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2. | | Bainotti, C.T.Salines, J.H.Amigone, M.A.Fraschina, J.A.Formica, M.B.Nisi, J.E.Kloster, A.M.Garis, M.H.Navarro, C. Nueva variedad de triticale forrajero Espinillo INTA Marcos Juárez, Córdoba (Argentina): INTA, 2007. 11 p. (INTA Marcos Juárez. Información para Extensión ;110)Biblioteca(s): INIA Tacuarembó. |
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Registros recuperados : 5 | |
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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 : |
14/06/2022 |
Actualizado : |
14/06/2022 |
Tipo de producción científica : |
Abstracts/Resúmenes |
Autor : |
GARCÍA, A.; AGUILAR, I.; LEGARRA, A.; MILLER, S.; TSURUTA, S.; MISZTAL, I.; LOURENCO, D. |
Afiliación : |
ANDRÉ GARCÍA, University of Georgia; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDRÉS LEGARRA, UMR GenPhySE, INRA; STEPHEN P. MILLER, Angus Genetics Inc; SHOGO TSURUTA, University of Georgia; IGNACY MISZTAL, University of Georgia; DANIELA LOURENCO, University of Georgia. |
Título : |
Accuracy of indirect predictions for large datasets based on prediction error covariance of SNP effects from single-step GBLUP. [abstract 22]. |
Complemento del título : |
Issue Section: Animal Breeding and Genetics. |
Fecha de publicación : |
2020 |
Fuente / Imprenta : |
Journal of Animal Science, 2020, Volume 98, Issue Supplement 4, Pages 6-7. doi: https://doi.org/10.1093/jas/skaa278.012 |
ISSN : |
1525-3163 |
DOI : |
10.1093/jas/skaa278.012 |
Idioma : |
Inglés |
Notas : |
Article history: 30 November 2020.
ASAS Annual 2020 Meeting Abstracts. |
Contenido : |
ABSTRACT - With an ever-increasing number of genotyped animals, there is a question of whether to include all genotypes into single-step GBLUP (ssGBLUP) evaluations or to include only genotyped animals with phenotypes and use indirect predictions (IP) for the remaining young genotyped animals. Under ssGBLUP, SNP effects can be backsolved from GEBV, and IP can be calculated as the sum of SNP effects weighted by the gene content. |
Palabras claves : |
Interim evaluations; SNP PEC. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
Marc : |
LEADER 01308nam a2200241 a 4500 001 1063292 005 2022-06-14 008 2020 bl uuuu u01u1 u #d 022 $a1525-3163 024 7 $a10.1093/jas/skaa278.012$2DOI 100 1 $aGARCÍA, A. 245 $aAccuracy of indirect predictions for large datasets based on prediction error covariance of SNP effects from single-step GBLUP. [abstract 22].$h[electronic resource] 260 $aJournal of Animal Science, 2020, Volume 98, Issue Supplement 4, Pages 6-7. doi: https://doi.org/10.1093/jas/skaa278.012$c1093 500 $aArticle history: 30 November 2020. ASAS Annual 2020 Meeting Abstracts. 520 $aABSTRACT - With an ever-increasing number of genotyped animals, there is a question of whether to include all genotypes into single-step GBLUP (ssGBLUP) evaluations or to include only genotyped animals with phenotypes and use indirect predictions (IP) for the remaining young genotyped animals. Under ssGBLUP, SNP effects can be backsolved from GEBV, and IP can be calculated as the sum of SNP effects weighted by the gene content. 653 $aInterim evaluations 653 $aSNP PEC 700 1 $aAGUILAR, I. 700 1 $aLEGARRA, A. 700 1 $aMILLER, S. 700 1 $aTSURUTA, S. 700 1 $aMISZTAL, I. 700 1 $aLOURENCO, D.
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