| |
|
|
 | 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 : |
21/02/2014 |
|
Actualizado : |
09/10/2019 |
|
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
|
Autor : |
AGUILAR, I.; TSURUTA, S.; MISZTAL, I. |
|
Afiliación : |
IGNACIO AGUILAR GARCIA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay; S. TSURUTA, Animal and Dairy Science Department, University of Georgia, Athens, United State; I. MISZTAL, Animal and Dairy Science Department, University of Georgia, Athens, United States. |
|
Título : |
Computing options for multiple-trait test-day random regression models while accounting for heat tolerance. |
|
Fecha de publicación : |
2010 |
|
Fuente / Imprenta : |
Journal of Animal Breeding and Genetics, 2010, v.127, no.3, p.235-241. |
|
ISSN : |
0931-2668 |
|
DOI : |
10.1111/j.1439-0388.2009.00842.x |
|
Idioma : |
Inglés |
|
Notas : |
Article history: Received: 24 December 2008 / Accepted: 08 September 2009. |
|
Contenido : |
ABSTRACT.
Data included 90 242 799 test day records from first, second and third parities of 5 402 484 Holstein cows and 9 326 754 animals in the pedigree. Additionally, daily temperature humidity indexes (THI) from 202 weather stations were available. The fixed effects included herd test day, age at calving, milking frequency and days in milk classes (DIM). Random effects were additive genetic, permanent environment and herd-year and were fit as random regressions. Covariates included linear splines with four knots at 5, 50, 200 and 305 DIM and a function of THI. Mixed model equations were solved using an iteration on data program with a preconditioned conjugate gradient algorithm. Preconditioners used were diagonal (D), block diagonal due to traits (BT) and block diagonal due to traits and correlated effects (BTCORR). One run included BT with a 'diagonalized' model in which the random effects were reparameterized for diagonal (co)variance matrices among traits (BTDIAG). Memory requirements were 8.7 Gb for D, 10.4 Gb for BT and BTDIAG, and 24.3 Gb for BTCORR. Computing times (rounds) were 14 days (952) for D, 10.7 days (706) for BT, 7.7 days (494) for BTDIAG and 4.6 days (289) for BTCORR. The convergence pattern was strongly influenced by the choice of fixed effects. When sufficient memory is available, the option BTCORR is the fastest and simplest to implement; the next efficient method, BTDIAG, requires additional steps for diagonalization and back-diagonalization.
© 2009 Blackwell Verlag GmbH. MenosABSTRACT.
Data included 90 242 799 test day records from first, second and third parities of 5 402 484 Holstein cows and 9 326 754 animals in the pedigree. Additionally, daily temperature humidity indexes (THI) from 202 weather stations were available. The fixed effects included herd test day, age at calving, milking frequency and days in milk classes (DIM). Random effects were additive genetic, permanent environment and herd-year and were fit as random regressions. Covariates included linear splines with four knots at 5, 50, 200 and 305 DIM and a function of THI. Mixed model equations were solved using an iteration on data program with a preconditioned conjugate gradient algorithm. Preconditioners used were diagonal (D), block diagonal due to traits (BT) and block diagonal due to traits and correlated effects (BTCORR). One run included BT with a 'diagonalized' model in which the random effects were reparameterized for diagonal (co)variance matrices among traits (BTDIAG). Memory requirements were 8.7 Gb for D, 10.4 Gb for BT and BTDIAG, and 24.3 Gb for BTCORR. Computing times (rounds) were 14 days (952) for D, 10.7 days (706) for BT, 7.7 days (494) for BTDIAG and 4.6 days (289) for BTCORR. The convergence pattern was strongly influenced by the choice of fixed effects. When sufficient memory is available, the option BTCORR is the fastest and simplest to implement; the next efficient method, BTDIAG, requires additional steps for diagonalization and back-diagonalization.
© 2... Presentar Todo |
|
Thesagro : |
GANADERÍA; GANADO DE LECHE. |
|
Asunto categoría : |
L01 Ganadería |
|
Marc : |
LEADER 02234naa a2200205 a 4500
001 1012846
005 2019-10-09
008 2010 bl uuuu u00u1 u #d
022 $a0931-2668
024 7 $a10.1111/j.1439-0388.2009.00842.x$2DOI
100 1 $aAGUILAR, I.
245 $aComputing options for multiple-trait test-day random regression models while accounting for heat tolerance.$h[electronic resource]
260 $c2010
500 $aArticle history: Received: 24 December 2008 / Accepted: 08 September 2009.
520 $aABSTRACT. Data included 90 242 799 test day records from first, second and third parities of 5 402 484 Holstein cows and 9 326 754 animals in the pedigree. Additionally, daily temperature humidity indexes (THI) from 202 weather stations were available. The fixed effects included herd test day, age at calving, milking frequency and days in milk classes (DIM). Random effects were additive genetic, permanent environment and herd-year and were fit as random regressions. Covariates included linear splines with four knots at 5, 50, 200 and 305 DIM and a function of THI. Mixed model equations were solved using an iteration on data program with a preconditioned conjugate gradient algorithm. Preconditioners used were diagonal (D), block diagonal due to traits (BT) and block diagonal due to traits and correlated effects (BTCORR). One run included BT with a 'diagonalized' model in which the random effects were reparameterized for diagonal (co)variance matrices among traits (BTDIAG). Memory requirements were 8.7 Gb for D, 10.4 Gb for BT and BTDIAG, and 24.3 Gb for BTCORR. Computing times (rounds) were 14 days (952) for D, 10.7 days (706) for BT, 7.7 days (494) for BTDIAG and 4.6 days (289) for BTCORR. The convergence pattern was strongly influenced by the choice of fixed effects. When sufficient memory is available, the option BTCORR is the fastest and simplest to implement; the next efficient method, BTDIAG, requires additional steps for diagonalization and back-diagonalization. © 2009 Blackwell Verlag GmbH.
650 $aGANADERÍA
650 $aGANADO DE LECHE
700 1 $aTSURUTA, S.
700 1 $aMISZTAL, I.
773 $tJournal of Animal Breeding and Genetics, 2010$gv.127, no.3, p.235-241.
Descargar
Esconder MarcPresentar Marc Completo |
|
Registro original : |
INIA Las Brujas (LB) |
|
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
|
| Registros recuperados : 217 | |
| 7. |  | REBOLLO, I.; AGUILAR, I.; ROSAS, J.E. Comparison of conventional and GBLUP Genome-Wide Association mapping of cold tolerance in advanced rice breeding populations. [Abstract] + [Poster]. In: International Temperate Rice Conference (7., 2020, Pelotas, RS), Science & Innovation: feeding a world of 10 billion people: proceedings. Pelotas RS, Brasil, February 9-12, 2020. Brasília, DF : Embrapa, 2020.| Tipo: Abstracts/Resúmenes |
| Biblioteca(s): INIA Treinta y Tres. |
|    |
| 15. | | AGUILAR, I.; RAVAGNOLO, O.; PRAVIA, M.I. Evaluación genética poblacional raza Braford. Unidad Experimental La Magnolia, 3 abril, 2009. ln: INIA TACUAREMBÓ. Soluciones tecnológicas para la raza Braford: gira técnica. En el marco del CONGRESO MUNDIAL BRAFORD, 4., Punta del Este, Uruguay, 2009. Tacuarembó: INIA, 2009. p. 42-44.| Tipo: Trabajos en Congresos/Conferencias |
| Biblioteca(s): INIA Tacuarembó. |
| |
| 18. | | SILVEIRA, N.F.; RAVAGNOLO, O.; AGUILAR, I. Longevity in genetic evaluation of Holstein cows in Uruguay. [664]. 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_664 2741-2744. Article history: Published online: February 9, 2023. -- Corresponding author: N.F. Silveira, email: nferraz@inia.org.uy| Tipo: Trabajos en Congresos/Conferencias |
| Biblioteca(s): INIA Las Brujas. |
| |
| Registros recuperados : 217 | |
|
| Expresión de búsqueda válido. Check! |
|
|
