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1.Imagen marcada / sin marcar Papa, J.C.M.; Puricelli, E.C.; Felizia, J.C. Malezas tolerantes a herbicidas en soja Idia XXI: revista de información sobre investigación y desarrollo agropecuario, 2002, v. 2, no. 3, p. 64-67
Biblioteca(s): INIA Tacuarembó.
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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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Biblioteca (s) :  INIA Las Brujas.
Fecha actual :  12/11/2015
Actualizado :  02/12/2015
Tipo de producción científica :  Artículos en Revistas Indexadas Internacionales
Circulación / Nivel :  Internacional - --
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... Presentar Todo
Palabras claves :  GENETIC EVALUATION; GENOMIC SELECTION; SINGLE-STEP METHOD.
Thesagro :  MEJORAMIENTO GENETICO ANIMAL.
Asunto categoría :  L10 Genética y mejoramiento animal
Marc :  Presentar Marc Completo
Registro original :  INIA Las Brujas (LB)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LB100789 - 1PXIAP - PPPP/JR.ANIMAL BREED.&GENET./2015
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