, T.J. 773 $tJournal of Dairy Science, 2011$gv.94, no.8, p.4198-4204. OPEN ACCESS.
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INIA Las Brujas (LB) |
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Registros recuperados : 218 | |
62. | | 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.uyTipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
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70. | | CIAPPESONI, G.; PRAVIA, M.; RAVAGNOLO, O.; AGUILAR, I. Objetivos de selección y progreso genético. ln: INIA Tacuarembó. Sociedad Criadores Merino Australiano del Uruguay. SUL. Proyecto Merino Fino del Uruguay: quinta distribución de carneros generados en el núcleo fundacional de merino fino de la Unidad Experimental Glencoe, INIA Tacuarembó, 1999 - 2004. Glencoe, Paysandú, 10 diciembre, 2004. Tacuarembó (Uruguay): INIA, 2004. p. 55-62 (INIA Serie Actividades de Difusión ; 392)Biblioteca(s): INIA Tacuarembó. |
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72. | | 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.Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : A - 1 |
Biblioteca(s): INIA Las Brujas. |
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77. | | 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...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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79. | | 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.Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
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80. | | NEGRI, R.; AGUILAR, I.; FELTES, G. L.; COBUCI, J. A. Selection for test-day milk yield and thermotolerance in brazilian holstein cattle. Animals, January 2021, Volume 11, Issue 1, Article number 128, Pages 1-13. OPEN ACCESS. Doi: https://doi.org/10.3390/ani11010128 Article history: Received 16 November 2020; Accepted 29 December 2020; Published 8 January 2021.
Corresponding author: Negri, R.; Department of Animal Science, Federal University of Rio Grande do Sul, Porto Alegre, Brazil;...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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Registros recuperados : 218 | |
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