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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 : |
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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| Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha actual : |
21/02/2014 |
Actualizado : |
03/07/2018 |
Tipo de producción científica : |
Abstracts/Resúmenes |
Autor : |
GONZÁLEZ, S.N.; ROSSI, C. |
Afiliación : |
SILVANA NOEMI GONZALEZ PARODI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS ALBERTO ROSSI RODRIGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Efecto de la técnica de aplicación de curasemillas en la eficiencia de control de enfermedades en cebada. |
Fecha de publicación : |
2011 |
Fuente / Imprenta : |
In: CONGRESO ARGENTINO DE FITOPATOLOGÍA, 2., 2011, Mar del Plata, AR. Libro de resúmenes. Mar del Plata: AAF, 2011. |
Páginas : |
p. 303. |
ISBN : |
978-987-544-389-1. |
Idioma : |
Español |
Thesagro : |
CEBADA; ENFERMEDADES DE LAS PLANTAS; SEMILLA. |
Asunto categoría : |
H20 Enfermedades de las plantas |
Marc : |
LEADER 00575nam a2200157 a 4500 001 1034315 005 2018-07-03 008 2011 bl uuuu u01u1 u #d 100 1 $aGONZÁLEZ, S.N. 245 $aEfecto de la técnica de aplicación de curasemillas en la eficiencia de control de enfermedades en cebada.$h[electronic resource] 260 $aIn: CONGRESO ARGENTINO DE FITOPATOLOGÍA, 2., 2011, Mar del Plata, AR. Libro de resúmenes. Mar del Plata: AAF$c2011 300 $ap. 303. 650 $aCEBADA 650 $aENFERMEDADES DE LAS PLANTAS 650 $aSEMILLA 700 1 $aROSSI, C.
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