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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
08/02/2023 |
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Actualizado : |
08/02/2023 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
BERMANN, M.; AGUILAR, I.; LOURENCO , D.; MISZTAL, I.; LEGARRA, A. |
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Afiliación : |
MATIAS BERMANN, Department of Animal and Dairy Science, University of Georgia, Athens, GA, USA; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DANIELA LOURENCO, Department of Animal and Dairy Science, University of Georgia, Athens, GA, USA; IGNACY MISZTAL, Department of Animal and Dairy Science, University of Georgia, Athens, GA, USA; ANDRES LEGARRA, Present address: Council on Dairy Cattle Breeding, Bowie, MD, 20716, USA; GenPhySE, INRAE, ENVT, Université de Toulouse, 31326, Castanet-Tolosan, France. |
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Título : |
Reliabilities of estimated breeding values in models with metafounders. |
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Complemento del título : |
Research article. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Genetics, Selection, Evolution : GSE, 2023, volume55, issue 1, article 6. OPEN ACCESS. doi: https://doi.org/10.1186/s12711-023-00778-2 |
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ISSN : |
1297-9686 |
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DOI : |
10.1186/s12711-023-00778-2 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 29 June 2022; Accepted 04 January 2023; Published 23 January 2023. -- Corresponding author: Matias Bermann, Department of Animal and Dairy Science, University of Georgia, Athens, GA, USA, email: mbermann@uga.edu -- FUNDING: This study was partially funded by Agriculture and Food Research Initiative Competitive Grant No. 2020-67015-31030 from the US Department of Agriculture?s National Institute of Food and Agriculture. This project has received funding from the European Unions' Horizon 2020 Research & Innovation program under Grant Agreement No. 772787-SMARTER. -- Document type: Article Gold Open Access, Green Open Access. -- LICENSE: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. |
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Contenido : |
ABSTRACT.- Conclusions: This work provides a general method to obtain reliabilities for both BLUP and ssGBLUP when several base populations are included through metafounders. © 2023, The Author(s). |
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Palabras claves : |
Best linear unbiased predictions (BLUP); Biological model; Breeding; Correlation; GENOME; Numerical model; Sheep; SISTEMA GANADERO EXTENSIVO - INIA. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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URL : |
https://gsejournal.biomedcentral.com/counter/pdf/10.1186/s12711-023-00778-2.pdf
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Marc : |
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022 $a1297-9686
024 7 $a10.1186/s12711-023-00778-2$2DOI
100 1 $aBERMANN, M.
245 $aReliabilities of estimated breeding values in models with metafounders.$h[electronic resource]
260 $c2023
500 $aArticle history: Received 29 June 2022; Accepted 04 January 2023; Published 23 January 2023. -- Corresponding author: Matias Bermann, Department of Animal and Dairy Science, University of Georgia, Athens, GA, USA, email: mbermann@uga.edu -- FUNDING: This study was partially funded by Agriculture and Food Research Initiative Competitive Grant No. 2020-67015-31030 from the US Department of Agriculture?s National Institute of Food and Agriculture. This project has received funding from the European Unions' Horizon 2020 Research & Innovation program under Grant Agreement No. 772787-SMARTER. -- Document type: Article Gold Open Access, Green Open Access. -- LICENSE: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
520 $aABSTRACT.- Conclusions: This work provides a general method to obtain reliabilities for both BLUP and ssGBLUP when several base populations are included through metafounders. © 2023, The Author(s).
653 $aBest linear unbiased predictions (BLUP)
653 $aBiological model
653 $aBreeding
653 $aCorrelation
653 $aGENOME
653 $aNumerical model
653 $aSheep
653 $aSISTEMA GANADERO EXTENSIVO - INIA
700 1 $aAGUILAR, I.
700 1 $aLOURENCO , D.
700 1 $aMISZTAL, I.
700 1 $aLEGARRA, A.
773 $tGenetics, Selection, Evolution : GSE, 2023, volume55, issue 1, article 6. OPEN ACCESS. doi: https://doi.org/10.1186/s12711-023-00778-2
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