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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Las Brujas; INIA Tacuarembó. |
Fecha : |
21/02/2014 |
Actualizado : |
06/06/2017 |
Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
Autor : |
MONTOSSI, F.; SAN JULIÁN, R.; BRITO, G.; VAZ MARTINS, D.; LUZARDO, S.; DEL CAMPO, M.; FERNANDEZ, E.; HELGUERA, L.; LA MANNA, A.; DE BARBIERI, I.; NOLLA, M.; MESSA, A.; VON ACHENBACH, A.; CASTRO, L.; ROBAINA, R. |
Afiliación : |
FABIO MARCELO MONTOSSI PORCHILE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ROBERTO SAN JULIAN SANCHEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUSTAVO WALTER BRITO DIAZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DANIEL VAZ MARTINS GIGENA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO FELIPE LUZARDO VILLAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARCIA DEL CAMPO GIGENA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ENRIQUE GENARO FERNANDEZ RODRIGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ELBIO LORENZO HELGUERA PEREDA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALEJANDRO FRANCISCO LA MANNA ALONSO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUIS IGNACIO DE BARBIERI ETCHEBERRY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARTIN ANDRES NOLLA LAFRANCONI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALVARO JAVIER MESSA SASTRE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALEJANDRO VON ACHENBACH MUÑOZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUIS CASTRO, INAC (Instituto Nacional de Carnes); RICARDO ROBAINA, INAC (Instituto Nacional de Carnes). |
Título : |
Conociendo la aceptación de nuestras carnes ovinas y bovinas en Europa |
Fecha de publicación : |
2005 |
Fuente / Imprenta : |
Revista INIA, 2005, no. 5, p. 47-48 |
ISSN : |
1510-9011 |
Idioma : |
Español |
Thesagro : |
BOVINOS DE CARNE; CADENA CARNICA BOVINA; CADENA CARNICA OVINA; CARNE; COMPETITIVIDAD; OVINOS. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/784/1/111219220807161107.pdf
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Marc : |
LEADER 00931naa a2200361 a 4500 001 1012578 005 2017-06-06 008 2005 bl uuuu u00u1 u #d 022 $a1510-9011 100 1 $aMONTOSSI, F. 245 $aConociendo la aceptación de nuestras carnes ovinas y bovinas en Europa 260 $c2005 650 $aBOVINOS DE CARNE 650 $aCADENA CARNICA BOVINA 650 $aCADENA CARNICA OVINA 650 $aCARNE 650 $aCOMPETITIVIDAD 650 $aOVINOS 700 1 $aSAN JULIÁN, R. 700 1 $aBRITO, G. 700 1 $aVAZ MARTINS, D. 700 1 $aLUZARDO, S. 700 1 $aDEL CAMPO, M. 700 1 $aFERNANDEZ, E. 700 1 $aHELGUERA, L. 700 1 $aLA MANNA, A. 700 1 $aDE BARBIERI, I. 700 1 $aNOLLA, M. 700 1 $aMESSA, A. 700 1 $aVON ACHENBACH, A. 700 1 $aCASTRO, L. 700 1 $aROBAINA, R. 773 $tRevista INIA, 2005, no. 5, p. 47-48
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Registro original : |
INIA Las Brujas (LB) |
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
21/02/2014 |
Actualizado : |
09/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
A - 2 |
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.
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