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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Salto Grande; INIA Tacuarembó; INIA Treinta y Tres. |
Fecha : |
21/02/2014 |
Actualizado : |
19/03/2020 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
Autor : |
Terra, J. ; Scaglia, G. ; García Prechac, F. |
Afiliación : |
JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUILLERMO SCAGLIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO GARCÍA PRÉCHAC, UdelaR (Universidad de la República Oriental del Uruguay). FAGRO (Facultad de Agronomía). |
Título : |
Comparación de cuatro intensidades de uso del suelo con tecnología de siembra directa para producción forrajera en las lomadas del este de Uruguay |
Fecha de publicación : |
1997 |
Fuente / Imprenta : |
ln: Congreso Nacional de Ingenieria Agronomica, 7 : 1997 dic 4 : Montevideo Jornada de Siembra Directa : compendio de trabajos presentados. Montevideo (Uruguay): Asociación de Ingenieros Agronomos, 1997. |
Páginas : |
p107-113 |
Idioma : |
Español |
Palabras claves : |
ANÁLISIS ECONÓMICO DE LA PRODUCCIÓN; CULTIVO CONTINUO; EXPERIMENTOS DE LARGO PLAZO; PASTOREO CON SOBREAÑOS; PASTOREO CON TERNEROS; PASTOREO ROTATIVO; PASTURA MEJORADA PERMANENTE; PRODUCCIÓN DE CARNE BOVINA; REQUERIMIENTOS DE FERTILIZACIÓN; ROTACIONES CULTIVO-PASTURA. |
Thesagro : |
CAMPO NATURAL; MANEJO DEL SUELO; PASTURAS NATURALES; PLANTAS FORRAJERAS; ROTACION DE CULTIVOS; SIEMBRA DIRECTA; URUGUAY; USO DEL SUELO. |
Asunto categoría : |
-- F01 Cultivo |
Marc : |
LEADER 01325naa a2200361 a 4500 001 1015424 005 2020-03-19 008 1997 bl uuuu u00u1 u #d 100 1 $aTERRA, J. 245 $aComparación de cuatro intensidades de uso del suelo con tecnología de siembra directa para producción forrajera en las lomadas del este de Uruguay 260 $c1997 300 $ap107-113 650 $aCAMPO NATURAL 650 $aMANEJO DEL SUELO 650 $aPASTURAS NATURALES 650 $aPLANTAS FORRAJERAS 650 $aROTACION DE CULTIVOS 650 $aSIEMBRA DIRECTA 650 $aURUGUAY 650 $aUSO DEL SUELO 653 $aANÁLISIS ECONÓMICO DE LA PRODUCCIÓN 653 $aCULTIVO CONTINUO 653 $aEXPERIMENTOS DE LARGO PLAZO 653 $aPASTOREO CON SOBREAÑOS 653 $aPASTOREO CON TERNEROS 653 $aPASTOREO ROTATIVO 653 $aPASTURA MEJORADA PERMANENTE 653 $aPRODUCCIÓN DE CARNE BOVINA 653 $aREQUERIMIENTOS DE FERTILIZACIÓN 653 $aROTACIONES CULTIVO-PASTURA 700 1 $aSCAGLIA, G. 700 1 $aGARCÍA PRECHAC, F. 773 $tln: Congreso Nacional de Ingenieria Agronomica, 7 : 1997 dic 4 : Montevideo Jornada de Siembra Directa : compendio de trabajos presentados. Montevideo (Uruguay): Asociación de Ingenieros Agronomos, 1997.
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Registro original : |
INIA Salto Grande (SG) |
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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 : |
09/11/2017 |
Actualizado : |
25/11/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
MASUDA, Y; MISZTAL, I.; LEGARRA, A.; TSURUTA, S.; LOURENCO, D.A.L.; FRAGOMENI, B.O.; AGUILAR, I. |
Afiliación : |
Y. MASUDA, Department of Animal and Dairy Science, University of Georgia; I. MISZTAL, Department of Animal and Dairy Science, University of Georgia; A. LEGARRA, INRA (Institut National de la Recherche Agronomique); S. TSURUTA, Department of Animal and Dairy Science, University of Georgia; D.A.L. LOURENCO, Department of Animal and Dairy Science, University of Georgia; B.O. FRAGOMENI, Department of Animal and Dairy Science, University of Georgia; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Technical note: Avoiding the direct inversion of the numerator relationship matrix for genotyped animals in single-step genomic best linear unbiased prediction solved with the preconditioned conjugate gradient. |
Fecha de publicación : |
2017 |
Fuente / Imprenta : |
Journal of Animal Science, 2017, v. 95(1): 49-52. |
DOI : |
10.2527/jas.2016.0699 |
Idioma : |
Inglés |
Notas : |
Article history: Received: July 05, 2016; Accepted: Aug 16, 2016; Published: February 2, 2017.
This research was partially funded by the United States Department of Agriculture?s National Institute of Food and Agriculture (Agriculture and Food Research Initiative competitive grant 2015-67015-22936). |
Contenido : |
ABSTRACT.
This paper evaluates an efficient implementation to multiply the inverse of a numerator relationship matrix for genotyped animals () by a vector (q). The computation is required for solving mixed model equations in single-step genomic BLUP (ssGBLUP) with the preconditioned conjugate gradient (PCG). The inverse can be decomposed into sparse matrices that are blocks of the sparse inverse of a numerator relationship matrix (A−1) including genotyped animals and their ancestors. The elements of A−1 were rapidly calculated with the Henderson?s rule and stored as sparse matrices in memory. Implementation of was by a series of sparse matrix?vector multiplications. Diagonal elements of , which were required as preconditioners in PCG, were approximated with a Monte Carlo method using 1,000 samples. The efficient implementation of was compared with explicit inversion of A22 with 3 data sets including about 15,000, 81,000, and 570,000 genotyped animals selected from populations with 213,000, 8.2 million, and 10.7 million pedigree animals, respectively. The explicit inversion required 1.8 GB, 49 GB, and 2,415 GB (estimated) of memory, respectively, and 42 s, 56 min, and 13.5 d (estimated), respectively, for the computations. The efficient implementation required <1 MB, 2.9 GB, and 2.3 GB of memory, respectively, and <1 sec, 3 min, and 5 min, respectively, for setting up. Only <1 sec was required for the multiplication in each PCG iteration for any data sets. When the equations in ssGBLUP are solved with the PCG algorithm, is no longer a limiting factor in the computations.
Copyright © 2016. American Society of Animal Science. MenosABSTRACT.
This paper evaluates an efficient implementation to multiply the inverse of a numerator relationship matrix for genotyped animals () by a vector (q). The computation is required for solving mixed model equations in single-step genomic BLUP (ssGBLUP) with the preconditioned conjugate gradient (PCG). The inverse can be decomposed into sparse matrices that are blocks of the sparse inverse of a numerator relationship matrix (A−1) including genotyped animals and their ancestors. The elements of A−1 were rapidly calculated with the Henderson?s rule and stored as sparse matrices in memory. Implementation of was by a series of sparse matrix?vector multiplications. Diagonal elements of , which were required as preconditioners in PCG, were approximated with a Monte Carlo method using 1,000 samples. The efficient implementation of was compared with explicit inversion of A22 with 3 data sets including about 15,000, 81,000, and 570,000 genotyped animals selected from populations with 213,000, 8.2 million, and 10.7 million pedigree animals, respectively. The explicit inversion required 1.8 GB, 49 GB, and 2,415 GB (estimated) of memory, respectively, and 42 s, 56 min, and 13.5 d (estimated), respectively, for the computations. The efficient implementation required <1 MB, 2.9 GB, and 2.3 GB of memory, respectively, and <1 sec, 3 min, and 5 min, respectively, for setting up. Only <1 sec was required for the multiplication in each PCG iteration for any data sets. When t... Presentar Todo |
Palabras claves : |
COMPUTATION; GENOMIC SELECTION; INVERSION; NUMERATOR RELATIONSHIP MATRIX; PRECONDITIONED CONJUGATE GRADIENT; SPARSE MATRIX. |
Asunto categoría : |
-- |
Marc : |
LEADER 02919naa a2200289 a 4500 001 1057743 005 2019-11-25 008 2017 bl uuuu u00u1 u #d 024 7 $a10.2527/jas.2016.0699$2DOI 100 1 $aMASUDA, Y 245 $aTechnical note$bAvoiding the direct inversion of the numerator relationship matrix for genotyped animals in single-step genomic best linear unbiased prediction solved with the preconditioned conjugate gradient.$h[electronic resource] 260 $c2017 500 $aArticle history: Received: July 05, 2016; Accepted: Aug 16, 2016; Published: February 2, 2017. This research was partially funded by the United States Department of Agriculture?s National Institute of Food and Agriculture (Agriculture and Food Research Initiative competitive grant 2015-67015-22936). 520 $aABSTRACT. This paper evaluates an efficient implementation to multiply the inverse of a numerator relationship matrix for genotyped animals () by a vector (q). The computation is required for solving mixed model equations in single-step genomic BLUP (ssGBLUP) with the preconditioned conjugate gradient (PCG). The inverse can be decomposed into sparse matrices that are blocks of the sparse inverse of a numerator relationship matrix (A−1) including genotyped animals and their ancestors. The elements of A−1 were rapidly calculated with the Henderson?s rule and stored as sparse matrices in memory. Implementation of was by a series of sparse matrix?vector multiplications. Diagonal elements of , which were required as preconditioners in PCG, were approximated with a Monte Carlo method using 1,000 samples. The efficient implementation of was compared with explicit inversion of A22 with 3 data sets including about 15,000, 81,000, and 570,000 genotyped animals selected from populations with 213,000, 8.2 million, and 10.7 million pedigree animals, respectively. The explicit inversion required 1.8 GB, 49 GB, and 2,415 GB (estimated) of memory, respectively, and 42 s, 56 min, and 13.5 d (estimated), respectively, for the computations. The efficient implementation required <1 MB, 2.9 GB, and 2.3 GB of memory, respectively, and <1 sec, 3 min, and 5 min, respectively, for setting up. Only <1 sec was required for the multiplication in each PCG iteration for any data sets. When the equations in ssGBLUP are solved with the PCG algorithm, is no longer a limiting factor in the computations. Copyright © 2016. American Society of Animal Science. 653 $aCOMPUTATION 653 $aGENOMIC SELECTION 653 $aINVERSION 653 $aNUMERATOR RELATIONSHIP MATRIX 653 $aPRECONDITIONED CONJUGATE GRADIENT 653 $aSPARSE MATRIX 700 1 $aMISZTAL, I. 700 1 $aLEGARRA, A. 700 1 $aTSURUTA, S. 700 1 $aLOURENCO, D.A.L. 700 1 $aFRAGOMENI, B.O. 700 1 $aAGUILAR, I. 773 $tJournal of Animal Science, 2017$gv. 95(1): 49-52.
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