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| Registros recuperados : 22 | |
| 2. |  | Genta, H. Malezas ln: Curso superior de actualización en horticultura, 1996, Montevideo, Uruguay Resúmenes. Montevideo (Uruguay): SUHPREDEG, 1996. p. 28 "SUH (Sociedad Uruguaya de Horticultura); PREDEG (Programa de Reconversión y Desarrollo de la Granja)"| Biblioteca(s): INIA Las Brujas. |
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| 20. | | CAORSI, F.J.; HARTE, F.M.; GENTA, H.; ALLENDE, L.C.; NUÑEZ, A. Desarrollo estacional de Cyperus esculentus en el norte de Uruguay In: ASOCIACIÓN LATINOAMERICANA DE MALEZAS. CONGRESO LATINOAMERICANO DE MALEZAS, 12. 21-23 MARZO 1995, MONTEVIDEO (URY). RÍOS, A.; FERNÁNDEZ, G. (EDS.). Conferencias y trabajos. Montevideo: INIA, 1995. p. 185-194 (INIA Serie Técnica ; 56) Congreso declarado de interés nacional (decreto del Poder Ejecutivo octubre/1994)| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas; INIA Tacuarembó. |
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| Registros recuperados : 22 | |
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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 Las Brujas. |
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Fecha actual : |
21/02/2014 |
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Actualizado : |
09/10/2019 |
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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 : |
AGUILAR, I.; TSURUTA, S.; MISZTAL, I. |
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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. |
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Título : |
Computing options for multiple-trait test-day random regression models while accounting for heat tolerance. |
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Fecha de publicación : |
2010 |
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Fuente / Imprenta : |
Journal of Animal Breeding and Genetics, 2010, v.127, no.3, p.235-241. |
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ISSN : |
0931-2668 |
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DOI : |
10.1111/j.1439-0388.2009.00842.x |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 24 December 2008 / Accepted: 08 September 2009. |
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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 |
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Thesagro : |
GANADERÍA; GANADO DE LECHE. |
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Asunto categoría : |
L01 Ganadería |
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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.
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