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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
12/11/2015 |
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Actualizado : |
02/12/2015 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
FRAGOMENI, B.O.; LOURENCO, D.A.L.; TSURUTA, S.; MASUDA, Y.; AGUILAR, I.; MISZTAL, I. |
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Afiliación : |
IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Use of genomic recursions and algorithm for proven and young animals for single-step genomic BLUP analyses - a simulation study. |
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Fecha de publicación : |
2015 |
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Fuente / Imprenta : |
Journal of Animal Breeding and Genetics, 2015, v.132, no.5, p. 340-345. |
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ISSN : |
0931-2668 |
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DOI : |
10.1111/jbg.12161 |
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Idioma : |
Inglés |
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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 |
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Palabras claves : |
GENETIC EVALUATION; GENOMIC SELECTION; SINGLE-STEP METHOD. |
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Thesagro : |
MEJORAMIENTO GENETICO ANIMAL. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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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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| Registros recuperados : 5 | |
| 1. |  | MACÍAS-RIOSECO, M.; CAFFARENA, D.; FRAGA, M.; SILVEIRA, C.S.; GIANNITTI, F.; CANTÓN, G.; HECKER, Y.P.; SUANES, A.; RIET-CORREA, F. Abortion outbreak caused by Campylobacter fetus subspecies venerealis and Neospora caninum in a bovine dairy herd. (Technical note). [Brote de abortos causado por Campylobacter fetus subespecie venerealis y Neospora caninum en un hato bovino lechero. (Nota de investigación)]. Revista Mexicana De Ciencias Pecuarias, 2019, Volume 10, Issue 4, 2019, Pages 1054-1063. OPEN ACCESS. Doi: 10.22319/rmcp.v10i4.5008 Article history: Recibido: 02 Agosto 2018. / Aceptado: 28 Agosto 2018.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 2. | | DORSCH, M.; REGIDOR-CERRILLO, J.; ORTEGA-MORA, L.M.; SCIOLI, M.V.; MORRELL, E.L.; CANTÓN, G.J.; MOORE, D.P.; HECKER, Y.P. Microsatellite genotyping reveals extensive genetic diversity in bovine Neospora caninum from the humid Pampa region in Argentina. Parasitology Research, December 2020, Volume 119, Issue 12, Pages 4049-4059. Doi: https://doi-org/10.1007/s00436-020-06922-x Article history:Received: 12 August 2020 /Accepted: 5 October 2020| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA La Estanzuela. |
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| 4. | | GUAL, I.; GIANNITTI, F.; HECKER ,Y.P.; SHIVERS, J.; ENTROCASSI, A.C.; MORRELL ,E.L.; PARDINI, L.; FIORENTINO ,M.A.; RODRÍGUEZ FERMEPIN ,M.; UNZAGA ,J.M.; CANTÓN, G.J.; VENTURINI, M.C.; MOORE, D.P. First case report of Toxoplasma gondii-induced abortions and stillbirths in sheep in Argentina. Veterinary Parasitology: Regional Studies and Reports , v.12, p. 39-42, 2018. History article: Received 4 October 2017 // Received in revised form 8 January 2018// Accepted 9 January 2018 //Available online 11 January 2018.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA La Estanzuela. |
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| 5. | | HECKER, Y. P.; BURUCÚA, M. M.; FIORANI, F.; MALDONADO RIVERA, J. E.; CIRONE, K.M.; DORSCH, M.; CHEUQUEPÁN, F. A.; CAMPERO, L. M.; CANTÓN, G. J.; MARÍN, M. S.; ORTEGA-MORA, L. M.; MOORE, D. P. Reactivation and foetal infection in pregnant heifers infected with Neospora caninum live tachyzoites at prepubertal age. Vaccines, 2022, Volume 10, Issue 8, article 1175. OPEN ACCESS. doi: https://doi.org/10.3390/vaccines10081175 Article history: Received 5 July 2022; Revised 14 July 2022; Accepted 22 July 2022; Published 25 July 2022.
Corresponding author: Hecker, Y.P.; Instituto de Innovación para la Producción Agropecuaria y el Desarrollo Sostenible (IPADS),...| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
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| Registros recuperados : 5 | |
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