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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
12/11/2015 |
Actualizado : |
02/12/2015 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
FRAGOMENI, B.O.; LOURENCO, D.A.L.; TSURUTA, S.; MASUDA, Y.; AGUILAR, I.; MISZTAL, I. |
Afiliación : |
IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Use of genomic recursions and algorithm for proven and young animals for single-step genomic BLUP analyses - a simulation study. |
Fecha de publicación : |
2015 |
Fuente / Imprenta : |
Journal of Animal Breeding and Genetics, 2015, v.132, no.5, p. 340-345. |
ISSN : |
0931-2668 |
DOI : |
10.1111/jbg.12161 |
Idioma : |
Inglés |
Contenido : |
ABSTRACT.
The purpose of this study was to examine accuracy of genomic selection via single-step genomic BLUP (ssGBLUP) when the direct inverse of the genomic relationship matrix (G) is replaced by an approximation of G1 based on recursions for young genotyped animals conditioned on a subset of proven animals, termed algorithm for proven and young animals
(APY). With the efficient implementation, this algorithm has a cubic cost with proven animals and linear with young animals. Ten duplicate data sets mimicking a dairy cattle population were simulated. In a first scenario, genomic information for 20k genotyped bulls, divided in 7k proven and 13k young bulls, was generated for each replicate. In a second scenario, 5k genotyped cows with phenotypes were included in the analysis as young animals. Accuracies (average for the 10 replicates) in regular EBV were 0.72 and 0.34 for proven and young animals, respectively.
When genomic information was included, they increased to 0.75 and 0.50. No differences between genomic EBV (GEBV) obtained with the regular G1 and the approximated G1 via the recursive method were observed. In the second scenario, accuracies in GEBV (0.76, 0.51 and 0.59 for proven bulls, young males and young females, respectively)
were also higher than those in EBV (0.72, 0.35 and 0.49). Again, no differences between GEBV with regular G1 and with recursions were observed. With the recursive algorithm, the number of iterations to achieve convergence was reduced from 227 to 206 in the first scenario and from 232 to 209 in the second scenario. Cows can be treated as young animals in APY without reducing the accuracy. The proposed algorithm can be implemented to reduce computing costs and to overcome current limitations on the number of genotyped animals in the ssGBLUP method.
© 2015 Blackwell Verlag GmbH MenosABSTRACT.
The purpose of this study was to examine accuracy of genomic selection via single-step genomic BLUP (ssGBLUP) when the direct inverse of the genomic relationship matrix (G) is replaced by an approximation of G1 based on recursions for young genotyped animals conditioned on a subset of proven animals, termed algorithm for proven and young animals
(APY). With the efficient implementation, this algorithm has a cubic cost with proven animals and linear with young animals. Ten duplicate data sets mimicking a dairy cattle population were simulated. In a first scenario, genomic information for 20k genotyped bulls, divided in 7k proven and 13k young bulls, was generated for each replicate. In a second scenario, 5k genotyped cows with phenotypes were included in the analysis as young animals. Accuracies (average for the 10 replicates) in regular EBV were 0.72 and 0.34 for proven and young animals, respectively.
When genomic information was included, they increased to 0.75 and 0.50. No differences between genomic EBV (GEBV) obtained with the regular G1 and the approximated G1 via the recursive method were observed. In the second scenario, accuracies in GEBV (0.76, 0.51 and 0.59 for proven bulls, young males and young females, respectively)
were also higher than those in EBV (0.72, 0.35 and 0.49). Again, no differences between GEBV with regular G1 and with recursions were observed. With the recursive algorithm, the number of iterations to achieve convergence was reduced from... Presentar Todo |
Palabras claves : |
GENETIC EVALUATION; GENOMIC SELECTION; SINGLE-STEP METHOD. |
Thesagro : |
MEJORAMIENTO GENETICO ANIMAL. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
Marc : |
LEADER 02627naa a2200253 a 4500 001 1053862 005 2015-12-02 008 2015 bl uuuu u00u1 u #d 022 $a0931-2668 024 7 $a10.1111/jbg.12161$2DOI 100 1 $aFRAGOMENI, B.O. 245 $aUse of genomic recursions and algorithm for proven and young animals for single-step genomic BLUP analyses - a simulation study. 260 $c2015 520 $aABSTRACT. The purpose of this study was to examine accuracy of genomic selection via single-step genomic BLUP (ssGBLUP) when the direct inverse of the genomic relationship matrix (G) is replaced by an approximation of G1 based on recursions for young genotyped animals conditioned on a subset of proven animals, termed algorithm for proven and young animals (APY). With the efficient implementation, this algorithm has a cubic cost with proven animals and linear with young animals. Ten duplicate data sets mimicking a dairy cattle population were simulated. In a first scenario, genomic information for 20k genotyped bulls, divided in 7k proven and 13k young bulls, was generated for each replicate. In a second scenario, 5k genotyped cows with phenotypes were included in the analysis as young animals. Accuracies (average for the 10 replicates) in regular EBV were 0.72 and 0.34 for proven and young animals, respectively. When genomic information was included, they increased to 0.75 and 0.50. No differences between genomic EBV (GEBV) obtained with the regular G1 and the approximated G1 via the recursive method were observed. In the second scenario, accuracies in GEBV (0.76, 0.51 and 0.59 for proven bulls, young males and young females, respectively) were also higher than those in EBV (0.72, 0.35 and 0.49). Again, no differences between GEBV with regular G1 and with recursions were observed. With the recursive algorithm, the number of iterations to achieve convergence was reduced from 227 to 206 in the first scenario and from 232 to 209 in the second scenario. Cows can be treated as young animals in APY without reducing the accuracy. The proposed algorithm can be implemented to reduce computing costs and to overcome current limitations on the number of genotyped animals in the ssGBLUP method. © 2015 Blackwell Verlag GmbH 650 $aMEJORAMIENTO GENETICO ANIMAL 653 $aGENETIC EVALUATION 653 $aGENOMIC SELECTION 653 $aSINGLE-STEP METHOD 700 1 $aLOURENCO, D.A.L. 700 1 $aTSURUTA, S. 700 1 $aMASUDA, Y. 700 1 $aAGUILAR, I. 700 1 $aMISZTAL, I. 773 $tJournal of Animal Breeding and Genetics, 2015$gv.132, no.5, p. 340-345.
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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
Fecha actual : |
21/02/2014 |
Actualizado : |
18/09/2018 |
Tipo de producción científica : |
Documentos |
Autor : |
GIORELLO, D. |
Afiliación : |
DIEGO GERMAN GIORELLO LEITES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
INIA Tacuarembó Unidad Experimental "La Magnolia" |
Fecha de publicación : |
2010 |
Fuente / Imprenta : |
ln: INIA Tacuarembó. Unidad Experimental "La Magnolia". Día de Campo, 15 de diciembre de 2010, Tacuarembó. Alternativas tecnológicas para suelos de areniscas. Tacuarembó (Uruguay): INIA, 2010. |
Páginas : |
p. 1-6 |
Serie : |
(INIA Serie Actividades de Difusión ; 633) |
Idioma : |
Español |
Contenido : |
Introducción. Unidad Experimental. Historia. Clima. Casilla meteorológica. Descripción del sistema de producción. Usos de suelo. Descripción de suelos. Grupos de suelos Coneat. Pasturas y forrajes. Descripción de presupuestos forrajeros realizados en la Unidad. Rotación forrajera planteada. Descripción del sistema ganadero. Actividades experimentales o de servicios realizadas en la Unidad Experimental. |
Palabras claves : |
CLIMA; HISTORIA EXPERIMENTAL. |
Thesagro : |
LA MAGNOLIA. |
Asunto categoría : |
A50 Investigación agraria |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/11214/1/sad633p1-6.pdf
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Marc : |
LEADER 01054naa a2200181 a 4500 001 1027352 005 2018-09-18 008 2010 bl uuuu u00u1 u #d 100 1 $aGIORELLO, D. 245 $aINIA Tacuarembó Unidad Experimental "La Magnolia" 260 $c2010 300 $ap. 1-6 490 $a(INIA Serie Actividades de Difusión ; 633) 520 $aIntroducción. Unidad Experimental. Historia. Clima. Casilla meteorológica. Descripción del sistema de producción. Usos de suelo. Descripción de suelos. Grupos de suelos Coneat. Pasturas y forrajes. Descripción de presupuestos forrajeros realizados en la Unidad. Rotación forrajera planteada. Descripción del sistema ganadero. Actividades experimentales o de servicios realizadas en la Unidad Experimental. 650 $aLA MAGNOLIA 653 $aCLIMA 653 $aHISTORIA EXPERIMENTAL 773 $tln: INIA Tacuarembó. Unidad Experimental "La Magnolia". Día de Campo, 15 de diciembre de 2010, Tacuarembó. Alternativas tecnológicas para suelos de areniscas. Tacuarembó (Uruguay): INIA, 2010.
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