|
|
| 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
|
|
Registro completo
|
Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
02/08/2016 |
Actualizado : |
29/10/2019 |
Tipo de producción científica : |
Documentos |
Autor : |
FELIPPE, A.; CABRERA, D.; DISEGNA, E.; SORIA, J.; ZOPPOLO, R.; GARCIA, C.; LEONI, C.; MAESO, D.; NUÑEZ, S.; VILLAMIL, J.M. |
Afiliación : |
INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.; DARWIN DANILO CABRERA RODRIGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; EDGARDO JOSE DISEGNA LIGUORI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JORGE RAUL SORIA BARAIBAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ROBERTO JOSE ZOPPOLO GOLDSCHMIDT, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS GABRIEL GARCIA UZUCA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAROLINA LEONI VELAZCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DIEGO CESAR MAESO TOZZI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SATURNINO NUÑEZ BUA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSE MILTON VILLAMIL LUCAS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
¿Cómo logramos, conocemos y mejoramos la calidad de nuestras frutas? |
Fecha de publicación : |
2007 |
Fuente / Imprenta : |
Suplemento Tecnológico INIA, 2007, p. 12-14, 2007 |
Idioma : |
Español |
Thesagro : |
CALIDAD; CONTROL DE PLAGAS; COSECHA; FRUTICULTURA; PLAGAS DE PLANTAS; POSTCOSECHA; RALEO; SELECCION. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/5752/1/Suplemento-tecnologico-2007.pdf
|
Marc : |
LEADER 00795nam a2200301 a 4500 001 1055153 005 2019-10-29 008 2007 bl uuuu u0uu1 u #d 100 1 $aFELIPPE, A. 245 $a¿Cómo logramos, conocemos y mejoramos la calidad de nuestras frutas?$h[electronic resource] 260 $aSuplemento Tecnológico INIA, 2007, p. 12-14$c2007 650 $aCALIDAD 650 $aCONTROL DE PLAGAS 650 $aCOSECHA 650 $aFRUTICULTURA 650 $aPLAGAS DE PLANTAS 650 $aPOSTCOSECHA 650 $aRALEO 650 $aSELECCION 700 1 $aCABRERA, D. 700 1 $aDISEGNA, E. 700 1 $aSORIA, J. 700 1 $aZOPPOLO, R. 700 1 $aGARCIA, C. 700 1 $aLEONI, C. 700 1 $aMAESO, D. 700 1 $aNUÑEZ, S. 700 1 $aVILLAMIL, J.M.
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA Treinta y Tres (TT) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
Expresión de búsqueda válido. Check! |
|
|